hao-ai-lab/FastVideo
- Total stars
- 4,514
- Today
- +3
More actions
A unified inference and post-training framework for accelerated video generation.
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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. Read the original README →
Star growth looks organic. Data as of September 28, 2026, 10:29 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- 3 stars so far today, about 7 expected by the end of the day.
- Recent forks include notable developers: @magicbear (217 followers).
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 26, 2026
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- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: September 28, 2026, 10:29 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 4,514
- Today
- +3 stars on 2026-09-28 (UTC), ≈ 7 by evening
- Forks
- 476
- Issues and pull requests
- 1,887
- Watchers
- 38
- Language
- Python
- License
- Apache-2.0
- Latest release
- v0.2.0 · June 4, 2026
- Created
- October 24, 2024
- Last push
- September 27, 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