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
- Draw Things
- DiffusionBee
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]ahegaov2
- Prompt
- She does the ahegao face. She sticks her tongue out and crosses her eyes
Trigger words
You should use She does the ahegao face. She sticks her tongue out and crosses her eyes to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for profpeng/ahegaov2
Base model
Wan-AI/Wan2.2-I2V-A14B