Instructions to use Muapi/double-penetration-from-below with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/double-penetration-from-below 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/double-penetration-from-below") 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:
- 957567c6ff9604b213445ed0da000396873743dc9579742a78d081d4f23f17d3
- Size of remote file:
- 1.11 MB
- SHA256:
- 2661b51d13d124f96cdd7bc6cb52c8cbefb119f0cbeb4c0dc474a9f814fe74f8
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