mudler-agentandEttore Di Giacinto
e28d5009d9
* feat(stablediffusion-ggml): run MiniMax-H3 video with reference conditioning Bump stable-diffusion.cpp to 2988060 and follow its tiling rename (tile_size_x/y -> tile_size_w/h, rel_size_x/y -> rel_size_w/h). GenerateVideo now passes params["ref_image"] and the request audio to the MiniMax-H3 Ref2VA inputs (ref_images, ref_audios). The audio must be a WAV file. params["ref_video"] is refused, since the proto cannot carry a frame sequence yet. stable-diffusion.cpp cannot tell the FL2VA and REF2VA DiTs apart, and a reference input on FL2VA renders a wrong video without an error. The backend now reads the video_partition option, or the model file name, and fails early on that mix. Keyframes plus references are refused too. Add gallery entries for the FL2VA and REF2VA Q4_K_M sets. They do not enable any bf16 dequantisation. Assisted-by: Claude:claude-sonnet-5-5 go vet gofmt * feat(stablediffusion-ggml): take several reference images, videos and audio clips Phase 1 passed one reference image and one reference audio clip to stable-diffusion.cpp and refused ref_video. Add repeated reference fields to GenerateVideoRequest (ref_images, ref_videos, ref_audios) so the MiniMax-H3 Ref2VA path can use as many references as upstream accepts. A reference video is a directory of frames with an fps and an optional paired audio clip. The /video endpoint stages the new inputs through the same path as start_image, end_image and audio. Frames of one reference video are written to a private directory under zero-padded names so the backend can read them in order. The input count and frame count per request are bounded. The backend merges the new fields with params.ref_image, params.ref_video and audio, which keep working. The FL2VA partition refuses any reference input, REF2VA accepts all of them, and keyframes stay exclusive with references. Reference audio is still WAV only. Assisted-by: Claude:claude-sonnet-5-5 [Bash] * feat(gallery): offer MiniMax-H3 by partition, DiT layout and format Name each MiniMax-H3 entry after its partition (fl2va or ref2va), DiT layout (unpruned or pruned) and format. Add the vllm.cpp builds that its model page lists: pruned Q8_0 (renders), pruned Q6_K, Q5_0, Q4_K, Q3_K and Q2_K (load only), and the pruned FL2VA NVFP4 file (loads only). The earlier names minimax-h3-fl2va-q4 and minimax-h3-ref2va-q4 stay as aliases. The two stable-diffusion.cpp entries become minimax-h3-fl2va-unpruned-q4-ggml and minimax-h3-ref2va-pruned-q4-ggml, and the latter now lists video input. Fix two bad sources. The stable-diffusion.cpp entries took the VAEs from a path that does not exist in the GGUF repository; they now use the Comfy-Org copies. The vllm.cpp entries paired the fp16 video VAE weights with a config from a different directory; they now use the official weights and config from FL2VA/video_vae/source/. Drop video_dequant_bf16 from every vllm.cpp entry. Expanding a quantised DiT to bf16 is the suspected cause of a host out-of-memory error, so the quantised weights stay resident. The model page records its renders with the expansion on, and each description says so. Assisted-by: Claude:claude-sonnet-5-5 [Bash] * feat(gallery): add pruned FL2VA Q4 MiniMax-H3 for sd.cpp Add minimax-h3-fl2va-pruned-q4-ggml, the 11.4 GB pruned FL2VA counterpart of the existing pruned REF2VA entry. Assisted-by: Claude Code:claude-sonnet-5-5 [rc] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
LocalAI website
LocalAI documentation website
Requirement
In this project, the Docsy theme component is pulled in as a Hugo module, together with other module dependencies:
$ hugo mod graph
hugo: collected modules in 566 ms
hugo: collected modules in 578 ms
github.com/google/docsy-example github.com/google/docsy@v0.5.1-0.20221017155306-99eacb09ffb0
github.com/google/docsy-example github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/twbs/bootstrap@v4.6.2+incompatible
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/FortAwesome/Font-Awesome@v0.0.0-20220831210243-d3a7818c253f
If you want to do SCSS edits and want to publish these, you need to install PostCSS
npm install
Running the website locally
Building and running the site locally requires a recent extended version of Hugo.
You can find out more about how to install Hugo for your environment in our
Getting started guide.
From the LocalAI repository root, run:
make docs
The Hugo configuration lives in the docs directory. To invoke Hugo
directly instead, run:
cd docs
hugo server
Running a container locally
You can run docsy-example inside a Docker
container, the container runs with a volume bound to the docsy-example
folder. This approach doesn't require you to install any dependencies other
than Docker Desktop on
Windows and Mac, and Docker Compose
on Linux.
-
Build the docker image
docker-compose build -
Run the built image
docker-compose upNOTE: You can run both commands at once with
docker-compose up --build. -
Verify that the service is working.
Open your web browser and type
http://localhost:1313in your navigation bar, This opens a local instance of the docsy-example homepage. You can now make changes to the docsy example and those changes will immediately show up in your browser after you save.
Cleanup
To stop Docker Compose, on your terminal window, press Ctrl + C.
To remove the produced images run:
docker-compose rm
For more information see the Docker Compose documentation.
Troubleshooting
As you run the website locally, you may run into the following error:
➜ hugo server
INFO 2021/01/21 21:07:55 Using config file:
Building sites … INFO 2021/01/21 21:07:55 syncing static files to /
Built in 288 ms
Error: Error building site: TOCSS: failed to transform "scss/main.scss" (text/x-scss): resource "scss/scss/main.scss_9fadf33d895a46083cdd64396b57ef68" not found in file cache
This error occurs if you have not installed the extended version of Hugo. See this section of the user guide for instructions on how to install Hugo.
Or you may encounter the following error:
➜ hugo server
Error: failed to download modules: binary with name "go" not found
This error occurs if you have not installed the go programming language on your system.
See this section of the user guide for instructions on how to install go.