worldbench/DiffusionOPSD
🔥 On-Policy Self-Distillation in Diffusion Models
- Stars
- 879
- Forks
- 9
- Open issues
- 4
- Last push
- 10d ago
About DiffusionOPSD
DiffusionOPSD is a free, open-source machine learning tool by worldbench, written mainly in Python. 🔥 On-Policy Self-Distillation in Diffusion Models. It has 879 GitHub stars and 9 forks, and was last updated 10d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 879
- Last update
- 10d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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DiffusionOPSD FAQ
Is DiffusionOPSD free?
Yes. DiffusionOPSD is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does DiffusionOPSD run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does DiffusionOPSD need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is DiffusionOPSD still maintained?
Yes. It was last updated 10d ago and has 4 open issues on GitHub.
What are alternatives to DiffusionOPSD?
Similar free, open-source tools include pytorch-image-models, Hunyuan3D-2, SDV, ModelsGenesis.