Instructions to use profpeng/wanthickcum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wanthickcum 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/wanthickcum") prompt = "cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
wanthickcum
- Prompt
- cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera.
Trigger words
You should use cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera. to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for profpeng/wanthickcum
Base model
Wan-AI/Wan2.2-I2V-A14B