bghira / SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
Why this job: says: fine tuning; topics: fine-tuning
What it does
- User-friendly web UI. Manage your entire training lifecycle through a sleek dashboard
- Multi-modal training. Unified pipeline for Image, Video, and Audio generative models
- Multi-GPU training. Distributed training across multiple GPUs with automatic optimization
- Advanced caching. Image, video, audio, and caption embeddings cached to disk for faster training
- CaptionFlow integration. Generate dataset captions from local GPUs through the Web UI job queue using bghira/CaptionFlow; see the CaptionFlow integration guide
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 2,956
- +4 this week
- Licence
- AGPL-3.0
- Share-alike, even hosted
- Downloads for
- None listed
- No release files
- Latest version
- v4.11.0
- Released 13 days ago
- Built with
- Python
- 83% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 99% closed
- 7 still open
- Pull requests
- 2,228 merged
- 0 waiting
- Releases
- 186
- 30+ in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 83%
- HTML 8%
- JavaScript 6%
- CSS 2%
Topics
- diffusers
- diffusion-models
- fine-tuning
- flux-dev
- machine-learning
- stable-diffusion
Project record
- JobFine-tuning
- StatusListed
- Commits10,899
- Forks296
- Watching18
- Stars in 28 days+24
- CreatedMay 28, 2023
- First seen by usNov 7, 2026
- CheckedNov 9, 2026