Instructions to use Muapi/breast-squeeze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/breast-squeeze 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-squeeze") 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:
- d8f3cc2b0191adc6921a5e23a1680b5091ecdfbe410011c67e47232bbafd4f81
- Size of remote file:
- 9.7 MB
- SHA256:
- 3dea5872fb76553d1e5fd9464638e9ddcdf0b6f2eb4dffbd328da4bca5490cc9
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