Open clarencechen opened 7 months ago
hey @sayakpaul i'd like to work on this. can you assign this to me?
Sure, feel free to start a PR :)
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Hi, you can use my code as reference: https://github.com/garibida/ReNoise-Inversion
thanks @garibida
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Model/Pipeline/Scheduler description
Achieving faithful image-to-noise inversion with Denoising Diffusion models remains a challenge, particularly for more recent models trained to generate images with a small number of denoising steps. This work introduces an inversion method with a high quality-to-operation ratio, enhancing reconstruction accuracy without increasing the number of operations. Building on reversing the diffusion sampling process, the method applies multiple fixed-point iterations to estimate the next inversion target at each noise level, and then averages the predictions to empirically increase image reconstruction quality. Furthermore, this method preserves editability through optimizing noise regularization losses in a fashion similar to Pix2PixZero.
Open source status
Provide useful links for the implementation
StableDiffusionPix2PixZeroPipeline
based on the pseudocode and discussions in the paper.