Should I remove the background of the images in the training dataset?
It depends entirely on what you’re training. For broad concept style training we haven’t seen a benefit.
For specific subject assets, such as characters and objects, sometimes the output is better with a background removal, and it’s worth testing out. If all of your images have similar backgrounds, it worth removing them to avoid the AI learning your background as a part of the style. Consequently, the AI will not remove backgrounds for you, so if you remove all your backgrounds it will fill in the background in a variety of different ways. If you want a solid color background, we recommend using solid color in your training data.
Watch our walk-through video on how to remove backgrounds from your training images.
For specific subject assets, such as characters and objects, sometimes the output is better with a background removal, and it’s worth testing out. If all of your images have similar backgrounds, it worth removing them to avoid the AI learning your background as a part of the style. Consequently, the AI will not remove backgrounds for you, so if you remove all your backgrounds it will fill in the background in a variety of different ways. If you want a solid color background, we recommend using solid color in your training data.
Watch our walk-through video on how to remove backgrounds from your training images.
Updated on: 17/04/2023
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