T-DIG demo: ask for Halloween costumes, get food puns and ML researcher outfits instead of 8 witches

simi_97k · x · 2026-10-28

The T-DIG team demos the pain point with Halloween: asking an image model for "a person in a halloween costume" returns the same witch in 4-8 of 8 i.i.d. samples, and prior unconditional diversity methods just change faces, not costumes.

T-DIG lets you specify the variation axis: "a food pun" yields pumpkin, pizza, burger, and ice-cream costumes, while "low-effort costumes for ML researchers" produces byte me, data miner, neural net, and bug squasher. The tool works with any model and any request.

Related event: CMU Open-Sources T-DIG for Controllable Diversity in Text-to-Image Generation(7 posts)→

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