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Composing concepts as separate image layers in LILAC eliminates identity confusion in multi-concept diffusion models, achieving superior results without joint retraining.
Aggregating gradients from multiple views can dramatically enhance 3D generation performance while cutting optimization steps in half.
Achieving a 76% boost in decorative font generation without sacrificing text legibility, FontFusion redefines typography in diffusion models.
Forget fixed layer counts: LaDe generates fully editable, layered media designs with a *flexible* number of semantically meaningful layers, outperforming existing methods in text-to-layer alignment.
