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:
- 947ccd8e6f25ea3dbf2ec021f65bbb280a029f80338974d74b2a1365ae468765
- Size of remote file:
- 307 MB
- SHA256:
- 47d7a6ae55864dbe2e5b7f3dd7bda5f34e56fb16c87c8a749cc9cac21118cac5
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