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
Rename JuggernautXL_v9_RunDiffusionPhoto_v2.safetensors to Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors
e5bdb43 verified - Xet hash:
- 905a020eda0464267780a616dd4fce118cf0c25e53a4f64a7f864c1d502623b3
- Size of remote file:
- 7.11 GB
- SHA256:
- c9e3e68f89b8e38689e1097d4be4573cf308de4e3fd044c64ca697bdb4aa8bca
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