Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Instructions to use mig1234/Juggernaut-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mig1234/Juggernaut-XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mig1234/Juggernaut-XL", 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 text_encoder/pytorch_model.bin from mig1234/Juggernaut-XL: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/mig1234/Juggernaut-XL/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://mig1234/Juggernaut-XL/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mig1234/Juggernaut-XL/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 73e7091c4b68d1b975f73542dddbb1ed5a5e72addd19d5e8f4fb4ab676d64fe2
- Size of remote file:
- 492 MB
- SHA256:
- 8d64092f5613e3224902970d547b969d677956514d7dc4a39f51393840025a62
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