Juggernaut-XI-v11-Neuron

Juggernaut XI v11 by RunDiffusion (Official) - Neuron

• Amazing prompt adherence ✅
• Massively improved aesthetics
• Better hands, eyes, faces, and compostion
• Fully trained from the ground up using the GPT4 Vision Captioning tool by LEOSAM 🛠️
• Expanded and cleaner dataset with higher quality images 🖼️
• Improved classifications of shots (Full Body, Midshots, Portraits, etc) 📸
• Enhanced text generation capability 📝
• Two different prompting techniques, Natural and Tagging style 🏷️
• Enhanced by RunDiffusion Photo for refinement of details 🧐

Read more about this version here https://rundiffusion.com/juggernaut-xi

Prompting Guide 📘 Because everything has been trained from the ground up, prompting is a bit different. (Simpler, don't worry) @Kandoo has created a guide to help you seamlessly integrate this powerful model into your workflow, enabling you to leverage its advanced capabilities without feeling overwhelmed. Download it here: https://rundiffusion.com/juggernaut-xl#nav

Don't forget to follow RunDiffusion team on Twitter.

https://x.com/RunDiffusion

Usage

from diffusers import DPMSolverMultistepScheduler
from optimum.neuron import NeuronStableDiffusionXLPipeline

pipeline = NeuronStableDiffusionXLPipeline.from_pretrained("Shekswess/Juggernaut-XI-v11-Neuron", device_ids=[0, 1])
pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config)

prompt = "A swirling beautiful exploding scene of magical wonders and surreal ideas and objects with portraits of beautiful woman with silk back to camera, flowers, light, cosmic wonder, nebula, high-resolution"
negative_prompt = "fake eyes, deformed eyes, bad eyes, cgi, 3D, digital, airbrushed, hands, hand"
image = pipeline(prompt=prompt, negative_prompt=negative_prompt).images[0].save("output.png")

Original Model

Model

Precision

BFloat16 (bf16) For Matrix Multiplication Operations.