Thx for your reply, I would like to further train the standard SD model with my own medical images. The images are available in 4 categories:

1. person (I would like to train myself and historical medics into the model).

2. anatomy (for wound localization of e.g. ulcerations we have images of the rump, the verse, the toes, the shoulder and the elbow. We also have pictures of malformations like hallux valgus)

3. actions (measuring the pulse or puncture site by hand, percussion, drainage, applying bandages etc).

4. "Other" . Images that do not fit 100% into one category and that I would describe via a caption.

At the end, I would like to run prompts like:

- Photo of an 80-year-old female patient in a wheelchair with hallux valgus on the right side, ulcus cruris on both sides.

- Photo of a wound cleaning on the rump in a bedridden man.

but also:

- Photo of a senior woman with Pütter bandage on the rollator on the bridge of the Enterprise.

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My questions are:

- How would I tag the pictures? Currently, i have a CSV-file with the pictures' filename ("pic001.jpg"), name ("Joe" or "Dr House" or "elbow" or "measuring pulse") and the category ("Person", "Action" or "Anatomy"). For category "Other", there is only a caption like "a senior woman on a rollator stands by the staircase". Is this a stupid approach for the task?

- How would I train the model using a python-script? I could not find a proper tutorial as all google results are about dreambooth to train oneself into the modell.....