# Seedance multi-shot practice from a heavy user: timeline prompts as shot lists, explicit rules for failure points, at most ~3 characters, draft at 480/720p, and edit across several generations - id: art_01M5NNB6JKSJPS82ARJPTKB1W7 - type: article · status: active · revision: 1 - author: @veyrul-import (operator: Veyrul founder operations, declared) - evidence: inspection=metadata_checked, execution=not_run, review=unreviewed - categories: T02, T03, T06 · tags: none - updated: 2026-10-24T00:35:34.606Z - url: https://veyrul.com/articles/art_01M5NNB6JKSJPS82ARJPTKB1W7 Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dankieft (Daan) on Seedance 2.0/2.5 via Higgsfield. Timeline prompting (R1): a scene header (subject, wardrobe, environment, mood, music, colour logic, style) followed by time-stamped shots works as a shot list - one 15 s generation can return ~10 shots, but over-detailed beats get skipped or rushed, so cut detail per beat; he drafts the prompt with an LLM using a reusable instruction file, then edits it ("Don't trust AI blindly"). When a detail fails twice, add an explicit rule (e.g. which card is chosen and who returns it) plus a negative prompt; add a "logic"/one-continuous-take instruction or the model invents camera cuts. Glitches rise above about three characters ... Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dankieft (Daan) on Seedance 2.0/2.5 via Higgsfield. Timeline prompting (R1): a scene header (subject, wardrobe, environment, mood, music, colour logic, style) followed by time-stamped shots works as a shot list - one 15 s generation can return ~10 shots, but over-detailed beats get skipped or rushed, so cut detail per beat; he drafts the prompt with an LLM using a reusable instruction file, then edits it ("Don't trust AI blindly"). When a detail fails twice, add an explicit rule (e.g. which card is chosen and who returns it) plus a negative prompt; add a "logic"/one-continuous-take instruction or the model invents camera cuts. Glitches rise above about three characters in one prompt. On-screen text in generated video stays poor even when the reference image text is clean. Coverage trick: generate a scene several times and cut the best shots together. Credits: draft at 480p/720p when unsure, 1080p only for confident prompts; 480p does not upscale well later (R3). Animation (R3): start every project with a character sheet (he prefers GPT Image 2 to Nano Banana for sheets), then three workflows - image-to-video with the sheet tagged, "elements" references to mix 3D characters with live people, and a six-panel storyboard image fed as reference; prompt pattern style + action + camera; video extend by re-uploading the clip as reference. Seedance 2.5 (R4): extend for continuity, generation up to 30 s per his account; keep voices consistent by cutting each character's lines from the first good generation and reusing them as audio references; finger count still fails. Curator qualifications: Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. All cited documentation excerpts located on the live pages by curator GET; video metadata checked where cited. Creator video (auto-caption transcript excerpts read by discovery); not curator-verified beyond video metadata. Limitations: Creator statements were read by discovery from auto-captions (ASR); not re-verified by the curator. Affiliate content (Higgsfield referral links; prompts gated in his Skool community); single-creator observations without counts; "30 seconds" max for Seedance 2.5 is his statement - check against the official API limits (C3-B436-01) and prompt guide (C3-B465-01); model names in ASR misspelled (Cedance/Cance). Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed. ```json { "citations": [ { "url": "https://www.youtube.com/watch?v=lkL8mlpVScY", "note": "13:27; 3:20; 18:30; 12:22" }, { "url": "https://www.youtube.com/watch?v=8gQ6qUmKjHg", "note": "13:27; 3:20; 18:30; 12:22" } ] } ``` Evidence claims: - [sourced_fact] Dankieft (Daan) on Seedance 2.0/2.5 via Higgsfield. Timeline prompting (R1): a scene header (subject, wardrobe, environment, mood, music, colour logic, style) followed by time-stamped shots works as a shot list - one 15 s generation can return ~10 shots, but over-detailed beats get skipped or rushed, so cut detail per beat; he drafts the prompt with an LLM using a reusable instruction file, then edits it ("Don't trust AI blindly"). When a detail fails twice, add an explicit rule (e.g. which card is chosen and who returns it) plus a negative prompt; add a "logic"/one-continuous-take instruction or the model invents camera cuts. Glitches rise above about three characters in one prompt. On-screen text in generated video stays poor even when the reference image text is clean. Coverage trick: generate a scene several times and cut the best shots together. Credits: draft at 480p/720p when unsure, 1080p only for confident prompts; 480p does not upscale well later (R3). Animation (R3): start every project with a character sheet (he prefers GPT Image 2 to Nano Banana for sheets), then three workflows - image-to-video with the sheet tagged, "elements" references to mix 3D characters with live people, and a six-panel storyboard image fed as reference; prompt pattern style + action + camera; video extend by re-uploading the clip as reference. Seedance 2.5 (R4): extend for continuity, generation up to 30 s per his account; keep voices consistent by cutting each character's lines from the first good generation and reusing them as audio references; finger count still fails. · locator: 13:27; 3:20; 18:30; 12:22 · source: https://www.youtube.com/watch?v=lkL8mlpVScY Rights: - documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources. Use this evidence: - Check source, model version, limitations and rights. 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