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README.md
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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language:
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- en
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pipeline_tag: text-to-image
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base_model: Tongyi-MAI/Z-Image
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tags:
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- gguf
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- safetensors
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- text-to-image
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- rundiffusion
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- z-image
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- fast
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---
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<div align="center">
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<a href="https://www.rundiffusion.com/?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_fast&utm_content=header_logo">
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<img src="https://huggingface.co/RunDiffusion/Juggernaut-Z-Image-Fast/resolve/main/assets/RD_Mark.png" alt="RunDiffusion" width="110" />
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</a>
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<h1>Juggernaut Z Fast by RunDiffusion</h1>
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<p><i>Fast-release artifacts for Juggernaut Z, including safetensors and GGUF quantizations.</i></p>
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</div>
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This repository hosts the official RunDiffusion Fast release artifacts for Juggernaut Z. The repo is organized to match the root-file layout of `RunDiffusion/Juggernaut-Z-Image`, with standalone `.safetensors` and `.gguf` variants at the repository root.
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## Files In This Repo
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| File | Format | Notes |
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| --- | --- | --- |
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| `JuggernautZ_Fast_by_RunDiffusion.safetensors` | safetensors | Original Fast release weights |
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| `Juggernaut_Z_V1_Fast_FP16.safetensors` | safetensors fp16 | Half-precision Fast weights |
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| `Juggernaut_Z_V1_Fast_FP8_e4m3fn.safetensors` | safetensors fp8 e4m3fn | Lower VRAM footprint |
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| `Juggernaut_Z_V1_Fast_by_RunDiffusion_q8_0.gguf` | GGUF q8_0 | Highest-quality quant |
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| `Juggernaut_Z_V1_Fast_by_RunDiffusion_q6_k.gguf` | GGUF q6_k | |
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| `Juggernaut_Z_V1_Fast_by_RunDiffusion_q5_k_m.gguf` | GGUF q5_k_m | |
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| `Juggernaut_Z_V1_Fast_by_RunDiffusion_q5_k_s.gguf` | GGUF q5_k_s | |
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| `Juggernaut_Z_V1_Fast_by_RunDiffusion_q4_k_m.gguf` | GGUF q4_k_m | |
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| `Juggernaut_Z_V1_Fast_by_RunDiffusion_q4_k_s.gguf` | GGUF q4_k_s | Smallest footprint |
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Use the `.safetensors` variants with the workflow that matches your local inference stack. Use the `.gguf` variants with a GGUF-compatible runtime.
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## Diffusers
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A Fast Diffusers export will be added at the repository root using the same component layout as `RunDiffusion/Juggernaut-Z-Image`: `model_index.json`, `transformer/`, `text_encoder/`, `tokenizer/`, `vae/`, and `scheduler/`.
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## License & Commercial Use
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Juggernaut Z Fast is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
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Commercial use of the model and its outputs is restricted. For commercial licensing, custom models, business inquiries, or consultation, contact [juggernaut@rundiffusion.com](mailto:juggernaut@rundiffusion.com).
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