Redesign hero: HTML-centered layout, clean badge row, accent color, blockquote lead
Browse files
README.md
CHANGED
|
@@ -15,26 +15,28 @@ tags:
|
|
| 15 |
<div align="center">
|
| 16 |
|
| 17 |
<a href="https://www.rundiffusion.com/?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=header_logo">
|
| 18 |
-
<img src="https://huggingface.co/RunDiffusion/Juggernaut-Z-Image/resolve/main/assets/RD_Mark.png" alt="RunDiffusion" width="
|
| 19 |
</a>
|
| 20 |
|
| 21 |
-
|
| 22 |
|
| 23 |
-
|
| 24 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
|
| 29 |
</div>
|
| 30 |
|
| 31 |
-
|
|
|
|
|
|
|
| 32 |
|
| 33 |
-
Juggernaut Z is a fine-tune of **Z-Image Base** by **Team Juggernaut**, trained by **KandooAI**, and released through **RunDiffusion**. It is tuned for
|
| 34 |
|
| 35 |
-
This repository hosts the official RunDiffusion release artifacts: full-precision weights,
|
| 36 |
|
| 37 |
-
|
| 38 |
|
| 39 |
## Highlights
|
| 40 |
|
|
|
|
| 15 |
<div align="center">
|
| 16 |
|
| 17 |
<a href="https://www.rundiffusion.com/?utm_source=huggingface&utm_medium=model_card&utm_campaign=juggernaut_z_v1&utm_content=header_logo">
|
| 18 |
+
<img src="https://huggingface.co/RunDiffusion/Juggernaut-Z-Image/resolve/main/assets/RD_Mark.png" alt="RunDiffusion" width="110" />
|
| 19 |
</a>
|
| 20 |
|
| 21 |
+
<h1>Juggernaut Z</h1>
|
| 22 |
|
| 23 |
+
<p><i>A cinematic fine-tune of Z-Image Base — tuned for presentation-ready output.</i></p>
|
| 24 |
|
| 25 |
+
<p>
|
| 26 |
+
<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">
|
| 27 |
+
</p>
|
| 28 |
|
| 29 |
</div>
|
| 30 |
|
| 31 |
+
<p align="center">
|
| 32 |
+
<img src="https://www.rundiffusion.com/images/juggernaut-z/hero-image.jpg" alt="Juggernaut Z hero" />
|
| 33 |
+
</p>
|
| 34 |
|
| 35 |
+
> 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.
|
| 36 |
|
| 37 |
+
This repository hosts the official RunDiffusion release artifacts: full-precision weights, FP16 and FP8 variants, and a full set of GGUF quantizations.
|
| 38 |
|
| 39 |
+
---
|
| 40 |
|
| 41 |
## Highlights
|
| 42 |
|