Update model card for Juggernaut Z

README.md

@@ -1,3 +1,92 @@
----
-license: apache-2.0
----
+---
+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
+---
+
+<h1 align="center">Juggernaut Z<br><sub><sup>A polished cinematic fine-tune of Z-Image Base from RunDiffusion</sup></sub></h1>
+
+<div align="center">
+
+[![Official Site](https://img.shields.io/badge/Official%20Site-Juggernaut%20Z-111111)](https://www.rundiffusion.com/juggernaut-z)
+[![Base Model](https://img.shields.io/badge/%F0%9F%A4%97%20Base%20Model-Z--Image-yellow)](https://huggingface.co/Tongyi-MAI/Z-Image)
+[![Prompt Guide](https://img.shields.io/badge/Prompt%20Guide-RunDiffusion-2f6fed)](https://www.rundiffusion.com/juggernaut-z-prompt-guide)
+
+</div>
+
+Juggernaut Z is a fine-tuned image model built on **Z-Image Base**, created through the work of **Team Juggernaut** with fine-tuning by **KandooAI**. On RunDiffusion, it is positioned as a stronger choice for creators who want more polished image output, better lighting quality, stronger camera focus, and more detailed skin textures.
+
+This repository is intended to host the RunDiffusion release artifacts for Juggernaut Z, including full-precision weights and GGUF quantizations.
+
+![Juggernaut Z Hero](https://www.rundiffusion.com/images/juggernaut-z/hero-image.jpg)
+
+## Overview
+
+Juggernaut Z is tuned for a more presentation-ready look out of the box. Relative to Z-Image Base, the emphasis is on:
+
+- Stronger lighting and clearer atmosphere
+- More refined focus and camera feel
+- More polished portrait rendering
+- Improved skin texture detail
+- Better out-of-the-box presentation for editorial, concept, and cinematic work
+
+## Example Images
+
+The images below are pulled from the RunDiffusion announcement page for Juggernaut Z.
+
+![Lighting Example](https://www.rundiffusion.com/images/juggernaut-z/lighting-1.png)
+![Skin Detail Example](https://www.rundiffusion.com/images/juggernaut-z/skin-1.png)
+![Diversity Example](https://www.rundiffusion.com/images/juggernaut-z/diversity-1.png)
+
+## Recommended Settings
+
+Based on the RunDiffusion launch guidance:
+
+- Recommended default: `CFG 6`, `35 steps`
+- Good CFG range: `6 to 9`
+- Good steps range: `25 to 45`
+
+## Good Fit For
+
+- Portraits with cleaner facial detail and stronger focus
+- Cinematic scenes with stronger lighting and clearer atmosphere
+- Concept development and visual exploration
+- Editorial and fashion work that benefits from a polished finish
+
+## Files In This Repo
+
+Current release artifacts:
+
+- `Juggernaut_Z_V1_by_RunDiffusion.safetensors`
+- `Juggernaut_Z_V1_FP8_e4m3fn.safetensors`
+- `Juggernaut_Z_V1_by_RunDiffusion_q4_k_s-001.gguf`
+- `Juggernaut_Z_V1_by_RunDiffusion_q4_k_m-002.gguf`
+- `Juggernaut_Z_V1_by_RunDiffusion_q5_k_s-005.gguf`
+- `Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf`
+- `Juggernaut_Z_V1_by_RunDiffusion_q6_k-004.gguf`
+- `Juggernaut_Z_V1_by_RunDiffusion_q8_0.gguf`
+
+## Notes
+
+- The base model is [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image).
+- This card uses image assets from the RunDiffusion Juggernaut Z announcement page.
+- If you are using the GGUF files, use a GGUF-compatible runtime or workflow.
+- If you are using the safetensors releases, load them with the workflow that matches your local inference stack.
+
+## Links
+
+- Announcement: [RunDiffusion Juggernaut Z](https://www.rundiffusion.com/juggernaut-z)
+- Prompt guide: [Juggernaut Z Prompt Guide](https://www.rundiffusion.com/juggernaut-z-prompt-guide)
+- Base model: [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image)
+
+## Attribution
+
+Juggernaut Z is based on Z-Image Base. Credit for the upstream base model belongs to the Z-Image team. Credit for this fine-tuned release is attributed to Team Juggernaut, with fine-tuning by KandooAI, as described on the RunDiffusion announcement page.