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README.md
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[](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo) 
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[](https://huggingface.co/spaces/akhaliq/Z-Image-Turbo) 
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[](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo) 
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[](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=Z_IMAGE_TURBO&modelUrl=modelscope%
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[](assets/Z-Image-Gallery.pdf) 
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[](https://modelscope.cn/studios/Tongyi-MAI/Z-Image-Gallery/summary) 
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<a href="https://arxiv.org/abs/2511.22699" target="_blank"><img src="https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv" height="21px"></a>
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## ✨ Z-Image
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Z-Image is a powerful and highly efficient image generation model
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- 🚀 **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.
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- 🧱 **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.
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- ✍️ **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.
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### 📥 Model Zoo
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| Model |
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| **Z-Image-
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| **Z-Image** |
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| **Z-Image-
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| **Z-Image-Edit** | ✅ | ✅ | ❌ | 50 | ✅ | Editing | High | Medium | Easy | *To be released* | *To be released* | | *To be released* |
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### 🖼️ Showcase
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<details>
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<summary><sup>Click here for details for why you need to install diffusers from source</sup></summary>
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We have submitted two pull requests ([#12703](https://github.com/huggingface/diffusers/pull/12703) and [#12715](https://github.com/huggingface/diffusers/pull/
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Therefore, you need to install diffusers from source for the latest features and Z-Image support.
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</details>
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[](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo) 
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[](https://huggingface.co/spaces/akhaliq/Z-Image-Turbo) 
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[](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo) 
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[](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=Z_IMAGE_TURBO&modelUrl=modelscope%253A%252F%252FTongyi-MAI%252FZ-Image-Turbo%253Frevision%253Dmaster%7D%7BOnline) 
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[](assets/Z-Image-Gallery.pdf) 
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[](https://modelscope.cn/studios/Tongyi-MAI/Z-Image-Gallery/summary) 
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<a href="https://arxiv.org/abs/2511.22699" target="_blank"><img src="https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv" height="21px"></a>
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## ✨ Z-Image
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Z-Image is a powerful and highly efficient image generation model with **6B** parameters. Currently there are three variants:
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- 🚀 **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.
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- 🧱 **Z-Image-Base** – The non-distilled foundation model. By releasing this checkpoint, we aim to unlock the full potential for community-driven fine-tuning and custom development.
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- ✍️ **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.
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### 📥 Model Zoo
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| Model | Hugging Face | ModelScope |
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| :--- |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Z-Image-Turbo** | [](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) <br> [](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo) | [](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo) <br> [](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=Z_IMAGE_TURBO&modelUrl=modelscope%3A%2F%2FTongyi-MAI%2FZ-Image-Turbo%3Frevision%3Dmaster) |
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| **Z-Image-Base** | *To be released* | *To be released* |
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| **Z-Image-Edit** | *To be released* | *To be released* |
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### 🖼️ Showcase
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<details>
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<summary><sup>Click here for details for why you need to install diffusers from source</sup></summary>
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We have submitted two pull requests ([#12703](https://github.com/huggingface/diffusers/pull/12703) and [#12715](https://github.com/huggingface/diffusers/pull/12704)) to the 🤗 diffusers repository to add support for Z-Image. Both PRs have been merged into the latest official diffusers release.
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Therefore, you need to install diffusers from source for the latest features and Z-Image support.
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</details>
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