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AIUI diffusion models of images are trained to make a noisy image into an image without noise (reverse diffusion). Then when an image is required, the system st
by pbhjpbhj 2y ago
AIUI diffusion models of images are trained to make a noisy image into an image without noise (reverse diffusion). Then when an image is required, the system starts with white noise, and maybe a prompt, and then iteratively performs reverse diffusion - guided by the prompt - to produce a final image.
You can enhance an image by [forward] diffusing it, then feeding it to the NN created to perform the reverse diffusion.
- astrange 2y agoThat's the idea behind how they work, but cold diffusion and latent consistency models show that you don't actually need any particular step.