Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
photorealistic
photography
cinematic
portrait
juggernaut
rundiffusion
kandooai
Instructions to use RunDiffusion/Juggernaut-XL-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-XL-v9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", 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
- Draw Things
- DiffusionBee
Convert v9 banner to WebP for fast loading (2.5MB → 380KB, q90)
Browse files- .gitattributes +1 -0
- assets/Juggernaut_v9_banner.webp +3 -0
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assets/Juggernaut_v9_banner.webp
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Git LFS Details
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