You're Prompting SEEDANCE 2.5 Like a BEGINNER (and How to Level Up)

What this lesson covers

Thomas Lundström breaks down four distinct levels of prompt engineering for Seedance 2.5, comparing basic single-reference requests against highly structured asset-linked workflows. He evaluates the practical trade-offs between 720p and 1080p render modes, highlighting how detailed scene structuring controls visual consistency and credit consumption.

Key takeaways from the creator

AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.

1. 01:48 ↗

   Single-image reference prompting allows Seedance 2.5 to hallucinate symmetrical product details incorrectly on unobserved sides.

2. 02:19 ↗

   Creating multi-angle reference sheets improves product continuity across multi-shot video generations.

3. 03:33 ↗

   Generating directly in 1080p provides sharper detail than 720p, but consumes considerably more credits compared to upscaling lower-resolution outputs.

4. 05:05 ↗

   Formulaic prompts that omit strict asset control often introduce random artifacting when human character movement is added.

5. 05:57 ↗

   Structuring comprehensive prompts that explicitly link character, product, and environment assets unlocks full control over 30-second video generations.

Workflow outlined in the video

1. Generate multi-angle product reference sheets rather than using a single side-profile image.
2. Draft structural prompt schemas organizing subject, action, background, camera movement, and aesthetic style.
3. Link character, product, and location asset tags explicitly inside the main prompt body to enforce continuity.
4. Test shot compositions in 720p first to conserve generation credits during the revision phase.
5. Upscale final 720p outputs in post-production if native 1080p generation credit costs are prohibitive.

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

11,002 views captured 27 September 2026. ReelStack recommendation score: 53/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.

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