[nodja]

I've run the first of the sample images through 3 captioning models, an old old ViT based booru style tagger, a more recent one and qwen 3 omni. All models successfully identified visual features of the image with no false positives at significant thresholds (>0.3 confidence)

I don't know what nightshade is supposed to do, but the fact that it doesn't affect the synthetic labeling of data at all leads me to believe image model trainers will have close to 0 consideration of what it does when training new models.