Instructions to use Muapi/breast-contest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/breast-contest 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/breast-contest") 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:
- 770330dd528c57e4a3a0e841347df41236f59ce6d2877a14a7a01c6f5ee05de1
- Size of remote file:
- 10.3 MB
- SHA256:
- 10cf10df60267bbefd16ea86a20c03e58126f39fa806b879a9088b062e6e0fb4
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