Instructions to use profpeng/wannip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wannip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lopi999/Wan2.2-I2V_General-NSFW-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/wannip") prompt = "nipPull nipRub nipSqueeze oneHand breast play nipple play" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
wan bplay

- Prompt
- nipPull nipRub nipSqueeze oneHand breast play nipple play
Trigger words
You should use nipPull nipRub nipSqueeze oneHand breast play nipple play to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for profpeng/wannip
Base model
Wan-AI/Wan2.2-I2V-A14B