[cosmos3] Cosmos3-Nano GRPO support: train pipeline config, VideoAlign reward, T2V recipe#25

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Commits on Jul 8, 2026

feat(cosmos3): train pipeline config + token-level CondKwargs

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feat(cosmos3): VideoAlign reward worker + T2V recipe script

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fix(cosmos3): integration fixes from the T2I pipeline smoke

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fix(cosmos3): run VideoAlign actors via py_executable runtime_env

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docs(cosmos3): fill e2e T2V experiment results into the report

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feat(cosmos3): per-dimension VideoAlign reward logging + benchmark table

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feat(cosmos3): enable reference KL (beta=0.01) and rollout debug mode in the T2V recipe

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chore(cosmos3): default KL off (pure-clip, Wan-recipe parity); keep debug mode

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docs(cosmos3): record T2V model_output diff observation

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chore(cosmos3): keep the adaptation report out of the PR

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fix(cosmos3): train/rollout velocity mismatch — FSDP2 forward-input cast

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feat: --keep-last-n-checkpoints — prune stale iter_* snapshots after save

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Commits on Jul 9, 2026

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Commits on Jul 11, 2026

feat(diffusion): --diffusion-kl-std-floor to equalize KL stiffness across sigma steps

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Commits on Jul 14, 2026

chore(cosmos3): keep only the pickscore T2I recipe in scripts/

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Commits on Jul 15, 2026