Instructions to use LumeryApp/Boogu-Image-0.1-Edit-Turbo-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LumeryApp/Boogu-Image-0.1-Edit-Turbo-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Boogu-Image-0.1-Edit-Turbo-MLX LumeryApp/Boogu-Image-0.1-Edit-Turbo-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Boogu-Image 0.1 Edit-Turbo β MLX (LumeryApp)
MLX-format conversion of Boogu-Image 0.1 Edit-Turbo β the few-step distilled instruction-based image-editing checkpoint from the Boogu project β packaged for on-device inference in Lumery on Apple Silicon.
- Format: MLX, BF16 weights, laid out as
dit/,encoder/(multimodal),vae/. - Upstream:
Boogu/Boogu-Image-0.1-Edit-Turbo, Β© the Boogu team, licensed Apache-2.0. - Modifications: conversion of the original weights to MLX safetensors and the directory layout Lumery's loader expects. No retraining; behaviour is unchanged beyond format.
Provenance & attribution
This is an unofficial community conversion. It is not affiliated with,
endorsed by, or maintained by the Boogu team β all model and research credit belongs to
the Boogu project. See NOTICE for the Apache-2.0 attribution.
License
Apache License 2.0, inherited from upstream. Full terms:
http://www.apache.org/licenses/LICENSE-2.0. See NOTICE for required
attribution and the list of changes.
Model tree for LumeryApp/Boogu-Image-0.1-Edit-Turbo-MLX
Base model
Boogu/Boogu-Image-0.1-Edit-Turbo