← Back to Leaderboard
Project comparison
Diffusers vs Stable Diffusion
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
33.6K
Stars
0
Weekly
72/100
Health
Stable Diffusion
A latent text-to-image diffusion model
73.0K
Stars
+15
Weekly
47/100
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 | Diffusers | Stable Diffusion |
|---|---|---|
| GitHub stars | 33.6K | 73.0K |
| Weekly growth | 0 | +15 |
| Health score | 72 | 47 |
| Contributors | 1.1K | 8 |
| Commits per week | 19.5 | 0.0 |
| Open issues | 1.1K | 614 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | NOASSERTION |
| Last commit | 17h ago | 23mo ago |
| Last release | v0.38.0 | N/A |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.