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nupurkmr9 avatar nupurkmr9 commented on August 15, 2024 3

Hi,

Prompt-to-prompt can be used with our diffusers-based training and models.

The original prompt-to-prompt might need to be changed for diffusers==0.14.0.
I have uploaded a working implementation here. The main changes involve the ldm_stable model load and minor modifications in register_attention_control.

Another thing that needs to be changed in prompt-to-prompt is here to the below line.

noise_pred = model.unet(latents_input, t, context)["sample"]

Let me know if you still face any issues. Thanks!

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yuxu915 avatar yuxu915 commented on August 15, 2024

@nupurkmr9 Hi, thanks for you work, I'd like to ask if you have attention_map visualization codes which are not based on diffusers? Really thanks for your help!

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nupurkmr9 avatar nupurkmr9 commented on August 15, 2024

Hi, I always used the diffusers based implementation for attention map visualization. Thanks.

from custom-diffusion.

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