Instructions to use Muapi/eyepatch-bikini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/eyepatch-bikini with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/eyepatch-bikini") 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:
- c285c8100ea9ae959a47464bdebee6b0674c6f9d4ad8373581c3b5a3a4a88b72
- Size of remote file:
- 1.48 MB
- SHA256:
- 817b3ac60b3d44b49e590738a172361cb60d81fd150052e94ccb6471808d2575
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