Instructions to use MedMLX/lesiondiffusion-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/lesiondiffusion-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/lesiondiffusion-mlx --local-dir lesiondiffusion-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
2 days ago
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Use the upstream MIT license text; Python 3.13 only
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3 days ago
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Update model card for current runtime release
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Link and cite the MedMLX paper
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4 days ago
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Add lesiondiffusion-mlx README image
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License the weights as MIT
Verified signatureThe LesionDiffusion authors publish the project, including its pretrained weights, under MIT.13c4c73 -
Fill model card metadata gaps
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Install the published PyPI release
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5 days ago
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Fix native weight download command
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Update model access and native runtime guidance
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7 days ago
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Link upstream paper references
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10 days ago
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Simplify model card with concise usage and MedMLX branding
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11 days ago
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Update v0.2.1 inference API and bundle metadata
Verified signatureRetain the exact converted tensors and tokenizer, preserve private archive and upstream component terms, and remove the superseded loader patch.643bf83
19 days ago
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Document clean environment and private repository setup
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Publish one FP32 safetensors checkpoint with native usage instructions
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Add native MLX model card and conversion guide
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initial commit
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