Lightning-Universe/stable-diffusion-deploy

Model Serving

Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.

GitHub →Website →

4.7

GitHub Metrics

Stars

391

Forks

Open Issues

Watchers

Contributors

Weekly Commits

Language

Python

License

Apache-2.0

Last Commit

Oct 3, 2023

Created

Aug 23, 2022

Latest Release

v0.3.0

Release Date

Nov 24, 2022

Synced: Apr 16, 2026

Quality Scores

Documentation Qualityw: 20%

6.6

Has docs site (https://lightning.ai/muse). Description: 245 chars. Stars signal: 391. Contributors: 17. Score: 6.6/10

Community Healthw: 20%

4.5

Stars: 391. Contributors: 17. Watchers: 18. Forks: 39. Issue ratio: 6.4%. Score: 4.5/10

Maintenance Velocityw: 15%

0.8

Last commit: 926d ago. Weekly commits: 0. Latest release: v0.3.0. Maturity bonus: 3.6y old. Score: 0.8/10

API Design & DXw: 20%

6.4

Stars/issues ratio: 16. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 391 stars. Score: 6.4/10

Production Readinessw: 15%

3.6

Battle-tested: 391 stars. Peer review: 17 contributors. Versioned: v0.3.0. Licensed: Apache-2.0. Age: 3.6 years. Maintenance: last commit 926d ago. Score: 3.6/10

Ecosystem Integrationw: 10%

5.3

Fork interest: 39. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 391 stars. Has web presence. Score: 5.3/10