Files
hao-ai-lab-FastVideo/docs
SolitaryThinker 85642a44f7 [misc]: DreamX — point registry/examples at published Diffusers weights
Verified on GB200: both FastVideo/DreamX-World-5B-Cam-Diffusers and
FastVideo/DreamX-World-5B-Diffusers strict-load from the Hub with no
missing/unexpected keys, and the Cam example generates a video end-to-end
from the Hub repo id.

- registry: hf_model_paths now reference the published FastVideo Diffusers
  repos instead of the official GD-ML checkpoints (which are raw-format and
  not directly loadable).
- example + support matrix: default/documented model ids updated likewise.
- SSIM test: model paths default to the Hub repos like sibling SSIM tests;
  the local-converted-path skip machinery is gone (env overrides remain).
2026-07-06 22:24:14 -07:00
..
2026-07-06 22:24:14 -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