Instructions to use profpeng/wanhandjob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wanhandjob 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/wanhandjob") prompt = "handj0b twoHanded twistJob this video shows a woman giving a man a handjob. she is stroking his penis with two hands she twists her wrists as she strokes his penis" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
wanhandjob
- Prompt
- handj0b twoHanded twistJob this video shows a woman giving a man a handjob. she is stroking his penis with two hands she twists her wrists as she strokes his penis
Trigger words
You should use handj0b twoHanded twistJob this video shows a woman giving a man a handjob. she is stroking his penis with two hands she twists her wrists as she strokes his penis to trigger the image generation.
Download model
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Wan-AI/Wan2.2-I2V-A14B