hao-ai-lab/FastVideo

A unified inference and post-training framework for accelerated video generation.

Generative mediaPython#diffusers#diffusion-models#video-generation#distillation#inference

1.9 Steady Magnitude out of 10. Star growth looks organic. Data as of September 18, 2026.

About the project

A framework for accelerated video generation: post-training (distillation, LoRA, sparse attention) and fast inference of diffusion video models on GPU and Apple Silicon.

Useful for

Run DMD2 distillation on an open video model to speed up denoising
Generate a short video on a single GPU via CLI or Python API
Finetune a video diffusion model on custom data with LoRA

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

6 stars so far today, about 8 expected by the end of the day.
Over the last two days the pace is 1.8× that of the previous week and a half.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 4,471
Stars in a day: 8
Forks: 465
Issues and pull requests: 1,865
Watchers: 37
Language: Python
License: Apache-2.0
Latest release: v0.2.0 · June 4, 2026
Created: October 24, 2024
Last push: September 18, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 18, 2026GitHub Trending Python today: #13, +17 stars
September 17, 2026GitHub Trending Python today: #13, +28 stars

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/hao-ai-lab/FastVideo.svg?lang=en)](https://gitnova.dev/en/r/hao-ai-lab/FastVideo)

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