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When I run this code, an error occurred in the function of latent2image. image = car.decode(latents)[“samples”] too may indices for tensor of dimension 4
Some cosmetic changes to README for better formatting/readability
Dear @amirhertz , Thank you for sharing this great work, I really like it. Do you have plan to release the codes for real image editing in section 4.1? Thank...
Thanks for your research :) I wonder that this robust image editing method by attention injection can be adapted to custom class like Dreambooth research. Ex) Photo of a cat...
Dear authors, Thank you for sharing these interesting & fun research and releasing the source codes! I was playing with the source codes and found that, for some examples, the...
Hey, I encounter a weird issue that when I use p2p, the reconstruction of the original image (which is successfully reconstructed before by null-text inversion) has errors: My original and...
I meet a lot of questions due to the version, and couldn't solve it.
Hi, I wonder how these figures were obtained. SVD on self-attention map would produce U, S, and V.T. How did you obtain the figures?? 
Hello, thank you for your excellent work. I would like to ask if you will provide null text inversion support on SDXL in the future ?
i liked your DDS paper a lot, thanks for sharing your code! It would be really great if you could explain the math/derivation of the SDS loss you're using; specifically,...