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
Upload woolitize_sd2shiv.ckpt
Browse filesSD2.0 version trained on Shivram
- woolitize_sd2shiv.ckpt +3 -0
woolitize_sd2shiv.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3bb60b9355f6954e4074f65bc2482507473d70ca9cc0686436ab4b5572eddc0
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size 2580353150
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