Unconditional Image Generation
MLX
Safetensors
English
medical-imaging
apple-silicon
research
inference
Instructions to use MedMLX/mlx-generate-ctmr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/mlx-generate-ctmr with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/mlx-generate-ctmr --local-dir mlx-generate-ctmr
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download ct/conversion.json from MedMLX/mlx-generate-ctmr: direct link, hf CLI and curl.
- Browser
- Download file 2.4 kB
-
https://huggingface.co/MedMLX/mlx-generate-ctmr/resolve/main/ct/conversion.json
- Command line
-
hf download hf://MedMLX/mlx-generate-ctmr/ct/conversion.json
-
curl -L -o conversion.json https://huggingface.co/MedMLX/mlx-generate-ctmr/resolve/main/ct/conversion.json
2.4 kB
| { | |
| "configuration": "ct", | |
| "destination_dtype": "float32", | |
| "networks": { | |
| "controlnet": { | |
| "copied_from_unet": [], | |
| "destination_dtype": "float32", | |
| "dropped_keys": [], | |
| "file": "model.safetensors", | |
| "parameter_count": 72037072, | |
| "tensor_count": 231, | |
| "tensor_prefix": "controlnet." | |
| }, | |
| "unet": { | |
| "copied_from_unet": [], | |
| "destination_dtype": "float32", | |
| "dropped_keys": [], | |
| "file": "model.safetensors", | |
| "parameter_count": 180500868, | |
| "scale_factor": 1.0311251878738403, | |
| "tensor_count": 435, | |
| "tensor_prefix": "unet." | |
| }, | |
| "vae": { | |
| "copied_from_unet": [], | |
| "destination_dtype": "float32", | |
| "dropped_keys": [], | |
| "file": "model.safetensors", | |
| "parameter_count": 20944897, | |
| "tensor_count": 130, | |
| "tensor_prefix": "vae." | |
| } | |
| }, | |
| "source": { | |
| "monai": { | |
| "distribution_version": "1.6.0", | |
| "path": "third_party/monai/MONAI", | |
| "revision": "eccefc57550b111ed781d82249dfe77872a0e918" | |
| }, | |
| "nv_generate_ctmr": { | |
| "path": "third_party/nv_generate_ctmr/NV-Generate-CTMR", | |
| "revision": "5cb04e82fed71f2fe64a2617ab695be1f5a37fea" | |
| }, | |
| "weights": { | |
| "checkpoints": { | |
| "controlnet": { | |
| "filename": "models/controlnet_3d_rflow-ct.pt", | |
| "repo": "nvidia/NV-Generate-CT", | |
| "revision": "48a68e95c77a095870e3374f5b2cca1dd211f317", | |
| "url": "https://huggingface.co/nvidia/NV-Generate-CT/resolve/48a68e95c77a095870e3374f5b2cca1dd211f317/models/controlnet_3d_rflow-ct.pt" | |
| }, | |
| "unet": { | |
| "filename": "models/diff_unet_3d_rflow-ct.pt", | |
| "repo": "nvidia/NV-Generate-CT", | |
| "revision": "48a68e95c77a095870e3374f5b2cca1dd211f317", | |
| "url": "https://huggingface.co/nvidia/NV-Generate-CT/resolve/48a68e95c77a095870e3374f5b2cca1dd211f317/models/diff_unet_3d_rflow-ct.pt" | |
| }, | |
| "vae": { | |
| "filename": "models/autoencoder_v1.pt", | |
| "repo": "nvidia/NV-Generate-CT", | |
| "revision": "48a68e95c77a095870e3374f5b2cca1dd211f317", | |
| "url": "https://huggingface.co/nvidia/NV-Generate-CT/resolve/48a68e95c77a095870e3374f5b2cca1dd211f317/models/autoencoder_v1.pt" | |
| } | |
| }, | |
| "repo": "nvidia/NV-Generate-CT", | |
| "revision": "48a68e95c77a095870e3374f5b2cca1dd211f317" | |
| } | |
| }, | |
| "weights_in_git": false | |
| } | |