Trains a second OnlineValueFunction on rated video latents (compressed via channel mean-pool). At each denoising step, computes ∂reward/∂latent through the lightweight MLP and applies it as an in-place drift to the noisy latent — gradients never touch the 22B transformer. Controlled by embed_guidance_strength alongside the existing conditioning guidance. Studio toggle: "Latent guidance". Cleared on session reset alongside the conditioning VF. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>