Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Instructions to use ford442/Juggernaut-XI-v11-fp32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ford442/Juggernaut-XI-v11-fp32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32", 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_2/pytorch_model.bin from ford442/Juggernaut-XI-v11-fp32: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/ford442/Juggernaut-XI-v11-fp32/resolve/main/text_encoder_2/pytorch_model.bin
- Command line
-
hf download hf://ford442/Juggernaut-XI-v11-fp32/text_encoder_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ford442/Juggernaut-XI-v11-fp32/resolve/main/text_encoder_2/pytorch_model.bin
2.78 GB
- Xet hash:
- 3b2cc2a7d28c3a66e26e4e24afcf5fbd3d02563db26ca93cda8be7548db45247
- Size of remote file:
- 2.78 GB
- SHA256:
- 8789c738d9b7fb569baf95add70c6b7269cdeee67bd0c1056875c0ed43d69355
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.