Passenger12138

Hi, I try to run net-dissect-lite on **win10. pytorch 1.9.0, torchvision0.10.0**, I run it through python main.py, but I encountered an error **"OverflowError: timeout value is too large"** when extracting...

About using pytorch to read pre-trained models

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I need to reproduce stylegan based on the pytorch framework。 I found many pre-trained models here, thank you very much for your input, but they are all implemented based on...

ffhq train

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I would like to know when you train ffhq -use_fp16 parameter Settings, if you can provide training ffhq training Settings more extended than in the paper similar to the following...

I am now training on the celebA dataset. I am not sure whether the training results are not good because of the unreasonable settings of the training hyperparameters or the...

Hello, I noticed that you used ssd-sngan to conduct experiments on the lsun-bedrrom dataset, can you please provide its pre-trained model thanks

training error

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I downloaded the source code for stylegan and tried to run it on my machine. but the model cannot be successfully trained. This is my error message My machine is...

Question About register_cross_attention_hook and replace_call_method_for_sd3 in Attention Map Visualization

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Hello, First of all, thank you for your excellent work on visualizing attention maps for DiT (Diffusion Transformer). I am currently extending your approach to visualize attention maps for **video-based...

### System Info / 系統信息 visualize attention maps for video generation models based on the Diffusers Transformer。 ### Information / 问题信息 - [ ] The official example scripts / 官方的示例脚本...

teacache in diffusers

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Thanlks your good work. I just want to know if you willl plan intergration this repo to diffusers for more model easy use

torch.compile + channels_last support for Wan 2.2 (T2V / I2V) fails with RuntimeError + Dynamo Unsupported behavior

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### Describe the bug ## Hi, I am trying to optimize Wan 2.2 T2V / I2V inference speed on a single RTX 4090, using: 1 Wan2.2 (Diffusers) 2 LightX2V LoRA...