Instructions to use Ching2602/waninsert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/waninsert 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/waninsert") prompt = "A man appears and inserts his penis into her pussy. Static camera, fixed viewpoint, still shot." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/images.jpeg from Ching2602/waninsert: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/Ching2602/waninsert/resolve/main/images/images.jpeg
- Command line
-
hf download hf://Ching2602/waninsert/images/images.jpeg
-
curl -L -o images.jpeg https://huggingface.co/Ching2602/waninsert/resolve/main/images/images.jpeg
3.44 kB

- Xet hash:
- 72c73553613525c4dc38dd6edb4b9a28d6cec22e7240d46f22c4c36c7535859a
- Size of remote file:
- 3.44 kB
- SHA256:
- c61e977b0f31ce58a009bf837362602b9d137975e86c29d9dde525f11853189c
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