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dmolino
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text2ct-weights

Text-to-3D
English
LDM+VAE
medical
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xet
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text2ct-weights

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  1. Update README.md

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  2. Update README.md

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  1. Update README.md

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  2. Create config.json

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  3. Rename config_rflow.json to configs/config_rflow.json

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  4. Upload config_rflow.json

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  5. Rename unet_rflow_200ep.pt to models/unet_rflow_200ep.pt

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  6. Rename autoencoder_epoch273.pt to models/autoencoder_epoch273.pt

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  7. Rename CLIP3D_Finding_Impression_30ep.pt to models/CLIP3D_Finding_Impression_30ep.pt

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  1. Rename unet_rflow_200ep.bin to unet_rflow_200ep.pt

    dmolino
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  2. Rename autoencoder_epoch273.bin to autoencoder_epoch273.pt

    dmolino
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  3. Rename CLIP3D_Finding_Impression_30ep.bin to CLIP3D_Finding_Impression_30ep.pt

    dmolino
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  4. Rename pytorch_model.bin to unet_rflow_200ep.bin

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  5. Rename unet_rflow_200ep.bin to pytorch_model.bin

    dmolino
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  6. Rename unet_rflow_200ep.pt to unet_rflow_200ep.bin

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    b84d113

  7. Rename autoencoder_epoch273.pt to autoencoder_epoch273.bin

    dmolino
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    60140ab

  8. Rename CLIP3D_Finding_Impression_30ep.pt to CLIP3D_Finding_Impression_30ep.bin

    dmolino
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  1. Update README.md

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  1. Upload unet_rflow_200ep.pt with huggingface_hub

    dmolino
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    492b551

  2. Delete unet_rflow_200ep.safetensors with huggingface_hub

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  3. Delete unet_rflow_200ep.pt with huggingface_hub

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  4. Upload unet_rflow_200ep.safetensors with huggingface_hub

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  5. Create README.md

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  6. Add Text2CT checkpoints

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  7. initial commit

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