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:
- 2d780973bf6364898780fb1846faebbaa1fe9f06e36eb558eac81aaa0fd4bd11
- Size of remote file:
- 153 MB
- SHA256:
- 87c3a7825d39d5f19432f70b4eb2301ef3577e96cc78fbd1bcaaa63575eaa9e2
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