Live video streaming needs to respond instantly while remaining visually consistent over long conversations.

We achieved this by distilling a large 40-step diffusion teacher with 3-way CFG (120 evaluations per video chunk) into an unguided 2-step causal student with a fixed-length KV cache. Self-forcing helps the student resist drift and maintain near teacher quality with 60x fewer evaluations.