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MLX-z-image
uqer1244/MLX-z-image
MLX-z-image is a text-to-image model from uqer1244. Use it when you need an image from a text prompt. It is set up for mlx. The card lists the license as apache-2.0.
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17.6 GB
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At a glance
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Apr 11, 2026
- SHA
- c88afd4c
Base models
Spaces
Model card
From the Hugging Face model README
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. It is optimized for Apple Silicon (macOS) using the MLX framework.
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.
- Original License: Apache 2.0
- Modifications: Converted Transformer and Text Encoder weights to MLX format and quantized to 4-bit.
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Created
- Dec 9, 2025
- Updated
- Apr 11, 2026