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 Settings
- Draw Things
- DiffusionBee
Download assets/Juggernaut_v9_banner.webp from RunDiffusion/Juggernaut-XL-v9: direct link, hf CLI and curl.
- Browser
- Download file 379 kB
-
https://huggingface.co/RunDiffusion/Juggernaut-XL-v9/resolve/main/assets/Juggernaut_v9_banner.webp
- Command line
-
hf download hf://RunDiffusion/Juggernaut-XL-v9/assets/Juggernaut_v9_banner.webp
-
curl -L -o Juggernaut_v9_banner.webp https://huggingface.co/RunDiffusion/Juggernaut-XL-v9/resolve/main/assets/Juggernaut_v9_banner.webp
379 kB

- Xet hash:
- 66346ec384d94f2a3de56027f86f61b01e5d4962299f23986abcebf576631af5
- Size of remote file:
- 379 kB
- SHA256:
- 82652584d311083e1779a3f2bbbde27dec0e808ca648895186d20f30338a793f
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