Downloads · 30 days
0
MLX-z-image-Base
uqer1244/MLX-z-image-Base
MLX-z-image-Base 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.
https://github.com/uqer1244/MLXz-image-base
Access
Public
Updated Jan 28, 2026
Repo size
6.6 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.safetensors6.5 GB · 100%
At a glance
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Access
- Public
- Created
- Jan 28, 2026
- Updated
- Jan 28, 2026
- SHA
- af110991
Base models
Model card
From the Hugging Face model README
uqer1244/MLX-z-image-Base
https://github.com/uqer1244/MLX_z-image-base
This is a 4-bit quantized MLX version of Tongyi-MAI/Z-Image. 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 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.
- 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
- Jan 28, 2026
- Updated
- Jan 28, 2026