Single-page summary of AnyFlow's two-stage recipe: - Algorithm intuition (u_θ(x_t, t, r) → any-step Euler) - Stage 1 pretrain: central-difference target + (t, r) sampling - Stage 2 on-policy DMD: multi-step rollout with grad-step broadcast - Launch commands for both YAMLs - Note on loading nvidia/AnyFlow-Wan2.1-T2V-* checkpoints (handled by param_names_mapping, no separate adapter) - Note on fuse_guidance_scale parameterization Registered under mkdocs nav so it surfaces in the built doc tree.
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