Instructions to use profpeng/Blinkcuminmouth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/Blinkcuminmouth 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/Blinkcuminmouth") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d34a4827d43c94d523a03f91f23b14aadc4f86fac3b151153753e755a7aac43a
- Size of remote file:
- 153 MB
- SHA256:
- e3f185c7eb27bb9528771df59d228056c7662b618455369d6daf3e9a73acbb2a
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