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### Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits of both this extension and the webui
### Have you read FAQ on README?
- [X] …
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Hi, thanks for releasing this amazing project. From my best understanding, current demo code does not use DDIM inversion during inference as the x_T variable is None in the following line? If so, coul…
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Hi there,
First of all, thanks so much for providing the high-quality results and detailed codebase!
There's one question that seems not mention in the paper. What is the training data that is …
YiruS updated
2 months ago
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Good Afternoon,
Firstly, Thank you for your great effort on implementing DDIM,
I have seen a lot of DDPM implementation, but less on DDIM implementation. I have learned alot on the current code
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Hi, thanks for sharing your excellent work!
I just walked through the code base and noticed that during sampling you used timestamp t from 0 to 999 (see [here](https://github.com/voletiv/mcvd-pytor…
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Hey @sunovivid, great work, and congrats on the paper's acceptance at ECCV!
I would like to reproduce the results, and I have the following questions related to the hyperparameters:
1. **How man…
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This is a very interesting work. I tried to use the pretrained model on a dataset of mine with its captions and its masks computed with `make_mask.py`.
However, I encountered an error when using `pyt…
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When I choose DDIM as sampler method, the results are bad. The results from PNDM sampler method are great.
I want to know the scheduler configs when using DDIM sampler method.
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`python main.py -c configs/cocostuff_SD1_5.json`
got the error
> Traceback (most recent call last):
File "main.py", line 38, in
ddpm_model = get_DDPM(
File "/opt/data/private/layout_…
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run_celeba64.py seems not to generate last.ckpt for latent-ddim. The training can not continue.