Instructions to use the-cloud-minders/juggernaut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use the-cloud-minders/juggernaut with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("the-cloud-minders/juggernaut", 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 unet/diffusion_pytorch_model.bin from the-cloud-minders/juggernaut: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/the-cloud-minders/juggernaut/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://the-cloud-minders/juggernaut/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/the-cloud-minders/juggernaut/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- f9b8196d13393bc4cc5ea49e1e706b8b20cd5ab883facd8b2097d776757b9308
- Size of remote file:
- 3.44 GB
- SHA256:
- d9d17203ba78d944d71b9132487b9768f1802be10a708131a83356ca41a9d6df
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