Why I Generate AI Ads in 1080p, Not 4K (Seedance Test)
Evaluating resolution trade-offs in AI video generators helps creators optimize generation costs without sacrificing final commercial polish.
What this lesson covers
Thomas Lundström tests Seedance 4K against Seedance 1080p across seven AI product commercial scenarios to evaluate visual quality, shot selection, and text legibility. He finds that 1080p is sufficient and more cost-effective for most projects, whereas 4K provides value primarily for small label text rendering and reducing camera warping.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:47 ↗
Seedance 4K and 1080p yield comparable overall visual quality, but 4K reduces camera warping on orbiting product shots and retains finer details.
- 04:06 ↗
Both 1080p and 4K modes generate nearly identical quality and text rendering on close-up liquid dropper shots.
- 05:53 ↗
Identical prompts create varied shot selections and edit styles due to inherent model randomness, requiring detailed prompts to maintain consistency.
- 08:38 ↗
Seedance 4K significantly outperforms 1080p in legibility when rendering fine text on dynamic product labels.
- 10:35 ↗
Standard commercial workflows can rely on 1080p or 720p to conserve credits, saving 4K generations specifically for complex, detailed text labels.
Workflow outlined in the video
- Generate initial test cuts at 1080p or 720p to verify narrative pacing and camera motion before spending credits on higher resolutions.
- Provide dedicated high-resolution reference images for product labels to improve text rendering accuracy.
- Reserve 4K generation mode exclusively for shots featuring micro-text or complex visual details on labels.
- Use long, descriptive prompts to constrain model randomness and maintain visual continuity across cuts.
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
3,098 views captured 27 September 2026. ReelStack recommendation score: 30/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 0.59× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 76% (views / (views + 1,000))
- 25% freshness: 5/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 100/100; likes + 4× comments, smoothed with a 500-view neutral prior