Comments (3)
In our paper, we state that our prompt design and optimization scheme exhibit high similarity with PEZ. However, it is worth noting that we adapt their method by incorporating the regression loss of the noise prediction from the unconstrained T2I model
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Thank you for your response. I agree with you. The authors should emphasize the difference with PEZ in the related work, and add comparison experiment with PEZ.
I apologize for my impulsiveness in posting my opinion in a public place without communicating with the author. And apologies for the impact on the author's reputation.
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Hello both @joycenerd and @shudong-zhang , I found this post by searching for "hard prompt made easy" because I was searching for its appliucation with Stable diffusion.
My question: is there an extension or any easy method how to use this P4D new technology with Stable diffusion or similar (ComfyUI) ? even a SIMPLE EXAMPLE how to apply it would be welcome please?
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