Text-to-Image
Diffusers
English
NeuronStableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Neuron
Inferentia
Instructions to use Shekswess/Juggernaut-XI-v11-Neuron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shekswess/Juggernaut-XI-v11-Neuron with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shekswess/Juggernaut-XI-v11-Neuron", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| language: | |
| - en | |
| license: cc-by-nc-nd-4.0 | |
| library_name: diffusers | |
| tags: | |
| - art | |
| - people | |
| - diffusion | |
| - Cinematic | |
| - Photography | |
| - Landscape | |
| - Interior | |
| - Food | |
| - Car | |
| - Wildlife | |
| - Architecture | |
| - Neuron | |
| - Inferentia | |
| thumbnail: >- | |
| https://storage.googleapis.com/run-diffusion-public-assets/juggernaut-xi/juggernaut-collage-256.webp | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| pipeline_tag: text-to-image | |
| # Juggernaut XI v11 by RunDiffusion (Official) - Neuron | |
|  | |
|  | |
| - Amazing prompt adherence β | |
| - Massively improved aesthetics | |
| - Better hands, eyes, faces, and compostion | |
| - Fully trained from the ground up using the GPT4 Vision Captioning tool by LEOSAM π οΈ | |
| - Expanded and cleaner dataset with higher quality images πΌοΈ | |
| - Improved classifications of shots (Full Body, Midshots, Portraits, etc) πΈ | |
| - Enhanced text generation capability π | |
| - Two different prompting techniques, Natural and Tagging style π·οΈ | |
| - Enhanced by RunDiffusion Photo for refinement of details π§ | |
| Read more about this version here https://rundiffusion.com/juggernaut-xi | |
| Prompting Guide π | |
| 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 | |
| ```python | |
| 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](https://huggingface.co/RunDiffusion/Juggernaut-XI-v11) | |
| ## Precision | |
| BFloat16 (bf16) | |
| For Matrix Multiplication Operations. |