Instructions to use profpeng/blinkmischoking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkmischoking 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/blinkmischoking") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1553207a9cf48b338bf544dd94d3b1f75d805576471a50ae7ee803bbf95bd7d6
- Size of remote file:
- 153 MB
- SHA256:
- 40b0dd920272ac422b5844456423b81a603cfe0e05506440c65d322ed3f434ba
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