Model reference · open weights
Z-Image is an open-weight image model from unsloth, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
[!NOTE] This is a GGUF quantized version of Z-Image-Turbo. unsloth/Z-Image-Turbo-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. Important layers are upcasted to higher precision. Samples [](https://tongyi-mai.github.io/Z-Image-blog/)  [](https://github.com/Tongyi-MAI/Z-Image)  [](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)  [](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo)  [](https://huggingface.co/spaces/akhaliq/Z-Image-Turbo)  [](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo)  [](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=ZIMAGETURBO&modelUrl=modelscope%253A%252F%252FTongyi-MAI%252FZ-Image-Turbo%253Frevision%253Dmaster%7D%7BOnline)  [](assets/Z-Image-Gallery.pdf)  [](https://modelscope.cn/studios/Tongyi-MAI/Z-Image-Gallery/summary)  Welcome to the official repository for the Z-Image（造相）project! ✨ Z-Image Z-Image is a powerful and highly efficient image generation model with 6B parameters. Currently there are three 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-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. - ✍️ 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 Zoo 🖼️ Showcase 📸 Photorealistic Quality: Z-Image-Turbo delivers strong photorealistic image generation while maintaining excellent aesthetic quality. 📖 Accurate Bilingual Text Rendering: Z-Image-Turbo excels at accurately rendering complex Chinese and English text. 💡
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | unsloth |
|---|---|
| Type | Image models |
| Variants | 1 |
| Runs with | ggml |
| Based on | Tongyi-MAI/Z-Image-Turbo |
| Released | 2025-12-21 |
| Popularity | 76k downloads / month |
| Likes | 253 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Z-Image-Turbo-GGUF | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys unsloth-z-image for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (unsloth-z-image below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"unsloth-z-image","prompt":"a red bicycle","size":"1024x1024"}'
Details
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Papers
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗