Instructions to use deepsweet/Z-Image-Turbo-6B-MLX-Q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use deepsweet/Z-Image-Turbo-6B-MLX-Q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Z-Image-Turbo-6B-MLX-Q4 deepsweet/Z-Image-Turbo-6B-MLX-Q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 817 Bytes
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language: en
license: apache-2.0
pipeline_tag: text-to-image
tags:
- image-generation
- image-editing
- mlx
library_name: mflux
base_model: Tongyi-MAI/Z-Image-Turbo
---
This model was converted to MLX format from [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) using [MFLUX](https://github.com/filipstrand/mflux) v0.17.5.
## Usage example:
```sh
uv tool install mflux
```
```sh
mflux-generate-z-image-turbo --base-model z-image-turbo --model deepsweet/Z-Image-Turbo-6B-MLX-Q4 --width 800 --height 592 --steps 9 --output image.png --prompt "A red fox resting in fresh snow under soft winter light, detailed fur, gentle bokeh, natural color grading"
```
See [official README](https://github.com/filipstrand/mflux/blob/main/src/mflux/models/z_image/README.md) for more details. |