AFD VideoReward Discriminators

Trainable scalar VideoReward discriminators initialized from KlingTeam/VideoReward and adapted with prompt-paired Bradley-Terry loss.

Variants

kling25-turbo-pro/: teacher videos from KlingAI 2.5 Turbo Pro.
seedance-1.5-pro/: teacher videos from Seedance 1.5 Pro.
openvid-1m/: 200 deterministic OpenVid-1M samples (seed 42, at least 81 frames, 3–8 seconds).

Each variant contains discriminator.pt (r=64 LoRA + rm_head), the exact warmup YAML, and machine-readable metadata. The Self-Forcing generator is not included.

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