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:
- 9f1df4b0f7df3fcfb8a1b0c21dbdc7bf5f600b20cfc15f04c23264a8382374e2
- Size of remote file:
- 2.13 GB
- SHA256:
- b8680f0c6d011669c4cab0e3019bdace3cb6a8170809db9c772f358be4ae058c
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