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First of all, thanks for such an amazing work. The results in the paper looks pretty fascinating. I tried to use exactly the same code without changing anything (even installing the correct package, i.e. diffuser 0.15.0) but got unexpected result. Here are the two results for test case: person, and corgi.
As u can see, this code might work for corgi test case but not for person. Could I ask if u also got the same result from your side? Many thanks
The text was updated successfully, but these errors were encountered:
Thanks for your interest. I have checked my original implementation to edit the person. You may pass the intermediate inverted features latents_list to the editing process to reproduce the results presented in the paper.
Thanks for your quick response. Here is what I have after following your instruction:
The result seems to improve a bit. Does this suggest that I have to manually observe the result to decide whether to pass the intermediate inverted features for every single case? Many thanks!
Hi,
First of all, thanks for such an amazing work. The results in the paper looks pretty fascinating. I tried to use exactly the same code without changing anything (even installing the correct package, i.e. diffuser 0.15.0) but got unexpected result. Here are the two results for test case: person, and corgi.
As u can see, this code might work for corgi test case but not for person. Could I ask if u also got the same result from your side? Many thanks
The text was updated successfully, but these errors were encountered: