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:
- 5117e8d4ece90cd4219904637f07b3e22e62079f9fc114456dcd61d5970900ab
- Size of remote file:
- 4.67 MB
- SHA256:
- f3eeab63b013d79d6bab3d5d032bf75119b88cad8c6112c81a4313bbc53ee011
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