Files
hao-ai-lab-FastVideo/docs
Enderfga ef1bf25aba [docs] AnyFlow algorithm + usage guide
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.
2026-07-11 18:36:14 -07:00
..
2026-02-23 15:14:42 -08:00

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