Instructions to use stablediffusionapi/juggernaut-reborn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/juggernaut-reborn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/juggernaut-reborn", 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 stablediffusionapi/juggernaut-reborn: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/juggernaut-reborn/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/juggernaut-reborn/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/juggernaut-reborn/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 9ec5c7ae78da17a834ee24f98aaa2d0ef9cf52ef1a6c2c1403516fca25946f8d
- Size of remote file:
- 246 MB
- SHA256:
- 62a793de64dbd20dbf3c1c4276452e53dfa35921eaf6c4137b51eb1dc71f698b
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