Instructions to use profpeng/wancowgirl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wancowgirl 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/wancowgirl") prompt = "A woman is straddling a man and eagerly having sex with him. she is squatting. The nude man starts to thrust back and forth inside her vagina. Movements are a mix of slow and quicker movements. he builds speed with his thrusts and slows down. after a few moments she leans forward getting her face close to the viewer. focus follows her face. she grips her knees for stability and moans with pleasure. her face is a mixture of pain and pleasure. she's having an orgasm. she slams her hips harder and harder, hard fucking" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee