Instructions to use profpeng/blinkfacefuck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkfacefuck 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/blinkfacefuck") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
blinkfacefuck

- Prompt
- -
Model description
Lying Down:
The video begins with woman. The video then jumpcuts to a man aggressively facefucking the same woman with his erect penis while he lays down she is leaning over him between his legs. The woman looks directly up at the camera while the man holds onto the back of her head with his right hand pulling her towards him controlling her head movement.
Standing Up:
The video begins with woman. The video then jumpcuts to a man aggressively facefucking the same woman with his erect penis while he is standing up and she is kneeling infront of him. The woman looks directly up at the camera while the man holds onto the back of her head with his right hand pulling her towards him controlling her head movement.
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Base model
Wan-AI/Wan2.2-I2V-A14B