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:
- fd5f4c38efcd57cbc25717a182b2f0bb0b13857e6f148c3d79999f9bf682a592
- Size of remote file:
- 167 MB
- SHA256:
- 7942ee243ddc9adb523003dadbba170e900e9e733a44342d05ccda2cc574b66b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.