Davids048andClaude Opus 5.5
0b0c692012
- The component loaders read engine.offload.*, engine.precision.*, engine.parallelism.hsdp_*, engine.use_fsdp_inference, engine.compile.*, engine.attention.*, pipeline.components.*, and pipeline.flow_shift (the scheduler shift) from the resolved config, and compile settings through torch_compile_kwargs(). They no longer write model_paths (the pipeline's ComponentState records paths) or apply the unified-memory policy to the config; the text-encoder loader only queries the policy for its target device. - PipelineComponentLoader.load_module and TransformerLoader.load take loading_teacher_critic_model instead of reading an attribute that training code set on the config. - Loader, encoder, transformer, VAE, and device-policy tests build resolved configs; the env-var docs name typed paths. 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