Seedance 2 Is Finally Here (This Is Insane)
As new video generation models like Seedance 2 drop, understanding how underlying platform mechanics—such as aspect ratio inheritance and multi-image queuing—impact production is crucial for achieving professional cinematic results.
What this lesson covers
This video provides a first look and beginner's guide to using the newly released Seedance 2 model on the Flashboards platform. The host walks through step-by-step workflows, highlighting how detailed prompts, aspect ratio inheritance from input images, and multi-image referencing affect final video outputs.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:39 ↗
Seedance 2 performs significantly better with long, detailed prompts that clearly describe the action, environment, and cinematic style.
- 01:30 ↗
Model selection in Flashboards includes a fast version taking about 8 minutes and Seedance 2 taking around 15 minutes for higher quality.
- 02:38 ↗
The orientation of the output video is automatically determined by the aspect ratio of the first input image uploaded.
- 04:39 ↗
Seedance 2 currently allows up to four input images, and users can directly reference image 1, 2, 3, or 4 inside the prompt.
- 06:39 ↗
A built-in video watermark removal workflow in Flashboards can automatically detect and clear watermarks generated by API outputs.
Workflow outlined in the video
- Access the Flashboards platform and navigate to the models tab to locate Seedance 2.
- Prepare detailed, descriptive prompts defining your scene's action, environment, and style rather than relying on short text.
- Upload your initial reference image matching your desired final video orientation as the very first image in the queue.
- Utilize up to four input images and reference them explicitly in your prompt if combining multiple visual assets.
- Run the generated video through the watermark removal workflow in Flashboards if an API watermark appears.
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.
How to interpret the numbers
16,224 views captured 24 October 2026. ReelStack recommendation score: 40/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 1.02× views vs 4 other channel videos observed at a similar age. View-evidence factor 94% (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: 89/100; likes + 4× comments, smoothed with a 500-view neutral prior