Comments (2)
Hi, we have add two-GPU support for the demo app. Please checkout the newest code and README.
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您好,我们为演示应用程序添加了两个 GPU 支持。请查看最新的代码和 README。
Thank you very much for having solved the dual GPU perfectly!
from instantmesh.
Related Issues (20)
- Training time?
- RuntimeError: handle_0 INTERNAL ASSERT FAILED at "../c10/cuda/driver_api.cpp":15, please report a bug to PyTorch.` HOT 2
- not all arguments converted during string formatting log HOT 2
- How to Improve Texture Quality and is there a way to tweak the model generation part by providing the normal maps?
- Torch cache not releasing
- Command '['ninja', '-v']' returned non-zero exit status 1 HOT 1
- Loading diffusion model ... Error HOT 1
- IndexError: too many indices for tensor of dimension 2
- Using other multi view models? HOT 1
- Camera Augmentation in the released training code
- 编译中断问题
- 怎么配置数据集文件
- What is I wish to generate the mesh with multiple images ? - I have front view, left view, right view and back view of a chair - how can I create a mesh utilising all these images ? HOT 13
- Cuda version error when duplicating space on Hugging Face
- could you provide the rendering scripts to evalutate ? HOT 1
- 8GB of models downloading every time I launch app.py
- can providing good quality of image will not impact quality HOT 2
- INTERNAL ASSERT FAILED after generating multiviews
- Training CUDA Out Of Memory error HOT 5
- How to get the quantitative results as reported in the paper HOT 1
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