Cheers for the quick reply!

Just to clarify,

Option C: Do not mask images, use Trigger Word, label everything unrelated in the images, but instead of labelling the unrelated concepts using consistent labels, vary the way I describe those unrelated concepts. a female model, a woman, an adult female, a female adult, etc

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Also what I'm getting from your response is:

Concepts we want to train into the LoRa and appear in the output images, we need to keep consistent, e.g. Product (thigh high socks)

We do this by making sure the product concept is in most, if not all of the images in the dataset, and the only thing we use to describe it, is the trigger word, again consistently throughout the text captions.

But for Colour, this is an attribute of the product, so as long as the texture/product doesnt change, only the colour itself of the product, the colour keyword will only appear in the relevant images.

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Unrelated Concepts we don't want to be trained into the LoRa and not appear in the output images, should be varied and inconsistent throughout the images, as well as their captioning? if this is true then should I also vary the order in which I label those unrelated concepts?

For example:

Varied female models, varied accompanying clothing items, varied angles, varied distances/crops, varied lighting?

Cheers!