unsloth/Z-Image-Turbo-GGUF

text-to-image model by unsloth

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⚡️- ImageAn Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer [](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 is a powerful and highly efficient image generation model with 6B parameters. Currently there are three variants: 📸 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. 💡 Prompt Enhancing & Reasoning: Prompt Enhancer empowers the model with reasoning capabilities, enabling it to transcend surface-level descriptions and tap into underlying world knowledge. 🧠 Creative Image Editing: Z-Image-Edit shows a strong understanding of bilingual editing instructions, enabling imaginative and flexible image transformations. We adopt a…

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Unsloth Dynamic 2.0

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Model overview

unsloth/Z-Image-Turbo-GGUF is a text-to-image model repository published by unsloth on Hugging Face. The source reports the ggml library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: text-to-image
Library: ggml
Recent downloads (30 days): 1,063,867
Cumulative likes: 295
Hugging Face trending score: 7
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2025-12-21T22:47:59.000Z
Last modified: 2026-10-29T08:24:01.000Z

Compatibility and lineage

Reported languages: en

Reported base models: Tongyi-MAI/Z-Image-Turbo

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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