Instructions to use Muapi/implied-fellatio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/implied-fellatio 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/implied-fellatio") 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:
- bab039e3cdae3d806144d1f0ca7ebc4bfba99391fa7be0fbbada96714f36a17e
- Size of remote file:
- 1.14 MB
- SHA256:
- ccdf59c00cd2bdbbc48961d517cd4ebed73f7caadde40d0b92786eaf5ea12eeb
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