{"schema":"record/v1","id":"art_01M5NP687FN8FSD7M6E0JMQY58","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does Hailuo's knowledge page recommend for keeping eye-line consistent across angles (master reference image, subtractive prompting), and how much of it is evidence?","summary":"Problem. Gaze direction drifts between generated shots. Conditions. Image-to-video (I2V) workflows; a vendor knowledge page updated Jul 27, 2026. Vendor recommendations (creator-style claims). (1) Master Reference Image (MRI): perfect one still first; three-quarter pose for 3D head structure; neutral expression because high-intensity emotions in the reference lead to 'feature morphing' at other angles; Rembrandt or three-point lighting for consistent catchlights. (2) Use the MRI for every I2V prompt; do not generate new angles from text alone when continuity matters. (3) Subtractive prompting: one gross motion plus one constraint ('Nods thoughtfully, eye-contact maintained, slow zoom') rather than stacking adjectives. (4) Maintain the 180-degree rule manually because current engines have no persistent 3D world memory. (5) Plan for several takes. Evidence quality. The page itself labels its numbers as heuristics: the '5 degrees' eye-line tolerance is 'based on common industry heurist...","status":"active","body":{"text":"Problem. Gaze direction drifts between generated shots. Conditions. Image-to-video (I2V) workflows; a vendor knowledge page updated Jul 27, 2026. Vendor recommendations (creator-style claims). (1) Master Reference Image (MRI): perfect one still first; three-quarter pose for 3D head structure; neutral expression because high-intensity emotions in the reference lead to 'feature morphing' at other angles; Rembrandt or three-point lighting for consistent catchlights. (2) Use the MRI for every I2V prompt; do not generate new angles from text alone when continuity matters. (3) Subtractive prompting: one gross motion plus one constraint ('Nods thoughtfully, eye-contact maintained, slow zoom') rather than stacking adjectives. (4) Maintain the 180-degree rule manually because current engines have no persistent 3D world memory. (5) Plan for several takes. Evidence quality. The page itself labels its numbers as heuristics: the '5 degrees' eye-line tolerance is 'based on common industry heuristics', and the 3:1 generation ratio is 'a hypothetical estimate ... not a controlled lab study'. Treat these as unverified; the qualitative advice (single reference, neutral expression, fewer simultaneous instructions) is plausible but untested here. Failure modes named: eye-line shift between shots, feature morphing. Limitations. Marketing context (B2B); no experiments. Version/date. Updated Jul 27, 2026; fetched 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Entire entry is vendor/creator guidance; no measurement. Numbers on the page are explicitly hypothetical.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://hailuoai.video/pages/knowledge/predictable-eye-line-framing-multi-angle-character-scenes","note":"MRI Best Practices; MRI Best Practices; Subtractive Prompting; Strategy for Multi-Angle Sequences; Logic Summary; Modeling Note"}]},"categories":["T02","T05","T06"],"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://hailuoai.video/pages/knowledge/predictable-eye-line-framing-multi-angle-character-scenes","claim":"Problem. Gaze direction drifts between generated shots. Conditions. Image-to-video (I2V) workflows; a vendor knowledge page updated Jul 27, 2026. Vendor recommendations (creator-style claims). (1) Master Reference Image (MRI): perfect one still first; three-quarter pose for 3D head structure; neutral expression because high-intensity emotions in the reference lead to 'feature morphing' at other angles; Rembrandt or three-point lighting for consistent catchlights. (2) Use the MRI for every I2V prompt; do not generate new angles from text alone when continuity matters. (3) Subtractive prompting: one gross motion plus one constraint ('Nods thoughtfully, eye-contact maintained, slow zoom') rather than stacking adjectives. (4) Maintain the 180-degree rule manually because current engines have no persistent 3D world memory. (5) Plan for several takes. Evidence quality. The page itself labels its numbers as heuristics: the '5 degrees' eye-line tolerance is 'based on common industry heuristics', and the 3:1 generation ratio is 'a hypothetical estimate ... not a controlled lab study'. Treat these as unverified; the qualitative advice (single reference, neutral expression, fewer simultaneous instructions) is plausible but untested here. Failure modes named: eye-line shift between shots, feature morphing. Limitations. Marketing context (B2B); no experiments. Version/date. Updated Jul 27, 2026; fetched 2026-10-23.","locator":"MRI Best Practices; MRI Best Practices; Subtractive Prompting; Strategy for Multi-Angle Sequences; Logic Summary; Modeling Note","classification":"sourced_fact"}],"execution_record_ids":[]},"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"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-5ee0cd965ae71911334d187aad2ab5b42d4c91b7/record.json#p-5ee0cd965ae71911334d187aad2ab5b42d4c91b7/record","import_batch_id":"pipe-7b233330d9d40ab9d0b3dba03882773e10af5282","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-7b233330d9d40ab9d0b3dba03882773e10af5282","original":{"body":{"text":"Problem. Gaze direction drifts between generated shots. Conditions. Image-to-video (I2V) workflows; a vendor knowledge page updated Jul 27, 2026. Vendor recommendations (creator-style claims). (1) Master Reference Image (MRI): perfect one still first; three-quarter pose for 3D head structure; neutral expression because high-intensity emotions in the reference lead to 'feature morphing' at other angles; Rembrandt or three-point lighting for consistent catchlights. (2) Use the MRI for every I2V prompt; do not generate new angles from text alone when continuity matters. (3) Subtractive prompting: one gross motion plus one constraint ('Nods thoughtfully, eye-contact maintained, slow zoom') rather than stacking adjectives. (4) Maintain the 180-degree rule manually because current engines have no persistent 3D world memory. (5) Plan for several takes. Evidence quality. The page itself labels its numbers as heuristics: the '5 degrees' eye-line tolerance is 'based on common industry heuristics', and the 3:1 generation ratio is 'a hypothetical estimate ... not a controlled lab study'. Treat these as unverified; the qualitative advice (single reference, neutral expression, fewer simultaneous instructions) is plausible but untested here. Failure modes named: eye-line shift between shots, feature morphing. Limitations. Marketing context (B2B); no experiments. Version/date. Updated Jul 27, 2026; fetched 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Entire entry is vendor/creator guidance; no measurement. Numbers on the page are explicitly hypothetical.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://hailuoai.video/pages/knowledge/predictable-eye-line-framing-multi-angle-character-scenes","note":"MRI Best Practices; MRI Best Practices; Subtractive Prompting; Strategy for Multi-Angle Sequences; Logic Summary; Modeling Note"}]},"tags":[],"type":"article","links":[],"title":"What does Hailuo's knowledge page recommend for keeping eye-line consistent across angles (master reference image, subtractive prompting), and how much of it is evidence?","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":"Problem. Gaze direction drifts between generated shots. Conditions. Image-to-video (I2V) workflows; a vendor knowledge page updated Jul 27, 2026. Vendor recommendations (creator-style claims). (1) Master Reference Image (MRI): perfect one still first; three-quarter pose for 3D head structure; neutral expression because high-intensity emotions in the reference lead to 'feature morphing' at other angles; Rembrandt or three-point lighting for consistent catchlights. (2) Use the MRI for every I2V prompt; do not generate new angles from text alone when continuity matters. (3) Subtractive prompting: one gross motion plus one constraint ('Nods thoughtfully, eye-contact maintained, slow zoom') rather than stacking adjectives. (4) Maintain the 180-degree rule manually because current engines have no persistent 3D world memory. (5) Plan for several takes. Evidence quality. The page itself labels its numbers as heuristics: the '5 degrees' eye-line tolerance is 'based on common industry heurist...","evidence":{"claims":[{"url":"https://hailuoai.video/pages/knowledge/predictable-eye-line-framing-multi-angle-character-scenes","claim":"Problem. Gaze direction drifts between generated shots. Conditions. Image-to-video (I2V) workflows; a vendor knowledge page updated Jul 27, 2026. Vendor recommendations (creator-style claims). (1) Master Reference Image (MRI): perfect one still first; three-quarter pose for 3D head structure; neutral expression because high-intensity emotions in the reference lead to 'feature morphing' at other angles; Rembrandt or three-point lighting for consistent catchlights. (2) Use the MRI for every I2V prompt; do not generate new angles from text alone when continuity matters. (3) Subtractive prompting: one gross motion plus one constraint ('Nods thoughtfully, eye-contact maintained, slow zoom') rather than stacking adjectives. (4) Maintain the 180-degree rule manually because current engines have no persistent 3D world memory. (5) Plan for several takes. Evidence quality. The page itself labels its numbers as heuristics: the '5 degrees' eye-line tolerance is 'based on common industry heuristics', and the 3:1 generation ratio is 'a hypothetical estimate ... not a controlled lab study'. Treat these as unverified; the qualitative advice (single reference, neutral expression, fewer simultaneous instructions) is plausible but untested here. Failure modes named: eye-line shift between shots, feature morphing. Limitations. Marketing context (B2B); no experiments. Version/date. 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