Complete breakdown

Bangkok Luxury Ad

A deliberately simple luxury fashion workflow: build the model, create the reference sheet, define the Bangkok scene, generate the whole ad in one Seedance 2.0 prompt, then finish with music.

This breakdown shows the opposite of the more iterative workflows: minimal asset chain, one clean video prompt, no salvage editing, and only a final music pass to complete the ad.

GPT Image 2Reference Sheet PDFSeedance 2.0CapCut

Workflow

  1. 1Start by generating the full-body luxury model image in GPT Image 2 so the identity, gown, jewelry, and campaign styling are locked cleanly from the beginning.
  2. 2Convert the generated model into a cleaner production reference using the standard character reference sheet PDF.
  3. 3Create the Bangkok Chinatown environment that defines the setting, lighting, color palette, and travel-luxury contrast for the ad.
  4. 4Generate the entire ad in one Seedance 2.0 pass using the model identity reference plus the Bangkok scene reference.
  5. 5The finishing step is minimal: use the generated ad, add the song, and stop there.

This direct link includes the complete breakdown and every file promised with the video.

Final montage

32.6 MB • 1440×2560 • 0:15

Breakdown Step

1. Model image

Start by generating the full-body luxury model image in GPT Image 2 so the identity, gown, jewelry, and campaign styling are locked cleanly from the beginning.

This first image is the model identity anchor for the whole ad. It establishes the face, body shape, black satin gown, jewelry, studio polish, and overall high-end brand tone.

The goal here is a complete head-to-toe model image that is strong enough to support both the later reference-sheet step and the final video prompt.

Model image prompt

Creates the full-body luxury fashion model image in GPT Image 2.

Breakdown Step

2. Model reference sheet

Convert the generated model into a cleaner production reference using the standard character reference sheet PDF.

The model reference image is created by applying the reusable `character_reference_sheet_prompt.pdf` to the generated model image.

This step keeps the workflow simple while giving the final video prompt a more stable identity reference to pull from.

PDF document

character_reference_sheet_prompt.pdf

4.4 KB

Notes

  • The PDF is the standard reusable reference-sheet prompt asset used to turn a generated model image into a cleaner identity sheet.

Breakdown Step

3. Scene image

Create the Bangkok Chinatown environment that defines the setting, lighting, color palette, and travel-luxury contrast for the ad.

This image defines the real-world street atmosphere for the final ad: tuk-tuks, dense signage, dry asphalt, warm late-afternoon sun, and layered Bangkok depth.

The contrast between the elegant black gown and the gritty polished Chinatown street is intentional and becomes the central visual idea of the video.

Scene image prompt

Creates the Bangkok Chinatown environment still for the ad.

Breakdown Step

4. Single-prompt video generation

Generate the entire ad in one Seedance 2.0 pass using the model identity reference plus the Bangkok scene reference.

This is the core lesson of the breakdown: keep it simple. Instead of building many clips or rescue edits, the whole ad is generated from one clear video prompt.

The model identity reference and the Bangkok scene reference do the heavy lifting. No clip stitching, no salvage workflow, and no multi-shot patching are needed here.

Video prompt

Generates the entire Bangkok luxury ad in one Seedance 2.0 pass.

Breakdown Step

5. Final audio assembly

The finishing step is minimal: use the generated ad, add the song, and stop there.

After the video was generated, the only finishing step was adding the background track in the edit.

This keeps the workflow consistent with the overall philosophy of the breakdown: clean setup, one strong prompt, and minimal post work.

The song used here was `Legacy by Sever`, and it is reference-only rather than a downloadable asset.

Notes

  • The MP3 is intentionally not uploaded or exposed as a downloadable asset in this breakdown.

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