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StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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Thank you for this great work, but I seem to be having a trouble with my first run. I feel like this is a bug. My problems are as follows:...

Hello, thanks for this repo and all of the implementations. I have been trying to get the Implementation to work on some custom data, however, the loss curves always indicate...

thank you for your awesome work! could you please tell me how can i run the predict process?i don't want to run the train or eval process,but only want to...

I initially trained ReACGAN with 7 classes and 64x64 resolution images, I could get fair generated samples with a FID of 40 (With 50% of training I could get a...

Hi, thanks for your work. I'm trying PyTorch-StudioGAN for the first time on a custom dataset I created according to your documentation tree structure. In the training example commands, I'm...

hi, I found glob. glob (in utils.ckpt. load_StudioGAN_ckpts())returns an empty list, causing list index out of range to appear. The reason is that the folder name contains special character '=',...

When I load AGGAN-Mod, I get this error: > RuntimeError: Error(s) in loading state_dict for Generator: Missing key(s) in state_dict: "blocks.0.0.bn1.gain.weight", "blocks.0.0.bn1.bias.weight", "blocks.0.0.bn2.gain.weight", "blocks.0.0.bn2.bias.weight", "blocks.1.0.bn1.gain.weight", "blocks.1.0.bn1.bias.weight", "blocks.1.0.bn2.gain.weight", "blocks.1.0.bn2.bias.weight", "blocks.2.0.bn1.gain.weight", "blocks.2.0.bn1.bias.weight",...

When I load with the pretrained stylegan2 model, it will show the errors : Error(s) in loading state_dict for Generator: Missing key(s) in state_dict: "mapping.fc2.weight", "mapping.fc2.bias", "mapping.fc3.weight", "mapping.fc3.bias", "mapping.fc4.weight", "mapping.fc4.bias",...

Sir could you share how to use the pre-trained diffusion models.

I trying to generate Images using pretrained StyleGAN2-SPD-ADA , but this error is coming which i initially thought was due to 15 GB GPU of colab , but i tried...