Instructions to use codean0n/juggernautXL_version5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codean0n/juggernautXL_version5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codean0n/juggernautXL_version5", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 77f3d632d32e78ca867bda3694fa85d242df7384c2d09298b1d1651bd5890cc5
- Size of remote file:
- 246 MB
- SHA256:
- 2a33177a6c825002df3e5a100517e87be25917989239dd92cb173dc3861fb3a0
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