lzzcd001/nabla-gfn
Official Implementation of Nabla-GFlowNet (ICLR 2025)
This tool helps researchers and AI practitioners fine-tune existing text-to-image diffusion models like Stable Diffusion. It takes a pre-trained model and a reward signal (e.g., image aesthetics or human preference scores) and outputs a refined model that generates higher-quality or more relevant images while maintaining the original model's diversity. It's for anyone building or deploying AI models who needs to adapt a general image generation model to specific quality standards or creative briefs.
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Use this if you need to improve the output quality or align an existing diffusion model's image generation with specific preferences or a reward function, without losing the model's ability to produce diverse results.
Not ideal if you are looking for a tool to train a diffusion model from scratch or if you need to fine-tune a model for tasks completely unrelated to image generation.
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Python
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Last pushed
May 03, 2025
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