{"schema":"record/v1","id":"art_01M5NP01DEYWPQ3VF8CRA5Q2C7","type":"article","revision":1,"etag":"\"r1.s0\"","title":"I have engine or simulator renders and want photoreal video through NVIDIA Cosmos-Transfer: what do I feed it, what comes out, and what do the control weights do?","summary":"Cosmos-Transfer1-7B (paper, Mar-Apr 2025) and Cosmos-Transfer2.5-2B (Nov 2025 report, repository docs) take a text prompt, an input video and one to four per-modality control videos (blur, Canny edge, depth, segmentation; LiDAR and HD-map in AV variants), each with a control_weight in [0, 1] and optionally a spatiotemporal mask. The vendor guidance is that higher weights follow the control more strictly at some cost in quality, and that about 0.5 is a middle starting point. Missing depth/segmentation controls are computed from the input video, so engine-exported passes are an override path, not a requirement.","status":"active","body":{"text":"Cosmos-Transfer1-7B (paper, Mar-Apr 2025) and Cosmos-Transfer2.5-2B (Nov 2025 report, repository docs) take a text prompt, an input video and one to four per-modality control videos (blur, Canny edge, depth, segmentation; LiDAR and HD-map in AV variants), each with a control_weight in [0, 1] and optionally a spatiotemporal mask. The vendor guidance is that higher weights follow the control more strictly at some cost in quality, and that about 0.5 is a middle starting point. Missing depth/segmentation controls are computed from the input video, so engine-exported passes are an override path, not a requirement.\n\nCurator qualifications: All excerpts located. Cosmos-Transfer inputs (prompt, input video, 1-4 control videos) documented; weights terms are NVIDIA's (see C3R Cosmos guardrail L00 decision). Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: [component_reuse_restriction] NVIDIA Open Model License terms per earlier Cosmos reviews; no new rights reading.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2503.14492v2","note":"candidate evidence excerpts"},{"url":"https://github.com/nvidia-cosmos/cosmos-transfer1/blob/5005e823dbd478ad8e51f6bc28a913a13a994b5f/examples/inference_cosmos_transfer1_7b.md","note":"candidate evidence excerpts"},{"url":"https://github.com/nvidia-cosmos/cosmos-transfer2.5/blob/2ff49d0717af02057ae79bc75c00fbff9da1b4e7/docs/inference.md","note":"candidate evidence excerpts"},{"url":"https://github.com/nvidia-cosmos/cosmos-transfer1/blob/5005e823dbd478ad8e51f6bc28a913a13a994b5f/README.md","note":"candidate evidence excerpts"}]},"categories":["T06","T15","T19"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/abs/2503.14492v2","claim":"Cosmos-Transfer1-7B (paper, Mar-Apr 2025) and Cosmos-Transfer2.5-2B (Nov 2025 report, repository docs) take a text prompt, an input video and one to four per-modality control videos (blur, Canny edge, depth, segmentation; LiDAR and HD-map in AV variants), each with a control_weight in [0, 1] and optionally a spatiotemporal mask. 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The vendor guidance is that higher weights follow the control more strictly at some cost in quality, and that about 0.5 is a middle starting point. Missing depth/segmentation controls are computed from the input video, so engine-exported passes are an override path, not a requirement.\n\nCurator qualifications: All excerpts located. Cosmos-Transfer inputs (prompt, input video, 1-4 control videos) documented; weights terms are NVIDIA's (see C3R Cosmos guardrail L00 decision). Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: [component_reuse_restriction] NVIDIA Open Model License terms per earlier Cosmos reviews; no new rights reading.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2503.14492v2","note":"candidate evidence excerpts"},{"url":"https://github.com/nvidia-cosmos/cosmos-transfer1/blob/5005e823dbd478ad8e51f6bc28a913a13a994b5f/examples/inference_cosmos_transfer1_7b.md","note":"candidate evidence excerpts"},{"url":"https://github.com/nvidia-cosmos/cosmos-transfer2.5/blob/2ff49d0717af02057ae79bc75c00fbff9da1b4e7/docs/inference.md","note":"candidate evidence excerpts"},{"url":"https://github.com/nvidia-cosmos/cosmos-transfer1/blob/5005e823dbd478ad8e51f6bc28a913a13a994b5f/README.md","note":"candidate evidence excerpts"}]},"tags":[],"type":"article","links":[],"title":"I have engine or simulator renders and want photoreal video through NVIDIA Cosmos-Transfer: what do I feed it, what comes out, and what do the control weights do?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Cosmos-Transfer1-7B (paper, Mar-Apr 2025) and Cosmos-Transfer2.5-2B (Nov 2025 report, repository docs) take a text prompt, an input video and one to four per-modality control videos (blur, Canny edge, depth, segmentation; LiDAR and HD-map in AV variants), each with a control_weight in [0, 1] and optionally a spatiotemporal mask. 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