Seedance 2.0 Prompt Guide: How to Write Multimodal AI Video Prompts That Work

If you want AI video that nails camera movement and lets you reuse a real character, environment, and sound clip in the same shot, Seedance 2.0 prompts are worth learning properly. ByteDance’s Seedance is the model that pushed multimodal references into the mainstream — you can hand it an image for identity, a video for motion, and an audio file for rhythm, all in one prompt. Used well, it produces some of the most controllable AI video available right now.

The trade-off is that Seedance rewards a different prompting style than Sora or Veo. It is built around motion and reference tags, not just description. Write a Seedance prompt the way you would write a Veo prompt and you leave most of its capability untouched. This guide covers what Seedance 2.0 is good at, the prompt structure it actually responds to, copy-and-paste examples, camera and motion tips, the mistakes that wreck results, and how it stacks up against the other major models.

What Seedance 2.0 Is Actually Good At

Seedance 2.0 is ByteDance’s video generation model, available through the Dreamina platform (the rebranded Jimeng AI) and several third-party APIs. It launched in February 2026 and a few specific strengths set it apart:

Multimodal references in a single generation. This is the headline feature. You can upload up to 12 files at once — 9 images, 3 videos, and 3 audio clips — and tag them so the model knows exactly which file controls what. One image becomes your character, one video supplies the camera path, one audio clip sets the rhythm.
Native 2K resolution. Seedance 2.0 outputs up to 2048x1080 (landscape) or 1080x2048 (portrait), a step above the 1080p ceiling on most competing models and earlier Seedance versions.
Synchronized audio in one pass. Dialogue, sound effects, ambient noise, and music are generated alongside the video rather than layered in afterward.
Strong, expressive motion. Seedance treats movement as a first-class part of the prompt. It handles speed, weight, and physics well when you describe them directly.
Flexible duration and aspect ratios. Clips run from 4 to 15 seconds across 16:9, 4:3, 1:1, 3:4, and 9:16.

The practical takeaway: if your project depends on character consistency, a specific camera move you have already seen somewhere, or matching the energy of an existing track, Seedance gives you levers the text-only models do not.

The Seedance 2.0 Prompt Structure

Seedance prompts work best when they lead with motion and use a clear three-part backbone:

Subject + movement — who or what is in the frame, and how it moves.
Background + movement — what changes in the environment around the subject.
Camera + movement — how the camera frames and follows the action.

Notice that all three parts include movement. That is the core difference. Seedance is less interested in a static catalog of visual details and more interested in what is happening and how. Adverbs that define speed and force — slowly, sharply, wildly, gently — carry real weight here.

A plain text prompt following that backbone:

A lone surfer paddles hard against an incoming swell, then rises smoothly to her feet as the wave curls behind her. The wall of water rears up and crashes in slow, heavy spray. The camera tracks low along the water surface, then pushes in tight on her focused expression as she carves down the face.

Adding Reference Tags

The structure above gets a second layer once you bring in references. Seedance lets you tag uploaded files and assign each one a job:

@Image1 for identity — a character’s face, a product, a specific look.
@Video1 for motion and camera movement — the model extracts the motion path and applies your visuals to it.
@Audio1 for rhythm, voice, or atmosphere.

Order matters. The model weights tags by their position in the prompt, so put your highest-priority reference first. If the character is what must stay consistent, lead with @Image1.

Use @Image1 for the man’s appearance and place him in the office setting from @Image2. Replicate the camera movement and facial expressions from @Video1 — a slow dolly zoom on his face as he realizes the news, followed by an orbit around the desk. Match the pacing to @Audio1.

This is where Seedance pulls ahead. You are not describing a camera move from scratch and hoping the model interprets it correctly — you are pointing at a clip that already does the move and saying “like that.”

Example Seedance 2.0 Prompts

Concrete examples make the structure click. Each of these is ready to adapt.

1. Text-only, motion-forward

A black stallion gallops across an open salt flat at dawn, hooves kicking up fine white dust that hangs in the air behind it. Thin clouds drift fast across a pink sky. The camera tracks alongside at full speed, then drops back and rises into a high wide shot as the horse shrinks against the vast empty plain. Hooves thundering, wind rushing past.

2. Product loop

A pair of matte black headphones rotates slowly against a deep charcoal background, light sweeping across the metal hinges as they turn. Faint dust particles drift through the beam. Static centered frame with a slow continuous 360-degree orbit, perfect loop. Low ambient hum building into a single clean bass note.

3. Character consistency with reference

@Image1 as the chef, working in the kitchen from @Image2. She plates a dish with quick, precise movements, then looks up and smiles. Apply the handheld tracking motion from @Video1 as the camera follows her hands to her face. Kitchen ambience and the sizzle of the pan from @Audio1.

4. Motion transfer from a reference clip

@Image1 as the dancer in the empty warehouse from @Image2. Replicate the full choreography and camera tracking from @Video1 exactly — the spin, the drop, the rapid pull-back. Keep the dancer’s outfit and the warehouse lighting consistent throughout. Sync every movement to the beat in @Audio1.

5. Mood and atmosphere

Rain falls hard on a neon-lit alley at night, water sheeting off awnings and pooling on the asphalt. A figure in a long coat walks slowly away from the camera, reflections rippling beneath each step. The camera holds low and still, then drifts forward at the figure’s pace. Heavy rain, distant traffic, a low synth drone.

In each one, movement leads and the camera has a clear job. That is what Seedance is tuned for.

Camera, Style, and Motion Tips

A handful of habits separate clean Seedance output from flickering, confused output.

Lead with motion, not still details. Instead of cataloging what something looks like, describe what it does. “A flag” gives the model nothing; “a tattered flag snapping violently in gale-force wind” gives it everything.
Use one strong camera move per clip. A single dolly, orbit, or tracking shot reads cleanly. Stacking three camera moves into a 5-second clip produces motion soup.
Match your references to your text. Do not ask for “fast motion” in the text while @Video1 is a slow-motion clip. Contradictory instructions create a logic loop that shows up as flickering and warping.
Place priority references first. Tag order controls weighting. Your most important reference belongs at the front of the prompt.
Spend audio deliberately. Seedance generates synchronized sound, so name the ambient layer, any dialogue, and the music feel. Silence is also a choice — say so if you want it.
Give longer clips a progression. For anything past 5 seconds, describe a beginning, middle, and end so the model has an arc to follow rather than a single frozen idea stretched thin.

If filmmaking vocabulary is not your native language, the complete AI video prompt engineering guide breaks down the camera and lighting terms worth knowing before you write your next batch.

Common Seedance 2.0 Mistakes

These are the ones that show up over and over.

Writing negative prompts

Seedance does not use negative prompts. Telling it what not to do — “the boy can’t stay still” — confuses the model. Flip it into a positive instruction: “the boy waves his hands.” Describe the outcome you want, never the one you are trying to avoid.

Overloading static description

Pages of adjectives about texture and color, with no movement, produce a stiff, lifeless clip. Trim the static detail and spend those words on motion and camera direction instead.

Contradicting your own references

Mismatched speed, lighting, or framing between your text and your uploaded clips is the number one cause of flicker. Keep the text and the references pointing the same direction.

Cramming too many subjects

Five focal points splits the model’s attention and tanks coherence. Pick one primary subject, let the rest be background, and the whole clip holds together better.

Ignoring tag order

Dropping @Image1 halfway through a long prompt tells Seedance it is a low priority. If consistency matters, that tag goes first.

How Seedance Compares to Sora, Veo, and Kling

Each major model has a personality, and prompting style should follow it.

Seedance 2.0 is the reference-and-motion specialist. Its multimodal tagging — image for identity, video for motion, audio for rhythm — gives the most direct control over reuse and camera replication. Prompt it motion-first.
Veo 3 rewards cinematic, natural-language flow with built-in audio and excellent filmmaking-term comprehension. Layered description does well here.
Kling responds to a Scene + Camera language + Lighting + Atmosphere structure and is strong on mood.
Sora handles natural, descriptive prose and complex scenes, leaning on its world simulation rather than explicit reference tags.

The short version: reach for Seedance when you need to lock a character or copy a specific camera move, reach for Veo when you want cinematic audio-video from a written description, and reach for Kling or Sora when mood or scene complexity leads. For a deeper head-to-head, see the Sora vs Veo vs Kling comparison, and the shared prompt structure formula that adapts across all of them.

Writing Seedance Prompts Faster

The motion-first structure works, but writing a full Seedance prompt — subject movement, background movement, camera move, reference tags, audio layer — for every variation takes time. Most projects need 10 or 20 prompts, not one, and the blank page slows you down more than the actual generating does.

That is the gap LzyPrompt fills. You describe your idea in a sentence, and it expands it into multiple structured prompt variations with the motion language, camera directions, and reference-tag scaffolding that Seedance responds to. Instead of building each prompt by hand, you get a batch in seconds and pick the closest matches. You can generate your first prompt free and compare your raw idea against a fully structured Seedance prompt.

Frequently Asked Questions About Seedance 2.0 Prompts

How many reference files can a Seedance 2.0 prompt use?

Up to 12 in a single generation — 9 images, 3 videos, and 3 audio clips. Tag each one (@Image1, @Video1, @Audio1) and give it a specific job so the model knows which file controls identity, motion, or sound. Putting your most important reference first weights it higher.

Does Seedance support negative prompts?

No. Seedance does not use a negative prompt field. Instead of describing what should not happen, describe the outcome you want directly. If unwanted elements keep appearing, the fix is to be more specific about what should be in the frame rather than listing exclusions.

Why is my Seedance video flickering or warping?

The most common cause is a contradiction between your text prompt and a reference clip — for example, asking for fast motion in the text while the @Video1 reference is slow motion. Align the speed, lighting, and framing between your text and your references, and use one clear camera move per clip.

What resolution and length does Seedance 2.0 produce?

It outputs up to 2K resolution (2048x1080 landscape or 1080x2048 portrait) with clip lengths from 4 to 15 seconds, across 16:9, 4:3, 1:1, 3:4, and 9:16 aspect ratios. Longer clips benefit from a described beginning, middle, and end.

How is prompting Seedance different from prompting Veo or Sora?

Seedance leads with motion and uses reference tags for identity, camera movement, and audio. Veo and Sora lean more on cinematic written description without explicit tagging. Write Seedance prompts motion-first and assign every reference a clear role rather than relying on prose alone.

Start Creating Better Seedance Video

The thing that makes Seedance 2.0 powerful — its multimodal references and motion-first design — is also the thing that makes generic prompts fall flat. Lead with movement, give the camera one clear job, tag your references in priority order, and keep your text and your clips in agreement. Do that and the model produces video you can actually use.

Start with any of the examples above, adapt them for your project, or try the prompt generator to skip the blank page entirely. For more on AI video workflows and the models behind them, browse the LzyPrompt blog and the roundup of the best AI video generators.