Seedance 2.0 Multi-Shot Prompts Replace Full Workflows

I stumbled on a post that completely shifted how I think about AI video production. Most text-to-video tools force you into a painfully slow loop: generate one image, make one clip, generate the next image, make another clip, stitch them together. It’s tedious, and the results often feel disconnected. This LinkedIn creator shared a workflow using Seedance 2.0 that throws that entire process out the window.

The core idea is brilliant in its simplicity. Seedance 2.0 supports multi-shot prompting with multiple images, which means a single text prompt becomes your entire production pipeline. Instead of generating one video per image with limited shots, you feed it 9 images and get back a full 15-second video. One prompt. One generation. Done.

How the Multi-Shot Prompt Structure Works

Here’s where it gets practical. The original poster laid out a clear prompt template that anyone can follow. Think of it as a script format where each shot is a scene direction tied to a specific reference image.

The structure breaks down into these steps:

1. Set the stage: Open your prompt with the overall style, context, and character description. This anchors the entire video’s visual identity and tone.
2. Write Shot 1: Describe the opening scene and reference your first image (e.g., “In X context, something happens in @image1”). This tells Seedance what to show and which reference image to base it on.
3. Write Shot 2: Move the story forward with a new action or dialogue, referencing @image2. Each shot advances the narrative.
4. Write Shot 3: Introduce interaction or movement between characters or elements, pulling in multiple images if needed (e.g., “Someone in @image3 runs into @image4”).
5. Write Shot 4: Use rapid transitions for dynamic energy. You can reference several images in a single shot (e.g., “Rapidly fly over @image5, @image6, @image7”) to create montage-style sequences.
6. Write Shot 5: Close with a final scene, overlay text, or call to action using your remaining image references.
7. Add atmosphere: End the prompt with music direction, background noise, and any other contextual details that shape the mood.

Each shot maps directly to one or more reference images, giving you precise control over what appears on screen, and when. You’re essentially directing a short film through a single prompt.

Why This Matters for Your Video Workflow

The expert behind this post pointed out something worth repeating: this prompt structure is a streamlined version of a node-based workflow. If you’ve ever wrestled with ComfyUI or similar tools, chaining together dozens of nodes just to produce a coherent video sequence, you’ll immediately see the appeal. All that visual programming collapses into a structured text prompt.

But here’s what I think makes this truly powerful: it’s not an either/or situation. This approach can also be integrated into existing node-based workflows as a component. You could use Seedance 2.0 as one powerful node inside a larger production pipeline, handling the multi-shot video generation while other tools manage audio, effects, or post-processing.

A Real-World Example

The innovator demonstrated this by creating a video using just 3 Seedance 2.0 generations. The input? Voice notes and slides generated through NotebookLM. That’s a workflow worth paying attention to: capture your ideas as voice memos, let NotebookLM turn them into visual slides, then feed those slides as reference images into a multi-shot Seedance 2.0 prompt. Three tools. Minimal friction. Professional-looking output.

Quick Tips to Get Started

• Prepare your images first: Have all 8-9 reference images ready before writing your prompt. Knowing what visuals you have shapes how you write each shot.
• Keep shots sequential: Write them in narrative order. Seedance 2.0 processes the shots linearly, so your story should flow from Shot 1 through Shot 5.
• Use multiple images per shot sparingly: Referencing 2-3 images in a single shot works great for fast-paced montages, but overloading a shot with too many references can muddy the output.
• Be specific with actions: Vague directions produce vague results. “Someone walks” is weaker than “A woman in a red coat turns sharply toward the camera.”
• Experiment with atmosphere lines: The closing music and sound direction lines have a real impact on pacing and mood. Don’t skip them.

This approach turns what used to require a multi-tool, multi-step production process into something you can iterate on in minutes. If you’re producing short-form video content, explainers, or social clips, it’s worth testing this prompt structure with your own images and seeing how far a single generation can take you.

Check out the full LinkedIn post for the original breakdown and video example.