Instructions to use profpeng/wangenitalshelper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wangenitalshelper 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/wangenitalshelper") prompt = "Innie vagina or Outie vagina" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5e3c99696863ede604108e1d8bb30e45d25b216f1d15ffaf548f0dac5bc6838e
- Size of remote file:
- 307 MB
- SHA256:
- 379c267ca9e6021bde9763c74a76117335181b189edbcd06e29acf1d16f6af10
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