zhaoyl18/SEIKO

SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward backpropagation) for fine-tuning Stable Diffusion.

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Language

Python

License

MIT

Category

diffusion-rlhf-alignment

Last pushed

Jul 18, 2024

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Diffusion RLHF Alignment · 53 models

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