AI Motion Design Promo Workflow with Seedance 2 + FlashBoards
Demonstrates a repeatable, credit‑efficient pipeline that lets motion designers produce high‑quality promos without manual keyframing.
What this lesson covers
The creator walks through an AI motion‑design promo workflow using Seedance 2 on FlashBoards, emphasizing scene control with multiple references and prompt engineering. The video also showcases Topaz Starlight 2.5 upscaling to 4K and credit‑saving strategies.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:32 ↗
Claude is used to brainstorm and structure the promotional concept.
- 02:59 ↗
Full scene control is achieved by pairing detailed prompts with multiple reference images.
- 04:47 ↗
Adding extra reference images dramatically improves fidelity and reduces credit waste.
- 07:15 ↗
Topaz Starlight 2.5 upscales AI‑generated video to 4K while preserving temporal consistency.
- 08:03 ↗
Upscaling levels affect visual changes; choose the level that matches your artistic goal.
Workflow outlined in the video
- Start by prompting an AI assistant (e.g., Claude) for a concise promo idea.
- Gather reference images for each visual style and upload them to FlashBoards.
- Create a detailed prompt that references each image to enforce scene control.
- Generate the video with Seedance 2 (SeaDance) via FlashBoards, monitoring credit usage.
- Apply Topaz Starlight 2.5 upscaling at the appropriate level for final delivery.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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How to interpret the numbers
10,318 views captured 24 October 2026. ReelStack recommendation score: 25/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.53× views vs 6 other channel videos observed at a similar age. View-evidence factor 91% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 4 views/day vs 38 channel baseline (4 comparable uploads), with the same view-evidence factor
- 10% engagement: 87/100; likes + 4× comments, smoothed with a 500-view neutral prior