How to Prompt Seedance 2.5: A Guide for AI Video Creators

Prompt less like a writer. Direct more like a filmmaker.

How to Prompt Seedance 2.5: A Guide for AI Video Creators

Most people prompt Seedance 2.5 like they’d prompt an image model: one description aimed at a fixed number of seconds. In fact, it responds better when you direct rather than describe, specifying timed beats, assigning roles to reference inputs, coordinating audio, and defining what should be consistent.

That distinction explains why many generations fall short. The problem isn’t always what the prompt describes, but what it leaves ambiguous: when an action should happen, which reference controls which element, how the camera should behave, or what must stay consistent between cuts.

This guide breaks that approach into a practical system you can reuse. You’ll find a prompt formula for structuring scenes, 15 techniques organized around common generation problems, templates for different use cases, a developer parameter, and a comparison with Veo 3.1, Kling 3.0, and Sora 2.

Table of Contents

  • What is Seedance 2.5?
  • Seedance 2.5 Prompt Formula
  • 10 Seedance 2.5 Prompting Tips for Better AI Videos
  • Seedance 2.5 Prompt Templates by Use Case

What is Seedance 2.5?

Seedance 2.5 is ByteDance’s AI video generator for creating multi-shot videos with synchronized audio and precise reference control. Released in July 2026, it expands on Seedance 2.0 with longer generations, more reference inputs, and stronger consistency between shots.

The biggest new Seedance 2.5 features are:

  • Up to 30-second AI videos in a single generation
  • Native synchronized audio for dialogue, ambience, music, and sound effects
  • Up to 50 reference assets — 30 images, 10 videos, and 10 audio clips
  • Multi-shot continuity to keep AI characters, locations, style, and sound consistent between cuts
  • Reference-based control over characters, objects, motion, camera movement, composition, lighting, and voices
  • Video extension and editing for building longer, more controlled sequences

That difference also changes how you should write video prompts. Instead of packing visual details into one descriptive paragraph, effective prompts specify what happens, when it happens, which reference image controls what element, and what needs to remain consistent.

SEEDANCE / 2.5
SPECS_01
Maximum single-pass duration
30 SEC
00:00 → 00:30
0s 10s 20s 30s
Reference inputs 50 MAX
SELECT A TYPE TO HIGHLIGHT
AUDIO CAPABILITIES

Synchronized dialogue/voices, ambience, music, and sound effects.

REFERENCE CONTROL

Characters, scenes, props, style, motion, camera movement, composition, lighting, voices, and more.

EDITING

Edit audio and video precisely at specific timestamps.

Seedance 2.5 Prompt Formula

The best Seedance 2.5 prompts give the model clear direction about what happens, when it happens, how the camera moves, which references to follow, and what should stay consistent. A practical Seedance 2.5 prompt formula is:

Format → Subject + Action → Reference Roles → Timeline → Camera → Continuity → Audio → Constraints

You don't need all eight elements in every prompt.

For simple text-to-video prompts, Subject + Action may be enough. For longer, multi-shot videos, add the sections you need for more control.

SEEDANCE / PROMPT ANATOMY
02

Build Your Prompt

Click any component to inspect what it controls.

STEP 02

Subject + Action

CORE

Identify who or what is in the scene, then give them a clear, concrete action to perform.

EXAMPLE

A barista pours steamed milk into a ceramic cup, forming a rosette.

Short vs. Detailed Seedance 2.5 Prompts

The best Seedance 2.5 prompt length depends on how much control the scene needs: a simple shot can work with a sentence, while a multi-shot video with references, camera changes, and audio benefits from a structured prompt.

Here’s the same video prompted both ways:

A barista pours steamed milk into a ceramic cup, forming a rosette, then slides the finished latte across the counter toward the customer. Warm morning light, cinematic realism, quiet café ambience.

This prompt establishes the subject, action, style, and basic audio. For a simple generation, that may be all you need.

FORMAT: 16:9, 20 seconds, cinematic realism, warm morning light, no text overlay.

SUBJECT + ACTION: A barista stands behind an espresso machine and pours steamed milk into a ceramic cup, forming a rosette before sliding the finished latte across the counter.

REFERENCE ROLES: @Image1 controls the barista's face and apron only. Do not copy the background from @Image1.

TIMELINE: 0–7s: Barista pours the milk and the rosette gradually forms. 7–14s: Barista finishes the pour and places the pitcher down. 14–20s: Barista slides the latte across the counter and a customer's hand reaches into frame.

CAMERA: Medium close-up during the pour. Begin a slow push-in as the latte moves across the counter.

CONTINUITY: Keep the same barista, apron, cup, and latte art throughout. The rosette should not change after the pour is complete.

AUDIO: Espresso machine hiss, milk steaming, ceramic cup touching the counter, soft café chatter. No music.

CONSTRAINTS: No warped hands, changing latte art, floating objects, camera shake, text, or subtitles.

A useful rule is to start short and add when you need control. If the first generation gets something wrong, identify the failure and add the corresponding part.

For example, if the character changes appearance, add continuity instructions. If events happen in the wrong order, add a timeline. If an uploaded character reference also changes your background, define the reference's role more narrowly.

10 Seedance 2.5 Prompting Tips for Better AI Videos

Once you have the basic Seedance 2.5 prompt formula, the next step is knowing what to change when a generation doesn't behave as expected.

The techniques below address common problems with timing, camera movement, reference images, character consistency, lighting, audio, and multi-shot videos.

1. Use Timestamps to Control Longer Videos

A 20 or 30 second video usually contains several actions, but a prompt doesn't tell Seedance 2.5 how those actions should be distributed over time. For more control, convert the narrative into timestamped beats.

For example, instead of:

A woman notices a letter beside her coffee, picks it up, reads it, and looks relieved.

Try:

0–6s: A woman sits at a kitchen table in early morning light and notices an unopened letter beside her coffee.
6–14s: She hesitates, picks up the letter, and opens it.
14–20s: She reads silently. Her expression gradually changes from concern to relief.

Don’t script every second, though. If you try to break a short window into too many micro-events, Seedance 2.5 has to guess the in-between motion, which can lead to jittery or fragmented results.

Instead, group related movements into a coherent action that has a clear beginning, development, and completion.

2. Tie Camera Movement to an Action

Camera prompts work better when the movement is caused by something happening in the scene, rather than being an arbitrary instruction. When camera movements are defined in isolation, the model has to guess when they should happen.

For example, you could write:

A chef flips food from a pan. Dolly in, orbit around the chef, whip right, then crane upward

From this prompt, it's unclear when the camera movement should happen, or what they should be focused on. If you tie it to an event, the movement becomes much more intentional.

For example, you could instead write: 

The chef flips the pan. As the food leaves the pan, the camera orbits the chef's face before whip-pans right to follow it through the air.

This structure is much more precise. Now the movement has three useful pieces of information:

Trigger: The food leaves the pan
Move: Orbit before whip pan right
Target: The food in mid-air

3. Write Complex Motion as Cause → Effect → Aftermath

AI video prompts often try to describe a full sequence of physical motion in a single sentence, even though that sentence actually contains multiple distinct stages of action that happen over time. For example:

A speeding motorcycle skids into a fruit stand, oranges spill across the wet street and the rider jumps off before the bike crashes into a parked car.

A human automatically understands the causal sequence. A video model still has to resolve which state comes first and how one state becomes the next. Make that sequence explicit:

The motorcycle enters the wet intersection. The bike slides sideways toward the fruit stand. The front wheel strikes the fruit stand, causing oranges to spill onto the pavement. The loose fruit rolls across the wet street as the motorcycle continues forward. The rider releases the handlebars and jumps clear to the left. The empty motorcycle slides several meters farther before its front end collides with the side of a parked car.

This is especially useful when the intermediate state matters visually.

If you only describe the starting point and final result, Seedance 2.5 has more freedom to invent the transition between them.

4. Re-Anchor Identity at Continuity Risk Points

A reference establishes what a character should look like, but continuity becomes harder whenever the model has to reconstruct information.

Occlusion is an obvious example. A character exits the frame, turns away from camera, or becomes obscured by another subject. When that character becomes fully visible again, Seedance has to render the identity consistently across a visual discontinuity.

At important re-entry points, restate a small set of identity anchors:

The dog runs behind the fence. When it re-emerges on the right, it is the same golden retriever with the red collar and muddy paws.

Notice that you don't need to repeat an entire character biography. Choose two or three visually distinctive anchors that are easy to verify. For longer sequences, place those anchors in your continuity section as well:

CONTINUITY: Same woman throughout: short black bob, green wool coat, silver hoop earrings. Do not change hairstyle, coat color, or earrings between shots.

5. Give Every Seedance 2.5 Reference a Specific Job

One of Seedance 2.5's strengths is its large reference budget, but reference count and reference control are not the same thing.

An uploaded image contains multiple signals simultaneously: character identity, environment, color palette, composition, style, etc . If you only say “use @Image1,” you leave the model to determine which of those properties matter.

Instead, assign references by role:

@Image1 defines the character's face and hairstyle only.
@Image2 defines her green coat and silver earrings only.
@Video1 provides the camera motion only; do not copy its subject or location.

Exclusions become useful when a reference contains a strong visual property you specifically don't want:

@Image1 defines the serum bottle, label, and cap only. Do not copy its white studio background or lighting.

This becomes increasingly important if you've used multiple references. If two images both feature different environments, for example, you've introduced a conflict that Seedance has to resolve.

6. Track State Changes, Not Just Character Identity

Character consistency and state continuity are different problems. A character can remain recognizably the same person while their torn sleeve suddenly repairs itself, their wet hair becomes dry, or a half-empty glass becomes full again.

If something changes during the story and that change should persist, encode it as a continuity rule:

CONTINUITY: Soot accumulates and never resets. After the first explosion, grey ash remains on her face and coat. After the second explosion, add a scorch mark to her left sleeve. Preserve both changes in all subsequent shots.

Tip: Anything the audience could use to infer “this happened before that” belongs in continuity: dirt, damage, object position, wet clothing, open doors, broken glass, and similar state changes.

7. Describe Motivated Lighting Instead of Stacking Adjectives

Lighting works best in Seedance 2.5 when it is physically motivated rather than stylistically labeled. Instead of describing how the shot should feel, describe where the light comes from, how it behaves in the space, and what it does to the subject.

Consider:

Beautiful cinematic dramatic lighting, sunlit atmosphere.

Those words describe the desired impression of the shot, but very little about the physical lighting setup.

Compare it with:

Warm afternoon sunlight enters through the window on camera left, creating a warm edge on her face. Cool ambient light spills from the hallway on camera right.

Now the prompt establishes source, direction, color relationship, and effect on the subject.

A useful lighting structure is:

Source → Direction → Quality/color → Effect

Named aesthetics such as golden hour, blue hour, or chiaroscuro can still be useful, but they work best after the physical lighting setup is clear.

8. Chain Generations Using the Previous Clip's Last Frame

Longer sequences introduce a new continuity problem: the next generation needs to begin from the exact visual state where the previous clip ended. A practical workflow is:

Generate Clip 1 → capture its final frame → use that frame as a reference for Clip 2 → describe only what happens next

This works because the last frame defines everything that is already true in the scene. For example, suppose Clip 1 ends immediately after a character closes a door. A weak continuation would be:

The character closes the door and walks down the hallway.

This is problematic because it reintroduces an action that has already completed. The model may attempt to regenerate the door-closing motion, causing duplication, jitter, or inconsistent timing.

A stronger continuation instead treats the previous frame as fixed:

Use @Image1 as the exact opening state. The door is already closed. Do not repeat the door-closing action. The character turns away from the closed door and begins walking down the hallway.

9. Prompt Audio as Separate Layers

When generating audio with video in Seedance, think like a sound designer and assign every sound a clear priority and role. For example, this is a vague audio prompt:

Cinematic scene with dialogue and dramatic sound.

This doesn’t tell the model what should be heard first, what should sit in the background, or what should be synchronized. Instead, break the audio into functional layers: 

Dialogue → SFX → Ambience → Music

DIALOGUE: The woman looks at him and says quietly, “You actually came.”
SFX: The apartment door clicks shut behind her.
AMBIENCE: Light rain against the windows, faint traffic six floors below.
MUSIC: None.

You can also improve realism by tying sound directly to physical actions:

As the ceramic cup touches the counter, a single sharp ceramic clink is heard.

10. Design Dialogue as Performance, Not Just Text

A strong dialogue prompt always defines three core elements: who is speaking, what they say, how they say it.

For example:

The woman whispers, “Don't turn around.”

This already establishes speaker, line, and a basic delivery style. But for Seedance 2.5, you often get stronger results when you explicitly shape the performance:

The woman whispers, tense and barely audible, “Don't turn around,” glancing nervously over her shoulder.

Now the model understands not just the audio delivery, but also the physical behavior that accompanies the speech. You can extend this further:

The woman freezes mid-step, her voice dropping to a strained whisper, “Don't turn around,” as her eyes lock on something behind the viewer.

Another common mistake is overloading short clips with too much dialogue. If a shot only lasts a few seconds, multiple lines of dialogue will either overlap unnaturally, interrupt motion continuity, or feel rushed and unclear.

Instead of stacking lines, prioritize one clear spoken moment per action beat:

The man steps forward and raises his hand. “Wait.”
He pauses, lowering his voice. “You don’t understand.”
The woman turns away without responding.

Seedance 2.5 Prompt Templates by Use Case

Below are Seedance 2.5 prompt templates for common AI video workflows.

Copy the structure, replace the creative details, and remove any instructions your scene doesn't need.

Product Video Prompt

Best For: Product ads, e-commerce videos, hero shots, beauty products, unboxings, and macro detail shots.

Product prompts need to solve two problems at once: preserve the product exactly while allowing everything around it to move. Treat the product reference as locked source material, then direct lighting, movement, and environment separately.

Product Video Example Prompt

FORMAT: 16:9, 30 seconds, premium skincare commercial, photorealistic product photography.

REFERENCE: @Image1 defines the serum bottle, label typography, logo placement, amber glass, pipette, and black cap exactly. Preserve all product proportions and packaging details. Do not copy the white studio background from @Image1. @Video1 controls pacing and camera movement only; do not copy its product, colors, or environment.

SCENE: The serum bottle stands upright on pale veined marble beside a shallow pool of water. Warm diffused sunlight enters from camera left. A soft neutral fill illuminates the label without creating glare.

0–8s: Begin with a medium-wide locked composition. Slowly push toward the bottle as moving sunlight creates subtle reflections through the amber glass.

8–18s: A clean hand enters from camera right, grips the bottle naturally around its lower half, and rotates it approximately 30 degrees toward camera. Keep the label readable throughout the movement.

18–25s: Cut to a macro close-up. The hand unscrews the cap and lifts the glass pipette. One drop of transparent serum forms at the tip and falls onto the back of the opposite hand.

25–30s: Return to the bottle standing upright. Slow push-in toward the label. Hold the final composition for the last two seconds.

CONTINUITY: Bottle shape, cap, label, logo, typography, liquid level, and amber-glass color remain identical in every shot.

AUDIO: Soft cap twist, subtle glass contact against marble, single serum-drop sound, quiet room tone. No dialogue. No music.

CONSTRAINTS: Do not redesign, distort, rotate, rewrite, or replace the label. No extra bottles, malformed hands, floating objects, text overlays, subtitles, or watermark.

UGC / Talking-Head prompt

Best for: UGC ads, creator-style videos, testimonials, social media videos, and direct-to-camera dialogue.

A convincing UGC prompt shouldn't just describe a person standing in front of a camera. Define the performance: eye contact, pauses, gestures, delivery, framing, and the imperfections that make the footage feel casually recorded.

UGC / Talking-Head Example Prompt

FORMAT: 9:16 vertical, 20 seconds, realistic smartphone UGC video, natural exposure, no cinematic color grade.

SUBJECT: A woman in her late twenties with shoulder-length curly red hair and a faded denim jacket stands in a bright home kitchen. White subway tile behind her, warm wooden cabinets, morning daylight from a window on camera right.

CAMERA: Medium close-up at eye level, approximately arm's-length smartphone framing. Mostly static handheld camera with subtle natural movement. No cinematic dolly or artificial camera orbit.

0–5s: She looks directly into the lens while holding the product beside her chest. She raises one eyebrow slightly, glances down at the product, then back to camera.

DIALOGUE: With a slightly skeptical, conversational delivery, she says, “Okay, I genuinely wasn't expecting this to work.”

5–13s: She turns the product toward camera and gestures to it with her free hand.

DIALOGUE: Her tone becomes more animated: “But I've used it every morning this week, and this is the first one I've actually kept using.”

13–20s: She lowers the product slightly, gives a small surprised laugh, and looks directly into the lens.

DIALOGUE: “So... yeah. I'm keeping it.”

AUDIO: Natural close smartphone microphone sound. Faint refrigerator hum and distant street ambience. No music.

CONSTRAINTS: No subtitles, captions, logo overlays, beauty-filter skin, exaggerated influencer gestures, dramatic camera movement, or studio lighting.

Anime Prompt

Best for: Anime videos, 2D animation, cel-shaded character scenes, manga-inspired sequences, and stylized character consistency.

The main challenge with anime prompts is keeping the generation visually 2D while characters and cameras move. Define the character reference separately from the animation language, then preserve linework and shading.

Anime Example Prompt

FORMAT: 16:9, 15 seconds, hand-drawn 2D anime aesthetic.

REFERENCE: @Image1 defines the character exactly: face shape, spiky black hair, red scarf, navy school jacket, proportions, line weight, and flat cel-shading. The entire video must preserve @Image1's 2D illustration style.

SCENE: Rooftop of a Japanese high school at sunset. Chain-link fence, distant city skyline, orange sky fading into violet.

0–5s: The young man stands with his back partly toward camera as wind moves his red scarf and jacket hem. He hears something behind him and freezes.

5–10s: He turns sharply toward camera in one decisive movement. As his face becomes visible, the camera performs a fast push-in from medium shot to close-up.

10–15s: His eyes widen. The scarf continues moving in the wind while the rest of his body becomes still. Hold on his expression as the sunset flickers across the background.

STYLE CONTINUITY: Preserve clean black outlines, flat two-tone cel shading, simplified anime facial features, hand-drawn hair shapes, and the same character proportions throughout.

AUDIO: Strong rooftop wind, distant city traffic, fabric flutter. One low dramatic impact sound as he turns. No dialogue.

CONSTRAINTS: No 3D rendering, realistic skin pores, volumetric CGI hair, live-action texture, changing line thickness, morphing facial proportions, or photorealism.

Fashion Video Prompt

Best For: Fashion campaigns, apparel ads, runway videos, lookbooks, and clothing-in-motion shots.

Fashion prompting needs to preserve both model identity and garment construction while giving the fabric enough movement to demonstrate its shape.

Fashion Video Example Prompt:

FORMAT: 9:16, 20 seconds, luxury fashion campaign, editorial realism.

REFERENCE: @Image1 defines the model's face, hairstyle, height, and body proportions only. @Image2 defines the camel-tan trench coat exactly: cut, lapels, belt, buttons, sleeve length, fabric, and color. @Image3 defines the sunlit concrete studio environment only.

0–7s: Full-body locked frontal shot. The model walks slowly toward camera. The trench coat moves naturally around her legs with each step.

7–14s: She stops on her mark, shifts her weight onto her left leg, and makes a controlled half-turn to her right. The coat hem flares outward from the rotation and then settles naturally.

14–20s: As the fabric settles, perform a slow push-in from full-body to waist-up framing. She looks slightly past camera rather than directly into the lens.

LIGHTING: Hard late-afternoon sunlight enters from camera left, producing long defined shadows across the concrete floor. Soft neutral fill preserves detail on the shadow side of the coat.

CONTINUITY: Same model, hairstyle, coat construction, belt position, buttons, footwear, and studio throughout.

AUDIO: Footsteps on concrete, subtle fabric movement, quiet studio ambience. No dialogue.

CONSTRAINTS: Do not change the coat length, color, buttons, lapels, or belt. No duplicated limbs, warped hands, runway audience, text overlay, or watermark.

Action Scene Prompt

Best For: Chase scenes, fight sequences, running shots, stunts, and other fast-motion AI videos.

For action, resist the temptation to describe everything as happening simultaneously. Build the sequence around cause, reaction, and camera motivation.

Action Scene Example Prompt:

FORMAT: 16:9, 25 seconds, grounded cyberpunk action thriller, realistic physics.

SUBJECT: A hooded runner in a soaked black jacket sprints through a narrow neon-lit alley at night. Rain falls heavily. Pink and cyan signage reflects across puddles.

0–7s: Handheld tracking shot from behind, matching the runner's speed. He splashes through shallow puddles while looking briefly over his left shoulder.

7–14s: A delivery drone drops into the alley ahead and blocks his path. He sees it, plants his right foot, and changes direction toward the left wall.

14–19s: He steps onto a low crate and pushes upward. His left foot contacts the wall. He uses the momentum to vault sideways over the drone as it passes beneath him.

CAMERA: As his feet leave the ground, move from rear tracking into a low side angle that follows the arc of the jump. Do not orbit around him.

19–25s: He lands with both feet on the wet pavement, slides forward approximately one meter, regains his balance, and immediately continues running. The camera drops behind him again and resumes the tracking shot.

CONTINUITY: Same black jacket, hood, shoes, body proportions, rain level, alley layout, and drone throughout. His jacket becomes progressively wetter and remains wet.

AUDIO: Heavy rain, running footsteps, splashes, drone motor, fabric movement, sharp impact as his shoes land. No dialogue.

CONSTRAINTS: Natural human anatomy and momentum. No morphing limbs, impossible mid-air direction changes, teleporting drone, excessive camera shake, slow motion, or text.

POV Prompt

Best For: First-person videos, immersive experiences, game-like sequences, historical scenes, and action POV.

A good POV video prompt needs more than the phrase “first person.” Establish what parts of the body can enter frame, where the camera physically exists, and make sure the camera never accidentally turns into an external third-person shot.

POV Example Prompt

FORMAT: 16:9, 20 seconds, continuous first-person POV, grounded medieval realism.

POV RULE: Camera remains at the knight's eye level for the entire video. Never show the knight from an external angle. Only his armored forearms, gloved hands, weapon, horse's ears, and front of the saddle may enter frame.

SCENE: A muddy medieval road outside a stone fortress during an overcast battle. The knight rides a dark brown horse while holding a heavy war hammer in his right hand and the reins in his left.

0–7s: The horse gallops forward. Camera movement follows the natural vertical rhythm of horseback riding. The knight's left hand tightens the reins as another mounted soldier approaches from ahead.

7–14s: The approaching rider passes on camera right. As the opponent enters striking distance, the knight raises the hammer with his right arm and swings once from right to left.

14–20s: After the swing completes, the hammer returns into the lower-right edge of frame. The horse continues forward toward the fortress gate while the knight steadies the reins.

AUDIO: Hooves striking wet ground, armor movement, horse breathing, distant battle noise, wind. No music.

CONSTRAINTS: First-person camera only. No external shots of the protagonist, detached hands, floating weapon, impossible arm positions, camera orbit, cuts, text, or HUD elements.

Seedance 2.5 vs. Veo 3.1, Kling 3.0, and Sora 2: How Prompting Changes

The same AI video prompt shouldn't necessarily be copied unchanged between Seedance 2.5, Veo 3.1, Kling 3.0, and Sora 2.

Each model exposes different controls and is optimized around a somewhat different generation workflow.

AI VIDEO / PROMPT GUIDE

What should you emphasize?

Model Put more prompt detail into… Prompt style to try
Seedance 2.5
Timelines, reference roles, continuity, multi-shot structure, audio
Structured shooting brief
Veo 3.1
Scene composition, cinematography, atmosphere, dialogue, audio
Rich audiovisual shot description
Kling 3.0
Motion, staging, camera path, spatial progression
Choreographed shot instructions
Sora 2
Physical behavior, causal motion, environmental interaction
Scene simulation description

Frequently Asked Questions

How do you write a good Seedance 2.5 prompt?

A good Seedance 2.5 prompt clearly describes the subject, action, timing, camera behavior, references, continuity, and audio that matter to the scene. Start with Subject + Action, then add a timeline for sequences, reference roles when using uploaded assets, camera instructions for specific framing or movement, and continuity rules for details that must remain consistent.

What is the best Seedance 2.5 prompt formula?

A practical Seedance 2.5 prompt formula is:

Format → Subject + Action → Reference Roles → Timeline → Camera → Continuity → Audio → Constraints

Can Seedance 2.5 generate 30-second videos?

Yes. Seedance 2.5 supports video generations up to 30 seconds

How do you use reference images in Seedance 2.5?

Tell Seedance 2.5 exactly what each reference image should control rather than simply asking it to “use” the image.

For example:

@Image1 defines the character's face and hairstyle only. Do not copy the clothing, background, lighting, or pose.

With several assets, assign each one a separate role, such as character identity, wardrobe, product, environment, visual style, or composition. This reduces conflicts between references and gives you more precise control over the final video.

How do you keep characters consistent in Seedance 2.5?

Use a strong character reference and identify a few continuity anchors that should remain unchanged, such as hairstyle, clothing, accessories, or other distinctive features. Restate those details at continuity risk points—especially after cuts, occlusions, major camera-angle changes, or when a character leaves and re-enters the frame.

For example:

CONTINUITY: Same woman throughout: short black bob, green wool coat, silver hoop earrings. Preserve the same face, hairstyle, coat, and accessories across every shot.

For longer projects, use the same character references and continuity language across generations.

Can Seedance 2.5 generate dialogue and sound?

Yes. Seedance 2.5 supports synchronized audio-video generation, including speech and other scene audio. For more control, separate your sound prompt into Dialogue, SFX, Ambience, and Music rather than describing everything as generic “cinematic audio.”

For example:

DIALOGUE: She whispers, “Don't turn around.”
SFX: Door clicks shut.
AMBIENCE: Rain against the windows, distant traffic.
MUSIC: None.

For dialogue scenes, also describe the speaker's delivery and physical performance when those details matter.

Is Seedance 2.5 better than Veo 3.1 or Kling 3.0?

There isn't one AI video model that's best for every scene. Seedance 2.5 is particularly notable for its 30-second generation window, multimodal reference controls, synchronized audio, and multi-shot workflows, which make structured prompting especially useful.

Veo and Kling expose different strengths and workflows, so the better choice depends on whether your priority is reference control, specific cinematography, motion, audio, availability, cost, or another production requirement.