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Hi~, I wonder to know what the DDIM does in the `ddim_step` of Algorithm 2 of the paper.
Could you describe intuitionally how the DDIM changes the `pred_bboxes`.
I don't get why DDIM can improve the…
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Thank you for making code publicly available.
Here are the fix in the code for multi-prompt video generation:
1. Add the following line in the argparse section
parser.add_argument("--multipro…
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I tried the summer2winter model,but the results are out of expectations,the parameters as follows:
process(input_image, 'winter', 'summer', num_samples=1, image_resolution=512, ddim_st eps=100, …
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It's an error when I run image_train.py My torch version is 1.7.1+cu110
Traceback (most recent call last):
File "scripts/image_train.py", line 83, in
main()
File "scripts/image_train.py",…
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Currently, using DDIM is very slow.
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Hi it seems the number of DDim steps for inversion is fixed :
https://github.com/MichalGeyer/plug-and-play/blob/ce9e4e23c24b4241cb9ecae9ea0b090c70871870/run_features_extraction.py#L224
Is there a …
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Hi, thanks for your interesting work.
I am struggling to reproducing the DDIM results. Did you have any experience of it?
Training 3k epochs is enough at your code.
[https://github.com/luping…
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I really appreciate your work!
But I'm confused about the input of your conditional DDIM decoder.
In your paper, you said 'For training, the stochastic subcode x_T is not needed.' So whether the inp…
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Thank you for your contribution to the direction of face change. I would like to ask whether you did not upload ddim_guided.py in ldm, which is very confusing for me, I hope you can answer it for me
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Hello, thanks for your good work!
I notice that you use DDPM in the code, which is slower than DDIM. I am curious is it possible to use the DDIM sample and add self attention mask to the DDIM process…