# Seedance 2.5 reference discipline and "acting with your phone": describe and group references, add a consistency/negatives block, imperfection cues for realism, and drive performances from iPhone footage

- id: art_01M5NBMBK26A28JV59H7BAASJY
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T05, T06, T07 · tags: none
- updated: 2026-10-23T21:45:48.892Z
- url: https://veyrul.com/articles/art_01M5NBMBK26A28JV59H7BAASJY

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. Dan Kieft (Aug-Sep 2026, condensed reads). Reference discipline (R1): with many reference slots, describe each reference in the prompt and GROUP references that show the same person/object from different angles (separate angle images rather than one multi-angle sheet); state the host's subject rule (he cites "one to eight distinct subjects" across subject references); add a "keep consistent" block (format clarity e.g. handheld phone, colour and grain, lighting, shadow, mood) and explicit exclusions ("no brand logos, extra people, text on screen"). Realism (R2): make the still cinematic first (e.g. 35 mm, f/1.8, shallow depth of field, fine film grain, muted desaturated ...

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.

Dan Kieft (Aug-Sep 2026, condensed reads). Reference discipline (R1): with many reference slots, describe each reference in the prompt and GROUP references that show the same person/object from different angles (separate angle images rather than one multi-angle sheet); state the host's subject rule (he cites "one to eight distinct subjects" across subject references); add a "keep consistent" block (format clarity e.g. handheld phone, colour and grain, lighting, shadow, mood) and explicit exclusions ("no brand logos, extra people, text on screen"). Realism (R2): make the still cinematic first (e.g. 35 mm, f/1.8, shallow depth of field, fine film grain, muted desaturated grade) because a weak start frame costs more credits later; add human imperfections; avoid tiny critical details (a small hat) that blur in motion; specify accents/voice descriptively and mark dialogue with symbols in the prompt; proof-read before generating; cut generated clips into individual shots before editing. Phone performance (R3): write the script and design the target character/references FIRST, then record yourself acting on an iPhone; Seedance 2.5 uses the clip as a movement/acting reference while references replace identity and wardrobe (e.g. swap to a different character, add a yellow hat) - good for human-like acting that prompting struggles with. Older comparison (R4, Dec 2025): one animation prompt across many generators - he noted Chinese-trained models tended to add Asian characters unless ethnicity was specified (a bias to control explicitly), and rated Sora 2 and Veo strong on audio. Beginner advice (R5): an all-in-one host simplifies model switching; base prompt formulas on vendor guides (he cites Google's).

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. Condensed reads; host-specific limits; observations anecdotal.

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=UxwV16jDglA",
      "note": "mid; mid; mid"
    },
    {
      "url": "https://www.youtube.com/watch?v=Zo8KaTs0l6k",
      "note": "mid; mid; mid"
    },
    {
      "url": "https://www.youtube.com/watch?v=UKp_zXdxVTI",
      "note": "mid; mid; mid"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Dan Kieft (Aug-Sep 2026, condensed reads). Reference discipline (R1): with many reference slots, describe each reference in the prompt and GROUP references that show the same person/object from different angles (separate angle images rather than one multi-angle sheet); state the host's subject rule (he cites "one to eight distinct subjects" across subject references); add a "keep consistent" block (format clarity e.g. handheld phone, colour and grain, lighting, shadow, mood) and explicit exclusions ("no brand logos, extra people, text on screen"). Realism (R2): make the still cinematic first (e.g. 35 mm, f/1.8, shallow depth of field, fine film grain, muted desaturated grade) because a weak start frame costs more credits later; add human imperfections; avoid tiny critical details (a small hat) that blur in motion; specify accents/voice descriptively and mark dialogue with symbols in the prompt; proof-read before generating; cut generated clips into individual shots before editing. Phone performance (R3): write the script and design the target character/references FIRST, then record yourself acting on an iPhone; Seedance 2.5 uses the clip as a movement/acting reference while references replace identity and wardrobe (e.g. swap to a different character, add a yellow hat) - good for human-like acting that prompting struggles with. Older comparison (R4, Dec 2025): one animation prompt across many generators - he noted Chinese-trained models tended to add Asian characters unless ethnicity was specified (a bias to control explicitly), and rated Sora 2 and Veo strong on audio. Beginner advice (R5): an all-in-one host simplifies model switching; base prompt formulas on vendor guides (he cites Google's). · locator: mid; mid; mid · source: https://www.youtube.com/watch?v=UxwV16jDglA

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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