akashsonowal/ddpo-pytorch
RLHF for Stable Diffusion
This project helps machine learning engineers refine text-to-image diffusion models, like Stable Diffusion, to generate images that are more aesthetically pleasing. You input an existing diffusion model and a dataset of images with aesthetic scores. The output is a fine-tuned diffusion model that produces higher quality, more visually appealing images, suitable for AI artists or content creators.
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Use this if you want to improve the aesthetic quality of images generated by your diffusion models using reinforcement learning from human feedback (RLHF).
Not ideal if you need to fine-tune diffusion models based on complex, multi-faceted reward functions beyond simple aesthetic scoring.
Stars
14
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 09, 2023
Commits (30d)
0
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