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:
- e7d163958e8ad83497af7bda5ff2bd561b72b9a85f5c58beaf15af15fbcefce2
- Size of remote file:
- 153 MB
- SHA256:
- 768b65b50f6af71d533547de82bc235d8b10824a2d25b0d74186b2dfad66cb38
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