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ddpo-brisque-checkpoints
giannisdaras/ddpo-brisque-checkpoints
ddpo-brisque-checkpoints is a machine learning model from giannisdaras. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains checkpoints for Stable Diffusion v1.5 fine-tuned using Denoising Diffusion Policy Optimization (DDPO).
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Updated Mar 5, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 5, 2026
- SHA
- b53cb82f
Model card
From the Hugging Face model README
DDPO BRISQUE Checkpoints
This repository contains checkpoints for Stable Diffusion v1.5 fine-tuned using Denoising Diffusion Policy Optimization (DDPO).
Training Details
- Base Model: Stable Diffusion v1.5
- Reward Function: BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator)
- Method: LoRA-based DDPO
- Training Platform: MIT ORCD (Engaging)
Checkpoints
We provide checkpoints every 10 epochs plus the final epoch (98). BRISQUE is a no-reference image quality metric where lower values typically indicate higher spatial quality/less distortion.
- License
- mit
- Created
- Mar 4, 2026
- Updated
- Mar 5, 2026