Proof-of-concept image generator that learns an energy function and lowers it iteratively instead of denoising.
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This is a research proof-of-concept image model based on energy-based modelling. Rather than denoising step by step as diffusion models do, it learns an energy function over images and generates by iteratively lowering that energy.
According to a YouTube creator review (AI Search), the released model is about 2.44 GB, and the code and training script were published. The same source describes output quality as poor, so it is a demonstration of the approach and not a practical image generator.
No official page, vendor, paper or repository URL could be confirmed from the available material, so details such as authorship, licence and exact release date are unknown.
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Proof-of-concept image generator that learns an energy function and iteratively lowers it instead of denoising like diffusion. Quality is poor; 2.44GB model with code and training script released.
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