Concept-Token Attention-Output Projection (ConceptAttention)

Thread extra 'concept' tokens through a frozen diffusion transformer's own text-conditioning weights, one-directionally (concepts read from image/prompt tokens, never write back), then localize each concept by a dot product between concept and image tokens taken specifically in the attention-output space (post output-projection) rather than the raw cross-attention softmax(QK^T)V space.