Instructions to use Ching2602/wancumshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/wancumshot 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("Ching2602/wancumshot") prompt = "a woman is kneeling in front of a man a woman is lying down on her back and the man is on top of her a woman is kneeling in front of two men cum shoots out of their penises and lands on her face and eyes (cum shoots out of the penis and lands on her tongue) cum shoots out of the penis and lands on her face and her eyes and her mouth (cum shoots out of the penis and lands on her face and her mouth)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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