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JUGGERNAUT-Z-IMAGE

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Update: optimized inference settings for Juggernaut Z (CFG 6-9, steps 25-45)

779cdb0 verified about 19 hours ago

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metadata

title: JUGGERNAUT-Z-IMAGE
emoji: 🎨
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 6.9.0
python_version: '3.10'
app_file: app.py
pinned: false
tags:
  - text-to-image
  - image-generation
  - juggernaut
  - z-image
  - lumina2
  - rundiffusion
  - zero-gpu
short_description: Juggernaut Z - Cinematic fine-tune of Z-Image Base model

Juggernaut Z Image

A ZeroGPU Space for generating images with Juggernaut Z by RunDiffusion — a cinematic fine-tune of the Z-Image Base model.

Features

🎨 Cinematic Quality: Tuned for dramatic lighting, sharper focus, and refined skin texture
⚡ ZeroGPU: Runs on Hugging Face's free GPU infrastructure
🖼️ Multiple Resolutions: From 720x720 up to 1680x720 (and custom sizes)
🎛️ Full CFG Control: Supports Classifier-Free Guidance for precise prompt adherence
🌱 Seed Control: Reproducible generation with seed randomization option

Model Details

Base Model: Tongyi-MAI/Z-Image
Fine-tune: RunDiffusion/Juggernaut-Z-Image
Architecture: Lumina2 (Single-Stream Diffusion Transformer)
License: Apache 2.0

Recommended Settings

Parameter	Default	Range
CFG Scale	6.0	3.0 – 9.0
Steps	35	25 – 50
Resolution	1024×1024	512×512 – 2048×2048

Credits

Fine-tuned by Team Juggernaut
Training by KandooAI
Published by RunDiffusion

Juggernaut Z Image

Features

Model Details

Recommended Settings

Links

Credits