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
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| widget: | |
| - text: "woolitize " | |
| ### Jak's Woolitize Image Pack v.1.0 for Stable Diffusion 1.5 (2.0 coming soon) | |
| Woolitize Image Pack brought to you by 117 training images through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist | |
| ### UPDATE: Woolitize v1.2 available [here](https://huggingface.co/plasmo/woolitize-768sd1-5) | |
| Version history: | |
| v.1.0 - original model | |
| v.1.2 - improved detail and backgrounds using 768x768 resolution training images | |
| Include Prompt trigger: "woolitize" to activate. | |
| Woolitize v1.0 (SD1.5) download file "woolitize.ckpt" | |
| Woolitize v1.2 (SD1.5) download file "woolitize768.ckpt" | |
| Woolitize (SD2.0) version: (not compatible with Automatic111 yet) | |
| Sample pictures of this concept: | |
| woolitize | |
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