Instructions to use Ching2602/facefuckv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/facefuckv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ching2602/facefuckv2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
facefuckv2

- Prompt
- -
Model description
a greedy woman sucks a brown-skinned cock for training f4c3fck. There is milky saliva bursting on her hair while the cock slides in and out of her mouth frequently with fluid motion. Her breasts are covered in semen. The focus is on her face. The view is from a 3/4 side perspective, artistic performance, the camera dolly zooms out.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 2