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ICLR 2024 (Spotlight)

Results 21 DragonDiffusion issues
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a quick start on gradio demo。 how about without gr?

Hi, I really appreciate the work than enables drag based image editing in diffusion models. The results look good. One thing curious is about the loss function design. In equation...

![微信图片_20240408110604](https://github.com/MC-E/DragonDiffusion/assets/140788076/61bbe6cc-7933-4200-8858-d7873eca1529) I don't understand why reference region was labeled this way. Please reply, thanks.

Hi. It seems that the learnable query in the code is randomly initialized. (src/unet/attention_processor.py class Resampler line 321). Besides, there does not appear to be any other initialization of the...

Could you release the test set or share the corresponding code to obtain your test set?

点击Edit后,DDIM Inversion结束以后,Start Editing开始即报错。Log如下 Seed set to 42 DDIM Inversion: 100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:06

Hey! I found your work very interesting. However I have a couple of questions concerning the naming of arguments in ``` Sampler.guidance_move( mask_x0, mask_x0_ref, mask_tar, mask_cur, mask_other, mask_overlap, mask_non_overlap, ......

I've tried face modulation with default set in demo but it's not helpful nor similar enough. How to set? The last image shows that the points are moving correctly while...

I wonder if there are any guides for the hyperparameter settings. I tried object pasting on jack daniel, but the object is distorted. Are there any suggestions to preserve the...

Thanks for the great research and for releasing the code. Unfortunately the code was difficult to install, at least on an Ubuntu Linux machine (_e.g._ bugs relating to the very...