Instructions to use profpeng/blinkfacefuck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkfacefuck 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/blinkfacefuck") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7b0d9066eea85f68a98eba8570b49c85293047a69bf835ab65b3b4ce143a9a59
- Size of remote file:
- 153 MB
- SHA256:
- 9426ef237579e8f1fe45d90e444c4ddc27624a3252561117913577b0601fb601
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