Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Instructions to use InspiratioNULL/Juggernaut-XL-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InspiratioNULL/Juggernaut-XL-v8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InspiratioNULL/Juggernaut-XL-v8", 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:
- f3e66ff8dbad94e1c9a21873b14029c99981a76a39be1da8735dac24f0cc0940
- Size of remote file:
- 492 MB
- SHA256:
- 9752793801fe259ef38fe0ecb1dedc8e2a035ee3dc64f63a207da9ec91631417
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