Comments (6)
@johnwon2007 You are right! I have fixed this.
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Thanks! I have updated the model link.
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doesn/t the line in main.py need to be changed in order to use the new zero-xl.ckpt? or no
around line 200
parser.add_argument('--zero123_ckpt', type=str, default='./pretrained/zero123/105000.ckpt', help="ckpt for zero123")
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how to test zero123 with the newest zero123-xl.ckpt? thanks...
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@ashawkey @stas-polukeev I am curious what is the license for zero123-xl, thanks a lot!
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@wangjksjtu I would assume they are the same, because the only difference is the training data, but i could be wrong.
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Related Issues (20)
- Error running DeepFloyd-IF only
- Zero123 on multiple images HOT 3
- Assertion Error Torch not compiled with Cuda HOT 2
- Possible bug when "as_latent" is used?
- Inaccurate grad scale with the new sds loss HOT 1
- TypeError: grid_encode_forward(): incompatible function arguments. HOT 1
- TypeError: forward() takes 2 positional arguments but 4 were given HOT 4
- Colab error: ModuleNotFoundError: No module named '_gridencoder' HOT 5
- Question about replace the training dataset
- AttributeError: module 'pymeshlab' has no attribute 'Percentage' when export mesh. HOT 1
- Replace Text with audio+Text
- Colab install dependencies error HOT 3
- Tutorial about the project HOT 1
- Getting Bus Error
- Questions about the classifier-free guidance.
- Error Installing Dependencies on Google Colab HOT 2
- Raymarching fails to install, cant find c++17 for PyTorch, SOS help HOT 1
- ninja: build stopped: subcommand failed. HOT 4
- ['TORCH_CUDA_ARCH_LIST']. HOT 1
- Urgent error: bash scripts/install_ext.sh error: Command '['ninja', '-v']' returned non-zero exit status 1. HOT 1
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