Unconditional Image Generation
latent_diffusion
medical-imaging
diffusion
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  ### Use Case:
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  Medical researchers, AI developers, and healthcare institutions would be expected to use this system for generating synthetic MR training data, data augmentation for rare conditions, and advancing AI applications in healthcare research.
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  ### Release Date:
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  Huggingface: 10/27/2025 via https://huggingface.co/NVIDIA
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  ### Use Case:
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  Medical researchers, AI developers, and healthcare institutions would be expected to use this system for generating synthetic MR training data, data augmentation for rare conditions, and advancing AI applications in healthcare research.
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+ ## Download
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+ For example, to download the VAE, you can run:
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+ ```
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+ pip install -U huggingface_hub
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+ huggingface-cli download nvidia/NV-Generate-MR \
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+ models/autoencoder_v2.pt \
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+ --local-dir ./models
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+ ```
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+
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  ### Release Date:
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  Huggingface: 10/27/2025 via https://huggingface.co/NVIDIA
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