Instructions to use Ching2602/wanfeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/wanfeet 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/wanfeet") prompt = "woman putting her feet up and flexing her toes wide, revealing big, bare soles with yellow patches and deep wrinkles" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
wanfeet
- Prompt
- woman putting her feet up and flexing her toes wide, revealing big, bare soles with yellow patches and deep wrinkles
Trigger words
You should use woman putting her feet up and flexing her toes wide to trigger the image generation.
You should use revealing big to trigger the image generation.
You should use bare soles with yellow patches and deep wrinkles to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Ching2602/wanfeet
Base model
Wan-AI/Wan2.2-I2V-A14B