Update model card for current runtime release

README.md

@@ -20,7 +20,7 @@ pipeline_tag: image-to-image
 
 Synthesize lesions in CT with native MLX using the released LMNet, LINet and VQ components.
 
-[GitHub](https://github.com/MedMLX/lesiondiffusion-mlx) · [Files](https://huggingface.co/MedMLX/lesiondiffusion-mlx/tree/main) · [Docs](https://github.com/MedMLX/lesiondiffusion-mlx/blob/main/README.md#quick-start) · [Paper](https://doi.org/10.64898/2026.10.28.26366762)
+[GitHub](https://github.com/MedMLX/lesiondiffusion-mlx) · [Files](https://huggingface.co/MedMLX/lesiondiffusion-mlx/tree/main) · [Docs](https://github.com/MedMLX/lesiondiffusion-mlx/blob/main/README.md#run) · [Paper](https://doi.org/10.64898/2026.10.28.26366762)
 
 | Input | Output |
 | :--- | :--- |
@@ -28,15 +28,13 @@ Synthesize lesions in CT with native MLX using the released LMNet, LINet and VQ
 
 **Apple Silicon · Metal · Python 3.13 / 3.14**
 
-The weights are available from this model repository. The source repository is private, so installing the current runtime requires GitHub access.
-
 ## Quick start
 
 ```bash
 uv venv --python 3.13
 source .venv/bin/activate
 
-uv pip install "lesiondiffusion-mlx>=0.2.4"
+uv pip install "lesiondiffusion-mlx>=0.2.6"
 uv tool install huggingface-hub
 
 hf download MedMLX/lesiondiffusion-mlx model.safetensors tokenizer.json conversion.json --revision d00bbb8ad1c7170062f60b4386a38c3a4178f7ce --local-dir models