👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high fidelity and garment consistency for virtual try-on.
Thank you for publishing this repo...
Running this project in the Google Colab environment with a GPU. I've successfully ran inference_IMAGdressing.py, but inference_IMAGdressing_controlnetinpainting.py is another story.
RuntimeError: Device type CUDA is not supported for torch.Generator() api.
/usr/local/lib/python3.10/site-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
/usr/local/lib/python3.10/site-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
Traceback (most recent call last):
File "/content/IMAGDressing/inference_IMAGdressing_controlnetinpainting.py", line 179, in <module>
pipe, generator = prepare(args)
File "/content/IMAGDressing/inference_IMAGdressing_controlnetinpainting.py", line 63, in prepare
generator = torch.Generator(device=args.device).manual_seed(42)
RuntimeError: Device type CUDA is not supported for torch.Generator() api.
Any idea on how to fix this?
Outside of installing the requirements, I've had to also install
Thank you for publishing this repo... Running this project in the Google Colab environment with a GPU. I've successfully ran inference_IMAGdressing.py, but inference_IMAGdressing_controlnetinpainting.py is another story.
!python inference_IMAGdressing_controlnetinpainting.py --cloth_path ../tee.jpg --model_path ../person.png --model_ckpt ../drive/MyDrive/IMAGDressing-v1_512.pt
Yields the following error:
RuntimeError: Device type CUDA is not supported for torch.Generator() api.
Any idea on how to fix this?
Outside of installing the requirements, I've had to also install
It would be helpful if this was included in the README.