Text-to-Image
Diffusers
Safetensors
diffusion
image-generation
reinforcement-learning
self-distillation
lora
Instructions to use WeiChow/DiffusionOPSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WeiChow/DiffusionOPSD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WeiChow/DiffusionOPSD") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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## Citation
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```bibtex
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@article{
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author
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journal
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## Citation
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```bibtex
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@article{zhou2026policy,
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title={On-Policy Self-Distillation in Diffusion Models},
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author={Zhou, Wei and Zhu, Xiongwei and Kong, Lingdong and Chen, Bo and Zhang, Lei and Liang, Yongyuan and Hou, Xiaoxia and Tian, Ye and Sun, Xian and Wang, Yingshuo and others},
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journal={arXiv preprint arXiv:2608.24646},
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year={2026}
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}
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```
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