Instructions to use Muapi/lactating-in-cup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/lactating-in-cup 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/lactating-in-cup") 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:
- 24b53926db97c426b029fe1d68cf5c48280ea991315d0b85c2c9daa47d1240a4
- Size of remote file:
- 298 kB
- SHA256:
- c4f3975ecebbfded01be616341c660be38de1485e89764943f43315077efdd66
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