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
- Draw Things
- DiffusionBee
Jak's Woolitize Image Pack v.1.2 for Stable Diffusion 1.5
Woolitize Image Pack brought to you using 117 training images (768 resolution) through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
Gradio
We support a Gradio Web UI to run 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:
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