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The simplest way to self-host Juggernaut XL. Launch a dedicated cloud GPU server running Lab Station OS to download and serve the model using any compatible app or framework.
Download model weights for local inference. Must be used with a compatible app, notebook, or codebase. May run slowly, or not work at all, depending on your system resources, particularly GPU(s) and available VRAM.
Juggernaut XL is a text-to-image model built on Stable Diffusion XL, featuring a GPT-4 Vision recaptioned dataset of 15,000 images. It excels at natural language and tag-based prompts up to 75 tokens, optimized for 832x1216 resolution with DPM++ 2M SDE sampling.
Juggernaut XL (version XI) is a text-to-image diffusion model built upon the Stable Diffusion XL base model from Stability AI. The model utilizes the StableDiffusionXLPipeline within the Diffusers library and has been extensively trained on a carefully curated dataset of 15,000 images. A defining characteristic of this model is its training methodology - the entire dataset was recaptioned using GPT-4 Vision Captioning tool by LEOSAM, resulting in cleaner, higher-quality data with improved image classifications.
The model has garnered significant attention in the AI community, with over 600,000 downloads across Huggingface and Civitai platforms, making it one of the most downloaded SDXL AI models. The training process involved over 110 hours using a powerful GPU cluster, with more than 3,500 images manually verified after GPT Vision captioning.
Juggernaut XI demonstrates significant improvements over its predecessors, particularly in areas that have traditionally been challenging for AI image generation. The model excels at:
The model supports two distinct prompting styles: natural language and tagging. Natural language prompts should be kept brief due to a 75-token limit, while tagging prompting offers more detailed control over the generated images.
For optimal results, users should consider the following parameters:
For high-resolution upscaling, it's recommended to use 4xNMKD-Siax_200k with 15 steps and 0.3 denoise + 1.5 upscale. The creator notes that a Flux > Juggernaut XI pipeline may yield the best results.
The Juggernaut family includes multiple versions, each with its own characteristics:
Version XI specifically addresses stability issues present in version X while maintaining the visual quality achieved in version 9. The model is licensed under CreativeML Open RAIL++-M with an addendum, and for commercial use, specific licensing arrangements are required.