This Secret SEEDANCE 2 Workflow Feels like CHEATING
Combining advanced LLMs like Claude with powerful multi-shot video generators allows creators to automate complex commercial storyboards with high stylistic consistency.
What this lesson covers
This video explains a specialized workflow for generating professional product videos using Seedance 2.0 and Claude for advanced multi-shot prompting. It showcases how to leverage style reference images to maintain visual cohesion across multi-second commercial sequences.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:11 ↗
Using the Omni feature with a few high-quality style reference images helps lock in the visual style for a commercial while letting the video model fill the gaps.
- 01:46 ↗
Claude skills can be used as prompt helpers to generate detailed multi-shot sequences and map out timestamps for video models like Seedance 2.0.
- 03:54 ↗
Uploading reference images in a specific order and referencing their tag names (image one, two, three) ensures proper asset continuity in multi-shot prompts.
- 07:08 ↗
Reusing the same base style images with a new Claude prompt allows creators to generate alternative commercial cuts for the same product.
Workflow outlined in the video
- Gather initial reference images of your product on a clean background or find visual inspiration on Pinterest.
- Use Claude with dedicated prompting skills to break down reference images into structured multi-shot prompts.
- Navigate to the video generation tab in Higgsfield and select Seedance 2.0.
- Upload your reference assets and tag them in the correct sequential order.
- Paste the detailed multi-shot prompt from Claude into the model dashboard and run the generation.
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.
Explore the tools
How to interpret the numbers
31,723 views captured 24 October 2026. ReelStack recommendation score: 59/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 3.60× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 97% (views / (views + 1,000))
- 25% freshness: 0/100 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