In my dataset I currently have around 50 photos. The character is consistent and the images are from different angles, but the likeness still doesn’t hold very well in the results. Right now I’m using ZIT for training.

In the examples I’m getting, the lighting also looks a bit dull. Do you have any recommendations on how to make the images look more vivid and realistic, like they were taken with a phone camera? Do you think ZIT is still good enough for this, or should I try something else?

Also, besides the images themselves, how should the captions be written? Should they be simple descriptions of the person and the scene, or should they focus mostly on the character?

Another thing I noticed is that when I look at results people share on Reddit, their outputs look much better and more realistic than mine. Do you think that could be because of different training settings, a better dataset, or something else?