Redesign hero: HTML-centered layout, clean badge row, accent color, blockquote lead
4203ac9 verified | license: apache-2.0 | |
| language: | |
| - en | |
| pipeline_tag: text-to-image | |
| base_model: Tongyi-MAI/Z-Image | |
| tags: | |
| - gguf | |
| - safetensors | |
| - text-to-image | |
| - rundiffusion | |
| - z-image | |
| <div align="center"> | |
| <a href="https://www.rundiffusion.com/?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=header_logo"> | |
| <img src="https://huggingface.co/RunDiffusion/Juggernaut-Z-Image/resolve/main/assets/RD_Mark.png" alt="RunDiffusion" width="110" /> | |
| </a> | |
| <h1>Juggernaut Z</h1> | |
| <p><i>A cinematic fine-tune of Z-Image Base — tuned for presentation-ready output.</i></p> | |
| <p> | |
| <a href="https://www.rundiffusion.com/juggernaut-z?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=cta_primary"><img alt="Try Juggernaut Z" src="https://img.shields.io/badge/%E2%96%B6%20Try%20Juggernaut%20Z-7C3AED?style=for-the-badge&labelColor=7C3AED"></a> <a href="https://www.rundiffusion.com/juggernaut-z-prompt-guide?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=prompt_guide_badge"><img alt="Prompt Guide" src="https://img.shields.io/badge/Prompt%20Guide-1f1f23?style=for-the-badge"></a> <a href="https://huggingface.co/Tongyi-MAI/Z-Image"><img alt="Base Model: Z-Image" src="https://img.shields.io/badge/%F0%9F%A4%97%20Base%20Model-Z--Image-FFD21E?style=for-the-badge&labelColor=1f1f23"></a> <img alt="License: Apache 2.0" src="https://img.shields.io/badge/License-Apache%202.0-2ea44f?style=for-the-badge"> | |
| </p> | |
| </div> | |
| <p align="center"> | |
| <img src="https://www.rundiffusion.com/images/juggernaut-z/hero-image.jpg" alt="Juggernaut Z hero" /> | |
| </p> | |
| > Juggernaut Z is a fine-tune of **Z-Image Base** by **Team Juggernaut**, trained by **KandooAI**, and released through **RunDiffusion**. It is tuned for stronger lighting, sharper focus, more refined skin texture, and more cinematic atmosphere — out of the box. | |
| This repository hosts the official RunDiffusion release artifacts: full-precision weights, FP16 and FP8 variants, and a full set of GGUF quantizations. | |
| --- | |
| ## Highlights | |
| - More dramatic, cinematic **lighting** out of the box | |
| - Sharper **focus** and a more deliberate camera feel | |
| - Cleaner **portraits** with more natural skin texture | |
| - Improved **anatomy** and structural integrity | |
| - Better representation across **ethnicities** by default | |
| - Tuned for editorial, concept, and cinematic work | |
| ## Comparisons | |
| All sets below show **Juggernaut Z (left)** vs **Z-Image Base (right)**. Source: the [RunDiffusion Juggernaut Z announcement](https://www.rundiffusion.com/juggernaut-z?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=comparison_source). | |
| ### Lighting | |
| More dramatic, cinematic lighting out of the box. | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
| ### Skin & Texture | |
| Cleaner, more natural-looking skin — especially in close-up portraits. | |
|  | |
|  | |
|  | |
|  | |
| ### Anatomy | |
| Cleaner anatomy and more consistent structural detail across a wide range of subjects. | |
|  | |
|  | |
|  | |
|  | |
| ### Composition | |
| Improved subject and object placement within scenes, with further work planned for v2. | |
|  | |
|  | |
|  | |
| ### Diversity | |
| More balanced results across ethnic backgrounds, with better representation by default. | |
|  | |
|  | |
|  | |
|  | |
| ### Architecture | |
| Cleaner structural lines and more coherent material rendering. | |
|  | |
|  | |
| ## Recommended Settings | |
| | Parameter | Default | Range | | |
| | --- | --- | --- | | |
| | CFG | `6` | `6 – 9` | | |
| | Steps | `35` | `25 – 45` | | |
| ## Good Fit For | |
| - Portraits with cleaner facial detail and stronger focus | |
| - Cinematic scenes with strong lighting and atmosphere | |
| - Concept development and visual exploration | |
| - Editorial and fashion work that benefits from a polished finish | |
| ## Files In This Repo | |
| | File | Format | Notes | | |
| | --- | --- | --- | | |
| | `Juggernaut_Z_V1_by_RunDiffusion.safetensors` | safetensors (fp32) | Full-precision weights | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_fp16.safetensors` | safetensors (fp16) | Half-precision | | |
| | `Juggernaut_Z_V1_FP8_e4m3fn.safetensors` | safetensors (fp8 e4m3fn) | Lower VRAM footprint | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_q8_0.gguf` | GGUF · q8_0 | Highest-quality quant | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_q6_k-004.gguf` | GGUF · q6_k | | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf` | GGUF · q5_k_m | | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_q5_k_s-005.gguf` | GGUF · q5_k_s | | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_q4_k_m-002.gguf` | GGUF · q4_k_m | | | |
| | `Juggernaut_Z_V1_by_RunDiffusion_q4_k_s-001.gguf` | GGUF · q4_k_s | Smallest footprint | | |
| Use the `.safetensors` variants with the workflow that matches your local inference stack. Use the `.gguf` variants with a GGUF-compatible runtime. | |
| ## Links | |
| - **Run Juggernaut Z on RunDiffusion** → [rundiffusion.com/juggernaut-z](https://www.rundiffusion.com/juggernaut-z?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=footer_run) | |
| - **Prompt guide** → [Juggernaut Z Prompt Guide](https://www.rundiffusion.com/juggernaut-z-prompt-guide?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=footer_prompt_guide) | |
| - **Base model** → [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) | |
| ## Attribution | |
| Juggernaut Z is built on Z-Image Base — credit for the upstream base model belongs to the Z-Image team. This fine-tuned release is by **Team Juggernaut**, with training by **KandooAI**, published by **RunDiffusion**. | |
| ## License | |
| Released under the **Apache 2.0** license. | |