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:
- 84826660b4817adc86932498ddf5793b1eb69e84fb724477cffe126347483a97
- Size of remote file:
- 1.39 GB
- SHA256:
- b1edb72cfcbfa04c4abd80256b4f7d45d4798d9f6d93f8f95dbd38277658e751
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