Instructions to use Ching2602/blinknude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/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("Ching2602/blinknude") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Ching2602/blinknude: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/Ching2602/blinknude/resolve/main/README.md
- Command line
-
hf download hf://Ching2602/blinknude/README.md
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curl -L -o README.md https://huggingface.co/Ching2602/blinknude/resolve/main/README.md
1 kB
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/368ac433-73fc-45be-86a5-bb42dbf4700c.png
text: '-'
base_model: Wan-AI/Wan2.2-I2V-A14B
instance_prompt: null
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
Download them in the Files & versions tab.