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-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/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("RunDiffusion/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 Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from RunDiffusion/Juggernaut-XL-v8: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/RunDiffusion/Juggernaut-XL-v8/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://RunDiffusion/Juggernaut-XL-v8/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RunDiffusion/Juggernaut-XL-v8/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- b484fccbdff81bb402c18a028c33d80c3b745336614ba8246a8f4b8841452918
- Size of remote file:
- 492 MB
- SHA256:
- 9752793801fe259ef38fe0ecb1dedc8e2a035ee3dc64f63a207da9ec91631417
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