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
- Draw Things
- DiffusionBee
- Xet hash:
- 0b7a1fd0c00535665bf760752909068e450f0da004816cbc5518e363017209ad
- Size of remote file:
- 2.58 GB
- SHA256:
- a3bb60b9355f6954e4074f65bc2482507473d70ca9cc0686436ab4b5572eddc0
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