can you imagine this lora be trained on just 3 images? yeah, me neither but it works!how did this happen?i generated the initial images with perchance. a front view, side view and rear view with enough coherence to resemble the character. after using comfyui locally to do variations and upscaling i thought "why not try to make a lora?"i have been thinking about it for a while after training my last lora that "in theory" it should be possible to make a character lora with just 3 images and minimal tagging for trigger words.this way the lora only has the character and no random clutter that bloats training steps and generations. given that this is only gen 4 of the training and it is already slightly overbaked, suggests that lora training is possible with a tiny dataset and minimal tags for training in a fast and efficient way.in hindsight, one might also check out the hyper lora paper and the experimental model that can generate lora weights on the fly during generation.

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