Z-Image GitHub Repository
Z-Image open source main repository, containing complete model code and documentation, 6B parameter efficient image generation model
Overview
Z-Image is a powerful and efficient image generation model with 6B parameters. Currently there are three variants: Z-Image-Turbo (distilled version, only 8-step inference), Z-Image-Omni-Base (base model) and Z-Image-Edit (image editing variant).
Features
- 6B parameter lightweight model with sub-second inference latency on enterprise-grade H800 GPUs
- Runs on consumer devices with 16G VRAM
- Photorealistic image generation
- Accurate bilingual text rendering in English and Chinese
- Strong instruction following capabilities
- Scalable Single-Stream DiT (S3-DiT) architecture
Images
Installation
pip install -e .
Usage
python inference.py
Requirements
- Python 3.8+
- CUDA 11.0+
- 8GB+ VRAM (16GB recommended)
- Latest diffusers: pip install git+https://github.com/huggingface/diffusers
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