⚡️- Image
_{^{An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer}}

Welcome to the official repository for the Z-Image（造相）project!

Z-Image is a powerful and highly efficient image generation model family with 6B parameters. Currently there are four variants:

🚀 Z-Image-Turbo – A distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers ⚡️sub-second inference latency⚡️ on enterprise-grade H800 GPUs and fits comfortably within 16G VRAM consumer devices. It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence.
🎨 Z-Image – The foundation model behind Z-Image-Turbo. Z-Image focuses on high-quality generation, rich aesthetics, strong diversity, and controllability, well-suited for creative generation, fine-tuning, and downstream development. It supports a wide range of artistic styles, effective negative prompting, and high diversity across identities, poses, compositions, and layouts.
🧱 Z-Image-Omni-Base – The versatile foundation model capable of both generation and editing tasks. By releasing this checkpoint, we aim to unlock the full potential for community-driven fine-tuning and custom development, providing the most "raw" and diverse starting point for the open-source community.
✍️ Z-Image-Edit – A variant fine-tuned on Z-Image specifically for image editing tasks. It supports creative image-to-image generation with impressive instruction-following capabilities, allowing for precise edits based on natural language prompts.

Model	Pre-Training	SFT	RL	Step	CFG	Task	Visual Quality	Diversity	Fine-Tunability	Hugging Face	ModelScope
Z-Image-Omni-Base	✅	❌	❌	50	✅	Gen. / Editing	Medium	High	Easy	To be released	To be released
Z-Image	✅	✅	❌	50	✅	Gen.	High	Medium	Easy	[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Checkpoint%20-

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本数据集的许可证为 Apache License 2.0。如有违反相关条款，请联系 WEHUB，我们将及时处理。查看许可证