Instructions to use profpeng/blinknude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinknude 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/blinknude") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
blinknude

- Prompt
- -
Model description
Posing: The video begins with a woman. The video then jumpcuts to same woman standing fully nude. The camera remains static throughout the scene. She looks at the camera the entire time.
Turning around: The video begins with a woman. The video then jumpcuts to same woman standing fully nude with her back and butt to the camera. The camera remains static throughout the scene. She looks at the camera the entire time.
Two Girls: The video begins with two women. The video then jumpcuts to same two women fully nude posing at the camera. The camera remains static throughout the scene. They look at the camera the entire time.
Download model
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Model tree for profpeng/blinknude
Base model
Wan-AI/Wan2.2-I2V-A14B