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How to choose the right intensity level?
How to choose the right intensity level?
Updated over a week ago

When training a style, you can choose between different intensity levels. Note that a higher intensity level does not always mean a better result. The best fit will depend on your dataset.

For a well-balanced, medium-sized dataset with a distinct style, any level should work well. This is demonstrated in the following images:

Prompt: "portrait of a woman with long purple hair standing in a city, 8k, high quality" using the same seeds

Prompt: “portrait of a man wearing a yellow sweater standing in a jungle, 8k, high quality” using the same seeds

Prompt: “a beautiful brutalist building by a lake in a beautiful landscape, 8k, high quality” using the same seeds

(Download Dataset)

As shown above, there is not much difference in quality between the levels. However, for intensity level 3, the backgrounds seem to have slightly more depth. So if your training images feature images with rich backdrops, a higher level can be beneficial, depending on how balanced your dataset is. A higher level can also be helpful if the style you are trying to capture is subtler.

Datasets that feature mostly the same subjects can be difficult to work with, requiring more complex prompt engineering. For such datasets, it is recommended to use intensity level 1, as level 3 would make them even less flexible.

Here are examples created using a model trained on a small dataset that did not have much variety:

Prompt: “a cute black owl bird, ruffled feathers” using the same seeds

(Download Dataset)

As you can see intensity level 3 depicts only very robot-looking figures, whereas the output from levels 1 & 2 has more owl-like ones.

intensity level 1 is good for:

  • smaller datasets → below 14 images

  • datasets that don’t feature a lot of variety, containing the same or very similar subjects

  • styles with high contrast, as those can look overbaked at a higher intensity level

intensity level 2 is good for:

  • most medium-sized datasets → 14 to 28 images

  • datasets that have some variety to them, like different subjects, different color schemes

intensity level 3 is good for:

  • medium to large datasets → above 28 images

  • datasets that have a lot of variety

  • images with a lot of background depth, as opposed to something that has more of a flat style

  • art styles that are rather subtle or have a softer contrast

Since datasets and styles can differ significantly and there is always some randomness to what the AI will pick up on, there is no one-size-fits-all solution, but these options should help you get good results.

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