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Can you please explain why, when using the Euler scheme without modifications with the controllers from the article (the case when gamma=0 and eta=0), the reconstruction and the edited image do not fall into the data distribution? Is it because such a large computational error accumulates or why?
I attach an example for prompts 'a cat' for the reconstruction (guidance_scale=1.) and 'a tiger' for the editing (guidance_scale=3.5).
The text was updated successfully, but these errors were encountered:
Hi Alexandra, thanks for your interest in our paper. Are you using the prompt 'a cat' with guidance scale 1.0 while inverting the cat image with gamma=0? If yes, then this is wrong because you are removing the catness along with inverting the image. The catness comes from the text conditional score for nonzero guidance. Ideally, you would want to invert with zero guidance scale (no text conditioning), which would preserve catness in the structured noise y_1. Then, if you initialize the reverse flow with y_1, you should get more cat looking image in reconstruction. Please let me know if this resolves your concern. Happy to provide any further clarifications.
Can you please explain why, when using the Euler scheme without modifications with the controllers from the article (the case when gamma=0 and eta=0), the reconstruction and the edited image do not fall into the data distribution? Is it because such a large computational error accumulates or why?
I attach an example for prompts 'a cat' for the reconstruction (guidance_scale=1.) and 'a tiger' for the editing (guidance_scale=3.5).
The text was updated successfully, but these errors were encountered: