twinflow-one-step-generation

Train single-step image generators without teacher models or standard adversarial networks. Achieves 0.83 GenEval score at 1-NFE with 100× computational efficiency gains—when you need real-time image synthesis from pre-trained diffusion models.

Independent GitHub snapshot · Automated classification · Original documentation governs