ChenyangSi/FreeU

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1899 stars · 76 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FreeU is a research codebase implementing a training-free method that improves diffusion model sample quality by re-weighting U-Net backbone and skip-connection features via Fourier filtering. It integrates with models like Stable Diffusion, DreamBooth, and ModelScope with only two scaling factors adjusted at inference.

Use cases

• improve stable diffusion image quality without retraining
• speed up diffusion sampling quality for free
• apply FreeU scaling factors to SDXL or ControlNet
• enhance text-to-image and video generation output
• reproduce CVPR 2024 FreeU paper results

When to choose

• you use diffusion models like Stable Diffusion and want better samples with no training or latency cost
• you want a few-lines-of-code drop-in enhancement for existing diffusion pipelines

When to avoid

• you need a production-maintained library with ongoing support
• your pipeline does not use a U-Net-based diffusion architecture

Facets

library · maturity maintenance

image-processing machine-learning deep-learning image-processing deep-learning artificial-intelligence python cross-platform diffusion-models stable-diffusion u-net text-to-image video-generation research-code cvpr-2024 gpu

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