Although this, with Build-106 of the StabilityAI-GH component I have introduced and included the last features of “stability-sdk” Python library.
So, summarized you can run/apply the following features:
- Text-to-Image mode
- Image-to-Image mode
- Image-to-Image masking mode (with grayscale and blurred images as masks)
- Apply CLIP guidance presets (None, Simple, FastBlue, FastGreen, Slow, Slower and Slowest)
by using a couple of new/updated components like GrayGaussMask, FileNamer and SdINinfo
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it is possible to:
- Generate a grayscale image and a blurred one thanks to some python libraries – You have full control over black/white areas
- Generate a filename without incurring the overwriting action and put also the mask images into “IMGs” folder
- Read all useful parameters used in generating your AI art image
- Track all runs in a unique CSV file
About GrayGaussMask component In order to run it you need to install the Python library as shown here:
pip install torchvision
This library is ~160MB so wait until appear the installation successful message.
Below are these components in action
I have always used to say:
A Computational Designer is also (but not exclusively) a data storyteller
While you are exploring your design and pushing forward your creativity, the StabilityAI-GH component (the same happens for OpenAI) stores all data in this way:
- Images are stored in the “YourCustomFolder\IMGs” folder
- Metadata (for each run) is stored in the “YourCustomFolder\TXTs” folder
- All your runs are stored in a unique CSV file
Here below the video DEMO
Download this component from HERE 
