modelscope/DiffSynth-Studio
Enjoy the magic of Diffusion models!
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 350 days ago, with 72 contributors on GitHub.
Gained 5% more stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides an open-source Python engine for advanced diffusion models enabling efficient training and inference of generative AI content.
- Offers aggressive technical exploration with flexible pipelines supporting cutting-edge diffusion models and memory-efficient training.
- Use for academic research requiring experimental diffusion model development and validation.
- Use for generating high-quality AI images with customizable prompts and low VRAM inference on GPUs.
- Use for creating AI-generated videos from text or images using state-of-the-art video diffusion pipelines.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Welcome to the magic world of Diffusion models! DiffSynth-Studio is an open-source Diffusion model engine developed and maintained by ModelScope team. We aim to foster technical innovation through framework development, bring together the power of the open-source community, and explore the limits of generative models!
DiffSynth currently includes two open-source projects:
DiffSynth-Studio and DiffSynth-Engine are the core projects behind ModelScope AIGC zone, offering powerful AI content generation abilities. Come and try our carefully designed features and start your AI creation journey!
DiffSynth-Studio redesigns the inference and training pipelines for mainstream Diffusion models (including FLUX, Wan, etc.), enabling efficient memory management and flexible model training.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.3K+57
Open issues
570+18
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| modelscope/DiffSynth-Studio | 13.3K | — | 36 | 350 days ago |
| Category median | 56.0K | +2.3K | 29 | — |
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