r/StableDiffusion Sep 11 '22

A better (?) way of doing img2img by finding the noise which reconstructs the original image Img2Img

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u/HarisTarkos Sep 11 '22

Wow, with my very little comprehension of the mechanics of diffusion i didn't think it was possible to do such a "renoising" (i thought it was a bit like finding the original content from a hash). This feels like an absolute killer feature...


u/starstruckmon Sep 12 '22

Your thought wasn't completely wrong. What you're getting here is more like an init image than noise. Even if the image was a generated one, you'd need the exact same prompt ( and some of the other variables ) used during generation to get actual gaussian noise or even close.

Since those are not available, and the prompt is guessed , what's happening here can be conceptualized more as ( essence of that picture ) - ( essence of that guessed prompt ). So the init image ( actually latents ) you're left with after this process has all the concepts of the photo that's not in the the prompt "photo of a smiling woman with brown hair" i.e. composition , background etc.

Now what that init image ( if converted to image from latents ) looks like and whether it's even comprehensible as that by the human brain, I'm not sure. It would be fascinating to see what it looks like and if it's comprehensible.


u/Bitflip01 Sep 14 '22

Am I understanding correctly that in this case the init image replaces the seed?