Instructions to use plasmo/woolitize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/woolitize with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/woolitize", dtype=torch.bfloat16, device_map="cuda") prompt = "woolitize " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4229bb6ae64ee41608f374e2e06288ecb2b18b9a30de7a6b40922dc1fcb9b1d5
- Size of remote file:
- 492 MB
- SHA256:
- e881dc4bc29da020b0162fdcacffcd37a45871d544a087edfc790969319b9ee7
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