Instructions to use Muapi/butt-crack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/butt-crack 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/butt-crack") 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:
- 743a94c336f5e1799033bfb14f73612c0c5aae2e48511bbb7918e7b482e8ff99
- Size of remote file:
- 57.5 MB
- SHA256:
- 91563f67e3b129a0aa7f2edc815a903aeb76ae54fd41ffd839beee4cec9bdff9
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