Seedance 2.0 Prompt Examples: 4 Tests for Motion, Continuity, Product Storytelling, and Storyboarding

The first few Seedance 2.0 outputs often look promising. Then the same problems show up: motion starts to drift, subject details change, camera logic gets muddy, or the rhythm no longer matches the idea.

That is why a useful Seedance 2.0 prompt guide is not really about finding better adjectives. The real problem is control. Once you start mixing text, images, videos, and audio, the question becomes how to assign each input a clear job and keep the model from guessing the hierarchy on its own.

This guide is based on the Seedance 2.0 handbook in the provided reference doc. The strongest idea in that handbook is simple: treat prompting as shot planning. Text defines the intent. Images lock identity or detail. Video teaches motion and camera language. Audio shapes rhythm and mood. The @asset syntax tells the model which role each file should play.

If you want to test that workflow on WMHub after review, start with Seedance 2.0 and treat it like a reference-led video workspace, not a blank-prompt toy.

Quick Answer: How to Use Seedance 2.0 Prompts Well

Use this mental model first:

• Pick the right entry point before writing the prompt. The handbook says Seedance 2.0 supports a first/last frame path and an all-purpose reference path, and they are not interchangeable.
• Upload only the assets that should truly control the clip. The handbook allows a lot of inputs, but stronger prompting usually comes from clearer selection, not maximum file count.
• Tell the model what each file is for with @asset references. Do not leave the job of each image, video, or audio file implicit.
• Use video and audio to solve timing, motion, and rhythm problems that text alone handles poorly.
• When a clip is close to correct, think in terms of extension or directed edits instead of restarting from zero.

That is the core Seedance 2.0 workflow in one paragraph: assign roles, then describe how those roles should work together.

The 4 Seedance 2.0 Prompt Tests in This Article

This article uses three handbook-based examples plus one storyboard-style prompt example to make the workflow concrete:

• a product-showcase test for commercial sequencing
• a camera-movement test for motion control
• a continuity test for one-take scene design
• a storyboard test for scene blocking and implied camera logic

That structure is intentional. Instead of offering a generic list of Seedance 2.0 prompt tips, it shows what different multimodal prompt jobs actually look like in practice.

What the Handbook Says Seedance 2.0 Supports

The reference handbook frames Seedance 2.0 as a multimodal workflow rather than a text-only generator. In the current handbook:

• Image input supports up to 9 files, with a per-file size limit below 30 MB.
• Video input supports up to 3 files, with a total source duration between 2 and 15 seconds and a per-file size limit below 50 MB.
• Audio input supports up to 3 files, with a total duration up to 15 seconds and a per-file size limit below 15 MB.
• Text input is natural language.
• Generation length can be chosen from 4 to 15 seconds.
• The handbook also highlights built-in sound effects or music output.
• Mixed input is capped at 12 files total across modalities.

Those limits matter because they push you toward prioritization. Seedance 2.0 is not asking you to upload everything you have. It is asking you to decide which few assets should control subject identity, material detail, motion grammar, sound, and pacing.

Start With the Right Entry Point

The handbook makes one workflow distinction very clear:

• If you only have a first frame plus a text prompt, use the first/last frame path.
• If you want to combine images, videos, audio, and text, use the all-purpose reference path.

That sounds obvious, but it changes how you write. In a first-frame workflow, the prompt carries more of the scene logic. In an all-purpose reference workflow, the prompt becomes more like an instruction layer on top of existing assets.

This is why a good Seedance 2.0 prompt often looks more like direction than description. Instead of re-describing what the uploaded file already shows, you explain what should be borrowed, what should be preserved, and what should change.

Prompt by Assignment, Not by Decoration

The handbook's @asset syntax is the real control surface.

That syntax lets you assign jobs directly inside the prompt:

• @image1 can be the first frame.
• @video1 can provide camera language.
• @audio1 can provide music or timing cues.
• Another image can anchor texture, subject identity, or a specific prop.

That is a better fit for Seedance 2.0 than writing a paragraph full of adjectives and hoping the model guesses what each uploaded file is supposed to do.

The handbook even gives special-use patterns that follow this logic:

• "Use @image1 as the first frame and reference @video1 for fight motion."
• "Extend @video1 by 5 seconds," with the note that generation length should match the added portion, not the original clip.
• "Insert a scene between @video1 and @video2."
• If no separate audio file exists, reference the sound from the source video.

The consistent pattern is that Seedance 2.0 behaves best when every asset has a stated function.

Seedance 2.0 Prompt Example 1: Product Detail and Commercial Realism

One of the strongest commercial patterns in the handbook is that Seedance 2.0 can be prompted like a short storyboard, not just a static product beauty shot.

That matters because product videos usually fail in two places: the model loses the brand details, or it never develops a clear sequence for feature reveal, styling use case, and end card.

The chéri magnetic bow example solves that by giving the model a beat-by-beat ad structure. It opens with a four-variant flash cut, moves into a clasp close-up, shifts into lifestyle styling shots, and ends with a clean brand lineup. Instead of over-explaining the product in one block, the prompt turns the clip into a sequence of commercial beats.

Prompt: 0-2s: Use a rapid four-panel flash cut to introduce the red, pink, purple, and leopard-print bow variants one after another, with close-ups of the satin sheen and the "chéri" brand mark. Voice-over: "Use the Chéri magnetic ribbon to create endless beauty!" 3-6s: Show a close-up of the silver magnetic clasp snapping shut with a click, then gently pulling apart, highlighting the smooth texture and convenience. Voice-over: "Fasten it in just one second and complete the perfect style!" 7-12s: Quickly switch across styling scenes: the burgundy version clipped to a coat collar for a strong commuter mood; the pink version tied to a ponytail for a sweet street look; the purple version attached to a bag strap for a niche luxury feel; the leopard-print version worn on a blazer collar for a bold statement. Voice-over: "From coats to bags to hair accessories, create a versatile and distinctive style!" 13-15s: Display the four bow variants side by side, followed by the brand line: "chéri, bringing you instant beauty!"

Why this matters: the prompt is not asking for generic product glamour. It is building a short-form ad structure with a product intro, a feature proof shot, a styling montage, and a branded finish.

Use this as a Seedance 2.0 product video prompt pattern when the real job is to keep brand identity and selling points stable across several fast ad beats.

Why this Seedance 2.0 prompt example works:

• the sequence is time-coded, so the model is given a commercial rhythm instead of one generic scene
• the clasp close-up isolates the product's utility claim instead of burying it in prose
• the styling montage expands use cases without abandoning the hero product
• the ending brand lineup gives the clip a clear final frame instead of a vague fade-out

Seedance 2.0 Prompt Example 2: Motion Control and Camera Movement

Another major upgrade in the handbook is the ability to use video as motion language rather than as literal content.

That is a much stronger way to prompt complex shots. Instead of trying to describe a push-in, a rotation, a reveal, and a spatial transformation in one dense paragraph, you can let the reference video teach the model how the camera should behave.

The tablet example is a clean version of that workflow. The subject is fixed by an image. The motion logic comes from a video reference. The prompt then adds the transformation that should happen inside the new generated scene.

Prompt: Use the tablet in @image1 as the subject. Reference the camera movement from @video1. Push in to a close-up of the screen, then rotate the camera so the tablet flips and reveals its full form. The data flow on the screen keeps changing, and the surrounding environment gradually transforms into a sci-fi data space.

This is a useful Seedance 2.0 prompting pattern whenever the hard problem is not "what is in the frame?" but "how should the shot move?"

If you are specifically looking for Seedance 2.0 motion control prompts or Seedance 2.0 camera movement examples, this is one of the clearest patterns in the handbook.

Why this Seedance 2.0 prompt example works:

• the image locks the subject, so the prompt does not waste tokens re-describing it
• the reference video supplies movement grammar that text usually handles poorly
• the text prompt focuses on the new transformation and scene evolution
• the result is more controllable because identity, motion, and environment change are separated

Seedance 2.0 Prompt Example 3: Continuity and One-Take Scene Design

The handbook also makes a strong case for using multiple stills to build a single flowing shot.

That matters because "one-take" prompting often fails when the model has to invent too many transitions at once. Seedance 2.0 gives you a better chance when you anchor key beats with separate images and then describe how the camera should pass through them.

The spy-thriller example is useful because it is easy to read structurally:

• one image anchors the opening crowd shot and the red-coated agent,
• one image anchors the corner architecture,
• one image anchors the masked girl,
• one image anchors the mansion endpoint.

The prompt then tells the model how to travel through those elements as one continuous movement.

Prompt: Use a spy-thriller style. Take @image1 as the opening frame. Follow a female agent in a red trench coat from the front as she walks forward in a wide tracking shot, with passersby repeatedly blocking the view. When she reaches a corner, reference the corner building in @image2. Hold the camera as the woman in red exits the frame and disappears around the corner. A masked girl is hiding at the corner, glaring at her viciously. Use @image3 only as the character reference for the masked girl, who remains standing at the corner. Then pan forward toward the woman in red as she enters a mansion and disappears. Reference the mansion from @image4. Do not cut at any point; the entire sequence must stay as one continuous take.

This is a better prompting pattern than trying to describe every micro-transition from scratch. You are giving the model visual anchors for each beat in the shot.

This is also one of the better Seedance 2.0 continuity prompt patterns when you want the model to preserve scene logic across several connected visual beats.

Why this Seedance 2.0 prompt example works:

• each still image owns a different continuity risk: opening frame, corner reveal, second character, and destination
• the crowd occlusion gives the model a natural way to hide transitions without breaking the one-take illusion
• the prompt blocks the action like a live-action tracking shot instead of describing disconnected frames
• the explicit "do not cut" instruction narrows the edit logic and keeps the sequence readable

Seedance 2.0 Prompt Example 4: Storyboarding and Implied Camera Logic

Not every strong Seedance 2.0 prompt needs to micromanage the camera.

Some prompts work because they are blocked like a scene, not because they explain every lens move. If the sequence logic is clear enough, the model can often infer a usable combination of wide shots, push-ins, reaction emphasis, and hard cuts from the narrative structure itself.

The Avengers example is useful for that reason. It sets a big battle context, introduces a tonal reversal when Thanos apologizes, then uses one line from Spider-Man to snap the whole scene back into action. What matters is not just the joke. It is that the prompt is laid out as a sequence of visual beats with clear character focus and escalation.

Prompt: Avenger's Endgame during the big fight scene, but Thanos stops everything and tells all the superheroes that he's sorry. All the superheroes immediately accept this and start to walk away, but then Spiderman says, "Oh hell no, he killed like a bajillion people!" And so they all rush back and kick him while he's down.

This is a good example of storyboarding in action. The opening battlefield setup, the emotional beat on Thanos, the shift in group behavior, and the final snap back into chaotic action all give the model enough structure to suggest its own shot logic.

In practice, that often leads to camera decisions that feel more coherent than over-written prompts. A wide shot at the beginning, a push toward Thanos, a character reaction beat, and a hard shift to Spider-Man all make intuitive sense without having to be spelled out line by line.

Use this as a Seedance 2.0 storyboard prompt pattern when your real goal is scene progression, tone change, and character blocking rather than strict reference matching.

Why this Seedance 2.0 prompt example works:

• the prompt is structured as a sequence of escalating story beats, not one flat description
• each turn in the scene changes character intent, which naturally produces new framing choices
• the model has enough narrative structure to infer camera emphasis without being over-directed
• the result can feel more cinematic because the scene logic is doing part of the directing work

Seedance 2.0 Prompt Tips for More Realistic and Controlled Results

The handbook is most valuable when you read it as a list of failure-prevention rules. These are also the most practical Seedance 2.0 prompt tips if your goal is more realistic, more stable output.

1. Uploading too many weak references

The mixed-input cap is generous, but that does not mean you should fill it casually. If three files already define subject, motion, and rhythm clearly, adding more low-signal material can make the instruction layer noisier.

2. Leaving reference roles ambiguous

If you upload multiple assets without stating who controls first frame, material detail, movement, or sound, you are asking the model to guess your hierarchy.

3. Using text to solve motion problems that video solves better

The handbook repeatedly suggests using reference video when camera language, choreography, or complex action timing matters. That is a clue. If motion is the hard part, show motion.

4. Forgetting how extension length works

The handbook's extension note is easy to miss: if you ask to extend a video by 5 seconds, the selected generation duration should match the added section, not the original clip length.

5. Ignoring the realistic-face restriction

The handbook explicitly warns that realistic human face material is not currently supported for uploads. If a workflow depends on real-person source images or videos, that is not a minor footnote. It affects whether the workflow is feasible at all.

A Practical Seedance 2.0 Prompt Formula

If you want one reusable formula from this guide, use this:

1. Decide what the shot actually depends on.
2. Choose the smallest set of references that control those dependencies.
3. Assign each file a role with @asset syntax.
4. Use the text prompt to describe interaction between those roles, not to repeat what the files already show.
5. If the result is close, iterate by extending or editing instead of rebuilding the whole shot.

That is the pattern behind most of the handbook's best examples. The prompt is not a poem. It is a control layer on top of selected media.

Try Seedance 2.0 on WMHub

FAQ

How many files can Seedance 2.0 combine in one workflow?

According to the handbook, the current mixed-input ceiling is 12 files total across modalities.

When should you use the all-purpose reference path?

Use it when the job depends on mixing images, videos, audio, and text together. The handbook treats it as the correct entry point for multimodal reference workflows.

What makes a Seedance 2.0 prompt stronger: more descriptive writing or clearer asset roles?

The handbook points toward clearer asset roles. Better prompting here usually comes from better assignment, not denser prose.

What kind of Seedance 2.0 prompt example is best for motion control?

The strongest motion-control examples in the handbook use a still image for subject identity and a reference video for camera grammar. That is usually more reliable than trying to describe a complicated move entirely in text.

How do you get more realistic Seedance 2.0 results?

The handbook points toward narrower role assignment: fewer but stronger references, explicit @asset jobs, and a prompt that describes interaction and progression instead of repeating visual details already visible in the source files.

Can you upload realistic human face materials?

The handbook says no. It explicitly warns that realistic real-human face materials are currently blocked for both images and videos.

Final Take

The most useful way to think about a Seedance 2.0 prompt is this: you are not just describing a video. You are assigning control.

That is why the handbook spends so much time on references, @asset notation, extension logic, and concrete examples. Seedance 2.0 works best when each modality has a job and the text prompt explains how those jobs fit together.

If you only keep one rule from this guide, keep this one: write less like a copywriter and more like a director naming what each asset is supposed to do.