Instructions to use Muapi/ilxl-bear-position with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/ilxl-bear-position with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/ilxl-bear-position") 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:
- d9fd5474b4e649b76ace3f7f7d9906873d1802896243117a3e75bb964458d3ba
- Size of remote file:
- 2.42 MB
- SHA256:
- 8b5701c18d457252e0b71c1d0c4e74b933a070b7ac4fc4af08fcdd246a792ccf
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