Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
photorealistic
photography
cinematic
portrait
juggernaut
rundiffusion
kandooai
Instructions to use RunDiffusion/Juggernaut-XI-v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-XI-v11 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-XI-v11", 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
- Xet hash:
- 5265579dfd0a55dfe9c620b29496eeec9cc530d8259207d7c5ecd265e5ebc726
- Size of remote file:
- 335 MB
- SHA256:
- 37eb3e09ae1ce3d6891ddf809ca927b618e501091142cf07fdd9cd170e3a046f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.