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Describing bug:
crashes after evaluating metrics
Training:
diffusion-stylegan2
Environment:
same with environment.yml
Cfg:
cfg=paper256 --aug no --target 0.6 --noise_sd 0.05 --ts_dist pri…
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Hello,
Can you upload the pretrained models for testing?
Thanks!
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Hi, what architecture did you use for the DCGAN/SNGAN experiments in the supplementary?
did you just concatenate learned t-embedding to the discriminator input like here ?
```
class Discriminat…
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### 🐛 Describe the bug
I am deploying a model using torchserve. It was easily deployed on Tesla K80 GPU. But now when i shifted it to newer GPU Nvidia A30. I am getting this error
```
torch…
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When computing the FID in `denoising_diffusion_pytorch.py` (as well as `denoising_diffusion_pytorch_1d.py`), the Trainer never switches the model to eval mode. This isn't an issue in the default imple…
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Hello,
First of all amazing work,
I have trouble using the docker image, since I'm facing a circular opencv import and not being able to compile with Ninja. Could you perhaps explain explicitly …
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Hi, when I want to do training I get an error when I run a command like this "python generation/train.py --data="D:\TA-152020078\dataset\Glioma_128x128" --outdir="D:\TA-152020078\results" --kimg=6000 …
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I have not seen the pre-trained model and corresponding test code you provided in your project, may I ask whether these will be released later? What is the approximate time？
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How can I create a motion npy file for my own image?