Instructions to use profpeng/reversedeepthroat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/reversedeepthroat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/reversedeepthroat") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
reversedeepthroat

- Prompt
- -
Model description
Example Prompt: The woman tilts her head back. A man with a large erect penis and testicles appears from the top, his body is only partly visible, view of his erect penis and his testicles and his hips, oral insertion, reverse deepthroat, fellatio, no hands, closeup, balls deep, head back, drool, saliva, man with huge penis from behind her.
Keywords for video generation:
"reverse deepthroat" + optional combinations of "oral insertion","deep throat fuck", "dynamic throat fuck", "male appears", "in and out", "throatbulge".
Download model
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Model tree for profpeng/reversedeepthroat
Base model
Wan-AI/Wan2.2-I2V-A14B