chore(model gallery): add websailor-7b (#6300 )

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
chore(model gallery): add websailor-32b (#6299 )
2026-02-03 11:13:31 -05:00 · 2025-09-17 09:49:58 +02:00 · 2025-09-17 09:48:16 +02:00 · 2025-09-17 09:42:54 +02:00 · 2025-09-17 09:36:25 +02:00 · 2025-09-17 09:22:19 +02:00
337 changed files with 18039 additions and 7094 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -6,6 +6,10 @@ models
 backends
 examples/chatbot-ui/models
 backend/go/image/stablediffusion-ggml/build/
+backend/go/*/build
+backend/go/*/.cache
+backend/go/*/sources
+backend/go/*/package
 examples/rwkv/models
 examples/**/models
 Dockerfile*
--- a/.github/workflows/backend.yml
+++ b/.github/workflows/backend.yml
@@ -87,6 +87,42 @@ jobs:
            backend: "diffusers"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
+          - build-type: 'l4t'
+            cuda-major-version: "12"
+            cuda-minor-version: "8"
+            platforms: 'linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-l4t-diffusers'
+            runs-on: 'ubuntu-24.04-arm'
+            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+            skip-drivers: 'true'
+            backend: "diffusers"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-diffusers'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'true'
+            backend: "diffusers"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-chatterbox'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'true'
+            backend: "chatterbox"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
          # CUDA 11 additional backends
          - build-type: 'cublas'
            cuda-major-version: "11"
@@ -151,7 +187,7 @@ jobs:
          # CUDA 12 builds
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-rerankers'
@@ -163,7 +199,7 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-llama-cpp'
@@ -175,11 +211,11 @@ jobs:
            context: "./"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-vllm'
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
            base-image: "ubuntu:22.04"
            skip-drivers: 'false'
            backend: "vllm"
@@ -187,7 +223,7 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-transformers'
@@ -199,20 +235,20 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-diffusers'
            runs-on: 'ubuntu-latest'
            base-image: "ubuntu:22.04"
            skip-drivers: 'false'
-            backend: "diffusers"            
+            backend: "diffusers"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
          # CUDA 12 additional backends
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-kokoro'
@@ -224,7 +260,7 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-faster-whisper'
@@ -236,7 +272,7 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-coqui'
@@ -248,7 +284,7 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-bark'
@@ -260,7 +296,7 @@ jobs:
            context: "./backend"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-chatterbox'
@@ -278,7 +314,7 @@ jobs:
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-rerankers'
            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "rerankers"
            dockerfile: "./backend/Dockerfile.python"
@@ -290,7 +326,7 @@ jobs:
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-llama-cpp'
            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "llama-cpp"
            dockerfile: "./backend/Dockerfile.llama-cpp"
@@ -301,8 +337,8 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-vllm'
-            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            runs-on: 'arc-runner-set'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "vllm"
            dockerfile: "./backend/Dockerfile.python"
@@ -313,8 +349,8 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-transformers'
-            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            runs-on: 'arc-runner-set'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "transformers"
            dockerfile: "./backend/Dockerfile.python"
@@ -325,8 +361,8 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-diffusers'
-            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            runs-on: 'arc-runner-set'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "diffusers"
            dockerfile: "./backend/Dockerfile.python"
@@ -338,8 +374,8 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-kokoro'
-            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            runs-on: 'arc-runner-set'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "kokoro"
            dockerfile: "./backend/Dockerfile.python"
@@ -351,7 +387,7 @@ jobs:
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-faster-whisper'
            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "faster-whisper"
            dockerfile: "./backend/Dockerfile.python"
@@ -363,7 +399,7 @@ jobs:
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-coqui'
            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "coqui"
            dockerfile: "./backend/Dockerfile.python"
@@ -374,31 +410,19 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-rocm-hipblas-bark'
-            runs-on: 'ubuntu-latest'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            runs-on: 'arc-runner-set'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            skip-drivers: 'false'
            backend: "bark"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
          # sycl builds
-          - build-type: 'sycl_f32'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-rerankers'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "rerankers"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f16'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-rerankers'
+            tag-suffix: '-gpu-intel-rerankers'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
@@ -429,60 +453,36 @@ jobs:
            backend: "llama-cpp"
            dockerfile: "./backend/Dockerfile.llama-cpp"
            context: "./"
-          - build-type: 'sycl_f32'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-vllm'
-            runs-on: 'ubuntu-latest'
+            tag-suffix: '-gpu-intel-vllm'
+            runs-on: 'arc-runner-set'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
            backend: "vllm"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
-          - build-type: 'sycl_f16'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-vllm'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "vllm"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f32'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-transformers'
+            tag-suffix: '-gpu-intel-transformers'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
            backend: "transformers"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
-          - build-type: 'sycl_f16'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-transformers'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "transformers"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f32'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-diffusers'
+            tag-suffix: '-gpu-intel-diffusers'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
@@ -490,96 +490,48 @@ jobs:
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
          # SYCL additional backends
-          - build-type: 'sycl_f32'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-kokoro'
+            tag-suffix: '-gpu-intel-kokoro'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
            backend: "kokoro"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
-          - build-type: 'sycl_f16'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-kokoro'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "kokoro"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f32'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-faster-whisper'
+            tag-suffix: '-gpu-intel-faster-whisper'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
            backend: "faster-whisper"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
-          - build-type: 'sycl_f16'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-faster-whisper'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "faster-whisper"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f32'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-coqui'
+            tag-suffix: '-gpu-intel-coqui'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
            backend: "coqui"
            dockerfile: "./backend/Dockerfile.python"
            context: "./backend"
-          - build-type: 'sycl_f16'
+          - build-type: 'intel'
            cuda-major-version: ""
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-coqui'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "coqui"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f32'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-bark'
-            runs-on: 'ubuntu-latest'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            skip-drivers: 'false'
-            backend: "bark"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./backend"
-          - build-type: 'sycl_f16'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-bark'
+            tag-suffix: '-gpu-intel-bark'
            runs-on: 'ubuntu-latest'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            skip-drivers: 'false'
@@ -626,7 +578,7 @@ jobs:
            context: "./"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/arm64'
            skip-drivers: 'true'
            tag-latest: 'auto'
@@ -663,7 +615,7 @@ jobs:
            context: "./"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-stablediffusion-ggml'
@@ -723,7 +675,7 @@ jobs:
            context: "./"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/arm64'
            skip-drivers: 'true'
            tag-latest: 'auto'
@@ -748,7 +700,7 @@ jobs:
            context: "./"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-nvidia-cuda-12-whisper'
@@ -808,7 +760,7 @@ jobs:
            context: "./"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/arm64'
            skip-drivers: 'true'
            tag-latest: 'auto'
@@ -823,8 +775,8 @@ jobs:
            cuda-minor-version: ""
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-hipblas-whisper'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            tag-suffix: '-gpu-rocm-hipblas-whisper'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            runs-on: 'ubuntu-latest'
            skip-drivers: 'false'
            backend: "whisper"
@@ -868,7 +820,196 @@ jobs:
            skip-drivers: 'false'
            backend: "huggingface"
            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"  
+            context: "./"
+          # rfdetr
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-rfdetr'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "rfdetr"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'cublas'
+            cuda-major-version: "12"
+            cuda-minor-version: "8"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-12-rfdetr'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "rfdetr"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'cublas'
+            cuda-major-version: "11"
+            cuda-minor-version: "7"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-11-rfdetr'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "rfdetr"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'intel'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-intel-rfdetr'
+            runs-on: 'ubuntu-latest'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            skip-drivers: 'false'
+            backend: "rfdetr"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'cublas'
+            cuda-major-version: "12"
+            cuda-minor-version: "8"
+            platforms: 'linux/arm64'
+            skip-drivers: 'true'
+            tag-latest: 'auto'
+            tag-suffix: '-nvidia-l4t-arm64-rfdetr'
+            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+            runs-on: 'ubuntu-24.04-arm'
+            backend: "rfdetr"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          # exllama2
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-exllama2'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "exllama2"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'cublas'
+            cuda-major-version: "12"
+            cuda-minor-version: "8"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-12-exllama2'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "exllama2"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'cublas'
+            cuda-major-version: "11"
+            cuda-minor-version: "7"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-11-exllama2'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "exllama2"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'intel'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-intel-exllama2'
+            runs-on: 'ubuntu-latest'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            skip-drivers: 'false'
+            backend: "exllama2"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          - build-type: 'hipblas'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            skip-drivers: 'true'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-hipblas-exllama2'
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
+            runs-on: 'ubuntu-latest'
+            backend: "exllama2"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+          # runs out of space on the runner
+          # - build-type: 'hipblas'
+          #   cuda-major-version: ""
+          #   cuda-minor-version: ""
+          #   platforms: 'linux/amd64'
+          #   tag-latest: 'auto'
+          #   tag-suffix: '-gpu-hipblas-rfdetr'
+          #   base-image: "rocm/dev-ubuntu-22.04:6.4.3"
+          #   runs-on: 'ubuntu-latest'
+          #   skip-drivers: 'false'
+          #   backend: "rfdetr"
+          #   dockerfile: "./backend/Dockerfile.python"
+          #   context: "./backend"
+          # kitten-tts
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-kitten-tts'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            skip-drivers: 'false'
+            backend: "kitten-tts"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./backend"
+  backend-jobs-darwin:
+    uses: ./.github/workflows/backend_build_darwin.yml
+    strategy:
+      matrix:
+        include:
+          - backend: "diffusers"
+            tag-suffix: "-metal-darwin-arm64-diffusers"
+            build-type: "mps"
+          - backend: "mlx"
+            tag-suffix: "-metal-darwin-arm64-mlx"
+            build-type: "mps"
+          - backend: "chatterbox"
+            tag-suffix: "-metal-darwin-arm64-chatterbox"
+            build-type: "mps"
+          - backend: "mlx-vlm"
+            tag-suffix: "-metal-darwin-arm64-mlx-vlm"
+            build-type: "mps"
+          - backend: "mlx-audio"
+            tag-suffix: "-metal-darwin-arm64-mlx-audio"
+            build-type: "mps"
+          - backend: "stablediffusion-ggml"
+            tag-suffix: "-metal-darwin-arm64-stablediffusion-ggml"
+            build-type: "metal"
+            lang: "go"
+          - backend: "whisper"
+            tag-suffix: "-metal-darwin-arm64-whisper"
+            build-type: "metal"
+            lang: "go"
+    with:
+      backend: ${{ matrix.backend }}
+      build-type: ${{ matrix.build-type }}
+      go-version: "1.24.x"
+      tag-suffix: ${{ matrix.tag-suffix }}
+      lang: ${{ matrix.lang || 'python' }}
+      use-pip: ${{ matrix.backend == 'diffusers' }}
+      runs-on: "macOS-14"
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
  llama-cpp-darwin:
    runs-on: macOS-14
    strategy:
@@ -876,7 +1017,7 @@ jobs:
        go-version: ['1.21.x']
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Setup Go ${{ matrix.go-version }}
@@ -893,21 +1034,19 @@ jobs:
      - name: Build llama-cpp-darwin
        run: |
          make protogen-go
-          make build
-          bash scripts/build-llama-cpp-darwin.sh
-          ls -la build/darwin.tar
-          mv build/darwin.tar build/llama-cpp.tar
+          make backends/llama-cpp-darwin
      - name: Upload llama-cpp.tar
        uses: actions/upload-artifact@v4
        with:
          name: llama-cpp-tar
-          path: build/llama-cpp.tar
+          path: backend-images/llama-cpp.tar
  llama-cpp-darwin-publish:
    needs: llama-cpp-darwin
+    if: github.event_name != 'pull_request'
    runs-on: ubuntu-latest
    steps:
      - name: Download llama-cpp.tar
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
        with:
          name: llama-cpp-tar
          path: .
@@ -964,7 +1103,7 @@ jobs:
        go-version: ['1.21.x']
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Setup Go ${{ matrix.go-version }}
@@ -983,20 +1122,19 @@ jobs:
          make protogen-go
          make build
          export PLATFORMARCH=darwin/amd64
-          bash scripts/build-llama-cpp-darwin.sh
-          ls -la build/darwin.tar
-          mv build/darwin.tar build/llama-cpp.tar
+          make backends/llama-cpp-darwin
      - name: Upload llama-cpp.tar
        uses: actions/upload-artifact@v4
        with:
          name: llama-cpp-tar-x86
-          path: build/llama-cpp.tar
+          path: backend-images/llama-cpp.tar
  llama-cpp-darwin-x86-publish:
+    if: github.event_name != 'pull_request'
    needs: llama-cpp-darwin-x86
    runs-on: ubuntu-latest
    steps:
      - name: Download llama-cpp.tar
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
        with:
          name: llama-cpp-tar-x86
          path: .
@@ -1045,4 +1183,4 @@ jobs:
        run: |
          for tag in $(echo "${{ steps.quaymeta.outputs.tags }}" | tr ',' '\n'); do
            crane push llama-cpp.tar $tag
-          done
+          done
--- a/.github/workflows/backend_build.yml
+++ b/.github/workflows/backend_build.yml
@@ -55,9 +55,9 @@ on:
        type: string
    secrets:
      dockerUsername:
-        required: true
+        required: false
      dockerPassword:
-        required: true
+        required: false
      quayUsername:
        required: true
      quayPassword:
@@ -66,6 +66,8 @@ on:
 jobs:
  backend-build:
    runs-on: ${{ inputs.runs-on }}
+    env:
+        quay_username: ${{ secrets.quayUsername }}
    steps:


@@ -95,7 +97,7 @@ jobs:
          && sudo apt-get install -y git

      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Release space from worker
        if: inputs.runs-on == 'ubuntu-latest'
@@ -187,7 +189,7 @@ jobs:
          password: ${{ secrets.dockerPassword }}

      - name: Login to Quay.io
-        # if: github.event_name != 'pull_request'
+        if: ${{ env.quay_username != '' }}
        uses: docker/login-action@v3
        with:
          registry: quay.io
@@ -230,7 +232,7 @@ jobs:
          file: ${{ inputs.dockerfile }}
          cache-from: type=gha
          platforms: ${{ inputs.platforms }}
-          push: true
+          push: ${{ env.quay_username != '' }}
          tags: ${{ steps.meta_pull_request.outputs.tags }}
          labels: ${{ steps.meta_pull_request.outputs.labels }}

@@ -238,4 +240,4 @@ jobs:

      - name: job summary
        run: |
-          echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY 
+          echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY
--- a/.github/workflows/backend_build_darwin.yml
+++ b/.github/workflows/backend_build_darwin.yml
@@ -0,0 +1,144 @@
+---
+name: 'build darwin python backend container images (reusable)'
+
+on:
+  workflow_call:
+    inputs:
+      backend:
+        description: 'Backend to build'
+        required: true
+        type: string
+      build-type:
+        description: 'Build type (e.g., mps)'
+        default: ''
+        type: string
+      use-pip:
+        description: 'Use pip to install dependencies'
+        default: false
+        type: boolean
+      lang:
+        description: 'Programming language (e.g. go)'
+        default: 'python'
+        type: string
+      go-version:
+        description: 'Go version to use'
+        default: '1.24.x'
+        type: string
+      tag-suffix:
+        description: 'Tag suffix for the built image'
+        required: true
+        type: string
+      runs-on:
+        description: 'Runner to use'
+        default: 'macOS-14'
+        type: string
+    secrets:
+      dockerUsername:
+        required: false
+      dockerPassword:
+        required: false
+      quayUsername:
+        required: true
+      quayPassword:
+        required: true
+
+jobs:
+  darwin-backend-build:
+    runs-on: ${{ inputs.runs-on }}
+    strategy:
+      matrix:
+        go-version: ['${{ inputs.go-version }}']
+    steps:
+      - name: Clone
+        uses: actions/checkout@v5
+        with:
+          submodules: true
+
+      - name: Setup Go ${{ matrix.go-version }}
+        uses: actions/setup-go@v5
+        with:
+          go-version: ${{ matrix.go-version }}
+          cache: false
+
+      # You can test your matrix by printing the current Go version
+      - name: Display Go version
+        run: go version
+
+      - name: Dependencies
+        run: |
+          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm
+
+      - name: Build ${{ inputs.backend }}-darwin
+        run: |
+          make protogen-go
+          BACKEND=${{ inputs.backend }} BUILD_TYPE=${{ inputs.build-type }} USE_PIP=${{ inputs.use-pip }} make build-darwin-${{ inputs.lang }}-backend
+
+      - name: Upload ${{ inputs.backend }}.tar
+        uses: actions/upload-artifact@v4
+        with:
+          name: ${{ inputs.backend }}-tar
+          path: backend-images/${{ inputs.backend }}.tar
+
+  darwin-backend-publish:
+    needs: darwin-backend-build
+    if: github.event_name != 'pull_request'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Download ${{ inputs.backend }}.tar
+        uses: actions/download-artifact@v5
+        with:
+          name: ${{ inputs.backend }}-tar
+          path: .
+
+      - name: Install crane
+        run: |
+          curl -L https://github.com/google/go-containerregistry/releases/latest/download/go-containerregistry_Linux_x86_64.tar.gz | tar -xz
+          sudo mv crane /usr/local/bin/
+
+      - name: Log in to DockerHub
+        run: |
+          echo "${{ secrets.dockerPassword }}" | crane auth login docker.io -u "${{ secrets.dockerUsername }}" --password-stdin
+
+      - name: Log in to quay.io
+        run: |
+          echo "${{ secrets.quayPassword }}" | crane auth login quay.io -u "${{ secrets.quayUsername }}" --password-stdin
+
+      - name: Docker meta
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            localai/localai-backends
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=sha
+          flavor: |
+            latest=auto
+            suffix=${{ inputs.tag-suffix }},onlatest=true
+
+      - name: Docker meta
+        id: quaymeta
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            quay.io/go-skynet/local-ai-backends
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=sha
+          flavor: |
+            latest=auto
+            suffix=${{ inputs.tag-suffix }},onlatest=true
+
+      - name: Push Docker image (DockerHub)
+        run: |
+          for tag in $(echo "${{ steps.meta.outputs.tags }}" | tr ',' '\n'); do
+            crane push ${{ inputs.backend }}.tar $tag
+          done
+
+      - name: Push Docker image (Quay)
+        run: |
+          for tag in $(echo "${{ steps.quaymeta.outputs.tags }}" | tr ',' '\n'); do
+            crane push ${{ inputs.backend }}.tar $tag
+          done
--- a/.github/workflows/backend_pr.yml
+++ b/.github/workflows/backend_pr.yml
@@ -0,0 +1,78 @@
+name: 'build backend container images (PR-filtered)'
+
+on:
+  pull_request:
+
+concurrency:
+  group: ci-backends-pr-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  generate-matrix:
+    runs-on: ubuntu-latest
+    outputs:
+      matrix: ${{ steps.set-matrix.outputs.matrix }}
+      matrix-darwin: ${{ steps.set-matrix.outputs.matrix-darwin }}
+      has-backends: ${{ steps.set-matrix.outputs.has-backends }}
+      has-backends-darwin: ${{ steps.set-matrix.outputs.has-backends-darwin }}
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v5
+
+      - name: Setup Bun
+        uses: oven-sh/setup-bun@v2
+
+      - name: Install dependencies
+        run: |
+          bun add js-yaml
+          bun add @octokit/core
+
+      # filters the matrix in backend.yml
+      - name: Filter matrix for changed backends
+        id: set-matrix
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITHUB_EVENT_PATH: ${{ github.event_path }}
+        run: bun run scripts/changed-backends.js
+
+  backend-jobs:
+    needs: generate-matrix
+    uses: ./.github/workflows/backend_build.yml
+    if: needs.generate-matrix.outputs.has-backends == 'true'
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      runs-on: ${{ matrix.runs-on }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
+  backend-jobs-darwin:
+    needs: generate-matrix
+    uses: ./.github/workflows/backend_build_darwin.yml
+    if: needs.generate-matrix.outputs.has-backends-darwin == 'true'
+    with:
+      backend: ${{ matrix.backend }}
+      build-type: ${{ matrix.build-type }}
+      go-version: "1.24.x"
+      tag-suffix: ${{ matrix.tag-suffix }}
+      lang: ${{ matrix.lang || 'python' }}
+      use-pip: ${{ matrix.backend == 'diffusers' }}
+      runs-on: "macOS-14"
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix-darwin) }}
--- a/.github/workflows/build-test.yaml
+++ b/.github/workflows/build-test.yaml
@@ -11,7 +11,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          fetch-depth: 0
      - name: Set up Go
@@ -21,3 +21,47 @@ jobs:
      - name: Run GoReleaser
        run: |
          make dev-dist
+  launcher-build-darwin:
+    runs-on: macos-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.23
+      - name: Build launcher for macOS ARM64
+        run: |
+          make build-launcher-darwin
+          ls -liah dist
+      - name: Upload macOS launcher artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: launcher-macos
+          path: dist/
+          retention-days: 30
+      
+  launcher-build-linux:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.23
+      - name: Build launcher for Linux
+        run: |
+          sudo apt-get update
+          sudo apt-get install golang gcc libgl1-mesa-dev xorg-dev libxkbcommon-dev
+          make build-launcher-linux
+      - name: Upload Linux launcher artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: launcher-linux
+          path: local-ai-launcher-linux.tar.xz
+          retention-days: 30
--- a/.github/workflows/bump_deps.yaml
+++ b/.github/workflows/bump_deps.yaml
@@ -31,7 +31,7 @@ jobs:
            file: "backend/go/piper/Makefile"
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      - name: Bump dependencies 🔧
        id: bump
        run: |
--- a/.github/workflows/bump_docs.yaml
+++ b/.github/workflows/bump_docs.yaml
@@ -12,7 +12,7 @@ jobs:
          - repository: "mudler/LocalAI"
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      - name: Bump dependencies 🔧
        run: |
          bash .github/bump_docs.sh ${{ matrix.repository }}
--- a/.github/workflows/checksum_checker.yaml
+++ b/.github/workflows/checksum_checker.yaml
@@ -15,7 +15,7 @@ jobs:
          && sudo add-apt-repository -y ppa:git-core/ppa \
          && sudo apt-get update \
          && sudo apt-get install -y git
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      - name: Install dependencies
        run: |
          sudo apt-get update
--- a/.github/workflows/dependabot_auto.yml
+++ b/.github/workflows/dependabot_auto.yml
@@ -20,7 +20,7 @@ jobs:
          skip-commit-verification: true

      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Approve a PR if not already approved
        run: |
--- a/.github/workflows/deploy-explorer.yaml
+++ b/.github/workflows/deploy-explorer.yaml
@@ -15,7 +15,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - uses: actions/setup-go@v5
--- a/.github/workflows/generate_grpc_cache.yaml
+++ b/.github/workflows/generate_grpc_cache.yaml
@@ -73,7 +73,7 @@ jobs:
        uses: docker/setup-buildx-action@master

      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Cache GRPC
        uses: docker/build-push-action@v6
--- a/.github/workflows/generate_intel_image.yaml
+++ b/.github/workflows/generate_intel_image.yaml
@@ -43,7 +43,7 @@ jobs:
        uses: docker/setup-buildx-action@master

      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Cache Intel images
        uses: docker/build-push-action@v6
--- a/.github/workflows/image-pr.yml
+++ b/.github/workflows/image-pr.yml
@@ -36,10 +36,10 @@ jobs:
        include:
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            tag-suffix: '-gpu-nvidia-cuda12'
+            tag-suffix: '-gpu-nvidia-cuda-12'
            runs-on: 'ubuntu-latest'
            base-image: "ubuntu:22.04"
            makeflags: "--jobs=3 --output-sync=target"
@@ -47,16 +47,16 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-hipblas'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            grpc-base-image: "ubuntu:22.04"
            runs-on: 'ubuntu-latest'
            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'sycl_f16'
+          - build-type: 'sycl'
            platforms: 'linux/amd64'
            tag-latest: 'false'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
-            tag-suffix: 'sycl-f16'
+            tag-suffix: 'sycl'
            runs-on: 'ubuntu-latest'
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'vulkan'
--- a/.github/workflows/image.yml
+++ b/.github/workflows/image.yml
@@ -39,7 +39,7 @@ jobs:
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-gpu-hipblas'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            base-image: "rocm/dev-ubuntu-22.04:6.4.3"
            grpc-base-image: "ubuntu:22.04"
            runs-on: 'ubuntu-latest'
            makeflags: "--jobs=3 --output-sync=target"
@@ -83,7 +83,7 @@ jobs:
            cuda-minor-version: "7"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda11'
+            tag-suffix: '-gpu-nvidia-cuda-11'
            runs-on: 'ubuntu-latest'
            base-image: "ubuntu:22.04"
            makeflags: "--jobs=4 --output-sync=target"
@@ -91,10 +91,10 @@ jobs:
            aio: "-aio-gpu-nvidia-cuda-11"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda12'
+            tag-suffix: '-gpu-nvidia-cuda-12'
            runs-on: 'ubuntu-latest'
            base-image: "ubuntu:22.04"
            skip-drivers: 'false'
@@ -109,24 +109,15 @@ jobs:
            skip-drivers: 'false'
            makeflags: "--jobs=4 --output-sync=target"
            aio: "-aio-gpu-vulkan"
-          - build-type: 'sycl_f16'
+          - build-type: 'intel'
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
-            tag-suffix: '-gpu-intel-f16'
+            tag-suffix: '-gpu-intel'
            runs-on: 'ubuntu-latest'
            makeflags: "--jobs=3 --output-sync=target"
-            aio: "-aio-gpu-intel-f16"
-          - build-type: 'sycl_f32'
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            grpc-base-image: "ubuntu:22.04"
-            tag-suffix: '-gpu-intel-f32'
-            runs-on: 'ubuntu-latest'
-            makeflags: "--jobs=3 --output-sync=target"
-            aio: "-aio-gpu-intel-f32"
+            aio: "-aio-gpu-intel"

  gh-runner:
    uses: ./.github/workflows/image_build.yml
@@ -153,7 +144,7 @@ jobs:
        include:
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "0"
+            cuda-minor-version: "8"
            platforms: 'linux/arm64'
            tag-latest: 'auto'
            tag-suffix: '-nvidia-l4t-arm64'
--- a/.github/workflows/image_build.yml
+++ b/.github/workflows/image_build.yml
@@ -94,7 +94,7 @@ jobs:
          && sudo apt-get update \
          && sudo apt-get install -y git
      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Release space from worker
        if: inputs.runs-on == 'ubuntu-latest'
--- a/.github/workflows/labeler.yml
+++ b/.github/workflows/labeler.yml
@@ -9,4 +9,4 @@ jobs:
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
-    - uses: actions/labeler@v5
+    - uses: actions/labeler@v6
--- a/.github/workflows/localaibot_automerge.yml
+++ b/.github/workflows/localaibot_automerge.yml
@@ -13,7 +13,7 @@ jobs:
    if: ${{ github.actor == 'localai-bot' }}
    steps:
      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Approve a PR if not already approved
        run: |
--- a/.github/workflows/notify-models.yaml
+++ b/.github/workflows/notify-models.yaml
@@ -11,7 +11,7 @@ jobs:
        MODEL_NAME: gemma-3-12b-it
    runs-on: ubuntu-latest
    steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v5
      with:
        fetch-depth: 0 # needed to checkout all branches for this Action to work
    - uses: mudler/localai-github-action@v1
@@ -90,7 +90,7 @@ jobs:
        MODEL_NAME: gemma-3-12b-it
    runs-on: ubuntu-latest
    steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v5
      with:
        fetch-depth: 0 # needed to checkout all branches for this Action to work
    - name: Start LocalAI
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -10,7 +10,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          fetch-depth: 0
      - name: Set up Go
@@ -23,4 +23,42 @@ jobs:
          version: v2.11.0
          args: release --clean
        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+  launcher-build-darwin:
+    runs-on: macos-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.23
+      - name: Build launcher for macOS ARM64
+        run: |
+          make build-launcher-darwin
+      - name: Upload DMG to Release
+        uses: softprops/action-gh-release@v2
+        with:
+          files: ./dist/LocalAI.dmg
+  launcher-build-linux:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.23
+      - name: Build launcher for Linux
+        run: |
+          sudo apt-get update
+          sudo apt-get install golang gcc libgl1-mesa-dev xorg-dev libxkbcommon-dev
+          make build-launcher-linux
+      - name: Upload Linux launcher artifacts
+        uses: softprops/action-gh-release@v2
+        with:
+          files: ./local-ai-launcher-linux.tar.xz
--- a/.github/workflows/secscan.yaml
+++ b/.github/workflows/secscan.yaml
@@ -14,11 +14,11 @@ jobs:
      GO111MODULE: on
    steps:
      - name: Checkout Source
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        if: ${{ github.actor != 'dependabot[bot]' }}
      - name: Run Gosec Security Scanner
        if: ${{ github.actor != 'dependabot[bot]' }}
-        uses: securego/gosec@v2.22.7
+        uses: securego/gosec@v2.22.8
        with:
          # we let the report trigger content trigger a failure using the GitHub Security features.
          args: '-no-fail -fmt sarif -out results.sarif ./...'
--- a/.github/workflows/stalebot.yml
+++ b/.github/workflows/stalebot.yml
@@ -10,7 +10,7 @@ jobs:
  stale:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/stale@5bef64f19d7facfb25b37b414482c7164d639639 # v9
+      - uses: actions/stale@3a9db7e6a41a89f618792c92c0e97cc736e1b13f # v9
        with:
          stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
          stale-pr-message: 'This PR is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 10 days.'
--- a/.github/workflows/test-extra.yml
+++ b/.github/workflows/test-extra.yml
@@ -19,7 +19,7 @@ jobs:
  #   runs-on: ubuntu-latest
  #   steps:
  #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v5
  #       with:
  #         submodules: true
  #     - name: Dependencies
@@ -40,7 +40,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Dependencies
@@ -61,7 +61,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Dependencies
@@ -83,7 +83,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Dependencies
@@ -104,7 +104,7 @@ jobs:
  #  runs-on: ubuntu-latest
  #  steps:
  #    - name: Clone
-  #      uses: actions/checkout@v4
+  #      uses: actions/checkout@v5
  #      with:
  #        submodules: true
  #    - name: Dependencies
@@ -124,7 +124,7 @@ jobs:
  #   runs-on: ubuntu-latest
  #   steps:
  #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v5
  #       with:
  #         submodules: true
  #     - name: Dependencies
@@ -186,7 +186,7 @@ jobs:
  #           sudo rm -rf "$AGENT_TOOLSDIRECTORY" || true
  #           df -h
  #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v5
  #       with:
  #         submodules: true
  #     - name: Dependencies
@@ -211,7 +211,7 @@ jobs:
  #   runs-on: ubuntu-latest
  #   steps:
  #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v5
  #       with:
  #         submodules: true
  #     - name: Dependencies
@@ -232,7 +232,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Dependencies
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -23,6 +23,20 @@ jobs:
      matrix:
        go-version: ['1.21.x']
    steps:
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: true
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: true
+          swap-storage: true
      - name: Release space from worker
        run: |
          echo "Listing top largest packages"
@@ -56,7 +70,7 @@ jobs:
          sudo rm -rfv build || true
          df -h
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Setup Go ${{ matrix.go-version }}
@@ -152,7 +166,7 @@ jobs:
          sudo rm -rfv build || true
          df -h
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Dependencies
@@ -182,7 +196,7 @@ jobs:
        go-version: ['1.21.x']
    steps:
      - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          submodules: true
      - name: Setup Go ${{ matrix.go-version }}
@@ -200,11 +214,7 @@ jobs:
      - name: Build llama-cpp-darwin
        run: |
          make protogen-go
-          make build
-          bash scripts/build-llama-cpp-darwin.sh
-          ls -la build/darwin.tar
-          mv build/darwin.tar build/llama-cpp.tar
-          ./local-ai backends install "ocifile://$PWD/build/llama-cpp.tar"
+          make backends/llama-cpp-darwin
      - name: Test
        run: |
          export C_INCLUDE_PATH=/usr/local/include
--- a/.github/workflows/update_swagger.yaml
+++ b/.github/workflows/update_swagger.yaml
@@ -9,7 +9,7 @@ jobs:
      fail-fast: false
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      - uses: actions/setup-go@v5
        with:
          go-version: 'stable'
--- a/.gitignore
+++ b/.gitignore
@@ -24,7 +24,7 @@ go-bert

 # LocalAI build binary
 LocalAI
-local-ai
+/local-ai
 # prevent above rules from omitting the helm chart
 !charts/*
 # prevent above rules from omitting the api/localai folder
--- a/.goreleaser.yaml
+++ b/.goreleaser.yaml
@@ -8,7 +8,7 @@ source:
  enabled: true
  name_template: '{{ .ProjectName }}-{{ .Tag }}-source'
 builds:
-  -
+  - main: ./cmd/local-ai
    env:
      - CGO_ENABLED=0
    ldflags:
--- a/10
+++ b/10
@@ -9,7 +9,7 @@ ENV DEBIAN_FRONTEND=noninteractive
 RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        ca-certificates curl wget espeak-ng libgomp1 \
-        python3 python-is-python3 ffmpeg && \
+        ffmpeg libopenblas-base libopenblas-dev && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

@@ -18,7 +18,7 @@ FROM requirements AS requirements-drivers

 ARG BUILD_TYPE
 ARG CUDA_MAJOR_VERSION=12
-ARG CUDA_MINOR_VERSION=0
+ARG CUDA_MINOR_VERSION=8
 ARG SKIP_DRIVERS=false
 ARG TARGETARCH
 ARG TARGETVARIANT
@@ -100,6 +100,12 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
        ldconfig \
    ; fi

+RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
+    ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
+    ; fi
+
+RUN expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel"
+
 # Cuda
 ENV PATH=/usr/local/cuda/bin:${PATH}

--- a/165
+++ b/165
@@ -2,11 +2,10 @@ GOCMD=go
 GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
+LAUNCHER_BINARY_NAME=local-ai-launcher

 GORELEASER?=

-ONEAPI_VERSION?=2025.2
-
 export BUILD_TYPE?=

 GO_TAGS?=
@@ -92,7 +91,17 @@ build: protogen-go install-go-tools ## Build the project
 	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
 	$(info ${GREEN}I UPX: ${YELLOW}$(UPX)${RESET})
 	rm -rf $(BINARY_NAME) || true
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./cmd/local-ai
+
+build-launcher: ## Build the launcher application
+	$(info ${GREEN}I local-ai launcher build info:${RESET})
+	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
+	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
+	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
+	rm -rf $(LAUNCHER_BINARY_NAME) || true
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(LAUNCHER_BINARY_NAME) ./cmd/launcher
+
+build-all: build build-launcher ## Build both server and launcher

 dev-dist:
 	$(GORELEASER) build --snapshot --clean
@@ -108,8 +117,8 @@ run: ## run local-ai
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./

 test-models/testmodel.ggml:
-	mkdir test-models
-	mkdir test-dir
+	mkdir -p test-models
+	mkdir -p test-dir
 	wget -q https://huggingface.co/mradermacher/gpt2-alpaca-gpt4-GGUF/resolve/main/gpt2-alpaca-gpt4.Q4_K_M.gguf -O test-models/testmodel.ggml
 	wget -q https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
 	wget -q https://huggingface.co/mudler/all-MiniLM-L6-v2/resolve/main/ggml-model-q4_0.bin -O test-models/bert
@@ -134,27 +143,6 @@ test: test-models/testmodel.ggml protogen-go
 	$(MAKE) test-tts
 	$(MAKE) test-stablediffusion

-backends/llama-cpp: docker-build-llama-cpp docker-save-llama-cpp build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp.tar)"
-
-backends/piper: docker-build-piper docker-save-piper build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/piper.tar)"
-
-backends/stablediffusion-ggml: docker-build-stablediffusion-ggml docker-save-stablediffusion-ggml build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/stablediffusion-ggml.tar)"
-
-backends/whisper: docker-build-whisper docker-save-whisper build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/whisper.tar)"
-
-backends/silero-vad: docker-build-silero-vad docker-save-silero-vad build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/silero-vad.tar)"
-
-backends/local-store: docker-build-local-store docker-save-local-store build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/local-store.tar)"
-
-backends/huggingface: docker-build-huggingface docker-save-huggingface build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/huggingface.tar)"
-
 ########################################################
 ## AIO tests
 ########################################################
@@ -182,7 +170,7 @@ prepare-e2e:
 	mkdir -p $(TEST_DIR)
 	cp -rfv $(abspath ./tests/e2e-fixtures)/gpu.yaml $(TEST_DIR)/gpu.yaml
 	test -e $(TEST_DIR)/ggllm-test-model.bin || wget -q https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF/resolve/main/codellama-7b-instruct.Q2_K.gguf -O $(TEST_DIR)/ggllm-test-model.bin
-	docker build --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=0 -t localai-tests .
+	docker build --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=8 -t localai-tests .

 run-e2e-image:
 	ls -liah $(abspath ./tests/e2e-fixtures)
@@ -322,7 +310,7 @@ docker-cuda11:
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
-		-t $(DOCKER_IMAGE)-cuda11 .
+		-t $(DOCKER_IMAGE)-cuda-11 .

 docker-aio:
 	@echo "Building AIO image with base $(BASE_IMAGE) as $(DOCKER_AIO_IMAGE)"
@@ -337,24 +325,83 @@ docker-aio-all:

 docker-image-intel:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:${ONEAPI_VERSION}.0-0-devel-ubuntu24.04 \
+		--build-arg BASE_IMAGE=quay.io/go-skynet/intel-oneapi-base:latest \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
-		--build-arg BUILD_TYPE=sycl_f32 -t $(DOCKER_IMAGE) .
-
-docker-image-intel-xpu:
-	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:${ONEAPI_VERSION}.0-0-devel-ubuntu22.04 \
-		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
-		--build-arg GO_TAGS="$(GO_TAGS)" \
-		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
-		--build-arg BUILD_TYPE=sycl_f32 -t $(DOCKER_IMAGE) .
+		--build-arg BUILD_TYPE=intel -t $(DOCKER_IMAGE) .

 ########################################################
 ## Backends
 ########################################################

+
+backends/diffusers: docker-build-diffusers docker-save-diffusers build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/diffusers.tar)"
+
+backends/llama-cpp: docker-build-llama-cpp docker-save-llama-cpp build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp.tar)"
+
+backends/piper: docker-build-piper docker-save-piper build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/piper.tar)"
+
+backends/stablediffusion-ggml: docker-build-stablediffusion-ggml docker-save-stablediffusion-ggml build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/stablediffusion-ggml.tar)"
+
+backends/whisper: docker-build-whisper docker-save-whisper build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/whisper.tar)"
+
+backends/silero-vad: docker-build-silero-vad docker-save-silero-vad build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/silero-vad.tar)"
+
+backends/local-store: docker-build-local-store docker-save-local-store build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/local-store.tar)"
+
+backends/huggingface: docker-build-huggingface docker-save-huggingface build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/huggingface.tar)"
+
+backends/rfdetr: docker-build-rfdetr docker-save-rfdetr build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/rfdetr.tar)"
+
+backends/kitten-tts: docker-build-kitten-tts docker-save-kitten-tts build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/kitten-tts.tar)"
+
+backends/kokoro: docker-build-kokoro docker-save-kokoro build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/kokoro.tar)"
+
+backends/chatterbox: docker-build-chatterbox docker-save-chatterbox build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/chatterbox.tar)"
+
+backends/llama-cpp-darwin: build
+	bash ./scripts/build/llama-cpp-darwin.sh
+	./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp.tar)"
+
+build-darwin-python-backend: build
+	bash ./scripts/build/python-darwin.sh
+
+build-darwin-go-backend: build
+	bash ./scripts/build/golang-darwin.sh
+
+backends/mlx:
+	BACKEND=mlx $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx.tar)"
+
+backends/diffuser-darwin:
+	BACKEND=diffusers $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/diffusers.tar)"
+
+backends/mlx-vlm:
+	BACKEND=mlx-vlm $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx-vlm.tar)"
+
+backends/mlx-audio:
+	BACKEND=mlx-audio $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx-audio.tar)"
+
+backends/stablediffusion-ggml-darwin:
+	BACKEND=stablediffusion-ggml BUILD_TYPE=metal $(MAKE) build-darwin-go-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/stablediffusion-ggml.tar)"
+
 backend-images:
 	mkdir -p backend-images

@@ -373,6 +420,24 @@ docker-build-local-store:
 docker-build-huggingface:
 	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:huggingface -f backend/Dockerfile.golang --build-arg BACKEND=huggingface .

+docker-build-rfdetr:
+	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:rfdetr -f backend/Dockerfile.python --build-arg BACKEND=rfdetr ./backend
+
+docker-build-kitten-tts:
+	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:kitten-tts -f backend/Dockerfile.python --build-arg BACKEND=kitten-tts ./backend
+
+docker-save-kitten-tts: backend-images
+	docker save local-ai-backend:kitten-tts -o backend-images/kitten-tts.tar
+
+docker-build-kokoro:
+	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:kokoro -f backend/Dockerfile.python --build-arg BACKEND=kokoro ./backend
+
+docker-save-kokoro: backend-images
+	docker save local-ai-backend:kokoro -o backend-images/kokoro.tar
+
+docker-save-rfdetr: backend-images
+	docker save local-ai-backend:rfdetr -o backend-images/rfdetr.tar
+
 docker-save-huggingface: backend-images
 	docker save local-ai-backend:huggingface -o backend-images/huggingface.tar

@@ -410,10 +475,10 @@ docker-build-transformers:
 	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:transformers -f backend/Dockerfile.python --build-arg BACKEND=transformers .

 docker-build-diffusers:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:diffusers -f backend/Dockerfile.python --build-arg BACKEND=diffusers .
+	docker build --progress=plain --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:diffusers -f backend/Dockerfile.python --build-arg BACKEND=diffusers ./backend

-docker-build-kokoro:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:kokoro -f backend/Dockerfile.python --build-arg BACKEND=kokoro .
+docker-save-diffusers: backend-images
+	docker save local-ai-backend:diffusers -o backend-images/diffusers.tar

 docker-build-whisper:
 	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:whisper -f backend/Dockerfile.golang --build-arg BACKEND=whisper  .
@@ -431,7 +496,7 @@ docker-build-bark:
 	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:bark -f backend/Dockerfile.python --build-arg BACKEND=bark .

 docker-build-chatterbox:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:chatterbox -f backend/Dockerfile.python --build-arg BACKEND=chatterbox .
+	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:chatterbox -f backend/Dockerfile.python --build-arg BACKEND=chatterbox ./backend

 docker-build-exllama2:
 	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:exllama2 -f backend/Dockerfile.python --build-arg BACKEND=exllama2 .
@@ -467,3 +532,19 @@ docs-clean:
 .PHONY: docs
 docs: docs/static/gallery.html
 	cd docs && hugo serve
+
+########################################################
+## Platform-specific builds
+########################################################
+
+## fyne cross-platform build
+build-launcher-darwin: build-launcher
+	go run github.com/tiagomelo/macos-dmg-creator/cmd/createdmg@latest \
+	--appName "LocalAI" \
+	--appBinaryPath "$(LAUNCHER_BINARY_NAME)" \
+	--bundleIdentifier "com.localai.launcher" \
+	--iconPath "core/http/static/logo.png" \
+	--outputDir "dist/"
+
+build-launcher-linux:
+	cd cmd/launcher && go run fyne.io/tools/cmd/fyne@latest package -os linux -icon ../../core/http/static/logo.png --executable $(LAUNCHER_BINARY_NAME)-linux && mv launcher.tar.xz ../../$(LAUNCHER_BINARY_NAME)-linux.tar.xz
--- a/README.md
+++ b/README.md
@@ -43,7 +43,7 @@

 > :bulb: Get help - [❓FAQ](https://localai.io/faq/) [💭Discussions](https://github.com/go-skynet/LocalAI/discussions) [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) [:book: Documentation website](https://localai.io/)
 >
-> [💻 Quickstart](https://localai.io/basics/getting_started/) [🖼️ Models](https://models.localai.io/) [🚀 Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) [🥽 Demo](https://demo.localai.io) [🌍 Explorer](https://explorer.localai.io) [🛫 Examples](https://github.com/mudler/LocalAI-examples) Try on 
+> [💻 Quickstart](https://localai.io/basics/getting_started/) [🖼️ Models](https://models.localai.io/) [🚀 Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) [🌍 Explorer](https://explorer.localai.io) [🛫 Examples](https://github.com/mudler/LocalAI-examples) Try on 
 [![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/localaiofficial_bot)

 [![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[![Build and Release](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[![Bump dependencies](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/localai)](https://artifacthub.io/packages/search?repo=localai)
@@ -110,6 +110,12 @@ curl https://localai.io/install.sh | sh

 For more installation options, see [Installer Options](https://localai.io/docs/advanced/installer/).

+### macOS Download:
+
+<a href="https://github.com/mudler/LocalAI/releases/latest/download/LocalAI.dmg">
+  <img src="https://img.shields.io/badge/Download-macOS-blue?style=for-the-badge&logo=apple&logoColor=white" alt="Download LocalAI for macOS"/>
+</a>
+
 Or run with docker:

 ### CPU only image:
@@ -140,11 +146,7 @@ docker run -ti --name local-ai -p 8080:8080 --device=/dev/kfd --device=/dev/dri
 ### Intel GPU Images (oneAPI):

 ```bash
-# Intel GPU with FP16 support
-docker run -ti --name local-ai -p 8080:8080 --device=/dev/dri/card1 --device=/dev/dri/renderD128 localai/localai:latest-gpu-intel-f16
-
-# Intel GPU with FP32 support
-docker run -ti --name local-ai -p 8080:8080 --device=/dev/dri/card1 --device=/dev/dri/renderD128 localai/localai:latest-gpu-intel-f32
+docker run -ti --name local-ai -p 8080:8080 --device=/dev/dri/card1 --device=/dev/dri/renderD128 localai/localai:latest-gpu-intel
 ```

 ### Vulkan GPU Images:
@@ -166,7 +168,7 @@ docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-ai
 docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-11

 # Intel GPU version
-docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-gpu-intel-f16
+docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-gpu-intel

 # AMD GPU version
 docker run -ti --name local-ai -p 8080:8080 --device=/dev/kfd --device=/dev/dri --group-add=video localai/localai:latest-aio-gpu-hipblas
@@ -189,10 +191,14 @@ local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
 local-ai run oci://localai/phi-2:latest
 ```

+> ⚡ **Automatic Backend Detection**: When you install models from the gallery or YAML files, LocalAI automatically detects your system's GPU capabilities (NVIDIA, AMD, Intel) and downloads the appropriate backend. For advanced configuration options, see [GPU Acceleration](https://localai.io/features/gpu-acceleration/#automatic-backend-detection).
+
 For more information, see [💻 Getting started](https://localai.io/basics/getting_started/index.html)

 ## 📰 Latest project news

+- August 2025: MLX, MLX-VLM, Diffusers and llama.cpp are now supported on Mac M1/M2/M3+ chips ( with `development` suffix in the gallery ): https://github.com/mudler/LocalAI/pull/6049 https://github.com/mudler/LocalAI/pull/6119 https://github.com/mudler/LocalAI/pull/6121 https://github.com/mudler/LocalAI/pull/6060
+- July/August 2025: 🔍 [Object Detection](https://localai.io/features/object-detection/) added to the API featuring [rf-detr](https://github.com/roboflow/rf-detr)
 - July 2025: All backends migrated outside of the main binary. LocalAI is now more lightweight, small, and automatically downloads the required backend to run the model. [Read the release notes](https://github.com/mudler/LocalAI/releases/tag/v3.2.0)
 - June 2025: [Backend management](https://github.com/mudler/LocalAI/pull/5607) has been added. Attention: extras images are going to be deprecated from the next release! Read [the backend management PR](https://github.com/mudler/LocalAI/pull/5607).
 - May 2025: [Audio input](https://github.com/mudler/LocalAI/pull/5466) and [Reranking](https://github.com/mudler/LocalAI/pull/5396) in llama.cpp backend, [Realtime API](https://github.com/mudler/LocalAI/pull/5392),  Support to Gemma, SmollVLM, and more multimodal models (available in the gallery).
@@ -226,12 +232,67 @@ Roadmap items: [List of issues](https://github.com/mudler/LocalAI/issues?q=is%3A
 - ✍️ [Constrained grammars](https://localai.io/features/constrained_grammars/)
 - 🖼️ [Download Models directly from Huggingface ](https://localai.io/models/)
 - 🥽 [Vision API](https://localai.io/features/gpt-vision/)
+- 🔍 [Object Detection](https://localai.io/features/object-detection/)
 - 📈 [Reranker API](https://localai.io/features/reranker/)
 - 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
 - [Agentic capabilities](https://github.com/mudler/LocalAGI)
 - 🔊 Voice activity detection (Silero-VAD support)
 - 🌍 Integrated WebUI!

+## 🧩 Supported Backends & Acceleration
+
+LocalAI supports a comprehensive range of AI backends with multiple acceleration options:
+
+### Text Generation & Language Models
+| Backend | Description | Acceleration Support |
+|---------|-------------|---------------------|
+| **llama.cpp** | LLM inference in C/C++ | CUDA 11/12, ROCm, Intel SYCL, Vulkan, Metal, CPU |
+| **vLLM** | Fast LLM inference with PagedAttention | CUDA 12, ROCm, Intel |
+| **transformers** | HuggingFace transformers framework | CUDA 11/12, ROCm, Intel, CPU |
+| **exllama2** | GPTQ inference library | CUDA 12 |
+| **MLX** | Apple Silicon LLM inference | Metal (M1/M2/M3+) |
+| **MLX-VLM** | Apple Silicon Vision-Language Models | Metal (M1/M2/M3+) |
+
+### Audio & Speech Processing
+| Backend | Description | Acceleration Support |
+|---------|-------------|---------------------|
+| **whisper.cpp** | OpenAI Whisper in C/C++ | CUDA 12, ROCm, Intel SYCL, Vulkan, CPU |
+| **faster-whisper** | Fast Whisper with CTranslate2 | CUDA 12, ROCm, Intel, CPU |
+| **bark** | Text-to-audio generation | CUDA 12, ROCm, Intel |
+| **bark-cpp** | C++ implementation of Bark | CUDA, Metal, CPU |
+| **coqui** | Advanced TTS with 1100+ languages | CUDA 12, ROCm, Intel, CPU |
+| **kokoro** | Lightweight TTS model | CUDA 12, ROCm, Intel, CPU |
+| **chatterbox** | Production-grade TTS | CUDA 11/12, CPU |
+| **piper** | Fast neural TTS system | CPU |
+| **kitten-tts** | Kitten TTS models | CPU |
+| **silero-vad** | Voice Activity Detection | CPU |
+
+### Image & Video Generation
+| Backend | Description | Acceleration Support |
+|---------|-------------|---------------------|
+| **stablediffusion.cpp** | Stable Diffusion in C/C++ | CUDA 12, Intel SYCL, Vulkan, CPU |
+| **diffusers** | HuggingFace diffusion models | CUDA 11/12, ROCm, Intel, Metal, CPU |
+
+### Specialized AI Tasks
+| Backend | Description | Acceleration Support |
+|---------|-------------|---------------------|
+| **rfdetr** | Real-time object detection | CUDA 12, Intel, CPU |
+| **rerankers** | Document reranking API | CUDA 11/12, ROCm, Intel, CPU |
+| **local-store** | Vector database | CPU |
+| **huggingface** | HuggingFace API integration | API-based |
+
+### Hardware Acceleration Matrix
+
+| Acceleration Type | Supported Backends | Hardware Support |
+|-------------------|-------------------|------------------|
+| **NVIDIA CUDA 11** | llama.cpp, whisper, stablediffusion, diffusers, rerankers, bark, chatterbox | Nvidia hardware |
+| **NVIDIA CUDA 12** | All CUDA-compatible backends | Nvidia hardware |
+| **AMD ROCm** | llama.cpp, whisper, vllm, transformers, diffusers, rerankers, coqui, kokoro, bark | AMD Graphics |
+| **Intel oneAPI** | llama.cpp, whisper, stablediffusion, vllm, transformers, diffusers, rfdetr, rerankers, exllama2, coqui, kokoro, bark | Intel Arc, Intel iGPUs |
+| **Apple Metal** | llama.cpp, whisper, diffusers, MLX, MLX-VLM, bark-cpp | Apple M1/M2/M3+ |
+| **Vulkan** | llama.cpp, whisper, stablediffusion | Cross-platform GPUs |
+| **NVIDIA Jetson** | llama.cpp, whisper, stablediffusion, diffusers, rfdetr | ARM64 embedded AI |
+| **CPU Optimized** | All backends | AVX/AVX2/AVX512, quantization support |

 ### 🔗 Community and integrations

@@ -246,6 +307,9 @@ WebUIs:
 Model galleries
 - https://github.com/go-skynet/model-gallery

+Voice:
+- https://github.com/richiejp/VoxInput
+
 Other:
 - Helm chart https://github.com/go-skynet/helm-charts
 - VSCode extension https://github.com/badgooooor/localai-vscode-plugin
--- a/aio/cpu/vision.yaml
+++ b/aio/cpu/vision.yaml
@@ -2,10 +2,10 @@ context_size: 4096
 f16: true
 backend: llama-cpp
 mmap: true
-mmproj: minicpm-v-2_6-mmproj-f16.gguf
+mmproj: minicpm-v-4_5-mmproj-f16.gguf
 name: gpt-4o
 parameters:
-  model: minicpm-v-2_6-Q4_K_M.gguf
+  model: minicpm-v-4_5-Q4_K_M.gguf
 stopwords:
 - <|im_end|>
 - <dummy32000>
@@ -42,9 +42,9 @@ template:
    <|im_start|>assistant

 download_files:
- filename: minicpm-v-2_6-Q4_K_M.gguf
-  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
- filename: minicpm-v-2_6-mmproj-f16.gguf
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
-  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd
+- filename: minicpm-v-4_5-Q4_K_M.gguf
+  sha256: c1c3c33100b15b4caf7319acce4e23c0eb0ce1cbd12f70e8d24f05aa67b7512f
+  uri: huggingface://openbmb/MiniCPM-V-4_5-gguf/ggml-model-Q4_K_M.gguf
+- filename: minicpm-v-4_5-mmproj-f16.gguf
+  uri: huggingface://openbmb/MiniCPM-V-4_5-gguf/mmproj-model-f16.gguf
+  sha256: 7a7225a32e8d453aaa3d22d8c579b5bf833c253f784cdb05c99c9a76fd616df8
--- a/aio/gpu-8g/vision.yaml
+++ b/aio/gpu-8g/vision.yaml
@@ -2,10 +2,10 @@ context_size: 4096
 backend: llama-cpp
 f16: true
 mmap: true
-mmproj: minicpm-v-2_6-mmproj-f16.gguf
+mmproj: minicpm-v-4_5-mmproj-f16.gguf
 name: gpt-4o
 parameters:
-  model: minicpm-v-2_6-Q4_K_M.gguf
+  model: minicpm-v-4_5-Q4_K_M.gguf
 stopwords:
 - <|im_end|>
 - <dummy32000>
@@ -42,9 +42,9 @@ template:
    <|im_start|>assistant

 download_files:
- filename: minicpm-v-2_6-Q4_K_M.gguf
-  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
- filename: minicpm-v-2_6-mmproj-f16.gguf
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
-  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd
+- filename: minicpm-v-4_5-Q4_K_M.gguf
+  sha256: c1c3c33100b15b4caf7319acce4e23c0eb0ce1cbd12f70e8d24f05aa67b7512f
+  uri: huggingface://openbmb/MiniCPM-V-4_5-gguf/ggml-model-Q4_K_M.gguf
+- filename: minicpm-v-4_5-mmproj-f16.gguf
+  uri: huggingface://openbmb/MiniCPM-V-4_5-gguf/mmproj-model-f16.gguf
+  sha256: 7a7225a32e8d453aaa3d22d8c579b5bf833c253f784cdb05c99c9a76fd616df8
--- a/aio/intel/vision.yaml
+++ b/aio/intel/vision.yaml
@@ -2,10 +2,10 @@ context_size: 4096
 backend: llama-cpp
 f16: true
 mmap: true
-mmproj: minicpm-v-2_6-mmproj-f16.gguf
+mmproj: minicpm-v-4_5-mmproj-f16.gguf
 name: gpt-4o
 parameters:
-  model: minicpm-v-2_6-Q4_K_M.gguf
+  model: minicpm-v-4_5-Q4_K_M.gguf
 stopwords:
 - <|im_end|>
 - <dummy32000>
@@ -43,9 +43,9 @@ template:


 download_files:
- filename: minicpm-v-2_6-Q4_K_M.gguf
-  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
- filename: minicpm-v-2_6-mmproj-f16.gguf
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
-  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd
+- filename: minicpm-v-4_5-Q4_K_M.gguf
+  sha256: c1c3c33100b15b4caf7319acce4e23c0eb0ce1cbd12f70e8d24f05aa67b7512f
+  uri: huggingface://openbmb/MiniCPM-V-4_5-gguf/ggml-model-Q4_K_M.gguf
+- filename: minicpm-v-4_5-mmproj-f16.gguf
+  uri: huggingface://openbmb/MiniCPM-V-4_5-gguf/mmproj-model-f16.gguf
+  sha256: 7a7225a32e8d453aaa3d22d8c579b5bf833c253f784cdb05c99c9a76fd616df8
--- a/backend/Dockerfile.golang
+++ b/backend/Dockerfile.golang
@@ -96,17 +96,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
        ldconfig \
    ; fi

-# Intel oneAPI requirements
-RUN <<EOT bash
-    if [[ "${BUILD_TYPE}" == sycl* ]] && [ "${SKIP_DRIVERS}" = "false" ]; then
-        apt-get update && \
-        apt-get install -y --no-install-recommends \
-            intel-oneapi-runtime-libs && \
-        apt-get clean && \
-        rm -rf /var/lib/apt/lists/*
-    fi
-EOT
-
 # Install Go
 RUN curl -L -s https://go.dev/dl/go${GO_VERSION}.linux-${TARGETARCH}.tar.gz | tar -C /usr/local -xz
 ENV PATH=$PATH:/root/go/bin:/usr/local/go/bin:/usr/local/bin
--- a/backend/Dockerfile.python
+++ b/backend/Dockerfile.python
@@ -23,7 +23,7 @@ RUN apt-get update && \
        libssl-dev \
        git \
        git-lfs \
-        unzip \
+        unzip clang \
        upx-ucl \
        curl python3-pip \
        python-is-python3 \
@@ -116,7 +116,7 @@ COPY python/${BACKEND} /${BACKEND}
 COPY backend.proto /${BACKEND}/backend.proto
 COPY python/common/ /${BACKEND}/common

-RUN cd /${BACKEND} && make
+RUN cd /${BACKEND} && PORTABLE_PYTHON=true make

 FROM scratch
 ARG BACKEND=rerankers
--- a/backend/README.md
+++ b/backend/README.md
@@ -0,0 +1,213 @@
+# LocalAI Backend Architecture
+
+This directory contains the core backend infrastructure for LocalAI, including the gRPC protocol definition, multi-language Dockerfiles, and language-specific backend implementations.
+
+## Overview
+
+LocalAI uses a unified gRPC-based architecture that allows different programming languages to implement AI backends while maintaining consistent interfaces and capabilities. The backend system supports multiple hardware acceleration targets and provides a standardized way to integrate various AI models and frameworks.
+
+## Architecture Components
+
+### 1. Protocol Definition (`backend.proto`)
+
+The `backend.proto` file defines the gRPC service interface that all backends must implement. This ensures consistency across different language implementations and provides a contract for communication between LocalAI core and backend services.
+
+#### Core Services
+
+- **Text Generation**: `Predict`, `PredictStream` for LLM inference
+- **Embeddings**: `Embedding` for text vectorization
+- **Image Generation**: `GenerateImage` for stable diffusion and image models
+- **Audio Processing**: `AudioTranscription`, `TTS`, `SoundGeneration`
+- **Video Generation**: `GenerateVideo` for video synthesis
+- **Object Detection**: `Detect` for computer vision tasks
+- **Vector Storage**: `StoresSet`, `StoresGet`, `StoresFind` for RAG operations
+- **Reranking**: `Rerank` for document relevance scoring
+- **Voice Activity Detection**: `VAD` for audio segmentation
+
+#### Key Message Types
+
+- **`PredictOptions`**: Comprehensive configuration for text generation
+- **`ModelOptions`**: Model loading and configuration parameters
+- **`Result`**: Standardized response format
+- **`StatusResponse`**: Backend health and memory usage information
+
+### 2. Multi-Language Dockerfiles
+
+The backend system provides language-specific Dockerfiles that handle the build environment and dependencies for different programming languages:
+
+- `Dockerfile.python`
+- `Dockerfile.golang`
+- `Dockerfile.llama-cpp`
+
+### 3. Language-Specific Implementations
+
+#### Python Backends (`python/`)
+- **transformers**: Hugging Face Transformers framework
+- **vllm**: High-performance LLM inference
+- **mlx**: Apple Silicon optimization
+- **diffusers**: Stable Diffusion models
+- **Audio**: bark, coqui, faster-whisper, kitten-tts
+- **Vision**: mlx-vlm, rfdetr
+- **Specialized**: rerankers, chatterbox, kokoro
+
+#### Go Backends (`go/`)
+- **whisper**: OpenAI Whisper speech recognition in Go with GGML cpp backend (whisper.cpp)
+- **stablediffusion-ggml**: Stable Diffusion in Go with GGML Cpp backend
+- **huggingface**: Hugging Face model integration
+- **piper**: Text-to-speech synthesis Golang with C bindings using rhaspy/piper
+- **bark-cpp**: Bark TTS models Golang with Cpp bindings
+- **local-store**: Vector storage backend
+
+#### C++ Backends (`cpp/`)
+- **llama-cpp**: Llama.cpp integration
+- **grpc**: GRPC utilities and helpers
+
+## Hardware Acceleration Support
+
+### CUDA (NVIDIA)
+- **Versions**: CUDA 11.x, 12.x
+- **Features**: cuBLAS, cuDNN, TensorRT optimization
+- **Targets**: x86_64, ARM64 (Jetson)
+
+### ROCm (AMD)
+- **Features**: HIP, rocBLAS, MIOpen
+- **Targets**: AMD GPUs with ROCm support
+
+### Intel
+- **Features**: oneAPI, Intel Extension for PyTorch
+- **Targets**: Intel GPUs, XPUs, CPUs
+
+### Vulkan
+- **Features**: Cross-platform GPU acceleration
+- **Targets**: Windows, Linux, Android, macOS
+
+### Apple Silicon
+- **Features**: MLX framework, Metal Performance Shaders
+- **Targets**: M1/M2/M3 Macs
+
+## Backend Registry (`index.yaml`)
+
+The `index.yaml` file serves as a central registry for all available backends, providing:
+
+- **Metadata**: Name, description, license, icons
+- **Capabilities**: Hardware targets and optimization profiles
+- **Tags**: Categorization for discovery
+- **URLs**: Source code and documentation links
+
+## Building Backends
+
+### Prerequisites
+- Docker with multi-architecture support
+- Appropriate hardware drivers (CUDA, ROCm, etc.)
+- Build tools (make, cmake, compilers)
+
+### Build Commands
+
+Example of build commands with Docker
+
+```bash
+# Build Python backend
+docker build -f backend/Dockerfile.python \
+  --build-arg BACKEND=transformers \
+  --build-arg BUILD_TYPE=cublas12 \
+  --build-arg CUDA_MAJOR_VERSION=12 \
+  --build-arg CUDA_MINOR_VERSION=8 \
+  -t localai-backend-transformers .
+
+# Build Go backend
+docker build -f backend/Dockerfile.golang \
+  --build-arg BACKEND=whisper \
+  --build-arg BUILD_TYPE=cpu \
+  -t localai-backend-whisper .
+
+# Build C++ backend
+docker build -f backend/Dockerfile.llama-cpp \
+  --build-arg BACKEND=llama-cpp \
+  --build-arg BUILD_TYPE=cublas12 \
+  -t localai-backend-llama-cpp .
+```
+
+For ARM64/Mac builds, docker can't be used, and the makefile in the respective backend has to be used.
+
+### Build Types
+
+- **`cpu`**: CPU-only optimization
+- **`cublas11`**: CUDA 11.x with cuBLAS
+- **`cublas12`**: CUDA 12.x with cuBLAS
+- **`hipblas`**: ROCm with rocBLAS
+- **`intel`**: Intel oneAPI optimization
+- **`vulkan`**: Vulkan-based acceleration
+- **`metal`**: Apple Metal optimization
+
+## Backend Development
+
+### Creating a New Backend
+
+1. **Choose Language**: Select Python, Go, or C++ based on requirements
+2. **Implement Interface**: Implement the gRPC service defined in `backend.proto`
+3. **Add Dependencies**: Create appropriate requirements files
+4. **Configure Build**: Set up Dockerfile and build scripts
+5. **Register Backend**: Add entry to `index.yaml`
+6. **Test Integration**: Verify gRPC communication and functionality
+
+### Backend Structure
+
+```
+backend-name/
+├── backend.py/go/cpp    # Main implementation
+├── requirements.txt      # Dependencies
+├── Dockerfile           # Build configuration
+├── install.sh           # Installation script
+├── run.sh              # Execution script
+├── test.sh             # Test script
+└── README.md           # Backend documentation
+```
+
+### Required gRPC Methods
+
+At minimum, backends must implement:
+- `Health()` - Service health check
+- `LoadModel()` - Model loading and initialization
+- `Predict()` - Main inference endpoint
+- `Status()` - Backend status and metrics
+
+## Integration with LocalAI Core
+
+Backends communicate with LocalAI core through gRPC:
+
+1. **Service Discovery**: Core discovers available backends
+2. **Model Loading**: Core requests model loading via `LoadModel`
+3. **Inference**: Core sends requests via `Predict` or specialized endpoints
+4. **Streaming**: Core handles streaming responses for real-time generation
+5. **Monitoring**: Core tracks backend health and performance
+
+## Performance Optimization
+
+### Memory Management
+- **Model Caching**: Efficient model loading and caching
+- **Batch Processing**: Optimize for multiple concurrent requests
+- **Memory Pinning**: GPU memory optimization for CUDA/ROCm
+
+### Hardware Utilization
+- **Multi-GPU**: Support for tensor parallelism
+- **Mixed Precision**: FP16/BF16 for memory efficiency
+- **Kernel Fusion**: Optimized CUDA/ROCm kernels
+
+## Troubleshooting
+
+### Common Issues
+
+1. **GRPC Connection**: Verify backend service is running and accessible
+2. **Model Loading**: Check model paths and dependencies
+3. **Hardware Detection**: Ensure appropriate drivers and libraries
+4. **Memory Issues**: Monitor GPU memory usage and model sizes
+
+## Contributing
+
+When contributing to the backend system:
+
+1. **Follow Protocol**: Implement the exact gRPC interface
+2. **Add Tests**: Include comprehensive test coverage
+3. **Document**: Provide clear usage examples
+4. **Optimize**: Consider performance and resource usage
+5. **Validate**: Test across different hardware targets
--- a/backend/backend.proto
+++ b/backend/backend.proto
@@ -20,6 +20,7 @@ service Backend {
  rpc SoundGeneration(SoundGenerationRequest) returns (Result) {}
  rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
  rpc Status(HealthMessage) returns (StatusResponse) {}
+  rpc Detect(DetectOptions) returns (DetectResponse) {}

  rpc StoresSet(StoresSetOptions) returns (Result) {}
  rpc StoresDelete(StoresDeleteOptions) returns (Result) {}
@@ -241,7 +242,7 @@ message ModelOptions {

  string Type = 49;

-  bool FlashAttention = 56;
+  string FlashAttention = 56;
  bool NoKVOffload = 57;

  string ModelPath = 59;
@@ -275,6 +276,7 @@ message TranscriptRequest {
  string language = 3;
  uint32 threads = 4;
  bool translate = 5;
+  bool diarize = 6;
 }

 message TranscriptResult {
@@ -304,19 +306,24 @@ message GenerateImageRequest {
  // Diffusers
  string EnableParameters = 10;
  int32 CLIPSkip = 11;
+
+  // Reference images for models that support them (e.g., Flux Kontext)
+  repeated string ref_images = 12;
 }

 message GenerateVideoRequest {
  string prompt = 1;
-  string start_image = 2;  // Path or base64 encoded image for the start frame
-  string end_image = 3;    // Path or base64 encoded image for the end frame
-  int32 width = 4;
-  int32 height = 5;
-  int32 num_frames = 6;    // Number of frames to generate
-  int32 fps = 7;          // Frames per second
-  int32 seed = 8;
-  float cfg_scale = 9;    // Classifier-free guidance scale
-  string dst = 10;        // Output path for the generated video
+  string negative_prompt = 2;  // Negative prompt for video generation
+  string start_image = 3;  // Path or base64 encoded image for the start frame
+  string end_image = 4;    // Path or base64 encoded image for the end frame
+  int32 width = 5;
+  int32 height = 6;
+  int32 num_frames = 7;    // Number of frames to generate
+  int32 fps = 8;          // Frames per second
+  int32 seed = 9;
+  float cfg_scale = 10;    // Classifier-free guidance scale
+  int32 step = 11;         // Number of inference steps
+  string dst = 12;        // Output path for the generated video
 }

 message TTSRequest {
@@ -376,3 +383,20 @@ message Message {
  string role = 1;
  string content = 2;
 }
+
+message DetectOptions {
+  string src = 1;
+}
+
+message Detection {
+  float x = 1;
+  float y = 2;
+  float width = 3;
+  float height = 4;
+  float confidence = 5;
+  string class_name = 6;
+}
+
+message DetectResponse {
+  repeated Detection Detections = 1;
+}
--- a/backend/cpp/llama-cpp/Makefile
+++ b/backend/cpp/llama-cpp/Makefile
@@ -1,5 +1,5 @@

-LLAMA_VERSION?=3f4fc97f1d745f1d5d3c853949503136d419e6de
+LLAMA_VERSION?=8ff206097c2bf3ca1c7aa95f9d6db779fc7bdd68
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp

 CMAKE_ARGS?=
@@ -26,16 +26,14 @@ else ifeq ($(BUILD_TYPE),openblas)
 # If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
-# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++ 
+# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
 else ifeq ($(BUILD_TYPE),hipblas)
 	ROCM_HOME ?= /opt/rocm
 	ROCM_PATH ?= /opt/rocm
 	export CXX=$(ROCM_HOME)/llvm/bin/clang++
 	export CC=$(ROCM_HOME)/llvm/bin/clang
-#	GPU_TARGETS ?= gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102
-#	AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
-	CMAKE_ARGS+=-DGGML_HIP=ON
-#	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
+	AMDGPU_TARGETS?=gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=1
 else ifeq ($(OS),Darwin)
--- a/backend/cpp/llama-cpp/grpc-server.cpp
+++ b/backend/cpp/llama-cpp/grpc-server.cpp
@@ -53,9 +53,9 @@ static void start_llama_server(server_context& ctx_server) {
    LOG_INF("%s: model loaded\n", __func__);

    // print sample chat example to make it clear which template is used
-    LOG_INF("%s: chat template, chat_template: %s, example_format: '%s'\n", __func__,
-        common_chat_templates_source(ctx_server.chat_templates.get()),
-        common_chat_format_example(ctx_server.chat_templates.get(), ctx_server.params_base.use_jinja).c_str());
+    // LOG_INF("%s: chat template, chat_template: %s, example_format: '%s'\n", __func__,
+    //     common_chat_templates_source(ctx_server.chat_templates.get()),
+    //     common_chat_format_example(ctx_server.chat_templates.get(), ctx_server.params_base.use_jinja).c_str(), ctx_server.params_base.default_template_kwargs);

    // Reset the chat templates
    // TODO: We should make this configurable by respecting the option that is already present in LocalAI for vLLM
@@ -304,7 +304,15 @@ static void params_parse(const backend::ModelOptions* request,
    }
    params.use_mlock = request->mlock();
    params.use_mmap = request->mmap();
-    params.flash_attn = request->flashattention();
+
+    if (request->flashattention() == "on" || request->flashattention() == "enabled") {
+        params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_ENABLED;
+    } else if (request->flashattention() == "off" || request->flashattention() == "disabled") {
+        params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_DISABLED;
+    } else if (request->flashattention() == "auto") {
+        params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_AUTO;
+    }
+
    params.no_kv_offload = request->nokvoffload();
    params.ctx_shift = false; // We control context-shifting in any case (and we disable it as it could just lead to infinite loops)

@@ -313,9 +321,11 @@ static void params_parse(const backend::ModelOptions* request,
        params.pooling_type = LLAMA_POOLING_TYPE_RANK;
    }

+    
    if (request->ropescaling() == "none")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_NONE; }
    else if (request->ropescaling() == "yarn")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_YARN; }
-    else { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_LINEAR; }
+    else if (request->ropescaling() == "linear")   {  params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_LINEAR; }
+
    if ( request->yarnextfactor() != 0.0f ) {
        params.yarn_ext_factor = request->yarnextfactor();
    }
@@ -435,24 +445,7 @@ public:
                }
            }

-            // process files
-            mtmd::bitmaps bitmaps;
            const bool has_mtmd = ctx_server.mctx != nullptr;
-            {
-                if (!has_mtmd && !files.empty()) {
-                    throw std::runtime_error("This server does not support multimodal");
-                }
-                for (auto & file : files) {
-                    mtmd::bitmap bmp(mtmd_helper_bitmap_init_from_buf(ctx_server.mctx, file.data(), file.size()));
-                    if (!bmp.ptr) {
-                        throw std::runtime_error("Failed to load image/audio");
-                    }
-                    // calculate bitmap hash (for KV caching)
-                    std::string hash = fnv_hash(bmp.data(), bmp.n_bytes());
-                    bmp.set_id(hash.c_str());
-                    bitmaps.entries.push_back(std::move(bmp));
-                }
-            }

            // process prompt
            std::vector<server_tokens> inputs;
@@ -462,32 +455,10 @@ public:

            if (has_mtmd) {
                // multimodal
-                std::string prompt_str = prompt.get<std::string>();
-                mtmd_input_text inp_txt = {
-                    prompt_str.c_str(),
-                    /* add_special */   true,
-                    /* parse_special */ true,
-                };
-                mtmd::input_chunks chunks(mtmd_input_chunks_init());
-                auto bitmaps_c_ptr = bitmaps.c_ptr();
-                int32_t tokenized = mtmd_tokenize(ctx_server.mctx,
-                                                    chunks.ptr.get(),
-                                                    &inp_txt,
-                                                    bitmaps_c_ptr.data(),
-                                                    bitmaps_c_ptr.size());
-                if (tokenized != 0) {
-                    throw std::runtime_error("Failed to tokenize prompt");
-                }
-
-                server_tokens tmp(chunks, true);
-                inputs.push_back(std::move(tmp));
+                inputs.push_back(process_mtmd_prompt(ctx_server.mctx, prompt.get<std::string>(), files));
            } else {
-                // non-multimodal version
-                auto tokenized_prompts = tokenize_input_prompts(ctx_server.vocab, prompt, true, true);
-                for (auto & p : tokenized_prompts) {
-                    auto tmp = server_tokens(p, ctx_server.mctx != nullptr);
-                    inputs.push_back(std::move(tmp));
-                }
+                 // Everything else, including multimodal completions.
+                inputs = tokenize_input_prompts(ctx_server.vocab, ctx_server.mctx, prompt, true, true);
            }

            tasks.reserve(inputs.size());
@@ -628,23 +599,7 @@ public:
            }

            // process files
-            mtmd::bitmaps bitmaps;
            const bool has_mtmd = ctx_server.mctx != nullptr;
-            {
-                if (!has_mtmd && !files.empty()) {
-                    throw std::runtime_error("This server does not support multimodal");
-                }
-                for (auto & file : files) {
-                    mtmd::bitmap bmp(mtmd_helper_bitmap_init_from_buf(ctx_server.mctx, file.data(), file.size()));
-                    if (!bmp.ptr) {
-                        throw std::runtime_error("Failed to load image/audio");
-                    }
-                    // calculate bitmap hash (for KV caching)
-                    std::string hash = fnv_hash(bmp.data(), bmp.n_bytes());
-                    bmp.set_id(hash.c_str());
-                    bitmaps.entries.push_back(std::move(bmp));
-                }
-            }

            // process prompt
            std::vector<server_tokens> inputs;
@@ -655,33 +610,10 @@ public:

            if (has_mtmd) {
                // multimodal
-                std::string prompt_str = prompt.get<std::string>();
-                mtmd_input_text inp_txt = {
-                    prompt_str.c_str(),
-                    /* add_special */   true,
-                    /* parse_special */ true,
-                };
-                mtmd::input_chunks chunks(mtmd_input_chunks_init());
-                auto bitmaps_c_ptr = bitmaps.c_ptr();
-                int32_t tokenized = mtmd_tokenize(ctx_server.mctx,
-                                                    chunks.ptr.get(),
-                                                    &inp_txt,
-                                                    bitmaps_c_ptr.data(),
-                                                    bitmaps_c_ptr.size());
-                if (tokenized != 0) {
-                    std::cout << "[PREDICT] Failed to tokenize prompt" << std::endl;
-                    throw std::runtime_error("Failed to tokenize prompt");
-                }
-
-                server_tokens tmp(chunks, true);
-                inputs.push_back(std::move(tmp));
+                inputs.push_back(process_mtmd_prompt(ctx_server.mctx, prompt.get<std::string>(), files));
            } else {
-                // non-multimodal version
-                auto tokenized_prompts = tokenize_input_prompts(ctx_server.vocab, prompt, true, true);
-                for (auto & p : tokenized_prompts) {
-                    auto tmp = server_tokens(p, ctx_server.mctx != nullptr);
-                    inputs.push_back(std::move(tmp));
-                }
+                 // Everything else, including multimodal completions.
+                inputs = tokenize_input_prompts(ctx_server.vocab, ctx_server.mctx, prompt, true, true);
            }

            tasks.reserve(inputs.size());
@@ -769,10 +701,10 @@ public:
        */

        // for the shape of input/content, see tokenize_input_prompts()
-        json prompt = body.at("prompt");
+        json prompt = body.at("embeddings");


-        auto tokenized_prompts = tokenize_input_prompts(ctx_server.vocab, prompt, true, true);
+        auto tokenized_prompts = tokenize_input_prompts(ctx_server.vocab, ctx_server.mctx, prompt, true, true);
        for (const auto & tokens : tokenized_prompts) {
            // this check is necessary for models that do not add BOS token to the input
            if (tokens.empty()) {
@@ -780,6 +712,7 @@ public:
            }
        }

+        int embd_normalize = 2; // default to Euclidean/L2 norm
        // create and queue the task
        json responses = json::array();
        bool error = false;
@@ -791,11 +724,10 @@ public:

                task.id            = ctx_server.queue_tasks.get_new_id();
                task.index         = i;
-                task.prompt_tokens = server_tokens(tokenized_prompts[i], ctx_server.mctx != nullptr);
-
-                // OAI-compat
-                task.params.oaicompat = OAICOMPAT_TYPE_EMBEDDING;
+                task.prompt_tokens = std::move(tokenized_prompts[i]);

+                task.params.oaicompat = OAICOMPAT_TYPE_NONE;
+                task.params.embd_normalize = embd_normalize;
                tasks.push_back(std::move(task));
            }

@@ -811,9 +743,8 @@ public:
                responses.push_back(res->to_json());
            }
        }, [&](const json & error_data) {
-            return grpc::Status(grpc::StatusCode::INVALID_ARGUMENT, error_data.value("content", ""));
+            error = true;
        }, [&]() {
-            // NOTE: we should try to check when the writer is closed here
            return false;
        });

@@ -823,12 +754,36 @@ public:
            return grpc::Status(grpc::StatusCode::INTERNAL, "Error in receiving results");
        }

-        std::vector<float> embeddings = responses[0].value("embedding", std::vector<float>());
-        // loop the vector and set the embeddings results
-        for (int i = 0; i < embeddings.size(); i++) {
-            embeddingResult->add_embeddings(embeddings[i]);
+        std::cout << "[DEBUG] Responses size: " << responses.size() << std::endl;
+        
+        // Process the responses and extract embeddings
+        for (const auto & response_elem : responses) {
+            // Check if the response has an "embedding" field
+            if (response_elem.contains("embedding")) {
+                json embedding_data = json_value(response_elem, "embedding", json::array());
+                
+                if (embedding_data.is_array() && !embedding_data.empty()) {
+                    for (const auto & embedding_vector : embedding_data) {
+                        if (embedding_vector.is_array()) {
+                            for (const auto & embedding_value : embedding_vector) {
+                                embeddingResult->add_embeddings(embedding_value.get<float>());
+                            }
+                        }
+                    }
+                }
+            } else {
+                // Check if the response itself contains the embedding data directly
+                if (response_elem.is_array()) {
+                    for (const auto & embedding_value : response_elem) {
+                        embeddingResult->add_embeddings(embedding_value.get<float>());
+                    }
+                }
+            }
        }

+
+    
+
        return grpc::Status::OK;
    }

@@ -847,8 +802,10 @@ public:
        }

        // Tokenize the query
-        llama_tokens tokenized_query = tokenize_input_prompts(ctx_server.vocab, request->query(), /* add_special */ false, true)[0];
-
+        auto tokenized_query = tokenize_input_prompts(ctx_server.vocab, ctx_server.mctx, request->query(), /* add_special */ false, true);
+        if (tokenized_query.size() != 1) {
+            return grpc::Status(grpc::StatusCode::INVALID_ARGUMENT, "\"query\" must contain only a single prompt");
+        }
        // Create and queue the task
        json responses = json::array();
        bool error = false;
@@ -860,14 +817,14 @@ public:
                documents.push_back(request->documents(i));
            }
            
-            auto tokenized_docs = tokenize_input_prompts(ctx_server.vocab, documents, /* add_special */ false, true);
+            auto tokenized_docs = tokenize_input_prompts(ctx_server.vocab, ctx_server.mctx, documents, /* add_special */ false, true);
            tasks.reserve(tokenized_docs.size());
            for (size_t i = 0; i < tokenized_docs.size(); i++) {
-                auto tmp = format_rerank(ctx_server.vocab, tokenized_query, tokenized_docs[i]);
+                auto tmp = format_rerank(ctx_server.vocab, tokenized_query[0], tokenized_docs[i]);
                server_task task = server_task(SERVER_TASK_TYPE_RERANK);
                task.id = ctx_server.queue_tasks.get_new_id();
                task.index = i;
-                task.prompt_tokens = server_tokens(tmp, ctx_server.mctx != nullptr);
+                task.prompt_tokens = std::move(tmp);
                tasks.push_back(std::move(task));
            }

--- a/backend/cpp/llama-cpp/run.sh
+++ b/backend/cpp/llama-cpp/run.sh
@@ -42,7 +42,8 @@ fi
 
 # Extend ld library path with the dir where this script is located/lib
 if [ "$(uname)" == "Darwin" ]; then
-	DYLD_FALLBACK_LIBRARY_PATH=$CURDIR/lib:$DYLD_FALLBACK_LIBRARY_PATH
+	export DYLD_LIBRARY_PATH=$CURDIR/lib:$DYLD_LIBRARY_PATH
+	#export DYLD_FALLBACK_LIBRARY_PATH=$CURDIR/lib:$DYLD_FALLBACK_LIBRARY_PATH
 else
 	export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
 fi
@@ -57,5 +58,5 @@ fi
 echo "Using binary: $BINARY"
 exec $CURDIR/$BINARY "$@"

-# In case we fail execing, just run fallback
+# We should never reach this point, however just in case we do, run fallback
 exec $CURDIR/llama-cpp-fallback "$@"
--- a/backend/go/stablediffusion-ggml/.gitignore
+++ b/backend/go/stablediffusion-ggml/.gitignore
@@ -0,0 +1,6 @@
+package/
+sources/
+.cache/
+build/
+libgosd.so
+stablediffusion-ggml
--- a/backend/go/stablediffusion-ggml/CMakeLists.txt
+++ b/backend/go/stablediffusion-ggml/CMakeLists.txt
@@ -0,0 +1,20 @@
+cmake_minimum_required(VERSION 3.12)
+project(gosd LANGUAGES C CXX)
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+
+add_subdirectory(./sources/stablediffusion-ggml.cpp)
+
+add_library(gosd MODULE gosd.cpp)
+target_link_libraries(gosd PRIVATE stable-diffusion ggml)
+
+if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
+    target_link_libraries(gosd PRIVATE stdc++fs)
+endif()
+
+target_include_directories(gosd PUBLIC
+    stable-diffusion.cpp
+    stable-diffusion.cpp/thirdparty
+)
+
+set_property(TARGET gosd PROPERTY CXX_STANDARD 17)
+set_target_properties(gosd PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})
--- a/backend/go/stablediffusion-ggml/Makefile
+++ b/backend/go/stablediffusion-ggml/Makefile
@@ -1,28 +1,16 @@
-INCLUDE_PATH := $(abspath ./)
-LIBRARY_PATH := $(abspath ./)
-
-AR?=ar
 CMAKE_ARGS?=
 BUILD_TYPE?=
 NATIVE?=false
-CUDA_LIBPATH?=/usr/local/cuda/lib64/
-ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
-# keep standard at C11 and C++11
-CXXFLAGS = -I. -I$(INCLUDE_PATH)/sources/stablediffusion-ggml.cpp/thirdparty -I$(INCLUDE_PATH)/sources/stablediffusion-ggml.cpp/ggml/include -I$(INCLUDE_PATH)/sources/stablediffusion-ggml.cpp -O3 -DNDEBUG -std=c++17 -fPIC

 GOCMD?=go
-CGO_LDFLAGS?=
-# Avoid parent make file overwriting CGO_LDFLAGS which is needed for hipblas
-CGO_LDFLAGS_SYCL=
 GO_TAGS?=
-LD_FLAGS?=
+JOBS?=$(shell nproc --ignore=1)

 # stablediffusion.cpp (ggml)
 STABLEDIFFUSION_GGML_REPO?=https://github.com/leejet/stable-diffusion.cpp
-STABLEDIFFUSION_GGML_VERSION?=eed97a5e1d054f9c1e7ac01982ae480411d4157e
+STABLEDIFFUSION_GGML_VERSION?=0ebe6fe118f125665939b27c89f34ed38716bff8

-# Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
-CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
+CMAKE_ARGS+=-DGGML_MAX_NAME=128

 ifeq ($(NATIVE),false)
 	CMAKE_ARGS+=-DGGML_NATIVE=OFF
@@ -31,7 +19,6 @@ endif
 # If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
 ifeq ($(BUILD_TYPE),cublas)
 	CMAKE_ARGS+=-DSD_CUDA=ON -DGGML_CUDA=ON
-	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH) -L$(CUDA_LIBPATH)/stubs/ -lcuda
 # If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
 # to CMAKE_ARGS automatically
 else ifeq ($(BUILD_TYPE),openblas)
@@ -42,18 +29,14 @@ else ifeq ($(BUILD_TYPE),clblas)
 # If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
 else ifeq ($(BUILD_TYPE),hipblas)
 	CMAKE_ARGS+=-DSD_HIPBLAS=ON -DGGML_HIPBLAS=ON
-# If it's OSX, DO NOT embed the metal library - -DGGML_METAL_EMBED_LIBRARY=ON requires further investigation
-# But if it's OSX without metal, disable it here
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DSD_VULKAN=ON -DGGML_VULKAN=ON
-	CGO_LDFLAGS+=-lvulkan
 else ifeq ($(OS),Darwin)
 	ifneq ($(BUILD_TYPE),metal)
 		CMAKE_ARGS+=-DSD_METAL=OFF -DGGML_METAL=OFF
 	else
 		CMAKE_ARGS+=-DSD_METAL=ON -DGGML_METAL=ON
 		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
-		TARGET+=--target ggml-metal
 	endif
 endif

@@ -63,12 +46,6 @@ ifeq ($(BUILD_TYPE),sycl_f16)
 		-DCMAKE_CXX_COMPILER=icpx \
 		-DSD_SYCL=ON \
 		-DGGML_SYCL_F16=ON
-	export CC=icx
-	export CXX=icpx
-	CGO_LDFLAGS_SYCL += -fsycl -L${DNNLROOT}/lib -ldnnl ${MKLROOT}/lib/intel64/libmkl_sycl.a -fiopenmp -fopenmp-targets=spir64 -lOpenCL
-	CGO_LDFLAGS_SYCL += $(shell pkg-config --libs mkl-static-lp64-gomp)
-	CGO_CXXFLAGS += -fiopenmp -fopenmp-targets=spir64
-	CGO_CXXFLAGS += $(shell pkg-config --cflags mkl-static-lp64-gomp )
 endif

 ifeq ($(BUILD_TYPE),sycl_f32)
@@ -76,78 +53,29 @@ ifeq ($(BUILD_TYPE),sycl_f32)
 		-DCMAKE_C_COMPILER=icx \
 		-DCMAKE_CXX_COMPILER=icpx \
 		-DSD_SYCL=ON
-	export CC=icx
-	export CXX=icpx
-	CGO_LDFLAGS_SYCL += -fsycl -L${DNNLROOT}/lib -ldnnl ${MKLROOT}/lib/intel64/libmkl_sycl.a -fiopenmp -fopenmp-targets=spir64 -lOpenCL
-	CGO_LDFLAGS_SYCL += $(shell pkg-config --libs mkl-static-lp64-gomp)
-	CGO_CXXFLAGS += -fiopenmp -fopenmp-targets=spir64
-	CGO_CXXFLAGS += $(shell pkg-config --cflags mkl-static-lp64-gomp )
 endif

-# warnings
-# CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function
-
-# Find all .a archives in ARCHIVE_DIR
-# (ggml can have different backends cpu, cuda, etc., each backend generates a .a archive)
-GGML_ARCHIVE_DIR := build/ggml/src/
-ALL_ARCHIVES := $(shell find $(GGML_ARCHIVE_DIR) -type f -name '*.a')
-ALL_OBJS := $(shell find $(GGML_ARCHIVE_DIR) -type f -name '*.o')
-
-# Name of the single merged library
-COMBINED_LIB := libggmlall.a
-
-# Instead of using the archives generated by GGML, use the object files directly to avoid overwriting objects with the same base name
-$(COMBINED_LIB): $(ALL_ARCHIVES)
-	@echo "Merging all .o into $(COMBINED_LIB): $(ALL_OBJS)"
-	rm -f $@
-	ar -qc $@ $(ALL_OBJS)
-	# Ensure we have a proper index
-	ranlib $@
-
-build/libstable-diffusion.a:
-	@echo "Building SD with $(BUILD_TYPE) build type and $(CMAKE_ARGS)"
-ifneq (,$(findstring sycl,$(BUILD_TYPE)))
-	+bash -c "source $(ONEAPI_VARS); \
-	mkdir -p build && \
-	cd build && \
-	cmake $(CMAKE_ARGS) ../sources/stablediffusion-ggml.cpp && \
-	cmake --build . --config Release"
-else
-	mkdir -p build && \
-	cd build && \
-	cmake $(CMAKE_ARGS) ../sources/stablediffusion-ggml.cpp && \
-	cmake --build . --config Release
-endif
-	$(MAKE) $(COMBINED_LIB)
-
-gosd.o:
-ifneq (,$(findstring sycl,$(BUILD_TYPE)))
-	+bash -c "source $(ONEAPI_VARS); \
-	$(CXX) $(CXXFLAGS) gosd.cpp -o gosd.o -c"
-else
-	$(CXX) $(CXXFLAGS) gosd.cpp -o gosd.o -c
-endif
-
-## stablediffusion (ggml)
 sources/stablediffusion-ggml.cpp:
 	git clone --recursive $(STABLEDIFFUSION_GGML_REPO) sources/stablediffusion-ggml.cpp && \
 	cd sources/stablediffusion-ggml.cpp && \
 	git checkout $(STABLEDIFFUSION_GGML_VERSION) && \
 	git submodule update --init --recursive --depth 1 --single-branch

-libsd.a: sources/stablediffusion-ggml.cpp build/libstable-diffusion.a gosd.o
-	cp $(INCLUDE_PATH)/build/libstable-diffusion.a ./libsd.a
-	$(AR) rcs libsd.a gosd.o
+libgosd.so: sources/stablediffusion-ggml.cpp CMakeLists.txt gosd.cpp gosd.h
+	mkdir -p build && \
+	cd build && \
+	cmake .. $(CMAKE_ARGS) && \
+	cmake --build . --config Release -j$(JOBS) && \
+	cd .. && \
+	mv build/libgosd.so ./

-stablediffusion-ggml: libsd.a
-	CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_SYCL)" C_INCLUDE_PATH="$(INCLUDE_PATH)" LIBRARY_PATH="$(LIBRARY_PATH)" \
-	CC="$(CC)" CXX="$(CXX)" CGO_CXXFLAGS="$(CGO_CXXFLAGS)" \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o stablediffusion-ggml ./
+stablediffusion-ggml: main.go gosd.go libgosd.so
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o stablediffusion-ggml ./

-package:
+package: stablediffusion-ggml
 	bash package.sh

-build: stablediffusion-ggml package
+build: package

 clean:
-	rm -rf gosd.o libsd.a build $(COMBINED_LIB)
+	rm -rf libgosd.so build stablediffusion-ggml package sources
--- a/backend/go/stablediffusion-ggml/gosd.cpp
+++ b/backend/go/stablediffusion-ggml/gosd.cpp
@@ -1,16 +1,14 @@
+#include <cstdint>
+#define GGML_MAX_NAME 128
+
 #include <stdio.h>
 #include <string.h>
 #include <time.h>
-#include <iostream>
-#include <random>
 #include <string>
 #include <vector>
+#include <filesystem>
 #include "gosd.h"

-// #include "preprocessing.hpp"
-#include "flux.hpp"
-#include "stable-diffusion.h"
-
 #define STB_IMAGE_IMPLEMENTATION
 #define STB_IMAGE_STATIC
 #include "stb_image.h"
@@ -25,7 +23,7 @@

 // Names of the sampler method, same order as enum sample_method in stable-diffusion.h
 const char* sample_method_str[] = {
-    "euler_a",
+    "default",
    "euler",
    "heun",
    "dpm2",
@@ -37,24 +35,32 @@ const char* sample_method_str[] = {
    "lcm",
    "ddim_trailing",
    "tcd",
+    "euler_a",
 };

+static_assert(std::size(sample_method_str) == SAMPLE_METHOD_COUNT, "sample method mismatch");
+
 // Names of the sigma schedule overrides, same order as sample_schedule in stable-diffusion.h
-const char* schedule_str[] = {
+const char* schedulers[] = {
    "default",
    "discrete",
    "karras",
    "exponential",
    "ays",
    "gits",
+    "smoothstep",
 };

+static_assert(std::size(schedulers) == SCHEDULE_COUNT, "schedulers mismatch");
+
 sd_ctx_t* sd_c;
+// Moved from the context (load time) to generation time params
+scheduler_t scheduler = scheduler_t::DEFAULT;

 sample_method_t sample_method;

 // Copied from the upstream CLI
-void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
+static void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
    //SDParams* params = (SDParams*)data;
    const char* level_str;

@@ -85,31 +91,33 @@ void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
    fflush(stderr);
 }

-int load_model(char *model, char* options[], int threads, int diff) {
-    fprintf (stderr, "Loading model!\n");
+int load_model(const char *model, char *model_path, char* options[], int threads, int diff) {
+    fprintf (stderr, "Loading model: %p=%s\n", model, model);

    sd_set_log_callback(sd_log_cb, NULL);

-    char *stableDiffusionModel = "";
+    const char *stableDiffusionModel = "";
    if (diff == 1 ) {
        stableDiffusionModel = model;
        model = "";
    }

    // decode options. Options are in form optname:optvale, or if booleans only optname.
-    char *clip_l_path  = "";
-    char *clip_g_path  = "";
-    char *t5xxl_path  = "";
-    char *vae_path  = "";
-    char *scheduler = "";
-    char *sampler = "";
+    const char *clip_l_path  = "";
+    const char *clip_g_path  = "";
+    const char *t5xxl_path  = "";
+    const char *vae_path  = "";
+    const char *scheduler_str = "";
+    const char *sampler = "";
+    char *lora_dir = model_path;
+    bool lora_dir_allocated = false;

-    fprintf(stderr, "parsing options\n");
+    fprintf(stderr, "parsing options: %p\n", options);

    // If options is not NULL, parse options
    for (int i = 0; options[i] != NULL; i++) {
-        char *optname = strtok(options[i], ":");
-        char *optval = strtok(NULL, ":");
+        const char *optname = strtok(options[i], ":");
+        const char *optval = strtok(NULL, ":");
        if (optval == NULL) {
            optval = "true";
        }
@@ -127,11 +135,26 @@ int load_model(char *model, char* options[], int threads, int diff) {
            vae_path = optval;
        }
        if (!strcmp(optname, "scheduler")) {
-            scheduler = optval;
+            scheduler_str = optval;
        }
        if (!strcmp(optname, "sampler")) {
            sampler = optval;
        }
+        if (!strcmp(optname, "lora_dir")) {
+            // Path join with model dir
+            if (model_path && strlen(model_path) > 0) {
+                std::filesystem::path model_path_str(model_path);
+                std::filesystem::path lora_path(optval);
+                std::filesystem::path full_lora_path = model_path_str / lora_path;
+                lora_dir = strdup(full_lora_path.string().c_str());
+                lora_dir_allocated = true;
+                fprintf(stderr, "Lora dir resolved to: %s\n", lora_dir);
+            } else {
+                lora_dir = strdup(optval);
+                lora_dir_allocated = true;
+                fprintf(stderr, "No model path provided, using lora dir as-is: %s\n", lora_dir);
+            }
+        }
    }

    fprintf(stderr, "parsed options\n");
@@ -145,26 +168,17 @@ int load_model(char *model, char* options[], int threads, int diff) {
    }
    if (sample_method_found == -1) {
        fprintf(stderr, "Invalid sample method, default to EULER_A!\n");
-        sample_method_found = EULER_A;
+        sample_method_found = sample_method_t::SAMPLE_METHOD_DEFAULT;
    }
    sample_method = (sample_method_t)sample_method_found;

-    int schedule_found            = -1;
    for (int d = 0; d < SCHEDULE_COUNT; d++) {
-        if (!strcmp(scheduler, schedule_str[d])) {
-            schedule_found = d;
-                fprintf (stderr, "Found scheduler: %s\n", scheduler);
-
+        if (!strcmp(scheduler_str, schedulers[d])) {
+            scheduler = (scheduler_t)d;
+            fprintf (stderr, "Found scheduler: %s\n", scheduler_str);
        }
    }

-    if (schedule_found == -1) {
-        fprintf (stderr, "Invalid scheduler! using DEFAULT\n");
-        schedule_found = DEFAULT;
-    }
-
-    schedule_t schedule = (schedule_t)schedule_found;
-
    fprintf (stderr, "Creating context\n");
    sd_ctx_params_t ctx_params;
    sd_ctx_params_init(&ctx_params);
@@ -176,29 +190,77 @@ int load_model(char *model, char* options[], int threads, int diff) {
    ctx_params.vae_path = vae_path;
    ctx_params.taesd_path = "";
    ctx_params.control_net_path = "";
-    ctx_params.lora_model_dir = "";
+    ctx_params.lora_model_dir = lora_dir;
    ctx_params.embedding_dir = "";
-    ctx_params.stacked_id_embed_dir = "";
    ctx_params.vae_decode_only = false;
-    ctx_params.vae_tiling = false;
    ctx_params.free_params_immediately = false;
    ctx_params.n_threads = threads;
    ctx_params.rng_type = STD_DEFAULT_RNG;
-    ctx_params.schedule = schedule;
    sd_ctx_t* sd_ctx = new_sd_ctx(&ctx_params);

    if (sd_ctx == NULL) {
        fprintf (stderr, "failed loading model (generic error)\n");
+        // Clean up allocated memory
+        if (lora_dir_allocated && lora_dir) {
+            free(lora_dir);
+        }
        return 1;
    }
    fprintf (stderr, "Created context: OK\n");

    sd_c = sd_ctx;

+    // Clean up allocated memory
+    if (lora_dir_allocated && lora_dir) {
+        free(lora_dir);
+    }
+
    return 0;
 }

-int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed , char *dst, float cfg_scale) {
+void sd_tiling_params_set_enabled(sd_tiling_params_t *params, bool enabled) {
+    params->enabled = enabled;
+}
+
+void sd_tiling_params_set_tile_sizes(sd_tiling_params_t *params, int tile_size_x, int tile_size_y) {
+    params->tile_size_x = tile_size_x;
+    params->tile_size_y = tile_size_y;
+}
+
+void sd_tiling_params_set_rel_sizes(sd_tiling_params_t *params, float rel_size_x, float rel_size_y) {
+    params->rel_size_x = rel_size_x;
+    params->rel_size_y = rel_size_y;
+}
+
+void sd_tiling_params_set_target_overlap(sd_tiling_params_t *params, float target_overlap) {
+    params->target_overlap = target_overlap;
+}
+
+sd_tiling_params_t* sd_img_gen_params_get_vae_tiling_params(sd_img_gen_params_t *params) {
+    return &params->vae_tiling_params;
+}
+
+sd_img_gen_params_t* sd_img_gen_params_new(void) {
+    sd_img_gen_params_t *params = (sd_img_gen_params_t *)std::malloc(sizeof(sd_img_gen_params_t));
+    sd_img_gen_params_init(params);
+    return params;
+}
+
+void sd_img_gen_params_set_prompts(sd_img_gen_params_t *params, const char *prompt, const char *negative_prompt) {
+    params->prompt = prompt;
+    params->negative_prompt = negative_prompt;
+}
+
+void sd_img_gen_params_set_dimensions(sd_img_gen_params_t *params, int width, int height) {
+    params->width = width;
+    params->height = height;
+}
+
+void sd_img_gen_params_set_seed(sd_img_gen_params_t *params, int64_t seed) {
+    params->seed = seed;
+}
+
+int gen_image(sd_img_gen_params_t *p, int steps, char *dst, float cfg_scale, char *src_image, float strength, char *mask_image, char **ref_images, int ref_images_count) {

    sd_image_t* results;

@@ -206,30 +268,199 @@ int gen_image(char *text, char *negativeText, int width, int height, int steps,

    fprintf (stderr, "Generating image\n");

-    sd_img_gen_params_t p;
-    sd_img_gen_params_init(&p);
+    p->sample_params.guidance.txt_cfg = cfg_scale;
+    p->sample_params.guidance.slg.layers = skip_layers.data();
+    p->sample_params.guidance.slg.layer_count = skip_layers.size();
+    p->sample_params.sample_method = sample_method;
+    p->sample_params.sample_steps = steps;
+    p->sample_params.scheduler = scheduler;

-    p.prompt = text;
-    p.negative_prompt = negativeText;
-    p.guidance.txt_cfg = cfg_scale;
-    p.guidance.slg.layers = skip_layers.data();
-    p.guidance.slg.layer_count = skip_layers.size();
-    p.width = width;
-    p.height = height;
-    p.sample_method = sample_method;
-    p.sample_steps = steps;
-    p.seed = seed;
-    p.input_id_images_path = "";
+    int width = p->width;
+    int height = p->height;

-    results = generate_image(sd_c, &p);
+    // Handle input image for img2img
+    bool has_input_image = (src_image != NULL && strlen(src_image) > 0);
+    bool has_mask_image = (mask_image != NULL && strlen(mask_image) > 0);
+
+    uint8_t* input_image_buffer = NULL;
+    uint8_t* mask_image_buffer = NULL;
+    std::vector<uint8_t> default_mask_image_vec;
+
+    if (has_input_image) {
+        fprintf(stderr, "Loading input image: %s\n", src_image);
+
+        int c = 0;
+        int img_width = 0;
+        int img_height = 0;
+        input_image_buffer = stbi_load(src_image, &img_width, &img_height, &c, 3);
+        if (input_image_buffer == NULL) {
+            fprintf(stderr, "Failed to load input image from '%s'\n", src_image);
+            return 1;
+        }
+        if (c < 3) {
+            fprintf(stderr, "Input image must have at least 3 channels, got %d\n", c);
+            free(input_image_buffer);
+            return 1;
+        }
+
+        // Resize input image if dimensions don't match
+        if (img_width != width || img_height != height) {
+            fprintf(stderr, "Resizing input image from %dx%d to %dx%d\n", img_width, img_height, width, height);
+
+            uint8_t* resized_image_buffer = (uint8_t*)malloc(height * width * 3);
+            if (resized_image_buffer == NULL) {
+                fprintf(stderr, "Failed to allocate memory for resized image\n");
+                free(input_image_buffer);
+                return 1;
+            }
+
+            stbir_resize(input_image_buffer, img_width, img_height, 0,
+                         resized_image_buffer, width, height, 0, STBIR_TYPE_UINT8,
+                         3, STBIR_ALPHA_CHANNEL_NONE, 0,
+                         STBIR_EDGE_CLAMP, STBIR_EDGE_CLAMP,
+                         STBIR_FILTER_BOX, STBIR_FILTER_BOX,
+                         STBIR_COLORSPACE_SRGB, nullptr);
+
+            free(input_image_buffer);
+            input_image_buffer = resized_image_buffer;
+        }
+
+        p->init_image = {(uint32_t)width, (uint32_t)height, 3, input_image_buffer};
+        p->strength = strength;
+        fprintf(stderr, "Using img2img with strength: %.2f\n", strength);
+    } else {
+        // No input image, use empty image for text-to-image
+        p->init_image = {(uint32_t)width, (uint32_t)height, 3, NULL};
+        p->strength = 0.0f;
+    }
+
+    // Handle mask image for inpainting
+    if (has_mask_image) {
+        fprintf(stderr, "Loading mask image: %s\n", mask_image);
+
+        int c = 0;
+        int mask_width = 0;
+        int mask_height = 0;
+        mask_image_buffer = stbi_load(mask_image, &mask_width, &mask_height, &c, 1);
+        if (mask_image_buffer == NULL) {
+            fprintf(stderr, "Failed to load mask image from '%s'\n", mask_image);
+            if (input_image_buffer) free(input_image_buffer);
+            return 1;
+        }
+
+        // Resize mask if dimensions don't match
+        if (mask_width != width || mask_height != height) {
+            fprintf(stderr, "Resizing mask image from %dx%d to %dx%d\n", mask_width, mask_height, width, height);
+
+            uint8_t* resized_mask_buffer = (uint8_t*)malloc(height * width);
+            if (resized_mask_buffer == NULL) {
+                fprintf(stderr, "Failed to allocate memory for resized mask\n");
+                free(mask_image_buffer);
+                if (input_image_buffer) free(input_image_buffer);
+                return 1;
+            }
+
+            stbir_resize(mask_image_buffer, mask_width, mask_height, 0,
+                         resized_mask_buffer, width, height, 0, STBIR_TYPE_UINT8,
+                         1, STBIR_ALPHA_CHANNEL_NONE, 0,
+                         STBIR_EDGE_CLAMP, STBIR_EDGE_CLAMP,
+                         STBIR_FILTER_BOX, STBIR_FILTER_BOX,
+                         STBIR_COLORSPACE_SRGB, nullptr);
+
+            free(mask_image_buffer);
+            mask_image_buffer = resized_mask_buffer;
+        }
+
+        p->mask_image = {(uint32_t)width, (uint32_t)height, 1, mask_image_buffer};
+        fprintf(stderr, "Using inpainting with mask\n");
+    } else {
+        // No mask image, create default full mask
+        default_mask_image_vec.resize(width * height, 255);
+        p->mask_image = {(uint32_t)width, (uint32_t)height, 1, default_mask_image_vec.data()};
+    }
+
+    // Handle reference images
+    std::vector<sd_image_t> ref_images_vec;
+    std::vector<uint8_t*> ref_image_buffers;
+
+    if (ref_images_count > 0 && ref_images != NULL) {
+        fprintf(stderr, "Loading %d reference images\n", ref_images_count);
+
+        for (int i = 0; i < ref_images_count; i++) {
+            if (ref_images[i] == NULL || strlen(ref_images[i]) == 0) {
+                continue;
+            }
+
+            fprintf(stderr, "Loading reference image %d: %s\n", i + 1, ref_images[i]);
+
+            int c = 0;
+            int ref_width = 0;
+            int ref_height = 0;
+            uint8_t* ref_image_buffer = stbi_load(ref_images[i], &ref_width, &ref_height, &c, 3);
+            if (ref_image_buffer == NULL) {
+                fprintf(stderr, "Failed to load reference image from '%s'\n", ref_images[i]);
+                continue;
+            }
+            if (c < 3) {
+                fprintf(stderr, "Reference image must have at least 3 channels, got %d\n", c);
+                free(ref_image_buffer);
+                continue;
+            }
+
+            // Resize reference image if dimensions don't match
+            if (ref_width != width || ref_height != height) {
+                fprintf(stderr, "Resizing reference image from %dx%d to %dx%d\n", ref_width, ref_height, width, height);
+
+                uint8_t* resized_ref_buffer = (uint8_t*)malloc(height * width * 3);
+                if (resized_ref_buffer == NULL) {
+                    fprintf(stderr, "Failed to allocate memory for resized reference image\n");
+                    free(ref_image_buffer);
+                    continue;
+                }
+
+                stbir_resize(ref_image_buffer, ref_width, ref_height, 0,
+                             resized_ref_buffer, width, height, 0, STBIR_TYPE_UINT8,
+                             3, STBIR_ALPHA_CHANNEL_NONE, 0,
+                             STBIR_EDGE_CLAMP, STBIR_EDGE_CLAMP,
+                             STBIR_FILTER_BOX, STBIR_FILTER_BOX,
+                             STBIR_COLORSPACE_SRGB, nullptr);
+
+                free(ref_image_buffer);
+                ref_image_buffer = resized_ref_buffer;
+            }
+
+            ref_image_buffers.push_back(ref_image_buffer);
+            ref_images_vec.push_back({(uint32_t)width, (uint32_t)height, 3, ref_image_buffer});
+        }
+
+        if (!ref_images_vec.empty()) {
+            p->ref_images = ref_images_vec.data();
+            p->ref_images_count = ref_images_vec.size();
+            fprintf(stderr, "Using %zu reference images\n", ref_images_vec.size());
+        }
+    }
+
+    results = generate_image(sd_c, p);
+
+    std::free(p);

    if (results == NULL) {
        fprintf (stderr, "NO results\n");
+        if (input_image_buffer) free(input_image_buffer);
+        if (mask_image_buffer) free(mask_image_buffer);
+        for (auto buffer : ref_image_buffers) {
+            if (buffer) free(buffer);
+        }
        return 1;
    }

    if (results[0].data == NULL) {
        fprintf (stderr, "Results with no data\n");
+        if (input_image_buffer) free(input_image_buffer);
+        if (mask_image_buffer) free(mask_image_buffer);
+        for (auto buffer : ref_image_buffers) {
+            if (buffer) free(buffer);
+        }
        return 1;
    }

@@ -245,17 +476,21 @@ int gen_image(char *text, char *negativeText, int width, int height, int steps,
                       results[0].data, 0, NULL);
    fprintf (stderr, "Saved resulting image to '%s'\n", dst);

-    // TODO: free results. Why does it crash?
-
+    // Clean up
    free(results[0].data);
    results[0].data = NULL;
    free(results);
-    fprintf (stderr, "gen_image is done", dst);
+    if (input_image_buffer) free(input_image_buffer);
+    if (mask_image_buffer) free(mask_image_buffer);
+    for (auto buffer : ref_image_buffers) {
+        if (buffer) free(buffer);
+    }
+    fprintf (stderr, "gen_image is done: %s", dst);

    return 0;
 }

 int unload() {
    free_sd_ctx(sd_c);
+    return 0;
 }
-
--- a/backend/go/stablediffusion-ggml/gosd.go
+++ b/backend/go/stablediffusion-ggml/gosd.go
@@ -1,15 +1,10 @@
 package main

-// #cgo CXXFLAGS: -I${SRCDIR}/sources/stablediffusion-ggml.cpp/thirdparty -I${SRCDIR}/sources/stablediffusion-ggml.cpp -I${SRCDIR}/sources/stablediffusion-ggml.cpp/ggml/include
-// #cgo LDFLAGS: -L${SRCDIR}/ -lsd -lstdc++ -lm -lggmlall -lgomp
-// #include <gosd.h>
-// #include <stdlib.h>
-import "C"
-
 import (
 	"fmt"
 	"os"
 	"path/filepath"
+	"runtime"
 	"strings"
 	"unsafe"

@@ -25,20 +20,45 @@ type SDGGML struct {
 	cfgScale     float32
 }

+var (
+	LoadModel func(model, model_apth string, options []uintptr, threads int32, diff int) int
+	GenImage  func(params uintptr, steps int, dst string, cfgScale float32, srcImage string, strength float32, maskImage string, refImages []string, refImagesCount int) int
+
+	TilingParamsSetEnabled       func(params uintptr, enabled bool)
+	TilingParamsSetTileSizes     func(params uintptr, tileSizeX int, tileSizeY int)
+	TilingParamsSetRelSizes      func(params uintptr, relSizeX float32, relSizeY float32)
+	TilingParamsSetTargetOverlap func(params uintptr, targetOverlap float32)
+
+	ImgGenParamsNew                func() uintptr
+	ImgGenParamsSetPrompts         func(params uintptr, prompt string, negativePrompt string)
+	ImgGenParamsSetDimensions      func(params uintptr, width int, height int)
+	ImgGenParamsSetSeed            func(params uintptr, seed int64)
+	ImgGenParamsGetVaeTilingParams func(params uintptr) uintptr
+)
+
+// Copied from Purego internal/strings
+// TODO: We should upstream sending []string
+func hasSuffix(s, suffix string) bool {
+	return len(s) >= len(suffix) && s[len(s)-len(suffix):] == suffix
+}
+
+func CString(name string) *byte {
+	if hasSuffix(name, "\x00") {
+		return &(*(*[]byte)(unsafe.Pointer(&name)))[0]
+	}
+	b := make([]byte, len(name)+1)
+	copy(b, name)
+	return &b[0]
+}
+
 func (sd *SDGGML) Load(opts *pb.ModelOptions) error {

 	sd.threads = int(opts.Threads)

-	modelFile := C.CString(opts.ModelFile)
-	defer C.free(unsafe.Pointer(modelFile))
+	modelPath := opts.ModelPath

-	var options **C.char
-	// prepare the options array to pass to C
-
-	size := C.size_t(unsafe.Sizeof((*C.char)(nil)))
-	length := C.size_t(len(opts.Options))
-	options = (**C.char)(C.malloc((length + 1) * size))
-	view := (*[1 << 30]*C.char)(unsafe.Pointer(options))[0:len(opts.Options) + 1:len(opts.Options) + 1]
+	modelFile := opts.ModelFile
+	modelPathC := modelPath

 	var diffusionModel int

@@ -63,32 +83,63 @@ func (sd *SDGGML) Load(opts *pb.ModelOptions) error {

 	fmt.Fprintf(os.Stderr, "Options: %+v\n", oo)

-	for i, x := range oo {
-		view[i] = C.CString(x)
+	// At the time of writing Purego doesn't recurse into slices and convert Go strings to pointers so we need to do that
+	var keepAlive []any
+	options := make([]uintptr, len(oo), len(oo)+1)
+	for i, op := range oo {
+		bytep := CString(op)
+		options[i] = uintptr(unsafe.Pointer(bytep))
+		keepAlive = append(keepAlive, bytep)
 	}
-	view[len(oo)] = nil

 	sd.cfgScale = opts.CFGScale

-	ret := C.load_model(modelFile, options, C.int(opts.Threads), C.int(diffusionModel))
+	ret := LoadModel(modelFile, modelPathC, options, opts.Threads, diffusionModel)
 	if ret != 0 {
 		return fmt.Errorf("could not load model")
 	}

+	runtime.KeepAlive(keepAlive)
+
 	return nil
 }

 func (sd *SDGGML) GenerateImage(opts *pb.GenerateImageRequest) error {
-	t := C.CString(opts.PositivePrompt)
-	defer C.free(unsafe.Pointer(t))
+	t := opts.PositivePrompt
+	dst := opts.Dst
+	negative := opts.NegativePrompt
+	srcImage := opts.Src

-	dst := C.CString(opts.Dst)
-	defer C.free(unsafe.Pointer(dst))
+	var maskImage string
+	if opts.EnableParameters != "" {
+		if strings.Contains(opts.EnableParameters, "mask:") {
+			parts := strings.Split(opts.EnableParameters, "mask:")
+			if len(parts) > 1 {
+				maskPath := strings.TrimSpace(parts[1])
+				if maskPath != "" {
+					maskImage = maskPath
+				}
+			}
+		}
+	}

-	negative := C.CString(opts.NegativePrompt)
-	defer C.free(unsafe.Pointer(negative))
+	refImagesCount := len(opts.RefImages)
+	refImages := make([]string, refImagesCount, refImagesCount+1)
+	copy(refImages, opts.RefImages)
+	*(*uintptr)(unsafe.Add(unsafe.Pointer(&refImages), refImagesCount)) = 0

-	ret := C.gen_image(t, negative, C.int(opts.Width), C.int(opts.Height), C.int(opts.Step), C.int(opts.Seed), dst, C.float(sd.cfgScale))
+	// Default strength for img2img (0.75 is a good default)
+	strength := float32(0.75)
+
+	// free'd by GenImage
+	p := ImgGenParamsNew()
+	ImgGenParamsSetPrompts(p, t, negative)
+	ImgGenParamsSetDimensions(p, int(opts.Width), int(opts.Height))
+	ImgGenParamsSetSeed(p, int64(opts.Seed))
+	vaep := ImgGenParamsGetVaeTilingParams(p)
+	TilingParamsSetEnabled(vaep, false)
+
+	ret := GenImage(p, int(opts.Step), dst, sd.cfgScale, srcImage, strength, maskImage, refImages, refImagesCount)
 	if ret != 0 {
 		return fmt.Errorf("inference failed")
 	}
--- a/backend/go/stablediffusion-ggml/gosd.h
+++ b/backend/go/stablediffusion-ggml/gosd.h
@@ -1,8 +1,23 @@
+#include <cstdint>
+#include "stable-diffusion.h"
+
 #ifdef __cplusplus
 extern "C" {
 #endif
-int load_model(char *model, char* options[], int threads, int diffusionModel);
-int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed, char *dst, float cfg_scale);
+
+void sd_tiling_params_set_enabled(sd_tiling_params_t *params, bool enabled);
+void sd_tiling_params_set_tile_sizes(sd_tiling_params_t *params, int tile_size_x, int tile_size_y);
+void sd_tiling_params_set_rel_sizes(sd_tiling_params_t *params, float rel_size_x, float rel_size_y);
+void sd_tiling_params_set_target_overlap(sd_tiling_params_t *params, float target_overlap);
+sd_tiling_params_t* sd_img_gen_params_get_vae_tiling_params(sd_img_gen_params_t *params);
+
+sd_img_gen_params_t* sd_img_gen_params_new(void);
+void sd_img_gen_params_set_prompts(sd_img_gen_params_t *params, const char *prompt, const char *negative_prompt);
+void sd_img_gen_params_set_dimensions(sd_img_gen_params_t *params, int width, int height);
+void sd_img_gen_params_set_seed(sd_img_gen_params_t *params, int64_t seed);
+
+int load_model(const char *model, char *model_path, char* options[], int threads, int diffusionModel);
+int gen_image(sd_img_gen_params_t *p, int steps, char *dst, float cfg_scale, char *src_image, float strength, char *mask_image, char **ref_images, int ref_images_count);
 #ifdef __cplusplus
 }
-#endif
+#endif
--- a/backend/go/stablediffusion-ggml/main.go
+++ b/backend/go/stablediffusion-ggml/main.go
@@ -1,9 +1,9 @@
 package main

-// Note: this is started internally by LocalAI and a server is allocated for each model
 import (
 	"flag"

+	"github.com/ebitengine/purego"
 	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

@@ -11,7 +11,36 @@ var (
 	addr = flag.String("addr", "localhost:50051", "the address to connect to")
 )

+type LibFuncs struct {
+	FuncPtr any
+	Name    string
+}
+
 func main() {
+	gosd, err := purego.Dlopen("./libgosd.so", purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(err)
+	}
+
+	libFuncs := []LibFuncs{
+		{&LoadModel, "load_model"},
+		{&GenImage, "gen_image"},
+		{&TilingParamsSetEnabled, "sd_tiling_params_set_enabled"},
+		{&TilingParamsSetTileSizes, "sd_tiling_params_set_tile_sizes"},
+		{&TilingParamsSetRelSizes, "sd_tiling_params_set_rel_sizes"},
+		{&TilingParamsSetTargetOverlap, "sd_tiling_params_set_target_overlap"},
+
+		{&ImgGenParamsNew, "sd_img_gen_params_new"},
+		{&ImgGenParamsSetPrompts, "sd_img_gen_params_set_prompts"},
+		{&ImgGenParamsSetDimensions, "sd_img_gen_params_set_dimensions"},
+		{&ImgGenParamsSetSeed, "sd_img_gen_params_set_seed"},
+		{&ImgGenParamsGetVaeTilingParams, "sd_img_gen_params_get_vae_tiling_params"},
+	}
+
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, gosd, lf.Name)
+	}
+
 	flag.Parse()

 	if err := grpc.StartServer(*addr, &SDGGML{}); err != nil {
--- a/backend/go/stablediffusion-ggml/package.sh
+++ b/backend/go/stablediffusion-ggml/package.sh
@@ -10,8 +10,9 @@ CURDIR=$(dirname "$(realpath $0)")
 # Create lib directory
 mkdir -p $CURDIR/package/lib

-cp -avrf $CURDIR/stablediffusion-ggml $CURDIR/package/
-cp -rfv $CURDIR/run.sh $CURDIR/package/
+cp -avf $CURDIR/libgosd.so $CURDIR/package/
+cp -avf $CURDIR/stablediffusion-ggml $CURDIR/package/
+cp -fv $CURDIR/run.sh $CURDIR/package/

 # Detect architecture and copy appropriate libraries
 if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
@@ -42,11 +43,13 @@ elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
    cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
    cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
    cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
+elif [ $(uname -s) = "Darwin" ]; then
+    echo "Detected Darwin"
 else
    echo "Error: Could not detect architecture"
    exit 1
 fi

-echo "Packaging completed successfully" 
+echo "Packaging completed successfully"
 ls -liah $CURDIR/package/
-ls -liah $CURDIR/package/lib/
+ls -liah $CURDIR/package/lib/
--- a/backend/go/whisper/.gitignore
+++ b/backend/go/whisper/.gitignore
@@ -0,0 +1,7 @@
+.cache/
+sources/
+build/
+package/
+whisper
+libgowhisper.so
+
--- a/backend/go/whisper/CMakeLists.txt
+++ b/backend/go/whisper/CMakeLists.txt
@@ -0,0 +1,16 @@
+cmake_minimum_required(VERSION 3.12)
+project(gowhisper LANGUAGES C CXX)
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
+add_subdirectory(./sources/whisper.cpp)
+
+add_library(gowhisper MODULE gowhisper.cpp)
+target_link_libraries(gowhisper PRIVATE whisper ggml)
+
+if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
+    target_link_libraries(gosd PRIVATE stdc++fs)
+endif()
+
+set_property(TARGET gowhisper PROPERTY CXX_STANDARD 17)
+set_target_properties(gowhisper PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})
--- a/backend/go/whisper/Makefile
+++ b/backend/go/whisper/Makefile
@@ -1,110 +1,53 @@
-GOCMD=go
+CMAKE_ARGS?=
+BUILD_TYPE?=
 NATIVE?=false

-BUILD_TYPE?=
-CMAKE_ARGS?=
+GOCMD?=go
+GO_TAGS?=
+JOBS?=$(shell nproc --ignore=1)

 # whisper.cpp version
 WHISPER_REPO?=https://github.com/ggml-org/whisper.cpp
-WHISPER_CPP_VERSION?=7de8dd783f7b2eab56bff6bbc5d3369e34f0e77f
+WHISPER_CPP_VERSION?=edea8a9c3cf0eb7676dcdb604991eb2f95c3d984

-export WHISPER_CMAKE_ARGS?=-DBUILD_SHARED_LIBS=OFF
-export WHISPER_DIR=$(abspath ./sources/whisper.cpp)
-export WHISPER_INCLUDE_PATH=$(WHISPER_DIR)/include:$(WHISPER_DIR)/ggml/include
-export WHISPER_LIBRARY_PATH=$(WHISPER_DIR)/build/src/:$(WHISPER_DIR)/build/ggml/src
+CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

-CGO_LDFLAGS_WHISPER?=
-CGO_LDFLAGS_WHISPER+=-lggml
-CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF -DLLAMA_CURL=OFF
-CUDA_LIBPATH?=/usr/local/cuda/lib64/
-
-ONEAPI_VERSION?=2025.2
-
-# IF native is false, we add -DGGML_NATIVE=OFF to CMAKE_ARGS
-ifeq ($(NATIVE),false)
-	CMAKE_ARGS+=-DGGML_NATIVE=OFF
-	WHISPER_CMAKE_ARGS+=-DGGML_NATIVE=OFF
-endif
-CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
 ifeq ($(NATIVE),false)
 	CMAKE_ARGS+=-DGGML_NATIVE=OFF
 endif
-# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
+
 ifeq ($(BUILD_TYPE),cublas)
-	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH) -L$(CUDA_LIBPATH)/stubs/ -lcuda
 	CMAKE_ARGS+=-DGGML_CUDA=ON
-	CGO_LDFLAGS_WHISPER+=-lcufft -lggml-cuda
-	export WHISPER_LIBRARY_PATH:=$(WHISPER_LIBRARY_PATH):$(WHISPER_DIR)/build/ggml/src/ggml-cuda/
-# If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
-# to CMAKE_ARGS automatically
 else ifeq ($(BUILD_TYPE),openblas)
 	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
-# If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
-# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
 else ifeq ($(BUILD_TYPE),hipblas)
-	ROCM_HOME ?= /opt/rocm
-	ROCM_PATH ?= /opt/rocm
-	LD_LIBRARY_PATH ?= /opt/rocm/lib:/opt/rocm/llvm/lib
-	export STABLE_BUILD_TYPE=
-	export CXX=$(ROCM_HOME)/llvm/bin/clang++
-	export CC=$(ROCM_HOME)/llvm/bin/clang
-#	GPU_TARGETS ?= gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102
-#	AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
-	CMAKE_ARGS+=-DGGML_HIP=ON
-	CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link -L${ROCM_HOME}/lib/llvm/lib -L$(CURRENT_MAKEFILE_DIR)/sources/whisper.cpp/build/ggml/src/ggml-hip/ -lggml-hip
-#	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
+	CMAKE_ARGS+=-DGGML_HIPBLAS=ON
 else ifeq ($(BUILD_TYPE),vulkan)
-	CMAKE_ARGS+=-DGGML_VULKAN=1
-	CGO_LDFLAGS_WHISPER+=-lggml-vulkan -lvulkan
-	export WHISPER_LIBRARY_PATH:=$(WHISPER_LIBRARY_PATH):$(WHISPER_DIR)/build/ggml/src/ggml-vulkan/
+	CMAKE_ARGS+=-DGGML_VULKAN=ON
 else ifeq ($(OS),Darwin)
-	ifeq ($(BUILD_TYPE),)
-		BUILD_TYPE=metal
-	endif
 	ifneq ($(BUILD_TYPE),metal)
 		CMAKE_ARGS+=-DGGML_METAL=OFF
-		CGO_LDFLAGS_WHISPER+=-lggml-blas
-		export WHISPER_LIBRARY_PATH:=$(WHISPER_LIBRARY_PATH):$(WHISPER_DIR)/build/ggml/src/ggml-blas
 	else
 		CMAKE_ARGS+=-DGGML_METAL=ON
 		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
-		CMAKE_ARGS+=-DGGML_METAL_USE_BF16=ON
-		CMAKE_ARGS+=-DGGML_OPENMP=OFF
-		CMAKE_ARGS+=-DWHISPER_BUILD_EXAMPLES=OFF
-		CMAKE_ARGS+=-DWHISPER_BUILD_TESTS=OFF
-		CMAKE_ARGS+=-DWHISPER_BUILD_SERVER=OFF
-		CGO_LDFLAGS += -framework Accelerate
-		CGO_LDFLAGS_WHISPER+=-lggml-metal -lggml-blas
-		export WHISPER_LIBRARY_PATH:=$(WHISPER_LIBRARY_PATH):$(WHISPER_DIR)/build/ggml/src/ggml-metal/:$(WHISPER_DIR)/build/ggml/src/ggml-blas
 	endif
-	TARGET+=--target ggml-metal
-endif
-
-ifneq (,$(findstring sycl,$(BUILD_TYPE)))
-	export CC=icx
-	export CXX=icpx
-	CGO_LDFLAGS_WHISPER += -fsycl -L${DNNLROOT}/lib -rpath ${ONEAPI_ROOT}/${ONEAPI_VERSION}/lib -ldnnl ${MKLROOT}/lib/intel64/libmkl_sycl.a -fiopenmp -fopenmp-targets=spir64 -lOpenCL -lggml-sycl
-	CGO_LDFLAGS_WHISPER += $(shell pkg-config --libs mkl-static-lp64-gomp)
-	CGO_CXXFLAGS_WHISPER += -fiopenmp -fopenmp-targets=spir64
-	CGO_CXXFLAGS_WHISPER += $(shell pkg-config --cflags mkl-static-lp64-gomp )
-	export WHISPER_LIBRARY_PATH:=$(WHISPER_LIBRARY_PATH):$(WHISPER_DIR)/build/ggml/src/ggml-sycl/
-	CMAKE_ARGS+=-DGGML_SYCL=ON \
-		-DCMAKE_C_COMPILER=icx \
-		-DCMAKE_CXX_COMPILER=icpx \
-		-DCMAKE_CXX_FLAGS="-fsycl"
 endif

 ifeq ($(BUILD_TYPE),sycl_f16)
-	CMAKE_ARGS+=-DGGML_SYCL_F16=ON
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DGGML_SYCL_F16=ON
 endif

-ifneq ($(OS),Darwin)
-	CGO_LDFLAGS_WHISPER+=-lgomp
+ifeq ($(BUILD_TYPE),sycl_f32)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx
 endif

-## whisper
 sources/whisper.cpp:
 	mkdir -p sources/whisper.cpp
 	cd sources/whisper.cpp && \
@@ -114,18 +57,21 @@ sources/whisper.cpp:
 	git checkout $(WHISPER_CPP_VERSION) && \
 	git submodule update --init --recursive --depth 1 --single-branch

-sources/whisper.cpp/build/src/libwhisper.a: sources/whisper.cpp
-	cd sources/whisper.cpp && cmake $(CMAKE_ARGS) $(WHISPER_CMAKE_ARGS) . -B ./build
-	cd sources/whisper.cpp/build && cmake --build . --config Release
+libgowhisper.so: sources/whisper.cpp CMakeLists.txt gowhisper.cpp gowhisper.h
+	mkdir -p build && \
+	cd build && \
+	cmake .. $(CMAKE_ARGS) && \
+	cmake --build . --config Release -j$(JOBS) && \
+	cd .. && \
+	mv build/libgowhisper.so ./

-whisper: sources/whisper.cpp sources/whisper.cpp/build/src/libwhisper.a
-	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(CURDIR)/sources/whisper.cpp
-	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp/bindings/go=$(CURDIR)/sources/whisper.cpp/bindings/go
-	CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_WHISPER)" C_INCLUDE_PATH="${WHISPER_INCLUDE_PATH}" LIBRARY_PATH="${WHISPER_LIBRARY_PATH}" LD_LIBRARY_PATH="${WHISPER_LIBRARY_PATH}" \
-	CGO_CXXFLAGS="$(CGO_CXXFLAGS_WHISPER)" \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o whisper ./
+whisper: main.go gowhisper.go libgowhisper.so
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o whisper ./

-package:
+package: whisper
 	bash package.sh

-build: whisper package
+build: package
+
+clean:
+	rm -rf libgowhisper.o build whisper
--- a/backend/go/whisper/gowhisper.cpp
+++ b/backend/go/whisper/gowhisper.cpp
@@ -0,0 +1,154 @@
+#include "gowhisper.h"
+#include "ggml-backend.h"
+#include "whisper.h"
+#include <vector>
+
+static struct whisper_vad_context *vctx;
+static struct whisper_context *ctx;
+static std::vector<float> flat_segs;
+
+static void ggml_log_cb(enum ggml_log_level level, const char *log,
+                        void *data) {
+  const char *level_str;
+
+  if (!log) {
+    return;
+  }
+
+  switch (level) {
+  case GGML_LOG_LEVEL_DEBUG:
+    level_str = "DEBUG";
+    break;
+  case GGML_LOG_LEVEL_INFO:
+    level_str = "INFO";
+    break;
+  case GGML_LOG_LEVEL_WARN:
+    level_str = "WARN";
+    break;
+  case GGML_LOG_LEVEL_ERROR:
+    level_str = "ERROR";
+    break;
+  default: /* Potential future-proofing */
+    level_str = "?????";
+    break;
+  }
+
+  fprintf(stderr, "[%-5s] ", level_str);
+  fputs(log, stderr);
+  fflush(stderr);
+}
+
+int load_model(const char *const model_path) {
+  whisper_log_set(ggml_log_cb, nullptr);
+  ggml_backend_load_all();
+
+  struct whisper_context_params cparams = whisper_context_default_params();
+
+  ctx = whisper_init_from_file_with_params(model_path, cparams);
+  if (ctx == nullptr) {
+    fprintf(stderr, "error: Also failed to init model as transcriber\n");
+    return 1;
+  }
+
+  return 0;
+}
+
+int load_model_vad(const char *const model_path) {
+  whisper_log_set(ggml_log_cb, nullptr);
+  ggml_backend_load_all();
+
+  struct whisper_vad_context_params vcparams =
+      whisper_vad_default_context_params();
+
+  // XXX: Overridden to false in upstream due to performance?
+  // vcparams.use_gpu = true;
+
+  vctx = whisper_vad_init_from_file_with_params(model_path, vcparams);
+  if (vctx == nullptr) {
+    fprintf(stderr, "error: Failed to init model as VAD\n");
+    return 1;
+  }
+
+  return 0;
+}
+
+int vad(float pcmf32[], size_t pcmf32_len, float **segs_out,
+        size_t *segs_out_len) {
+  if (!whisper_vad_detect_speech(vctx, pcmf32, pcmf32_len)) {
+    fprintf(stderr, "error: failed to detect speech\n");
+    return 1;
+  }
+
+  struct whisper_vad_params params = whisper_vad_default_params();
+  struct whisper_vad_segments *segs =
+      whisper_vad_segments_from_probs(vctx, params);
+  size_t segn = whisper_vad_segments_n_segments(segs);
+
+  // fprintf(stderr, "Got segments %zd\n", segn);
+
+  flat_segs.clear();
+
+  for (int i = 0; i < segn; i++) {
+    flat_segs.push_back(whisper_vad_segments_get_segment_t0(segs, i));
+    flat_segs.push_back(whisper_vad_segments_get_segment_t1(segs, i));
+  }
+
+  // fprintf(stderr, "setting out variables: %p=%p -> %p, %p=%zx -> %zx\n",
+  //         segs_out, *segs_out, flat_segs.data(), segs_out_len, *segs_out_len,
+  //         flat_segs.size());
+  *segs_out = flat_segs.data();
+  *segs_out_len = flat_segs.size();
+
+  // fprintf(stderr, "freeing segs\n");
+  whisper_vad_free_segments(segs);
+
+  // fprintf(stderr, "returning\n");
+  return 0;
+}
+
+int transcribe(uint32_t threads, char *lang, bool translate, bool tdrz,
+               float pcmf32[], size_t pcmf32_len, size_t *segs_out_len) {
+  whisper_full_params wparams =
+      whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
+
+  wparams.n_threads = threads;
+  if (*lang != '\0')
+    wparams.language = lang;
+  else {
+    wparams.language = nullptr;
+  }
+
+  wparams.translate = translate;
+  wparams.debug_mode = true;
+  wparams.print_progress = true;
+  wparams.tdrz_enable = tdrz;
+
+  fprintf(stderr, "info: Enable tdrz: %d\n", tdrz);
+
+  if (whisper_full(ctx, wparams, pcmf32, pcmf32_len)) {
+    fprintf(stderr, "error: transcription failed\n");
+    return 1;
+  }
+
+  *segs_out_len = whisper_full_n_segments(ctx);
+
+  return 0;
+}
+
+const char *get_segment_text(int i) {
+  return whisper_full_get_segment_text(ctx, i);
+}
+
+int64_t get_segment_t0(int i) { return whisper_full_get_segment_t0(ctx, i); }
+
+int64_t get_segment_t1(int i) { return whisper_full_get_segment_t1(ctx, i); }
+
+int n_tokens(int i) { return whisper_full_n_tokens(ctx, i); }
+
+int32_t get_token_id(int i, int j) {
+  return whisper_full_get_token_id(ctx, i, j);
+}
+
+bool get_segment_speaker_turn_next(int i) {
+  return whisper_full_get_segment_speaker_turn_next(ctx, i);
+}
--- a/backend/go/whisper/gowhisper.go
+++ b/backend/go/whisper/gowhisper.go
@@ -0,0 +1,161 @@
+package main
+
+import (
+	"fmt"
+	"os"
+	"path/filepath"
+	"strings"
+	"unsafe"
+
+	"github.com/go-audio/wav"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/utils"
+)
+
+var (
+	CppLoadModel                 func(modelPath string) int
+	CppLoadModelVAD              func(modelPath string) int
+	CppVAD                       func(pcmf32 []float32, pcmf32Size uintptr, segsOut unsafe.Pointer, segsOutLen unsafe.Pointer) int
+	CppTranscribe                func(threads uint32, lang string, translate bool, diarize bool, pcmf32 []float32, pcmf32Len uintptr, segsOutLen unsafe.Pointer) int
+	CppGetSegmentText            func(i int) string
+	CppGetSegmentStart           func(i int) int64
+	CppGetSegmentEnd             func(i int) int64
+	CppNTokens                   func(i int) int
+	CppGetTokenID                func(i int, j int) int
+	CppGetSegmentSpeakerTurnNext func(i int) bool
+)
+
+type Whisper struct {
+	base.SingleThread
+}
+
+func (w *Whisper) Load(opts *pb.ModelOptions) error {
+	vadOnly := false
+
+	for _, oo := range opts.Options {
+		if oo == "vad_only" {
+			vadOnly = true
+		} else {
+			fmt.Fprintf(os.Stderr, "Unrecognized option: %v\n", oo)
+		}
+	}
+
+	if vadOnly {
+		if ret := CppLoadModelVAD(opts.ModelFile); ret != 0 {
+			return fmt.Errorf("Failed to load Whisper VAD model")
+		}
+
+		return nil
+	}
+
+	if ret := CppLoadModel(opts.ModelFile); ret != 0 {
+		return fmt.Errorf("Failed to load Whisper transcription model")
+	}
+
+	return nil
+}
+
+func (w *Whisper) VAD(req *pb.VADRequest) (pb.VADResponse, error) {
+	audio := req.Audio
+	// We expect 0xdeadbeef to be overwritten and if we see it in a stack trace we know it wasn't
+	segsPtr, segsLen := uintptr(0xdeadbeef), uintptr(0xdeadbeef)
+	segsPtrPtr, segsLenPtr := unsafe.Pointer(&segsPtr), unsafe.Pointer(&segsLen)
+
+	if ret := CppVAD(audio, uintptr(len(audio)), segsPtrPtr, segsLenPtr); ret != 0 {
+		return pb.VADResponse{}, fmt.Errorf("Failed VAD")
+	}
+
+	// Happens when CPP vector has not had any elements pushed to it
+	if segsPtr == 0 {
+		return pb.VADResponse{
+			Segments: []*pb.VADSegment{},
+		}, nil
+	}
+
+	// unsafeptr warning is caused by segsPtr being on the stack and therefor being subject to stack copying AFAICT
+	// however the stack shouldn't have grown between setting segsPtr and now, also the memory pointed to is allocated by C++
+	segs := unsafe.Slice((*float32)(unsafe.Pointer(segsPtr)), segsLen)
+
+	vadSegments := []*pb.VADSegment{}
+	for i := range len(segs) >> 1 {
+		s := segs[2*i] / 100
+		t := segs[2*i+1] / 100
+		vadSegments = append(vadSegments, &pb.VADSegment{
+			Start: s,
+			End:   t,
+		})
+	}
+
+	return pb.VADResponse{
+		Segments: vadSegments,
+	}, nil
+}
+
+func (w *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
+	dir, err := os.MkdirTemp("", "whisper")
+	if err != nil {
+		return pb.TranscriptResult{}, err
+	}
+	defer os.RemoveAll(dir)
+
+	convertedPath := filepath.Join(dir, "converted.wav")
+
+	if err := utils.AudioToWav(opts.Dst, convertedPath); err != nil {
+		return pb.TranscriptResult{}, err
+	}
+
+	// Open samples
+	fh, err := os.Open(convertedPath)
+	if err != nil {
+		return pb.TranscriptResult{}, err
+	}
+	defer fh.Close()
+
+	// Read samples
+	d := wav.NewDecoder(fh)
+	buf, err := d.FullPCMBuffer()
+	if err != nil {
+		return pb.TranscriptResult{}, err
+	}
+
+	data := buf.AsFloat32Buffer().Data
+	segsLen := uintptr(0xdeadbeef)
+	segsLenPtr := unsafe.Pointer(&segsLen)
+
+	if ret := CppTranscribe(opts.Threads, opts.Language, opts.Translate, opts.Diarize, data, uintptr(len(data)), segsLenPtr); ret != 0 {
+		return pb.TranscriptResult{}, fmt.Errorf("Failed Transcribe")
+	}
+
+	segments := []*pb.TranscriptSegment{}
+	text := ""
+	for i := range int(segsLen) {
+		s := CppGetSegmentStart(i)
+		t := CppGetSegmentEnd(i)
+		txt := strings.Clone(CppGetSegmentText(i))
+		tokens := make([]int32, CppNTokens(i))
+
+		if opts.Diarize && CppGetSegmentSpeakerTurnNext(i) {
+			txt += " [SPEAKER_TURN]"
+		}
+
+		for j := range tokens {
+			tokens[j] = int32(CppGetTokenID(i, j))
+		}
+		segment := &pb.TranscriptSegment{
+			Id:    int32(i),
+			Text:  txt,
+			Start: s, End: t,
+			Tokens: tokens,
+		}
+
+		segments = append(segments, segment)
+
+		text += " " + strings.TrimSpace(txt)
+	}
+
+	return pb.TranscriptResult{
+		Segments: segments,
+		Text:     strings.TrimSpace(text),
+	}, nil
+}
--- a/backend/go/whisper/gowhisper.h
+++ b/backend/go/whisper/gowhisper.h
@@ -0,0 +1,17 @@
+#include <cstddef>
+#include <cstdint>
+
+extern "C" {
+int load_model(const char *const model_path);
+int load_model_vad(const char *const model_path);
+int vad(float pcmf32[], size_t pcmf32_size, float **segs_out,
+        size_t *segs_out_len);
+int transcribe(uint32_t threads, char *lang, bool translate, bool tdrz,
+               float pcmf32[], size_t pcmf32_len, size_t *segs_out_len);
+const char *get_segment_text(int i);
+int64_t get_segment_t0(int i);
+int64_t get_segment_t1(int i);
+int n_tokens(int i);
+int32_t get_token_id(int i, int j);
+bool get_segment_speaker_turn_next(int i);
+}
--- a/backend/go/whisper/main.go
+++ b/backend/go/whisper/main.go
@@ -1,10 +1,10 @@
 package main

 // Note: this is started internally by LocalAI and a server is allocated for each model
-
 import (
 	"flag"

+	"github.com/ebitengine/purego"
 	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

@@ -12,7 +12,34 @@ var (
 	addr = flag.String("addr", "localhost:50051", "the address to connect to")
 )

+type LibFuncs struct {
+	FuncPtr any
+	Name    string
+}
+
 func main() {
+	gosd, err := purego.Dlopen("./libgowhisper.so", purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(err)
+	}
+
+	libFuncs := []LibFuncs{
+		{&CppLoadModel, "load_model"},
+		{&CppLoadModelVAD, "load_model_vad"},
+		{&CppVAD, "vad"},
+		{&CppTranscribe, "transcribe"},
+		{&CppGetSegmentText, "get_segment_text"},
+		{&CppGetSegmentStart, "get_segment_t0"},
+		{&CppGetSegmentEnd, "get_segment_t1"},
+		{&CppNTokens, "n_tokens"},
+		{&CppGetTokenID, "get_token_id"},
+		{&CppGetSegmentSpeakerTurnNext, "get_segment_speaker_turn_next"},
+	}
+
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, gosd, lf.Name)
+	}
+
 	flag.Parse()

 	if err := grpc.StartServer(*addr, &Whisper{}); err != nil {
--- a/backend/go/whisper/package.sh
+++ b/backend/go/whisper/package.sh
@@ -10,8 +10,8 @@ CURDIR=$(dirname "$(realpath $0)")
 # Create lib directory
 mkdir -p $CURDIR/package/lib

-cp -avrf $CURDIR/whisper $CURDIR/package/
-cp -rfv $CURDIR/run.sh $CURDIR/package/
+cp -avf $CURDIR/whisper $CURDIR/libgowhisper.so $CURDIR/package/
+cp -fv $CURDIR/run.sh $CURDIR/package/

 # Detect architecture and copy appropriate libraries
 if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
@@ -42,11 +42,13 @@ elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
    cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
    cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
    cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
+elif [ $(uname -s) = "Darwin" ]; then
+    echo "Detected Darwin"
 else
    echo "Error: Could not detect architecture"
    exit 1
 fi

-echo "Packaging completed successfully" 
+echo "Packaging completed successfully"
 ls -liah $CURDIR/package/
-ls -liah $CURDIR/package/lib/
+ls -liah $CURDIR/package/lib/
--- a/backend/go/whisper/whisper.go
+++ b/backend/go/whisper/whisper.go
@@ -1,105 +0,0 @@
-package main
-
-// This is a wrapper to statisfy the GRPC service interface
-// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
-import (
-	"os"
-	"path/filepath"
-
-	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
-	"github.com/go-audio/wav"
-	"github.com/mudler/LocalAI/pkg/grpc/base"
-	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
-	"github.com/mudler/LocalAI/pkg/utils"
-)
-
-type Whisper struct {
-	base.SingleThread
-	whisper whisper.Model
-}
-
-func (sd *Whisper) Load(opts *pb.ModelOptions) error {
-	// Note: the Model here is a path to a directory containing the model files
-	w, err := whisper.New(opts.ModelFile)
-	sd.whisper = w
-	return err
-}
-
-func (sd *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
-
-	dir, err := os.MkdirTemp("", "whisper")
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-	defer os.RemoveAll(dir)
-
-	convertedPath := filepath.Join(dir, "converted.wav")
-
-	if err := utils.AudioToWav(opts.Dst, convertedPath); err != nil {
-		return pb.TranscriptResult{}, err
-	}
-
-	// Open samples
-	fh, err := os.Open(convertedPath)
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-	defer fh.Close()
-
-	// Read samples
-	d := wav.NewDecoder(fh)
-	buf, err := d.FullPCMBuffer()
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-
-	data := buf.AsFloat32Buffer().Data
-
-	// Process samples
-	context, err := sd.whisper.NewContext()
-	if err != nil {
-		return pb.TranscriptResult{}, err
-
-	}
-
-	context.SetThreads(uint(opts.Threads))
-
-	if opts.Language != "" {
-		context.SetLanguage(opts.Language)
-	} else {
-		context.SetLanguage("auto")
-	}
-
-	if opts.Translate {
-		context.SetTranslate(true)
-	}
-
-	if err := context.Process(data, nil, nil, nil); err != nil {
-		return pb.TranscriptResult{}, err
-	}
-
-	segments := []*pb.TranscriptSegment{}
-	text := ""
-	for {
-		s, err := context.NextSegment()
-		if err != nil {
-			break
-		}
-
-		var tokens []int32
-		for _, t := range s.Tokens {
-			tokens = append(tokens, int32(t.Id))
-		}
-
-		segment := &pb.TranscriptSegment{Id: int32(s.Num), Text: s.Text, Start: int64(s.Start), End: int64(s.End), Tokens: tokens}
-		segments = append(segments, segment)
-
-		text += s.Text
-	}
-
-	return pb.TranscriptResult{
-		Segments: segments,
-		Text:     text,
-	}, nil
-
-}
--- a/backend/index.yaml
+++ b/backend/index.yaml
@@ -45,6 +45,7 @@
    default: "cpu-whisper"
    nvidia: "cuda12-whisper"
    intel: "intel-sycl-f16-whisper"
+    metal: "metal-whisper"
    amd: "rocm-whisper"
    vulkan: "vulkan-whisper"
    nvidia-l4t: "nvidia-l4t-arm64-whisper"
@@ -71,8 +72,30 @@
    # amd: "rocm-stablediffusion-ggml"
    vulkan: "vulkan-stablediffusion-ggml"
    nvidia-l4t: "nvidia-l4t-arm64-stablediffusion-ggml"
-    # metal: "metal-stablediffusion-ggml"
+    metal: "metal-stablediffusion-ggml"
    # darwin-x86: "darwin-x86-stablediffusion-ggml"
+- &rfdetr
+  name: "rfdetr"
+  alias: "rfdetr"
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  description: |
+    RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license.
+    RF-DETR is the first real-time model to exceed 60 AP on the Microsoft COCO benchmark alongside competitive performance at base sizes. It also achieves state-of-the-art performance on RF100-VL, an object detection benchmark that measures model domain adaptability to real world problems. RF-DETR is fastest and most accurate for its size when compared current real-time objection models.
+    RF-DETR is small enough to run on the edge using Inference, making it an ideal model for deployments that need both strong accuracy and real-time performance.
+  urls:
+    - https://github.com/roboflow/rf-detr
+  tags:
+    - object-detection
+    - rfdetr
+    - gpu
+    - cpu
+  capabilities:
+    nvidia: "cuda12-rfdetr"
+    intel: "intel-rfdetr"
+    #amd: "rocm-rfdetr"
+    nvidia-l4t: "nvidia-l4t-arm64-rfdetr"
+    default: "cpu-rfdetr"
 - &vllm
  name: "vllm"
  license: apache-2.0
@@ -104,13 +127,62 @@
  capabilities:
    nvidia: "cuda12-vllm"
    amd: "rocm-vllm"
-    intel: "intel-sycl-f16-vllm"
+    intel: "intel-vllm"
+- &mlx
+  name: "mlx"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-mlx"
+  icon: https://avatars.githubusercontent.com/u/102832242?s=200&v=4
+  urls:
+    - https://github.com/ml-explore/mlx-lm
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-mlx
+  license: MIT
+  description: |
+      Run LLMs with MLX
+  tags:
+    - text-to-text
+    - LLM
+    - MLX
+- &mlx-vlm
+  name: "mlx-vlm"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-mlx-vlm"
+  icon: https://avatars.githubusercontent.com/u/102832242?s=200&v=4
+  urls:
+    - https://github.com/Blaizzy/mlx-vlm
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-mlx-vlm
+  license: MIT
+  description: |
+      Run Vision-Language Models with MLX
+  tags:
+    - text-to-text
+    - multimodal
+    - vision-language
+    - LLM
+    - MLX
+- &mlx-audio
+  name: "mlx-audio"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-mlx-audio"
+  icon: https://avatars.githubusercontent.com/u/102832242?s=200&v=4
+  urls:
+    - https://github.com/Blaizzy/mlx-audio
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-mlx-audio
+  license: MIT
+  description: |
+      Run Audio Models with MLX
+  tags:
+    - audio-to-text
+    - audio-generation
+    - text-to-audio
+    - LLM
+    - MLX
 - &rerankers
  name: "rerankers"
  alias: "rerankers"
  capabilities:
    nvidia: "cuda12-rerankers"
-    intel: "intel-sycl-f16-rerankers"
+    intel: "intel-rerankers"
    amd: "rocm-rerankers"
 - &transformers
  name: "transformers"
@@ -127,7 +199,7 @@
    - multimodal
  capabilities:
    nvidia: "cuda12-transformers"
-    intel: "intel-sycl-f16-transformers"
+    intel: "intel-transformers"
    amd: "rocm-transformers"
 - &diffusers
  name: "diffusers"
@@ -144,8 +216,11 @@
  alias: "diffusers"
  capabilities:
    nvidia: "cuda12-diffusers"
-    intel: "intel-sycl-f32-diffusers"
+    intel: "intel-diffusers"
    amd: "rocm-diffusers"
+    nvidia-l4t: "nvidia-l4t-diffusers"
+    metal: "metal-diffusers"
+    default: "cpu-diffusers"
 - &exllama2
  name: "exllama2"
  urls:
@@ -160,8 +235,7 @@
  alias: "exllama2"
  capabilities:
    nvidia: "cuda12-exllama2"
-    intel: "intel-sycl-f32-exllama2"
-    amd: "rocm-exllama2"
+    intel: "intel-exllama2"
 - &faster-whisper
  icon: https://avatars.githubusercontent.com/u/1520500?s=200&v=4
  description: |
@@ -176,7 +250,7 @@
  name: "faster-whisper"
  capabilities:
    nvidia: "cuda12-faster-whisper"
-    intel: "intel-sycl-f32-faster-whisper"
+    intel: "intel-faster-whisper"
    amd: "rocm-faster-whisper"
 - &kokoro
  icon: https://avatars.githubusercontent.com/u/166769057?v=4
@@ -194,7 +268,7 @@
  name: "kokoro"
  capabilities:
    nvidia: "cuda12-kokoro"
-    intel: "intel-sycl-f32-kokoro"
+    intel: "intel-kokoro"
    amd: "rocm-kokoro"
 - &coqui
  urls:
@@ -215,7 +289,7 @@
  alias: "coqui"
  capabilities:
    nvidia: "cuda12-coqui"
-    intel: "intel-sycl-f32-coqui"
+    intel: "intel-coqui"
    amd: "rocm-coqui"
  icon: https://avatars.githubusercontent.com/u/1338804?s=200&v=4
 - &bark
@@ -231,7 +305,7 @@
  alias: "bark"
  capabilities:
    cuda: "cuda12-bark"
-    intel: "intel-sycl-f32-bark"
+    intel: "intel-bark"
    rocm: "rocm-bark"
  icon: https://avatars.githubusercontent.com/u/99442120?s=200&v=4
 - &barkcpp
@@ -273,8 +347,11 @@
  license: MIT
  icon: https://private-user-images.githubusercontent.com/660224/448166653-bd8c5f03-e91d-4ee5-b680-57355da204d1.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3NTAxOTE0MDAsIm5iZiI6MTc1MDE5MTEwMCwicGF0aCI6Ii82NjAyMjQvNDQ4MTY2NjUzLWJkOGM1ZjAzLWU5MWQtNGVlNS1iNjgwLTU3MzU1ZGEyMDRkMS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwNjE3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDYxN1QyMDExNDBaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hMmI1NGY3OGFiZTlhNGFkNTVlYTY4NTIwMWEzODRiZGE4YzdhNGQ5MGNhNzE3MDYyYTA2NDIxYTkyYzhiODkwJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.mR9kM9xX0TdzPuSpuspCllHYQiq79dFQ2rtuNvjrl6w
  name: "chatterbox"
+  alias: "chatterbox"
  capabilities:
    nvidia: "cuda12-chatterbox"
+    metal: "metal-chatterbox"
+    default: "cpu-chatterbox"
 - &piper
  name: "piper"
  uri: "quay.io/go-skynet/local-ai-backends:latest-piper"
@@ -335,6 +412,39 @@
    - LLM
    - huggingface
  license: MIT
+- &kitten-tts
+  name: "kitten-tts"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-kitten-tts"
+  mirrors:
+    - localai/localai-backends:latest-kitten-tts
+  urls:
+    - https://github.com/KittenML/KittenTTS
+  description: |
+    Kitten TTS is a text-to-speech model that can generate speech from text.
+  tags:
+    - text-to-speech
+    - TTS
+  license: apache-2.0
+- !!merge <<: *mlx
+  name: "mlx-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-mlx"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-mlx
+- !!merge <<: *mlx-vlm
+  name: "mlx-vlm-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-mlx-vlm"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-mlx-vlm
+- !!merge <<: *mlx-audio
+  name: "mlx-audio-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-mlx-audio"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-mlx-audio
+- !!merge <<: *kitten-tts
+  name: "kitten-tts-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-kitten-tts"
+  mirrors:
+    - localai/localai-backends:master-kitten-tts
 - !!merge <<: *huggingface
  name: "huggingface-development"
  uri: "quay.io/go-skynet/local-ai-backends:master-huggingface"
@@ -472,6 +582,16 @@
  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-whisper"
  mirrors:
    - localai/localai-backends:latest-cpu-whisper
+- !!merge <<: *whispercpp
+  name: "metal-whisper"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-whisper"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-whisper
+- !!merge <<: *whispercpp
+  name: "metal-whisper-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-whisper"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-whisper
 - !!merge <<: *whispercpp
  name: "cpu-whisper-development"
  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-whisper"
@@ -558,6 +678,16 @@
  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-stablediffusion-ggml"
  mirrors:
    - localai/localai-backends:master-cpu-stablediffusion-ggml
+- !!merge <<: *stablediffusionggml
+  name: "metal-stablediffusion-ggml"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-stablediffusion-ggml"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-stablediffusion-ggml
+- !!merge <<: *stablediffusionggml
+  name: "metal-stablediffusion-ggml-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-stablediffusion-ggml"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-stablediffusion-ggml
 - !!merge <<: *stablediffusionggml
  name: "vulkan-stablediffusion-ggml"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-stablediffusion-ggml"
@@ -622,7 +752,7 @@
  capabilities:
    nvidia: "cuda12-vllm-development"
    amd: "rocm-vllm-development"
-    intel: "intel-sycl-f16-vllm-development"
+    intel: "intel-vllm-development"
 - !!merge <<: *vllm
  name: "cuda12-vllm"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-vllm"
@@ -634,15 +764,10 @@
  mirrors:
    - localai/localai-backends:latest-gpu-rocm-hipblas-vllm
 - !!merge <<: *vllm
-  name: "intel-sycl-f32-vllm"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-vllm"
+  name: "intel-vllm"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-vllm"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-vllm
- !!merge <<: *vllm
-  name: "intel-sycl-f16-vllm"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-vllm"
-  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-vllm
+    - localai/localai-backends:latest-gpu-intel-vllm
 - !!merge <<: *vllm
  name: "cuda12-vllm-development"
  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-vllm"
@@ -654,21 +779,75 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-vllm
 - !!merge <<: *vllm
-  name: "intel-sycl-f32-vllm-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-vllm"
+  name: "intel-vllm-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-vllm"
  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-vllm
- !!merge <<: *vllm
-  name: "intel-sycl-f16-vllm-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-vllm"
+    - localai/localai-backends:master-gpu-intel-vllm
+# rfdetr
+- !!merge <<: *rfdetr
+  name: "rfdetr-development"
+  capabilities:
+    nvidia: "cuda12-rfdetr-development"
+    intel: "intel-rfdetr-development"
+    #amd: "rocm-rfdetr-development"
+    nvidia-l4t: "nvidia-l4t-arm64-rfdetr-development"
+    default: "cpu-rfdetr-development"
+- !!merge <<: *rfdetr
+  name: "cuda12-rfdetr"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-rfdetr"
  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-vllm
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-rfdetr
+- !!merge <<: *rfdetr
+  name: "intel-rfdetr"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-rfdetr"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-rfdetr
+# - !!merge <<: *rfdetr
+#   name: "rocm-rfdetr"
+#   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-hipblas-rfdetr"
+#   mirrors:
+#     - localai/localai-backends:latest-gpu-hipblas-rfdetr
+- !!merge <<: *rfdetr
+  name: "nvidia-l4t-arm64-rfdetr"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-rfdetr"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-arm64-rfdetr
+- !!merge <<: *rfdetr
+  name: "cpu-rfdetr"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-rfdetr"
+  mirrors:
+    - localai/localai-backends:latest-cpu-rfdetr
+- !!merge <<: *rfdetr
+  name: "cuda12-rfdetr-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-rfdetr"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-rfdetr
+- !!merge <<: *rfdetr
+  name: "intel-rfdetr-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-rfdetr"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-rfdetr
+# - !!merge <<: *rfdetr
+#   name: "rocm-rfdetr-development"
+#   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-hipblas-rfdetr"
+#   mirrors:
+#     - localai/localai-backends:master-gpu-hipblas-rfdetr
+- !!merge <<: *rfdetr
+  name: "cpu-rfdetr-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-rfdetr"
+  mirrors:
+    - localai/localai-backends:master-cpu-rfdetr
+- !!merge <<: *rfdetr
+  name: "intel-rfdetr"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-rfdetr"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-rfdetr
 ## Rerankers
 - !!merge <<: *rerankers
  name: "rerankers-development"
  capabilities:
    nvidia: "cuda12-rerankers-development"
-    intel: "intel-sycl-f16-rerankers-development"
+    intel: "intel-rerankers-development"
    amd: "rocm-rerankers-development"
 - !!merge <<: *rerankers
  name: "cuda11-rerankers"
@@ -681,15 +860,10 @@
  mirrors:
    - localai/localai-backends:latest-gpu-nvidia-cuda-12-rerankers
 - !!merge <<: *rerankers
-  name: "intel-sycl-f32-rerankers"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-rerankers"
+  name: "intel-rerankers"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-rerankers"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-rerankers
- !!merge <<: *rerankers
-  name: "intel-sycl-f16-rerankers"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-rerankers"
-  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-rerankers
+    - localai/localai-backends:latest-gpu-intel-rerankers
 - !!merge <<: *rerankers
  name: "rocm-rerankers"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-rerankers"
@@ -711,21 +885,16 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-rerankers
 - !!merge <<: *rerankers
-  name: "intel-sycl-f32-rerankers-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-rerankers"
+  name: "intel-rerankers-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-rerankers"
  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-rerankers
- !!merge <<: *rerankers
-  name: "intel-sycl-f16-rerankers-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-rerankers"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-rerankers
+    - localai/localai-backends:master-gpu-intel-rerankers
 ## Transformers
 - !!merge <<: *transformers
  name: "transformers-development"
  capabilities:
    nvidia: "cuda12-transformers-development"
-    intel: "intel-sycl-f16-transformers-development"
+    intel: "intel-transformers-development"
    amd: "rocm-transformers-development"
 - !!merge <<: *transformers
  name: "cuda12-transformers"
@@ -738,15 +907,10 @@
  mirrors:
    - localai/localai-backends:latest-gpu-rocm-hipblas-transformers
 - !!merge <<: *transformers
-  name: "intel-sycl-f32-transformers"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-transformers"
+  name: "intel-transformers"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-transformers"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-transformers
- !!merge <<: *transformers
-  name: "intel-sycl-f16-transformers"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-transformers"
-  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-transformers
+    - localai/localai-backends:latest-gpu-intel-transformers
 - !!merge <<: *transformers
  name: "cuda11-transformers-development"
  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-11-transformers"
@@ -768,22 +932,40 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-transformers
 - !!merge <<: *transformers
-  name: "intel-sycl-f32-transformers-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-transformers"
+  name: "intel-transformers-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-transformers"
  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-transformers
- !!merge <<: *transformers
-  name: "intel-sycl-f16-transformers-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-transformers"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-transformers
+    - localai/localai-backends:master-gpu-intel-transformers
 ## Diffusers
 - !!merge <<: *diffusers
  name: "diffusers-development"
  capabilities:
    nvidia: "cuda12-diffusers-development"
-    intel: "intel-sycl-f32-diffusers-development"
+    intel: "intel-diffusers-development"
    amd: "rocm-diffusers-development"
+    nvidia-l4t: "nvidia-l4t-diffusers-development"
+    metal: "metal-diffusers-development"
+    default: "cpu-diffusers-development"
+- !!merge <<: *diffusers
+  name: "cpu-diffusers"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-diffusers"
+  mirrors:
+    - localai/localai-backends:latest-cpu-diffusers
+- !!merge <<: *diffusers
+  name: "cpu-diffusers-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-diffusers"
+  mirrors:
+    - localai/localai-backends:master-cpu-diffusers
+- !!merge <<: *diffusers
+  name: "nvidia-l4t-diffusers"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-l4t-diffusers"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-l4t-diffusers
+- !!merge <<: *diffusers
+  name: "nvidia-l4t-diffusers-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-l4t-diffusers"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-l4t-diffusers
 - !!merge <<: *diffusers
  name: "cuda12-diffusers"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-diffusers"
@@ -800,10 +982,10 @@
  mirrors:
    - localai/localai-backends:latest-gpu-nvidia-cuda-11-diffusers
 - !!merge <<: *diffusers
-  name: "intel-sycl-f32-diffusers"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-diffusers"
+  name: "intel-diffusers"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-diffusers"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-diffusers
+    - localai/localai-backends:latest-gpu-intel-diffusers
 - !!merge <<: *diffusers
  name: "cuda11-diffusers-development"
  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-11-diffusers"
@@ -820,17 +1002,26 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-diffusers
 - !!merge <<: *diffusers
-  name: "intel-sycl-f32-diffusers-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-diffusers"
+  name: "intel-diffusers-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-diffusers"
  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-diffusers
+    - localai/localai-backends:master-gpu-intel-diffusers
+- !!merge <<: *diffusers
+  name: "metal-diffusers"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-diffusers"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-diffusers
+- !!merge <<: *diffusers
+  name: "metal-diffusers-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-diffusers"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-diffusers
  ## exllama2
 - !!merge <<: *exllama2
  name: "exllama2-development"
  capabilities:
    nvidia: "cuda12-exllama2-development"
-    intel: "intel-sycl-f32-exllama2-development"
-    amd: "rocm-exllama2-development"
+    intel: "intel-exllama2-development"
 - !!merge <<: *exllama2
  name: "cuda11-exllama2"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-11-exllama2"
@@ -856,7 +1047,7 @@
  name: "kokoro-development"
  capabilities:
    nvidia: "cuda12-kokoro-development"
-    intel: "intel-sycl-f32-kokoro-development"
+    intel: "intel-kokoro-development"
    amd: "rocm-kokoro-development"
 - !!merge <<: *kokoro
  name: "cuda11-kokoro-development"
@@ -874,25 +1065,15 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-kokoro
 - !!merge <<: *kokoro
-  name: "sycl-f32-kokoro"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-kokoro"
+  name: "intel-kokoro"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-kokoro"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-kokoro
+    - localai/localai-backends:latest-gpu-intel-kokoro
 - !!merge <<: *kokoro
-  name: "sycl-f16-kokoro"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-kokoro"
+  name: "intel-kokoro-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-kokoro"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-kokoro
- !!merge <<: *kokoro
-  name: "sycl-f16-kokoro-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-kokoro"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-kokoro
- !!merge <<: *kokoro
-  name: "sycl-f32-kokoro-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-kokoro"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-kokoro
+    - localai/localai-backends:master-gpu-intel-kokoro
 - !!merge <<: *kokoro
  name: "cuda11-kokoro"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-11-kokoro"
@@ -913,7 +1094,7 @@
  name: "faster-whisper-development"
  capabilities:
    nvidia: "cuda12-faster-whisper-development"
-    intel: "intel-sycl-f32-faster-whisper-development"
+    intel: "intel-faster-whisper-development"
    amd: "rocm-faster-whisper-development"
 - !!merge <<: *faster-whisper
  name: "cuda11-faster-whisper"
@@ -931,32 +1112,22 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-faster-whisper
 - !!merge <<: *faster-whisper
-  name: "sycl-f32-faster-whisper"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-faster-whisper"
+  name: "intel-faster-whisper"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-faster-whisper"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-faster-whisper
+    - localai/localai-backends:latest-gpu-intel-faster-whisper
 - !!merge <<: *faster-whisper
-  name: "sycl-f16-faster-whisper"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-faster-whisper"
+  name: "intel-faster-whisper-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-faster-whisper"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-faster-whisper
- !!merge <<: *faster-whisper
-  name: "sycl-f32-faster-whisper-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-faster-whisper"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-faster-whisper
- !!merge <<: *faster-whisper
-  name: "sycl-f16-faster-whisper-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-faster-whisper"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-faster-whisper
+    - localai/localai-backends:master-gpu-intel-faster-whisper
 ## coqui

 - !!merge <<: *coqui
  name: "coqui-development"
  capabilities:
    nvidia: "cuda12-coqui-development"
-    intel: "intel-sycl-f32-coqui-development"
+    intel: "intel-coqui-development"
    amd: "rocm-coqui-development"
 - !!merge <<: *coqui
  name: "cuda11-coqui"
@@ -984,25 +1155,15 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-coqui
 - !!merge <<: *coqui
-  name: "sycl-f32-coqui"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-coqui"
+  name: "intel-coqui"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-coqui"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-coqui
+    - localai/localai-backends:latest-gpu-intel-coqui
 - !!merge <<: *coqui
-  name: "sycl-f16-coqui"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-coqui"
+  name: "intel-coqui-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-coqui"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-coqui
- !!merge <<: *coqui
-  name: "sycl-f32-coqui-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-coqui"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-coqui
- !!merge <<: *coqui
-  name: "sycl-f16-coqui-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-coqui"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-coqui
+    - localai/localai-backends:master-gpu-intel-coqui
 - !!merge <<: *coqui
  name: "rocm-coqui"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-coqui"
@@ -1013,7 +1174,7 @@
  name: "bark-development"
  capabilities:
    nvidia: "cuda12-bark-development"
-    intel: "intel-sycl-f32-bark-development"
+    intel: "intel-bark-development"
    amd: "rocm-bark-development"
 - !!merge <<: *bark
  name: "cuda11-bark-development"
@@ -1031,25 +1192,15 @@
  mirrors:
    - localai/localai-backends:master-gpu-rocm-hipblas-bark
 - !!merge <<: *bark
-  name: "sycl-f32-bark"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-bark"
+  name: "intel-bark"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-bark"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-bark
+    - localai/localai-backends:latest-gpu-intel-bark
 - !!merge <<: *bark
-  name: "sycl-f16-bark"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-bark"
+  name: "intel-bark-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-bark"
  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-bark
- !!merge <<: *bark
-  name: "sycl-f32-bark-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-bark"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-bark
- !!merge <<: *bark
-  name: "sycl-f16-bark-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-bark"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-bark
+    - localai/localai-backends:master-gpu-intel-bark
 - !!merge <<: *bark
  name: "cuda12-bark"
  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-bark"
@@ -1074,6 +1225,28 @@
  name: "chatterbox-development"
  capabilities:
    nvidia: "cuda12-chatterbox-development"
+    metal: "metal-chatterbox-development"
+    default: "cpu-chatterbox-development"
+- !!merge <<: *chatterbox
+  name: "cpu-chatterbox"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-chatterbox"
+  mirrors:
+    - localai/localai-backends:latest-cpu-chatterbox
+- !!merge <<: *chatterbox
+  name: "cpu-chatterbox-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-chatterbox"
+  mirrors:
+    - localai/localai-backends:master-cpu-chatterbox
+- !!merge <<: *chatterbox
+  name: "metal-chatterbox"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-chatterbox"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-chatterbox
+- !!merge <<: *chatterbox
+  name: "metal-chatterbox-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-chatterbox"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-chatterbox
 - !!merge <<: *chatterbox
  name: "cuda12-chatterbox-development"
  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-chatterbox"
--- a/backend/python/README.md
+++ b/backend/python/README.md
@@ -1,38 +1,190 @@
-# Common commands about conda environment
+# Python Backends for LocalAI

-## Create a new empty conda environment
+This directory contains Python-based AI backends for LocalAI, providing support for various AI models and hardware acceleration targets.

-```
-conda create --name <env-name> python=<your version> -y
+## Overview

-conda create --name autogptq python=3.11 -y
+The Python backends use a unified build system based on `libbackend.sh` that provides:
+- **Automatic virtual environment management** with support for both `uv` and `pip`
+- **Hardware-specific dependency installation** (CPU, CUDA, Intel, MLX, etc.)
+- **Portable Python support** for standalone deployments
+- **Consistent backend execution** across different environments
+
+## Available Backends
+
+### Core AI Models
+- **transformers** - Hugging Face Transformers framework (PyTorch-based)
+- **vllm** - High-performance LLM inference engine
+- **mlx** - Apple Silicon optimized ML framework
+- **exllama2** - ExLlama2 quantized models
+
+### Audio & Speech
+- **bark** - Text-to-speech synthesis
+- **coqui** - Coqui TTS models
+- **faster-whisper** - Fast Whisper speech recognition
+- **kitten-tts** - Lightweight TTS
+- **mlx-audio** - Apple Silicon audio processing
+- **chatterbox** - TTS model
+- **kokoro** - TTS models
+
+### Computer Vision
+- **diffusers** - Stable Diffusion and image generation
+- **mlx-vlm** - Vision-language models for Apple Silicon
+- **rfdetr** - Object detection models
+
+### Specialized
+
+- **rerankers** - Text reranking models
+
+## Quick Start
+
+### Prerequisites
+- Python 3.10+ (default: 3.10.18)
+- `uv` package manager (recommended) or `pip`
+- Appropriate hardware drivers for your target (CUDA, Intel, etc.)
+
+### Installation
+
+Each backend can be installed individually:
+
+```bash
+# Navigate to a specific backend
+cd backend/python/transformers
+
+# Install dependencies
+make transformers
+# or
+bash install.sh
+
+# Run the backend
+make run
+# or
+bash run.sh
 ```

-## To activate the environment
+### Using the Unified Build System

-As of conda 4.4
-```
-conda activate autogptq
+The `libbackend.sh` script provides consistent commands across all backends:
+
+```bash
+# Source the library in your backend script
+source $(dirname $0)/../common/libbackend.sh
+
+# Install requirements (automatically handles hardware detection)
+installRequirements
+
+# Start the backend server
+startBackend $@
+
+# Run tests
+runUnittests
 ```

-The conda version older than 4.4
+## Hardware Targets

-```
-source activate autogptq
+The build system automatically detects and configures for different hardware:
+
+- **CPU** - Standard CPU-only builds
+- **CUDA** - NVIDIA GPU acceleration (supports CUDA 11/12)
+- **Intel** - Intel XPU/GPU optimization
+- **MLX** - Apple Silicon (M1/M2/M3) optimization
+- **HIP** - AMD GPU acceleration
+
+### Target-Specific Requirements
+
+Backends can specify hardware-specific dependencies:
+- `requirements.txt` - Base requirements
+- `requirements-cpu.txt` - CPU-specific packages
+- `requirements-cublas11.txt` - CUDA 11 packages
+- `requirements-cublas12.txt` - CUDA 12 packages
+- `requirements-intel.txt` - Intel-optimized packages
+- `requirements-mps.txt` - Apple Silicon packages
+
+## Configuration Options
+
+### Environment Variables
+
+- `PYTHON_VERSION` - Python version (default: 3.10)
+- `PYTHON_PATCH` - Python patch version (default: 18)
+- `BUILD_TYPE` - Force specific build target
+- `USE_PIP` - Use pip instead of uv (default: false)
+- `PORTABLE_PYTHON` - Enable portable Python builds
+- `LIMIT_TARGETS` - Restrict backend to specific targets
+
+### Example: CUDA 12 Only Backend
+
+```bash
+# In your backend script
+LIMIT_TARGETS="cublas12"
+source $(dirname $0)/../common/libbackend.sh
 ```

-## Install the packages to your environment
+### Example: Intel-Optimized Backend

-Sometimes you need to install the packages from the conda-forge channel
-
-By using `conda`
-```
-conda install <your-package-name>
-
-conda install -c conda-forge <your package-name>
+```bash
+# In your backend script
+LIMIT_TARGETS="intel"
+source $(dirname $0)/../common/libbackend.sh
 ```

-Or by using `pip`
+## Development
+
+### Adding a New Backend
+
+1. Create a new directory in `backend/python/`
+2. Copy the template structure from `common/template/`
+3. Implement your `backend.py` with the required gRPC interface
+4. Add appropriate requirements files for your target hardware
+5. Use `libbackend.sh` for consistent build and execution
+
+### Testing
+
+```bash
+# Run backend tests
+make test
+# or
+bash test.sh
 ```
-pip install <your-package-name>
+
+### Building
+
+```bash
+# Install dependencies
+make <backend-name>
+
+# Clean build artifacts
+make clean
 ```
+
+## Architecture
+
+Each backend follows a consistent structure:
+```
+backend-name/
+├── backend.py          # Main backend implementation
+├── requirements.txt    # Base dependencies
+├── requirements-*.txt  # Hardware-specific dependencies
+├── install.sh         # Installation script
+├── run.sh            # Execution script
+├── test.sh           # Test script
+├── Makefile          # Build targets
+└── test.py           # Unit tests
+```
+
+## Troubleshooting
+
+### Common Issues
+
+1. **Missing dependencies**: Ensure all requirements files are properly configured
+2. **Hardware detection**: Check that `BUILD_TYPE` matches your system
+3. **Python version**: Verify Python 3.10+ is available
+4. **Virtual environment**: Use `ensureVenv` to create/activate environments
+
+## Contributing
+
+When adding new backends or modifying existing ones:
+1. Follow the established directory structure
+2. Use `libbackend.sh` for consistent behavior
+3. Include appropriate requirements files for all target hardware
+4. Add comprehensive tests
+5. Update this README if adding new backend types
--- a/backend/python/bark/Makefile
+++ b/backend/python/bark/Makefile
@@ -1,29 +1,23 @@
 .PHONY: ttsbark
-ttsbark: protogen
+ttsbark:
 	bash install.sh

 .PHONY: run
-run: protogen
+run: ttsbark
 	@echo "Running bark..."
 	bash run.sh
 	@echo "bark run."

 .PHONY: test
-test: protogen
+test: ttsbark
 	@echo "Testing bark..."
 	bash test.sh
 	@echo "bark tested."

-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py
-
 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/backend/python/bark/requirements-intel.txt
+++ b/backend/python/bark/requirements-intel.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-intel-extension-for-pytorch==2.3.110+xpu
+intel-extension-for-pytorch==2.8.10+xpu
 torch==2.3.1+cxx11.abi
 torchaudio==2.3.1+cxx11.abi
 oneccl_bind_pt==2.3.100+xpu
--- a/backend/python/bark/requirements.txt
+++ b/backend/python/bark/requirements.txt
@@ -1,4 +1,4 @@
 bark==0.1.5
-grpcio==1.71.0
+grpcio==1.74.0
 protobuf
 certifi
--- a/backend/python/chatterbox/Makefile
+++ b/backend/python/chatterbox/Makefile
@@ -1,29 +1,23 @@
-.PHONY: coqui
-coqui: protogen
+.PHONY: chatterbox
+chatterbox:
 	bash install.sh

 .PHONY: run
-run: protogen
+run: chatterbox
 	@echo "Running coqui..."
 	bash run.sh
 	@echo "coqui run."

 .PHONY: test
-test: protogen
+test: chatterbox
 	@echo "Testing coqui..."
 	bash test.sh
 	@echo "coqui tested."

-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py
-
 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/backend/python/chatterbox/backend.py
+++ b/backend/python/chatterbox/backend.py
@@ -41,7 +41,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
        else:
            print("CUDA is not available", file=sys.stderr)
            device = "cpu"
-
+        mps_available = hasattr(torch.backends, "mps") and torch.backends.mps.is_available()
+        if mps_available:
+            device = "mps"
        if not torch.cuda.is_available() and request.CUDA:
            return backend_pb2.Result(success=False, message="CUDA is not available")

--- a/backend/python/chatterbox/requirements-cpu.txt
+++ b/backend/python/chatterbox/requirements-cpu.txt
@@ -1,5 +1,6 @@
+--extra-index-url https://download.pytorch.org/whl/cpu
 accelerate
 torch==2.6.0
 torchaudio==2.6.0
 transformers==4.46.3
-chatterbox-tts
+chatterbox-tts==0.1.2
--- a/backend/python/chatterbox/requirements-cublas11.txt
+++ b/backend/python/chatterbox/requirements-cublas11.txt
@@ -2,5 +2,5 @@
 torch==2.6.0+cu118
 torchaudio==2.6.0+cu118
 transformers==4.46.3
-chatterbox-tts
+chatterbox-tts==0.1.2
 accelerate
--- a/backend/python/chatterbox/requirements-cublas12.txt
+++ b/backend/python/chatterbox/requirements-cublas12.txt
@@ -1,5 +1,5 @@
 torch==2.6.0
 torchaudio==2.6.0
 transformers==4.46.3
-chatterbox-tts
+chatterbox-tts==0.1.2
 accelerate
--- a/backend/python/chatterbox/requirements-hipblas.txt
+++ b/backend/python/chatterbox/requirements-hipblas.txt
@@ -2,5 +2,5 @@
 torch==2.6.0+rocm6.1
 torchaudio==2.6.0+rocm6.1
 transformers==4.46.3
-chatterbox-tts
+chatterbox-tts==0.1.2
 accelerate
--- a/backend/python/chatterbox/requirements-intel.txt
+++ b/backend/python/chatterbox/requirements-intel.txt
@@ -3,9 +3,8 @@ intel-extension-for-pytorch==2.3.110+xpu
 torch==2.3.1+cxx11.abi
 torchaudio==2.3.1+cxx11.abi
 transformers==4.46.3
-chatterbox-tts
+chatterbox-tts==0.1.2
 accelerate
 oneccl_bind_pt==2.3.100+xpu
 optimum[openvino]
-setuptools
-accelerate
+setuptools
--- a/backend/python/common/libbackend.sh
+++ b/backend/python/common/libbackend.sh
@@ -1,6 +1,6 @@
+#!/usr/bin/env bash
+set -euo pipefail

-
-# init handles the setup of the library
 # 
 # use the library by adding the following line to a script:
 # source $(dirname $0)/../common/libbackend.sh
@@ -17,29 +17,182 @@
 # LIMIT_TARGETS="cublas12"
 # source $(dirname $0)/../common/libbackend.sh
 #
+# You can switch between uv (conda-like) and pip installation methods by setting USE_PIP:
+# USE_PIP=true source $(dirname $0)/../common/libbackend.sh
+#
+# ===================== user-configurable defaults =====================
+PYTHON_VERSION="${PYTHON_VERSION:-3.10}"      # e.g. 3.10 / 3.11 / 3.12 / 3.13
+PYTHON_PATCH="${PYTHON_PATCH:-18}"            # e.g. 18 -> 3.10.18 ; 13 -> 3.11.13
+PY_STANDALONE_TAG="${PY_STANDALONE_TAG:-20250818}"  # release tag date
+# Enable/disable bundling of a portable Python build
+PORTABLE_PYTHON="${PORTABLE_PYTHON:-false}"

-PYTHON_VERSION="3.10"
+# If you want to fully pin the filename (including tuned CPU targets), set:
+# PORTABLE_PY_FILENAME="cpython-3.10.18+20250818-x86_64_v3-unknown-linux-gnu-install_only.tar.gz"
+: "${PORTABLE_PY_FILENAME:=}"
+: "${PORTABLE_PY_SHA256:=}"  # optional; if set we verify the download
+# =====================================================================

+# Default to uv if USE_PIP is not set
+if [ "x${USE_PIP:-}" == "x" ]; then
+    USE_PIP=false
+fi
+
+# ----------------------- helpers -----------------------
+function _is_musl() {
+    # detect musl (Alpine, etc)
+    if command -v ldd >/dev/null 2>&1; then
+        ldd --version 2>&1 | grep -qi musl && return 0
+    fi
+    # busybox-ish fallback
+    if command -v getconf >/dev/null 2>&1; then
+        getconf GNU_LIBC_VERSION >/dev/null 2>&1 || return 0
+    fi
+    return 1
+}
+
+function _triple() {
+    local os="" arch="" libc="gnu"
+    case "$(uname -s)" in
+        Linux*)  os="unknown-linux" ;;
+        Darwin*) os="apple-darwin" ;;
+        MINGW*|MSYS*|CYGWIN*) os="pc-windows-msvc" ;;  # best-effort for Git Bash
+        *) echo "Unsupported OS $(uname -s)"; exit 1;;
+    esac
+
+    case "$(uname -m)" in
+        x86_64) arch="x86_64" ;;
+        aarch64|arm64) arch="aarch64" ;;
+        armv7l) arch="armv7" ;;
+        i686|i386) arch="i686" ;;
+        ppc64le) arch="ppc64le" ;;
+        s390x) arch="s390x" ;;
+        riscv64) arch="riscv64" ;;
+        *) echo "Unsupported arch $(uname -m)"; exit 1;;
+    esac
+
+    if [[ "$os" == "unknown-linux" ]]; then
+        if _is_musl; then
+            libc="musl"
+        else
+            libc="gnu"
+        fi
+        echo "${arch}-${os}-${libc}"
+    else
+        echo "${arch}-${os}"
+    fi
+}
+
+function _portable_dir() {
+    echo "${EDIR}/python"
+}
+
+function _portable_bin() {
+    # python-build-standalone puts python in ./bin
+    echo "$(_portable_dir)/bin"
+}
+
+function _portable_python() {
+    if [ -x "$(_portable_bin)/python3" ]; then
+        echo "$(_portable_bin)/python3"
+    else
+        echo "$(_portable_bin)/python"
+    fi
+}
+
+
+# macOS loader env for the portable CPython
+_macosPortableEnv() {
+  if [ "$(uname -s)" = "Darwin" ]; then
+    export DYLD_LIBRARY_PATH="$(_portable_dir)/lib${DYLD_LIBRARY_PATH:+:${DYLD_LIBRARY_PATH}}"
+    export DYLD_FALLBACK_LIBRARY_PATH="$(_portable_dir)/lib${DYLD_FALLBACK_LIBRARY_PATH:+:${DYLD_FALLBACK_LIBRARY_PATH}}"
+  fi
+}
+
+# Good hygiene on macOS for downloaded/extracted trees
+_unquarantinePortablePython() {
+  if [ "$(uname -s)" = "Darwin" ]; then
+    command -v xattr >/dev/null 2>&1 && xattr -dr com.apple.quarantine "$(_portable_dir)" || true
+  fi
+}
+
+# ------------------ ### PORTABLE PYTHON ------------------
+function ensurePortablePython() {
+    local pdir="$(_portable_dir)"
+    local pbin="$(_portable_bin)"
+    local pyexe
+
+    if [ -x "${pbin}/python3" ] || [ -x "${pbin}/python" ]; then
+        _macosPortableEnv
+        return 0
+    fi
+
+    mkdir -p "${pdir}"
+    local triple="$(_triple)"
+
+    local full_ver="${PYTHON_VERSION}.${PYTHON_PATCH}"
+    local fn=""
+    if [ -n "${PORTABLE_PY_FILENAME}" ]; then
+        fn="${PORTABLE_PY_FILENAME}"
+    else
+        # generic asset name: cpython-<full_ver>+<tag>-<triple>-install_only.tar.gz
+        fn="cpython-${full_ver}+${PY_STANDALONE_TAG}-${triple}-install_only.tar.gz"
+    fi
+
+    local url="https://github.com/astral-sh/python-build-standalone/releases/download/${PY_STANDALONE_TAG}/${fn}"
+    local tmp="${pdir}/${fn}"
+    echo "Downloading portable Python: ${fn}"
+    # curl with retries; fall back to wget if needed
+    if command -v curl >/dev/null 2>&1; then
+        curl -L --fail --retry 3 --retry-delay 1 -o "${tmp}" "${url}"
+    else
+        wget -O "${tmp}" "${url}"
+    fi
+
+    if [ -n "${PORTABLE_PY_SHA256}" ]; then
+        echo "${PORTABLE_PY_SHA256}  ${tmp}" | sha256sum -c -
+    fi
+
+    echo "Extracting ${fn} -> ${pdir}"
+    # always a .tar.gz (we purposely choose install_only)
+    tar -xzf "${tmp}" -C "${pdir}"
+    rm -f "${tmp}"
+
+    # Some archives nest a directory; if so, flatten to ${pdir}
+    # Find the first dir with a 'bin/python*'
+    local inner
+    inner="$(find "${pdir}" -type f -path "*/bin/python*" -maxdepth 3 2>/dev/null | head -n1 || true)"
+    if [ -n "${inner}" ]; then
+        local inner_root
+        inner_root="$(dirname "$(dirname "${inner}")")" # .../bin -> root
+        if [ "${inner_root}" != "${pdir}" ]; then
+            # move contents up one level
+            shopt -s dotglob
+            mv "${inner_root}/"* "${pdir}/"
+            rm -rf "${inner_root}"
+            shopt -u dotglob
+        fi
+    fi
+
+    _unquarantinePortablePython
+    _macosPortableEnv
+    # Make sure it's runnable
+    pyexe="$(_portable_python)"
+    "${pyexe}" -V
+}
+
+# init handles the setup of the library
 function init() {
-    # Name of the backend (directory name)
    BACKEND_NAME=${PWD##*/}
-
-    # Path where all backends files are
-    MY_DIR=$(realpath `dirname $0`)
-
-    # Build type
+    MY_DIR=$(realpath "$(dirname "$0")")
    BUILD_PROFILE=$(getBuildProfile)

-    # Environment directory
    EDIR=${MY_DIR}
-
-    # Allow to specify a custom env dir for shared environments
-    if [ "x${ENV_DIR}" != "x" ]; then
+    if [ "x${ENV_DIR:-}" != "x" ]; then
        EDIR=${ENV_DIR}
    fi

-    # If a backend has defined a list of valid build profiles...
-    if [ ! -z "${LIMIT_TARGETS}" ]; then
+    if [ ! -z "${LIMIT_TARGETS:-}" ]; then
        isValidTarget=$(checkTargets ${LIMIT_TARGETS})
        if [ ${isValidTarget} != true ]; then
            echo "${BACKEND_NAME} can only be used on the following targets: ${LIMIT_TARGETS}"
@@ -50,6 +203,7 @@ function init() {
    echo "Initializing libbackend for ${BACKEND_NAME}"
 }

+
 # getBuildProfile will inspect the system to determine which build profile is appropriate:
 # returns one of the following:
 # - cublas11
@@ -57,53 +211,140 @@ function init() {
 # - hipblas
 # - intel
 function getBuildProfile() {
-    # First check if we are a cublas build, and if so report the correct build profile
-    if [ x"${BUILD_TYPE}" == "xcublas" ]; then
-        if [ ! -z ${CUDA_MAJOR_VERSION} ]; then
-            # If we have been given a CUDA version, we trust it
+    if [ x"${BUILD_TYPE:-}" == "xcublas" ]; then
+        if [ ! -z "${CUDA_MAJOR_VERSION:-}" ]; then
            echo ${BUILD_TYPE}${CUDA_MAJOR_VERSION}
        else
-            # We don't know what version of cuda we are, so we report ourselves as a generic cublas
            echo ${BUILD_TYPE}
        fi
        return 0
    fi

-    # If /opt/intel exists, then we are doing an intel/ARC build
    if [ -d "/opt/intel" ]; then
        echo "intel"
        return 0
    fi

-    # If for any other values of BUILD_TYPE, we don't need any special handling/discovery
-    if [ ! -z ${BUILD_TYPE} ]; then
+    if [ -n "${BUILD_TYPE:-}" ]; then
        echo ${BUILD_TYPE}
        return 0
    fi

-    # If there is no BUILD_TYPE set at all, set a build-profile value of CPU, we aren't building for any GPU targets
    echo "cpu"
 }

+
+# Make the venv relocatable:
+# - rewrite venv/bin/python{,3} to relative symlinks into $(_portable_dir)
+# - normalize entrypoint shebangs to /usr/bin/env python3
+_makeVenvPortable() {
+    local venv_dir="${EDIR}/venv"
+    local vbin="${venv_dir}/bin"
+
+    [ -d "${vbin}" ] || return 0
+
+    # 1) Replace python symlinks with relative ones to ../../python/bin/python3
+    #    (venv/bin -> venv -> EDIR -> python/bin)
+    local rel_py='../../python/bin/python3'
+
+    for name in python3 python; do
+        if [ -e "${vbin}/${name}" ] || [ -L "${vbin}/${name}" ]; then
+            rm -f "${vbin}/${name}"
+        fi
+    done
+    ln -s "${rel_py}" "${vbin}/python3"
+    ln -s "python3" "${vbin}/python"
+
+    # 2) Rewrite shebangs of entry points to use env, so the venv is relocatable
+    #    Only touch text files that start with #! and reference the current venv.
+    local ve_abs="${vbin}/python"
+    local sed_i=(sed -i)
+    # macOS/BSD sed needs a backup suffix; GNU sed doesn't. Make it portable:
+    if sed --version >/dev/null 2>&1; then
+        sed_i=(sed -i)
+    else
+        sed_i=(sed -i '')
+    fi
+
+    for f in "${vbin}"/*; do
+        [ -f "$f" ] || continue
+        # Fast path: check first two bytes (#!)
+        head -c2 "$f" 2>/dev/null | grep -q '^#!' || continue
+        # Only rewrite if the shebang mentions the (absolute) venv python
+        if head -n1 "$f" | grep -Fq "${ve_abs}"; then
+            "${sed_i[@]}" '1s|^#!.*$|#!/usr/bin/env python3|' "$f"
+            chmod +x "$f" 2>/dev/null || true
+        fi
+    done
+}
+
+
 # ensureVenv makes sure that the venv for the backend both exists, and is activated.
 #
 # This function is idempotent, so you can call it as many times as you want and it will
 # always result in an activated virtual environment
 function ensureVenv() {
+    local interpreter=""
+
+    if [ "x${PORTABLE_PYTHON}" == "xtrue" ] || [ -e "$(_portable_python)" ]; then
+        echo "Using portable Python"
+        ensurePortablePython
+        interpreter="$(_portable_python)"
+    else
+        # Prefer system python${PYTHON_VERSION}, else python3, else fall back to bundled
+        if command -v python${PYTHON_VERSION} >/dev/null 2>&1; then
+            interpreter="python${PYTHON_VERSION}"
+        elif command -v python3 >/dev/null 2>&1; then
+            interpreter="python3"
+        else
+            echo "No suitable system Python found, bootstrapping portable build..."
+            ensurePortablePython
+            interpreter="$(_portable_python)"
+        fi
+    fi
+
    if [ ! -d "${EDIR}/venv" ]; then
-        uv venv --python ${PYTHON_VERSION} ${EDIR}/venv
-        echo "virtualenv created"
+        if [ "x${USE_PIP}" == "xtrue" ]; then
+            "${interpreter}" -m venv --copies "${EDIR}/venv"
+            source "${EDIR}/venv/bin/activate"
+            "${interpreter}" -m pip install --upgrade pip
+        else
+            if [ "x${PORTABLE_PYTHON}" == "xtrue" ]; then
+                uv venv --python "${interpreter}" "${EDIR}/venv"
+            else
+                uv venv --python "${PYTHON_VERSION}" "${EDIR}/venv"
+            fi
+        fi
+        if [ "x${PORTABLE_PYTHON}" == "xtrue" ]; then
+            _makeVenvPortable
+        fi
    fi

-    # Source if we are not already in a Virtual env
-    if [ "x${VIRTUAL_ENV}" != "x${EDIR}/venv" ]; then
-        source ${EDIR}/venv/bin/activate
-        echo "virtualenv activated"
+    # We call it here to make sure that when we source a venv we can still use python as expected
+    if [ -x "$(_portable_python)" ]; then
+        _macosPortableEnv
    fi

-    echo "activated virtualenv has been ensured"
+    if [ "x${VIRTUAL_ENV:-}" != "x${EDIR}/venv" ]; then
+        source "${EDIR}/venv/bin/activate"
+    fi
 }

+
+function runProtogen() {
+    ensureVenv
+    if [ "x${USE_PIP}" == "xtrue" ]; then
+        pip install grpcio-tools
+    else
+        uv pip install grpcio-tools
+    fi
+    pushd "${EDIR}" >/dev/null
+        # use the venv python (ensures correct interpreter & sys.path)
+        python -m grpc_tools.protoc -I../../ -I./ --python_out=. --grpc_python_out=. backend.proto
+    popd >/dev/null
+}
+
+
 # installRequirements looks for several requirements files and if they exist runs the install for them in order
 #
 #  - requirements-install.txt
@@ -111,7 +352,7 @@ function ensureVenv() {
 #  - requirements-${BUILD_TYPE}.txt
 #  - requirements-${BUILD_PROFILE}.txt
 #
-# BUILD_PROFILE is a pore specific version of BUILD_TYPE, ex: cuda11 or cuda12
+# BUILD_PROFILE is a more specific version of BUILD_TYPE, ex: cuda-11 or cuda-12
 # it can also include some options that we do not have BUILD_TYPES for, ex: intel
 #
 # NOTE: for BUILD_PROFILE==intel, this function does NOT automatically use the Intel python package index.
@@ -127,36 +368,41 @@ function ensureVenv() {
 # installRequirements
 function installRequirements() {
    ensureVenv
-
-    # These are the requirements files we will attempt to install, in order
    declare -a requirementFiles=(
        "${EDIR}/requirements-install.txt"
        "${EDIR}/requirements.txt"
-        "${EDIR}/requirements-${BUILD_TYPE}.txt"
+        "${EDIR}/requirements-${BUILD_TYPE:-}.txt"
    )

-    if [ "x${BUILD_TYPE}" != "x${BUILD_PROFILE}" ]; then
+    if [ "x${BUILD_TYPE:-}" != "x${BUILD_PROFILE}" ]; then
        requirementFiles+=("${EDIR}/requirements-${BUILD_PROFILE}.txt")
    fi
-
-    # if BUILD_TYPE is empty, we are a CPU build, so we should try to install the CPU requirements
-    if [ "x${BUILD_TYPE}" == "x" ]; then
+    if [ "x${BUILD_TYPE:-}" == "x" ]; then
        requirementFiles+=("${EDIR}/requirements-cpu.txt")
    fi
-
    requirementFiles+=("${EDIR}/requirements-after.txt")
-
-    if [ "x${BUILD_TYPE}" != "x${BUILD_PROFILE}" ]; then
+    if [ "x${BUILD_TYPE:-}" != "x${BUILD_PROFILE}" ]; then
        requirementFiles+=("${EDIR}/requirements-${BUILD_PROFILE}-after.txt")
    fi

+    # This is needed to build wheels that e.g. depends on Python.h
+    if [ "x${PORTABLE_PYTHON}" == "xtrue" ]; then
+        export C_INCLUDE_PATH="${C_INCLUDE_PATH:-}:$(_portable_dir)/include/python${PYTHON_VERSION}"
+    fi
+
    for reqFile in ${requirementFiles[@]}; do
-        if [ -f ${reqFile} ]; then
+        if [ -f "${reqFile}" ]; then
            echo "starting requirements install for ${reqFile}"
-            uv pip install ${EXTRA_PIP_INSTALL_FLAGS} --requirement ${reqFile}
+            if [ "x${USE_PIP}" == "xtrue" ]; then
+                pip install ${EXTRA_PIP_INSTALL_FLAGS:-} --requirement "${reqFile}"
+            else
+                uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} --requirement "${reqFile}"
+            fi
            echo "finished requirements install for ${reqFile}"
        fi
    done
+
+    runProtogen
 }

 # startBackend discovers and runs the backend GRPC server
@@ -174,18 +420,18 @@ function installRequirements() {
 #  - ${BACKEND_NAME}.py
 function startBackend() {
    ensureVenv
-
-    if [ ! -z ${BACKEND_FILE} ]; then
-        exec ${EDIR}/venv/bin/python ${BACKEND_FILE} $@
+    if [ ! -z "${BACKEND_FILE:-}" ]; then
+        exec "${EDIR}/venv/bin/python" "${BACKEND_FILE}" "$@"
    elif [ -e "${MY_DIR}/server.py" ]; then
-        exec ${EDIR}/venv/bin/python ${MY_DIR}/server.py $@
+        exec "${EDIR}/venv/bin/python" "${MY_DIR}/server.py" "$@"
    elif [ -e "${MY_DIR}/backend.py" ]; then
-        exec ${EDIR}/venv/bin/python ${MY_DIR}/backend.py $@
+        exec "${EDIR}/venv/bin/python" "${MY_DIR}/backend.py" "$@"
    elif [ -e "${MY_DIR}/${BACKEND_NAME}.py" ]; then
-        exec ${EDIR}/venv/bin/python ${MY_DIR}/${BACKEND_NAME}.py $@
+        exec "${EDIR}/venv/bin/python" "${MY_DIR}/${BACKEND_NAME}.py" "$@"
    fi
 }

+
 # runUnittests discovers and runs python unittests
 #
 # You can specify a specific test file to use by setting TEST_FILE before calling runUnittests.
@@ -198,41 +444,36 @@ function startBackend() {
 # be default a file named test.py in the backends directory will be used
 function runUnittests() {
    ensureVenv
-
-    if [ ! -z ${TEST_FILE} ]; then
-        testDir=$(dirname `realpath ${TEST_FILE}`)
-        testFile=$(basename ${TEST_FILE})
-        pushd ${testDir}
-        python -m unittest ${testFile}
-        popd
+    if [ ! -z "${TEST_FILE:-}" ]; then
+        testDir=$(dirname "$(realpath "${TEST_FILE}")")
+        testFile=$(basename "${TEST_FILE}")
+        pushd "${testDir}" >/dev/null
+        python -m unittest "${testFile}"
+        popd >/dev/null
    elif [ -f "${MY_DIR}/test.py" ]; then
-        pushd ${MY_DIR}
+        pushd "${MY_DIR}" >/dev/null
        python -m unittest test.py
-        popd
+        popd >/dev/null
    else
        echo "no tests defined for ${BACKEND_NAME}"
    fi
 }

+
 ##################################################################################
 # Below here are helper functions not intended to be used outside of the library #
 ##################################################################################

 # checkTargets determines if the current BUILD_TYPE or BUILD_PROFILE is in a list of valid targets
 function checkTargets() {
-    # Collect all provided targets into a variable and...
    targets=$@
-    # ...convert it into an array
    declare -a targets=($targets)
-
    for target in ${targets[@]}; do
-        if [ "x${BUILD_TYPE}" == "x${target}" ]; then
-            echo true
-            return 0
+        if [ "x${BUILD_TYPE:-}" == "x${target}" ]; then
+            echo true; return 0
        fi
        if [ "x${BUILD_PROFILE}" == "x${target}" ]; then
-            echo true
-            return 0
+            echo true; return 0
        fi
    done
    echo false
--- a/backend/python/common/template/Makefile
+++ b/backend/python/common/template/Makefile
@@ -3,18 +3,11 @@
 .PHONY: install
 install:
 	bash install.sh
-	$(MAKE) protogen
-
-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py

 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	bash protogen.sh
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/backend/python/common/template/protogen.sh
+++ b/backend/python/common/template/protogen.sh
@@ -8,4 +8,4 @@ else
    source $backend_dir/../common/libbackend.sh
 fi

-python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
+runProtogen
--- a/backend/python/common/template/requirements-intel.txt
+++ b/backend/python/common/template/requirements-intel.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-intel-extension-for-pytorch==2.3.110+xpu
-torch==2.3.1+cxx11.abi
-oneccl_bind_pt==2.3.100+xpu
+intel-extension-for-pytorch==2.8.10+xpu
+torch==2.8.0
+oneccl_bind_pt==2.8.0+xpu
 optimum[openvino]
--- a/backend/python/common/template/requirements.txt
+++ b/backend/python/common/template/requirements.txt
@@ -1,3 +1,3 @@
-grpcio==1.71.0
+grpcio==1.74.0
 protobuf
 grpcio-tools
--- a/backend/python/coqui/Makefile
+++ b/backend/python/coqui/Makefile
@@ -1,29 +1,23 @@
 .PHONY: coqui
-coqui: protogen
+coqui:
 	bash install.sh

 .PHONY: run
-run: protogen
+run: coqui
 	@echo "Running coqui..."
 	bash run.sh
 	@echo "coqui run."

 .PHONY: test
-test: protogen
+test: coqui
 	@echo "Testing coqui..."
 	bash test.sh
 	@echo "coqui tested."

-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py
-
 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/backend/python/coqui/backend.py
+++ b/backend/python/coqui/backend.py
@@ -40,7 +40,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
        else:
            print("CUDA is not available", file=sys.stderr)
            device = "cpu"
-
+        mps_available = hasattr(torch.backends, "mps") and torch.backends.mps.is_available()
+        if mps_available:
+            device = "mps"
        if not torch.cuda.is_available() and request.CUDA:
            return backend_pb2.Result(success=False, message="CUDA is not available")

--- a/backend/python/coqui/requirements.txt
+++ b/backend/python/coqui/requirements.txt
@@ -1,4 +1,4 @@
-grpcio==1.71.0
+grpcio==1.74.0
 protobuf
 certifi
 packaging==24.1
--- a/backend/python/diffusers/Makefile
+++ b/backend/python/diffusers/Makefile
@@ -12,28 +12,22 @@ export SKIP_CONDA=1
 endif

 .PHONY: diffusers
-diffusers: protogen
+diffusers:
 	bash install.sh

 .PHONY: run
-run: protogen
+run: diffusers
 	@echo "Running diffusers..."
 	bash run.sh
 	@echo "Diffusers run."

-test: protogen
+test: diffusers
 	bash test.sh

-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py
-
 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/backend/python/diffusers/backend.py
+++ b/backend/python/diffusers/backend.py
@@ -18,7 +18,7 @@ import backend_pb2_grpc
 import grpc

 from diffusers import SanaPipeline, StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, \
-    EulerAncestralDiscreteScheduler, FluxPipeline, FluxTransformer2DModel
+    EulerAncestralDiscreteScheduler, FluxPipeline, FluxTransformer2DModel, QwenImageEditPipeline, AutoencoderKLWan, WanPipeline, WanImageToVideoPipeline
 from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline, Lumina2Text2ImgPipeline
 from diffusers.pipelines.stable_diffusion import safety_checker
 from diffusers.utils import load_image, export_to_video
@@ -65,6 +65,12 @@ from diffusers.schedulers import (
    UniPCMultistepScheduler,
 )

+def is_float(s):
+    try:
+        float(s)
+        return True
+    except ValueError:
+        return False

 # The scheduler list mapping was taken from here: https://github.com/neggles/animatediff-cli/blob/6f336f5f4b5e38e85d7f06f1744ef42d0a45f2a7/src/animatediff/schedulers.py#L39
 # Credits to https://github.com/neggles
@@ -169,8 +175,25 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
                if ":" not in opt:
                    continue
                key, value = opt.split(":")
+                # if value is a number, convert it to the appropriate type
+                if is_float(value):
+                    if value.is_integer():
+                        value = int(value)
+                    else:
+                        value = float(value)
                self.options[key] = value

+            # From options, extract if present "torch_dtype" and set it to the appropriate type
+            if "torch_dtype" in self.options:
+                if self.options["torch_dtype"] == "fp16":
+                    torchType = torch.float16
+                elif self.options["torch_dtype"] == "bf16":
+                    torchType = torch.bfloat16
+                elif self.options["torch_dtype"] == "fp32":
+                    torchType = torch.float32
+                # remove it from options
+                del self.options["torch_dtype"]
+
            print(f"Options: {self.options}", file=sys.stderr)

            local = False
@@ -234,6 +257,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
            elif request.PipelineType == "DiffusionPipeline":
                self.pipe = DiffusionPipeline.from_pretrained(request.Model,
                                                              torch_dtype=torchType)
+            elif request.PipelineType == "QwenImageEditPipeline":
+                self.pipe = QwenImageEditPipeline.from_pretrained(request.Model,
+                                                                 torch_dtype=torchType)
            elif request.PipelineType == "VideoDiffusionPipeline":
                self.txt2vid = True
                self.pipe = DiffusionPipeline.from_pretrained(request.Model,
@@ -302,6 +328,32 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
                    torch_dtype=torch.bfloat16)
                self.pipe.vae.to(torch.bfloat16)
                self.pipe.text_encoder.to(torch.bfloat16)
+            elif request.PipelineType == "WanPipeline":
+                # WAN2.2 pipeline requires special VAE handling
+                vae = AutoencoderKLWan.from_pretrained(
+                    request.Model, 
+                    subfolder="vae", 
+                    torch_dtype=torch.float32
+                )
+                self.pipe = WanPipeline.from_pretrained(
+                    request.Model,
+                    vae=vae,
+                    torch_dtype=torchType
+                )
+                self.txt2vid = True  # WAN2.2 is a text-to-video pipeline
+            elif request.PipelineType == "WanImageToVideoPipeline":
+                # WAN2.2 image-to-video pipeline
+                vae = AutoencoderKLWan.from_pretrained(
+                    request.Model, 
+                    subfolder="vae", 
+                    torch_dtype=torch.float32
+                )
+                self.pipe = WanImageToVideoPipeline.from_pretrained(
+                    request.Model,
+                    vae=vae,
+                    torch_dtype=torchType
+                )
+                self.img2vid = True  # WAN2.2 image-to-video pipeline

            if CLIPSKIP and request.CLIPSkip != 0:
                self.clip_skip = request.CLIPSkip
@@ -336,6 +388,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
            device = "cpu" if not request.CUDA else "cuda"
            if XPU:
                device = "xpu"
+            mps_available = hasattr(torch.backends, "mps") and torch.backends.mps.is_available()
+            if mps_available:
+                device = "mps"
            self.device = device
            if request.LoraAdapter:
                # Check if its a local file and not a directory ( we load lora differently for a safetensor file )
@@ -440,11 +495,24 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
            "num_inference_steps": steps,
        }

-        if request.src != "" and not self.controlnet and not self.img2vid:
-            image = Image.open(request.src)
+        # Handle image source: prioritize RefImages over request.src
+        image_src = None
+        if hasattr(request, 'ref_images') and request.ref_images and len(request.ref_images) > 0:
+            # Use the first reference image if available
+            image_src = request.ref_images[0]
+            print(f"Using reference image: {image_src}", file=sys.stderr)
+        elif request.src != "":
+            # Fall back to request.src if no ref_images
+            image_src = request.src
+            print(f"Using source image: {image_src}", file=sys.stderr)
+        else:
+            print("No image source provided", file=sys.stderr)
+        
+        if image_src and not self.controlnet and not self.img2vid:
+            image = Image.open(image_src)
            options["image"] = image
-        elif self.controlnet and request.src:
-            pose_image = load_image(request.src)
+        elif self.controlnet and image_src:
+            pose_image = load_image(image_src)
            options["image"] = pose_image

        if CLIPSKIP and self.clip_skip != 0:
@@ -486,7 +554,11 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):

        if self.img2vid:
            # Load the conditioning image
-            image = load_image(request.src)
+            if image_src:
+                image = load_image(image_src)
+            else:
+                # Fallback to request.src for img2vid if no ref_images
+                image = load_image(request.src)
            image = image.resize((1024, 576))

            generator = torch.manual_seed(request.seed)
@@ -523,6 +595,96 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):

        return backend_pb2.Result(message="Media generated", success=True)

+    def GenerateVideo(self, request, context):
+        try:
+            prompt = request.prompt
+            if not prompt:
+                return backend_pb2.Result(success=False, message="No prompt provided for video generation")
+
+            # Set default values from request or use defaults
+            num_frames = request.num_frames if request.num_frames > 0 else 81
+            fps = request.fps if request.fps > 0 else 16
+            cfg_scale = request.cfg_scale if request.cfg_scale > 0 else 4.0
+            num_inference_steps = request.step if request.step > 0 else 40
+            
+            # Prepare generation parameters
+            kwargs = {
+                "prompt": prompt,
+                "negative_prompt": request.negative_prompt if request.negative_prompt else "",
+                "height": request.height if request.height > 0 else 720,
+                "width": request.width if request.width > 0 else 1280,
+                "num_frames": num_frames,
+                "guidance_scale": cfg_scale,
+                "num_inference_steps": num_inference_steps,
+            }
+
+            # Add custom options from self.options (including guidance_scale_2 if specified)
+            kwargs.update(self.options)
+
+            # Set seed if provided
+            if request.seed > 0:
+                kwargs["generator"] = torch.Generator(device=self.device).manual_seed(request.seed)
+
+            # Handle start and end images for video generation
+            if request.start_image:
+                kwargs["start_image"] = load_image(request.start_image)
+            if request.end_image:
+                kwargs["end_image"] = load_image(request.end_image)
+
+            print(f"Generating video with {kwargs=}", file=sys.stderr)
+
+            # Generate video frames based on pipeline type
+            if self.PipelineType == "WanPipeline":
+                # WAN2.2 text-to-video generation
+                output = self.pipe(**kwargs)
+                frames = output.frames[0]  # WAN2.2 returns frames in this format
+            elif self.PipelineType == "WanImageToVideoPipeline":
+                # WAN2.2 image-to-video generation
+                if request.start_image:
+                    # Load and resize the input image according to WAN2.2 requirements
+                    image = load_image(request.start_image)
+                    # Use request dimensions or defaults, but respect WAN2.2 constraints
+                    request_height = request.height if request.height > 0 else 480
+                    request_width = request.width if request.width > 0 else 832
+                    max_area = request_height * request_width
+                    aspect_ratio = image.height / image.width
+                    mod_value = self.pipe.vae_scale_factor_spatial * self.pipe.transformer.config.patch_size[1]
+                    height = round((max_area * aspect_ratio) ** 0.5 / mod_value) * mod_value
+                    width = round((max_area / aspect_ratio) ** 0.5 / mod_value) * mod_value
+                    image = image.resize((width, height))
+                    kwargs["image"] = image
+                    kwargs["height"] = height
+                    kwargs["width"] = width
+                
+                output = self.pipe(**kwargs)
+                frames = output.frames[0]
+            elif self.img2vid:
+                # Generic image-to-video generation
+                if request.start_image:
+                    image = load_image(request.start_image)
+                    image = image.resize((request.width if request.width > 0 else 1024, 
+                                       request.height if request.height > 0 else 576))
+                    kwargs["image"] = image
+                
+                output = self.pipe(**kwargs)
+                frames = output.frames[0]
+            elif self.txt2vid:
+                # Generic text-to-video generation
+                output = self.pipe(**kwargs)
+                frames = output.frames[0]
+            else:
+                return backend_pb2.Result(success=False, message=f"Pipeline {self.PipelineType} does not support video generation")
+
+            # Export video
+            export_to_video(frames, request.dst, fps=fps)
+            
+            return backend_pb2.Result(message="Video generated successfully", success=True)
+
+        except Exception as err:
+            print(f"Error generating video: {err}", file=sys.stderr)
+            traceback.print_exc()
+            return backend_pb2.Result(success=False, message=f"Error generating video: {err}")
+

 def serve(address):
    server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS),
--- a/backend/python/diffusers/requirements-cpu.txt
+++ b/backend/python/diffusers/requirements-cpu.txt
@@ -1,9 +1,12 @@
-diffusers
+--extra-index-url https://download.pytorch.org/whl/cpu
+git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
+torchvision==0.22.1
 accelerate
 compel
 peft
 sentencepiece
-torch==2.4.1
-optimum-quanto
+torch==2.7.1
+optimum-quanto
+ftfy
--- a/backend/python/diffusers/requirements-cublas11.txt
+++ b/backend/python/diffusers/requirements-cublas11.txt
@@ -1,10 +1,12 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
-diffusers
+git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
+torchvision==0.22.1
 accelerate
 compel
 peft
 sentencepiece
-optimum-quanto
+torch==2.7.1
+optimum-quanto
+ftfy
--- a/backend/python/diffusers/requirements-cublas12.txt
+++ b/backend/python/diffusers/requirements-cublas12.txt
@@ -1,9 +1,12 @@
-torch==2.4.1
-diffusers
+--extra-index-url https://download.pytorch.org/whl/cu121
+git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
+torchvision
 accelerate
 compel
 peft
 sentencepiece
-optimum-quanto
+torch
+ftfy
+optimum-quanto
--- a/backend/python/diffusers/requirements-hipblas.txt
+++ b/backend/python/diffusers/requirements-hipblas.txt
@@ -1,11 +1,12 @@
--extra-index-url https://download.pytorch.org/whl/rocm6.0
-torch==2.3.1+rocm6.0
-torchvision==0.18.1+rocm6.0
-diffusers
+--extra-index-url https://download.pytorch.org/whl/rocm6.3
+torch==2.7.1+rocm6.3
+torchvision==0.22.1+rocm6.3
+git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
 accelerate
 compel
 peft
 sentencepiece
-optimum-quanto
+optimum-quanto
+ftfy
--- a/backend/python/diffusers/requirements-intel.txt
+++ b/backend/python/diffusers/requirements-intel.txt
@@ -1,15 +1,16 @@
 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
 intel-extension-for-pytorch==2.3.110+xpu
-torch==2.3.1+cxx11.abi
-torchvision==0.18.1+cxx11.abi
-oneccl_bind_pt==2.3.100+xpu
+torch==2.5.1+cxx11.abi
+torchvision==0.20.1+cxx11.abi
+oneccl_bind_pt==2.8.0+xpu
 optimum[openvino]
 setuptools
-diffusers
+git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
 accelerate
 compel
 peft
 sentencepiece
-optimum-quanto
+optimum-quanto
+ftfy
--- a/backend/python/diffusers/requirements-l4t.txt
+++ b/backend/python/diffusers/requirements-l4t.txt
@@ -0,0 +1,12 @@
+--extra-index-url https://pypi.jetson-ai-lab.io/jp6/cu126/
+torch
+diffusers
+transformers
+accelerate
+compel
+peft
+optimum-quanto
+numpy<2
+sentencepiece
+torchvision
+ftfy
--- a/backend/python/diffusers/requirements-mps.txt
+++ b/backend/python/diffusers/requirements-mps.txt
@@ -0,0 +1,11 @@
+torch==2.7.1
+torchvision==0.22.1
+git+https://github.com/huggingface/diffusers
+opencv-python
+transformers
+accelerate
+compel
+peft
+sentencepiece
+optimum-quanto
+ftfy
--- a/backend/python/diffusers/requirements.txt
+++ b/backend/python/diffusers/requirements.txt
@@ -1,5 +1,5 @@
 setuptools
-grpcio==1.71.0
+grpcio==1.74.0
 pillow
 protobuf
 certifi
--- a/backend/python/diffusers/run.sh
+++ b/backend/python/diffusers/run.sh
@@ -12,4 +12,6 @@ if [ -d "/opt/intel" ]; then
    export XPU=1
 fi

+export PYTORCH_ENABLE_MPS_FALLBACK=1
+
 startBackend $@
--- a/backend/python/exllama2/Makefile
+++ b/backend/python/exllama2/Makefile
@@ -1,23 +1,17 @@
 .PHONY: exllama2
-exllama2: protogen
+exllama2:
 	bash install.sh

 .PHONY: run
-run: protogen
+run: exllama2
 	@echo "Running exllama2..."
 	bash run.sh
 	@echo "exllama2 run."

-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py
-
 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
-
 .PHONY: clean
 clean: protogen-clean
 	$(RM) -r venv source __pycache__
--- a/backend/python/exllama2/requirements.txt
+++ b/backend/python/exllama2/requirements.txt
@@ -1,4 +1,4 @@
-grpcio==1.71.0
+grpcio==1.74.0
 protobuf
 certifi
 wheel
--- a/backend/python/faster-whisper/Makefile
+++ b/backend/python/faster-whisper/Makefile
@@ -3,18 +3,11 @@
 .PHONY: install
 install:
 	bash install.sh
-	$(MAKE) protogen
-
-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py

 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	bash protogen.sh
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/backend/python/faster-whisper/backend.py
+++ b/backend/python/faster-whisper/backend.py
@@ -10,7 +10,7 @@ import sys
 import os
 import backend_pb2
 import backend_pb2_grpc
-
+import torch
 from faster_whisper import WhisperModel

 import grpc
@@ -35,7 +35,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
        # device = "cuda" if request.CUDA else "cpu"
        if request.CUDA:
            device = "cuda"
-
+        mps_available = hasattr(torch.backends, "mps") and torch.backends.mps.is_available()
+        if mps_available:
+            device = "mps"
        try:
            print("Preparing models, please wait", file=sys.stderr)
            self.model = WhisperModel(request.Model, device=device, compute_type="float16")
--- a/backend/python/kitten-tts/Makefile
+++ b/backend/python/kitten-tts/Makefile
@@ -0,0 +1,23 @@
+.PHONY: kitten-tts
+kitten-tts:
+	bash install.sh
+
+.PHONY: run
+run: kitten-tts
+	@echo "Running kitten-tts..."
+	bash run.sh
+	@echo "kitten-tts run."
+
+.PHONY: test
+test: kitten-tts
+	@echo "Testing kitten-tts..."
+	bash test.sh
+	@echo "kitten-tts tested."
+
+.PHONY: protogen-clean
+protogen-clean:
+	$(RM) backend_pb2_grpc.py backend_pb2.py
+
+.PHONY: clean
+clean: protogen-clean
+	rm -rf venv __pycache__
--- a/backend/python/kitten-tts/backend.py
+++ b/backend/python/kitten-tts/backend.py
@@ -0,0 +1,109 @@
+#!/usr/bin/env python3
+"""
+This is an extra gRPC server of LocalAI for Kitten TTS
+"""
+from concurrent import futures
+import time
+import argparse
+import signal
+import sys
+import os
+import backend_pb2
+import backend_pb2_grpc
+
+import torch
+from kittentts import KittenTTS
+import soundfile as sf
+
+import grpc
+
+
+_ONE_DAY_IN_SECONDS = 60 * 60 * 24
+
+# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
+MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
+KITTEN_LANGUAGE = os.environ.get('KITTEN_LANGUAGE', None)
+
+# Implement the BackendServicer class with the service methods
+class BackendServicer(backend_pb2_grpc.BackendServicer):
+    """
+    BackendServicer is the class that implements the gRPC service
+    """
+    def Health(self, request, context):
+        return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
+    def LoadModel(self, request, context):
+
+        self.AudioPath = None
+        # List available KittenTTS models
+        print("Available KittenTTS voices: expr-voice-2-m, expr-voice-2-f, expr-voice-3-m, expr-voice-3-f, expr-voice-4-m, expr-voice-4-f, expr-voice-5-m, expr-voice-5-f")
+        if os.path.isabs(request.AudioPath):
+            self.AudioPath = request.AudioPath
+        elif request.AudioPath and request.ModelFile != "" and not os.path.isabs(request.AudioPath):
+            # get base path of modelFile
+            modelFileBase = os.path.dirname(request.ModelFile)
+            # modify LoraAdapter to be relative to modelFileBase
+            self.AudioPath = os.path.join(modelFileBase, request.AudioPath)
+
+        try:
+            print("Preparing KittenTTS model, please wait", file=sys.stderr)
+            # Use the model name from request.Model, defaulting to "KittenML/kitten-tts-nano-0.1" if not specified
+            model_name = request.Model if request.Model else "KittenML/kitten-tts-nano-0.1"
+            self.tts = KittenTTS(model_name)
+        except Exception as err:
+            return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
+        # Implement your logic here for the LoadModel service
+        # Replace this with your desired response
+        return backend_pb2.Result(message="Model loaded successfully", success=True)
+
+    def TTS(self, request, context):
+        try:
+            # KittenTTS doesn't use language parameter like TTS, so we ignore it
+            # For multi-speaker models, use voice parameter
+            voice = request.voice if request.voice else "expr-voice-2-f"
+            
+            # Generate audio using KittenTTS
+            audio = self.tts.generate(request.text, voice=voice)
+            
+            # Save the audio using soundfile
+            sf.write(request.dst, audio, 24000)
+            
+        except Exception as err:
+            return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
+        return backend_pb2.Result(success=True)
+
+def serve(address):
+    server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS),
+        options=[
+            ('grpc.max_message_length', 50 * 1024 * 1024),  # 50MB
+            ('grpc.max_send_message_length', 50 * 1024 * 1024),  # 50MB
+            ('grpc.max_receive_message_length', 50 * 1024 * 1024),  # 50MB
+        ])
+    backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
+    server.add_insecure_port(address)
+    server.start()
+    print("Server started. Listening on: " + address, file=sys.stderr)
+
+    # Define the signal handler function
+    def signal_handler(sig, frame):
+        print("Received termination signal. Shutting down...")
+        server.stop(0)
+        sys.exit(0)
+
+    # Set the signal handlers for SIGINT and SIGTERM
+    signal.signal(signal.SIGINT, signal_handler)
+    signal.signal(signal.SIGTERM, signal_handler)
+
+    try:
+        while True:
+            time.sleep(_ONE_DAY_IN_SECONDS)
+    except KeyboardInterrupt:
+        server.stop(0)
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Run the gRPC server.")
+    parser.add_argument(
+        "--addr", default="localhost:50051", help="The address to bind the server to."
+    )
+    args = parser.parse_args()
+
+    serve(args.addr)
--- a/backend/python/kitten-tts/install.sh
+++ b/backend/python/kitten-tts/install.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+set -e
+
+backend_dir=$(dirname $0)
+if [ -d $backend_dir/common ]; then
+    source $backend_dir/common/libbackend.sh
+else
+    source $backend_dir/../common/libbackend.sh
+fi
+
+# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
+# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
+# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
+# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
+if [ "x${BUILD_PROFILE}" == "xintel" ]; then
+    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+fi
+
+installRequirements
--- a/backend/python/kitten-tts/requirements.txt
+++ b/backend/python/kitten-tts/requirements.txt
@@ -0,0 +1,5 @@
+grpcio==1.71.0
+protobuf
+certifi
+packaging==24.1
+https://github.com/KittenML/KittenTTS/releases/download/0.1/kittentts-0.1.0-py3-none-any.whl
--- a/backend/python/kitten-tts/run.sh
+++ b/backend/python/kitten-tts/run.sh
@@ -0,0 +1,9 @@
+#!/bin/bash
+backend_dir=$(dirname $0)
+if [ -d $backend_dir/common ]; then
+    source $backend_dir/common/libbackend.sh
+else
+    source $backend_dir/../common/libbackend.sh
+fi
+
+startBackend $@
--- a/backend/python/kitten-tts/test.py
+++ b/backend/python/kitten-tts/test.py
@@ -0,0 +1,82 @@
+"""
+A test script to test the gRPC service
+"""
+import unittest
+import subprocess
+import time
+import backend_pb2
+import backend_pb2_grpc
+
+import grpc
+
+
+class TestBackendServicer(unittest.TestCase):
+    """
+    TestBackendServicer is the class that tests the gRPC service
+    """
+    def setUp(self):
+        """
+        This method sets up the gRPC service by starting the server
+        """
+        self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
+        time.sleep(30)
+
+    def tearDown(self) -> None:
+        """
+        This method tears down the gRPC service by terminating the server
+        """
+        self.service.terminate()
+        self.service.wait()
+
+    def test_server_startup(self):
+        """
+        This method tests if the server starts up successfully
+        """
+        try:
+            self.setUp()
+            with grpc.insecure_channel("localhost:50051") as channel:
+                stub = backend_pb2_grpc.BackendStub(channel)
+                response = stub.Health(backend_pb2.HealthMessage())
+                self.assertEqual(response.message, b'OK')
+        except Exception as err:
+            print(err)
+            self.fail("Server failed to start")
+        finally:
+            self.tearDown()
+
+    def test_load_model(self):
+        """
+        This method tests if the model is loaded successfully
+        """
+        try:
+            self.setUp()
+            with grpc.insecure_channel("localhost:50051") as channel:
+                stub = backend_pb2_grpc.BackendStub(channel)
+                response = stub.LoadModel(backend_pb2.ModelOptions(Model="tts_models/en/vctk/vits"))
+                print(response)
+                self.assertTrue(response.success)
+                self.assertEqual(response.message, "Model loaded successfully")
+        except Exception as err:
+            print(err)
+            self.fail("LoadModel service failed")
+        finally:
+            self.tearDown()
+
+    def test_tts(self):
+        """
+        This method tests if the embeddings are generated successfully
+        """
+        try:
+            self.setUp()
+            with grpc.insecure_channel("localhost:50051") as channel:
+                stub = backend_pb2_grpc.BackendStub(channel)
+                response = stub.LoadModel(backend_pb2.ModelOptions(Model="tts_models/en/vctk/vits"))
+                self.assertTrue(response.success)
+                tts_request = backend_pb2.TTSRequest(text="80s TV news production music hit for tonight's biggest story")
+                tts_response = stub.TTS(tts_request)
+                self.assertIsNotNone(tts_response)
+        except Exception as err:
+            print(err)
+            self.fail("TTS service failed")
+        finally:
+            self.tearDown()
--- a/backend/python/kitten-tts/test.sh
+++ b/backend/python/kitten-tts/test.sh
@@ -8,4 +8,4 @@ else
    source $backend_dir/../common/libbackend.sh
 fi

-python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto
+runUnittests
--- a/backend/python/kokoro/Makefile
+++ b/backend/python/kokoro/Makefile
@@ -1,20 +1,23 @@
-.DEFAULT_GOAL := install
-
-.PHONY: install
-install:
+.PHONY: kokoro
+kokoro:
 	bash install.sh
-	$(MAKE) protogen

-.PHONY: protogen
-protogen: backend_pb2_grpc.py backend_pb2.py
+.PHONY: run
+run: kokoro
+	@echo "Running kokoro..."
+	bash run.sh
+	@echo "kokoro run."
+
+.PHONY: test
+test: kokoro
+	@echo "Testing kokoro..."
+	bash test.sh
+	@echo "kokoro tested."

 .PHONY: protogen-clean
 protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

-backend_pb2_grpc.py backend_pb2.py:
-	bash protogen.sh
-
 .PHONY: clean
 clean: protogen-clean
 	rm -rf venv __pycache__
--- a/Show More
+++ b/Show More