Instructions to use profpeng/blinkfingering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkfingering 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/blinkfingering") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3c9886a1981044f6c1a9892a7b04911156b0e97ae5c4e4fa85b7cb89aeccaba5
- Size of remote file:
- 153 MB
- SHA256:
- 775f20e50f9d8b7719c0b78de8026aa0fc90e1912c22587e39cb02097b74fb08
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