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Project comparison
Awesome Diffusion Categorized vs Diffusers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Awesome Diffusion Categorized
collection of diffusion model papers categorized by their subareas
2.2K
Stars
0
Weekly
32/100
Health
Diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
33.6K
Stars
0
Weekly
72/100
Health
Quick Take
Adoption
Diffusers has the larger GitHub footprint with 33.6K stars.
Momentum
Awesome Diffusion Categorized is currently growing faster at 0 stars this week.
Maintenance
Diffusers has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Awesome Diffusion Categorized | Diffusers |
|---|---|---|
| GitHub stars | 2.2K | 33.6K |
| Weekly growth | 0 | 0 |
| Health score | 32 | 72 |
| Contributors | 3 | 1.1K |
| Commits per week | 0.8 | 19.5 |
| Open issues | 1 | 1.1K |
| Language | N/A | Python |
| License | N/A | Apache-2.0 |
| Last commit | 1mo ago | 17h ago |
| Last release | N/A | v0.38.0 |
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