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:
- d455b869b57df7fd9796a0b0470f3c38e8d26d3e39e20da6fcf2043a33fff40f
- Size of remote file:
- 57.4 MB
- SHA256:
- 6605528911162deeb097035b96dabefb90a6abf562b3ebfb69713a306d7d7a91
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