Instructions to use Muapi/uterus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/uterus 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/uterus") 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:
- e0e0c637689e64c18f6ea9f0bda62e9a7bb03201a570a4ecf6df82c13dc2cbce
- Size of remote file:
- 1.41 MB
- SHA256:
- 3384ded0dc8941aaee81dd29d5dd6676b2612ec041cf2015ac991b85a93db3b2
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