---
library_name: mlx
tags:
- mlx
- diffusion
- text-to-image
- 4-bit
base_model: Tongyi-MAI/Z-Image-Turbo
license: apache-2.0
---

# uqer1244/MLX-z-image
https://github.com/uqer1244/MLX_z-image

This is a **4-bit quantized MLX version** of [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo).
It is optimized for Apple Silicon (macOS) using the [MLX framework](https://github.com/ml-explore/mlx).

## Model Details
- **Transformer**: MLX 4-bit quantized
- **Text Encoder**: MLX 4-bit quantized (Qwen3)
- **VAE**: Original PyTorch Model (Sourced from original repo)
- **Tokenizer**: Original Qwen2 Tokenizer (Sourced from original repo)
- **Scheduler**: MLXFlowMatchEulerScheduler

## Usage
This model can be used with the custom MLX pipeline script.
Please refer to the original repository for detailed usage instructions regarding the model architecture.

## Attribution & License
This model is a derivative work of [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo).
- **Original License**: Apache 2.0
- **Modifications**: Converted Transformer and Text Encoder weights to MLX format and quantized to 4-bit.