Instructions to use cledoux42/JUGGALO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cledoux42/JUGGALO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cledoux42/JUGGALO", 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
- Xet hash:
- deddc92d0101534bc4269b6767073354b8d01b68c5b0f2ab6e60bf1c23f32f0a
- Size of remote file:
- 492 MB
- SHA256:
- bcfd7f9a7d6ed1b09e9b28c070ab17956fa0f2a35f1130b5342f23d6e3db038e
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