Instructions to use themindstudio/Lens-Turbo-mlx-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use themindstudio/Lens-Turbo-mlx-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download themindstudio/Lens-Turbo-mlx-6bit --local-dir Lens-Turbo-mlx-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Verified signature# Lens-Turbo-MLX-6bit This repository contains the 6-bit quantized version of Microsoft's Lens-Turbo text-to-image model, optimized for Apple Silicon using MLX. Lens-Turbo is a fast, lightweight 3.8B parameter text-to-image transformer. Quantized to 6-bit, the model size is reduced to approximately 3.3 GB, allowing it to run smoothly on Macs with 8GB or 16GB of unified memory without triggering Metal GPU watchdog timeouts. ## Model Details - **Original Model:** [microsoft/Lens-Turbo](https://huggingface.co/microsoft/Lens-Turbo) - **MindCraft Studio:** [MindCraft Studio Homepage](https://themindstudio.cc/mindcraft) - **Quantization:** 6-bit weight-only quantization (quantize=6) via MLX. - **Inference Steps:** Recommended 4 steps. - **Guidance Scale:** 1.0 (CFG is disabled/forced to 1.0 for the Turbo architecture). ## How to Use in MindCraft Studio 1. Open MindCraft Studio. 2. Go to **Settings** -> **Model Library** -> **Import Local Model**. 3. Point to this directory. 4. The model will…d7cc0e8 -
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