Commit Graph

4 Commits

Author SHA1 Message Date
Adira
62c99c10b3 fix(diffusers): pin diffusers and transformers to a known-good pair (#9979) (#10442)
fix(diffusers): pin diffusers and transformers to a known-good pair

The diffusers backend tracked git+https://github.com/huggingface/diffusers
(main) with an unpinned transformers. transformers v5 restructured
CLIPTextModel and removed the .text_model attribute that diffusers' single
-file loader reads, so loading any single-file Stable Diffusion checkpoint
fails:

    create_diffusers_clip_model_from_ldm (single_file_utils.py)
    position_embedding_dim = model.text_model.embeddings.position_embedding...
    AttributeError: 'CLIPTextModel' object has no attribute 'text_model'

No released diffusers (<=0.38.0) supports transformers v5 - only unreleased
diffusers main does. Because the requirements tracked main plus an unpinned
transformers, every backend image froze whichever pair existed at build
time, and images built once transformers v5 shipped but before diffusers
main caught up are permanently broken.

Pin the last known-good released pair across all requirements files:
diffusers==0.38.0 and transformers==4.57.6. 0.38.0 still exposes every
pipeline backend.py imports (Flux, Wan, Sana, LTX2, Qwen, GGUF), so no
functionality is lost, and builds become reproducible instead of drifting
into the broken window.

Fixes #9979

Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>
2026-06-22 12:38:06 +02:00
Ettore Di Giacinto
7325046650 fix(diffusers): drop compel from requirements to unblock pip resolver (#9632)
compel 2.3.1 (latest, Nov 2025) declares transformers~=4.25 in its
metadata, i.e. >=4.25,<5.0. After transformers 5.0 (2026-01-26) and
huggingface-hub 1.0 (2025-10-27) shipped, the weekly DEPS_REFRESH
cache rotation in CI started seeing the new majors and pip's resolver
went into multi-hour backtracking storms walking every transformers
4.x candidate against every accelerate/hf-hub/tokenizers combination
to find a set compel would accept. The 2026-04-29 backend-build for
the diffusers backend (darwin-mps + l4t + cublas13-turboquant matrix
cells) hit the GitHub Actions 6h job timeout still inside pip
install — the build itself never started.

compel is the only hard upper bound on transformers in this stack
(diffusers, accelerate, peft, optimum-quanto are all flexible), and
upstream support for transformers 5 is still in flight: damian0815/
compel#129 ("Modernize Compel for Transformers 5") and #128 ("Bump
transformers version to >5.0") are both open as of today.

backend.py only constructs Compel() when COMPEL=1 is set in the env
(default off), so make compel a true optional extra:

  - Wrap the top-level `from compel import ...` in try/except
    ImportError, mirroring the existing sd_embed pattern.
  - Auto-disable COMPEL with a warning when the module isn't
    installed, instead of crashing on module load.
  - Drop compel from all eight requirements-*.txt variants so the
    resolver no longer has to satisfy its transformers cap.
  - Leave a TODO in backend.py and in each requirements file
    pointing at the upstream PR/issue, so the dependency can be
    reinstated once compel supports transformers >= 5.

Users who rely on weighted-prompt embeddings can opt in with a
manual `pip install compel` alongside COMPEL=1; the warning emitted
on startup tells them how.

Assisted-by: Claude:claude-opus-4-7 [Bash Read Edit WebFetch]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-05-01 14:45:14 +02:00
Austen
cff972094c feat(diffusers): add experimental support for sd_embed-style prompt embedding (#8504)
* add experimental support for sd_embed-style prompt embedding

Signed-off-by: Austen Dicken <cvpcsm@gmail.com>

* add doc equivalent to compel

Signed-off-by: Austen Dicken <cvpcsm@gmail.com>

* need to use flux1 embedding function for flux model

Signed-off-by: Austen Dicken <cvpcsm@gmail.com>

---------

Signed-off-by: Austen Dicken <cvpcsm@gmail.com>
2026-02-11 22:58:19 +01:00
Ettore Di Giacinto
cfd95745ed feat: add cuda13 images (#7404)
* chore(ci): add cuda13 jobs

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add to pipelines and to capabilities. Start to work on the gallery

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* gallery

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* capabilities: try to detect by looking at /usr/local

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* neutts

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backends.yaml

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* add cuda13 l4t requirements.txt

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* add cuda13 requirements.txt

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Fixups

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Fixups

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Pin vllm

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Not all backends are compatible

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* add vllm to requirements

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* vllm is not pre-compiled for cuda 13

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2025-12-02 14:24:35 +01:00