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Project comparison
Stable Diffusion vs Diffusers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Stable Diffusion
A latent text-to-image diffusion model
73.0K
Stars
+15
Weekly
47/100
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
Stable Diffusion has the larger GitHub footprint with 73.0K stars.
Momentum
Stable Diffusion is currently growing faster at +15 stars this week.
Maintenance
Diffusers has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Stable Diffusion | Diffusers |
|---|---|---|
| GitHub stars | 73.0K | 33.6K |
| Weekly growth | +15 | 0 |
| Health score | 47 | 72 |
| Contributors | 8 | 1.1K |
| Commits per week | 0.0 | 19.5 |
| Open issues | 614 | 1.1K |
| Language | Jupyter Notebook | Python |
| License | NOASSERTION | Apache-2.0 |
| Last commit | 23mo ago | 17h ago |
| Last release | N/A | v0.38.0 |
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