Instructions to use Muapi/bukkake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/bukkake 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/bukkake") 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:
- 8f706e2b26474d45749c39529d1e2cf8f0475690863eceb80a30fc3c1f0852f5
- Size of remote file:
- 1.12 MB
- SHA256:
- 9ed152b06da65d12d3f9a631ec2f61a45ee258b8c64970331d73269273acd226
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