Instructions to use profpeng/ahegaov2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/ahegaov2 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/ahegaov2") prompt = "She does the ahegao face. She sticks her tongue out and crosses her eyes" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 61a077390145fb21376238851ce7e03a041947c3ece72316f687d63d8423033f
- Size of remote file:
- 4.62 MB
- SHA256:
- 1804f0377103af48f29660c89d199b33bc6702fc81d7f62114ec110ae43a0f6b
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