Instructions to use profpeng/blinknude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinknude 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/blinknude") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6ff7ddc97bbbd69b56937c85062ff1a7573a746258a8f855e8c9211641909180
- Size of remote file:
- 153 MB
- SHA256:
- d9e67dfcfd9d2fdeebeca3f304961cbc96147634a85c43f05a7ed8bcf6d12a0a
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