You Are the Dataset Now
On the particular mistake of training a LoRA on your own face too many times.
Overfitting a LoRA on your own face is still exactly this easy and exactly this embarrassing. The training pitfalls haven't changed. The self-awareness hasn't helped.
There is a specific moment when you realize you've overfit a model on your own face.
It's not a gradual dawning. It's a confirmation — you look at the outputs, you already knew, you just needed to see it rendered at full resolution to make it official.
Trained a Flux LoRA on photos I took with the Meta Ray-Bans. Used too many of myself. The model has now learned, with great conviction, that the concept I was trying to capture is my face. This is not what I was going for. The glasses were a secondary concern. The face was supposed to be incidental. The model disagreed.
The Ray-Bans at least got the glasses right. Portrait mode, good light, decent angle — the frames came through clean. So the LoRA knows what the glasses look like, and it knows what I look like wearing them, and it has fused these two facts into something that is technically a success and practically a curse.
The correct number of selfies to include in a training set is, apparently, fewer than however many I used.
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