Instructions to use Muapi/car-fellatio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/car-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/car-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:
- fa582f180e9f9d46ca2a9e78974b05597964d17345fbdd11c2f380a8b8c94a64
- Size of remote file:
- 1.39 MB
- SHA256:
- e20a99ad75828b32bc065445c294ef1324c55f048f03cf200190a579472a80ae
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