Instructions to use profpeng/wansex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wansex 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/wansex") prompt = "<SM4SHCUT> The scene changes and a man is thrusting his penis into and out of her pussy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Dataset
#1
by H-Maulwurf - opened
Hi,
may I inquire about quantity and composition of the dataset you used to train this lora?
thx
profpeng changed discussion status to closed