Instructions to use plasmo/woolitize-768sd1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/woolitize-768sd1-5 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-768sd1-5", dtype=torch.bfloat16, device_map="cuda") prompt = "woolitize " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
add gradio demo
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by akhaliq HF Staff - opened
README.md
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### Jak's Woolitize Image Pack v.1.2 for Stable Diffusion 1.5
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Woolitize Image Pack brought to you using 117 training images (768 resolution) through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
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Version history:
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v.1.0 - original model
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### Jak's Woolitize Image Pack v.1.2 for Stable Diffusion 1.5
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Woolitize Image Pack brought to you using 117 training images (768 resolution) through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
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# Gradio
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run woolitize-768sd1-5:
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[](https://huggingface.co/spaces/akhaliq/woolitize-768sd1-5)
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Version history:
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v.1.0 - original model
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