Davids048andClaude Opus 5.5
4d05e9c020
A request's embedded_cfg_scale (request extension or legacy generate_video keyword) was applied to a deep copy of FastVideoArgs.pipeline_config in VideoGenerator. The worker runs the pipeline with its own FastVideoArgs (GpuWorker.execute_forward passes self.fastvideo_args), so the copy never reached the denoising stages and the request value was ignored. embedded_cfg_scale is now a per-request sampling value: - the request field request.sampling.embedded_cfg_scale (the extension key still works); - SamplingParam.embedded_cfg_scale and ForwardBatch.embedded_cfg_scale; - embedded_cfg_scale_for_batch(batch, fastvideo_args), which the denoising, SR denoising, Wan DMD, and Flux2 text-encoding stages read. It returns the batch value, else pipeline_config.embedded_cfg_scale, so training and requests without the field are unchanged. VideoGenerator no longer copies or changes FastVideoArgs per request, and request_to_pipeline_overrides is removed. The golden snapshots record the new SamplingParam field, and the request with extensions.embedded_cfg_scale now carries 3.0 on SamplingParam instead of on a pipeline override. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
FastVideo Documentation
This directory contains the FastVideo documentation built with MkDocs.
Build the docs locally
# Install dependencies
uv pip install -r requirements-mkdocs.txt
# Serve docs with live reload (recommended for development)
mkdocs serve
# Or build static site
mkdocs build
View the docs
Development server (with live reload)
mkdocs serve
Then open your browser to: http://127.0.0.1:8000
Static build
mkdocs build
python -m http.server -d site/
Then open your browser to: http://localhost:8000
Automatic Deployment
Documentation is automatically built and deployed to GitHub Pages when changes are pushed to the main branch via the .github/workflows/infra-docs.yml workflow.
Update documentation dependencies
Edit requirements-mkdocs.in, then regenerate the pinned Linux/Python 3.12 lock file:
uv pip compile requirements-mkdocs.in \
-o requirements-mkdocs.txt \
--python-platform x86_64-manylinux_2_28 \
--python-version 3.12