What is Seedance 2.5?

Seedance 2.5 is an AI video generation model available through Vuppo. Vuppo is an independent creative platform and does not present itself as the official Seedance website.

Can Seedance 2.5 generate video from text only?

Yes. In the General workflow you can submit a text prompt without reference media, then choose duration, aspect ratio, resolution, and sound generation.

Which reference files can I use?

The current workspace accepts JPG, PNG, or WebP images, MP4 or MOV video, and MP3 or WAV audio. Seedance 2.5 supports up to 30 images, 10 videos, and 10 audio files, with 50 references total. Audio cannot be the only reference input.

How long can a Seedance 2.5 video be?

The current Vuppo controls support output from 4 to 30 seconds, adjustable in one-second steps.

Does Seedance 2.5 support 1080p or 4K?

Seedance 2.5 output on Vuppo is available at 480p, 720p, or 1080p. The current workflow does not offer 4K output.

Can it generate sound?

Yes. Sound generation is an optional setting and is enabled by default in the current workspace. This does not promise precise lip sync or a specific music result.

What changes when I add a first frame?

Adding a first frame locks the aspect ratio to Auto. An end frame can only be added when a first frame is already present.

How is Seedance 2.5 Extend different?

The Extend option uses one source video as a reference for continued generation. It should not be interpreted as a guarantee of a seamless or frame-exact continuation.

Can I use Seedance 2.5 online on Vuppo?

Yes. Open the Vuppo AI Video workspace, select Seedance 2.5, add a prompt or reference media, and generate in your browser. An account and sufficient credits are required to submit a generation.

How much does Seedance 2.5 cost?

Vuppo quotes the exact credit cost before submission. The total changes with duration, resolution, aspect ratio, generated sound, and the length of referenced video files.

Seedance 2.5 AI Video Generator Online

Create 4-30 second text-to-video and image-to-video clips in up to 1080p with first and last frames, as many as 50 multimodal references, and optional generated sound.

Create with Seedance 2.5 View example

Output duration

4-30 seconds

Resolution

Up to 1080p

Reference inputs

Up to 50 files

Generated sound

Optional

Seedance 2.5 AI video examples and prompts

Watch different motion, narrative, spatial, and reference-control examples, then copy the complete prompt structure into the Vuppo workspace.

Lonely woman market one-shot26.8s | 16:9 | one-shot seasonal narrative

A continuous tracking shot follows a lonely European woman through a crowded market while daylight, night, and all four seasons transform around her.

Prompt pattern for a similar shot

Core directive: a full 26-second one-shot narrative short, steady tracking, see [reference video 1], interwoven with smooth orbiting camera moves, see [reference video 2]. A smooth sense of forward motion. Within the single shot, day-and-night alternation and the change of the four seasons occur. The protagonist is a European woman [reference image 1], set amid a sea of people full of bustling life, highlighting an extreme sense of loneliness and cinematographic quality. Segmented camera moves and scene descriptions: 0-3s (steady back-follow): An old wooden door [reference image 2] creaks open, the camera following close behind the back of the European woman wearing [reference image 3] as she steps out. She pauses briefly at the threshold, the light and shadow of the street ahead dappled, the cries of vendors and the crowd's noise rushing at her. Her expression detached, she slowly steps forward and melts into the street. 3-6s (back-side tracking): The camera keeps following smoothly as she steps into a crowded morning market, the atmosphere referencing [reference video 3]. Both sides are packed with richly colored fruit stalls and spice shops, a troupe of street jugglers spitting fire dragons, see [reference image 4], the firelight lighting up the crowd, but she looks neither left nor right, walking through at a steady pace. 6-9s (smooth side orbit): The camera begins to orbit smoothly toward the front-side, capturing the protagonist's profile. She passes a noisy butcher's stall [reference image 5], a young mother holding a baby [reference image 6] brushing past her, the baby staring at her curiously, but she only lowers her eyes slightly to avoid the gaze, not pausing at all. 9-12s (front retreating tracking): The camera continues around to directly in front of the protagonist, tracking backward. The crowd ahead suddenly parts to both sides naturally like the parting of the sea, a huge elephant draped in ornate red cloth [reference image 7] striding steadily into frame from the right, taking up most of the image. 12-15s (gap-threading and circling back): At the moment the woman and the elephant are about to collide, the camera deftly slides through the narrow gap between the elephant and the woman, circling back to her back again. The elephant passes by, vast and quiet, mischievous children cheering and chasing it. The elephant bells and laughter are deafening, yet she does not even slow her steps. 15-18s (gradual shift of environment light): As she walks, the light and shadow within the long take shift magically - the harsh high-summer sun instantly softens, a gust of wind sweeps up a sky full of golden leaves [reference image 8], the seasons seamlessly transitioning to late autumn within the same long take. Falling leaves brush her shoulders. 18-21s (360-degree immersive orbit): Ahead suddenly plunges into a grand street celebration [reference image 9]. The air spits out a sky full of streamers and confetti, vendors leaning out to cheer. The camera here unfolds a continuous 360-degree orbiting move, forming an extremely strong visual rupture between the quiet, lonely protagonist and the frenzied surroundings. 21-24s (circling back to the rear-side): When the camera finishes a full circle and returns to her rear-side, the falling streamers have quietly turned into a sky full of snow - winter arrives in an instant [reference image 10]. Pedestrians put up umbrellas or pull on hoods one after another, the woman shivering slightly, turning up her coat collar, her clothing changing to [reference image 11], continuing alone through the snow. 24-26s (slow push-in tracking): As she walks toward the end of the long street, the sky darkens visibly as she moves, day seamlessly sinking into night. The dim yellow streetlights and stall bulbs on both sides light up one by one [reference image 12], vendors packing up their goods, the noise as if slowly absorbed and pulled away by the heavy snow, her steps gradually slowing. The night sky suddenly bursts with a grand display of fireworks [reference image 13], the firework sound referencing [reference audio 1], the colorful light spots flickering and leaping across the building walls and in her eyes. The world is as lively as ever, while she quietly looks up, the camera slowly pulling back, gently closing here.

Open workspace

Late-2000s flip-camera coconut vlog30.1s | 16:9 | raw handheld vacation vlog

A 30-second community workflow example follows an Indonesian creator hunting fresh coconuts through a tropical village with era-accurate camera flaws and natural ambience.

Prompt pattern for a similar shot

Preserve the exact face, hairstyle, identity, skin tone, and body proportions from @ image1 throughout. Outfit: oversized terracotta linen shirt, dusty burgundy wide-leg trousers, brown leather sandals, small gold hoop earrings, loose natural wavy hair. Authentic Indonesian woman. Late-2000s personal vlog aesthetic. Extremely raw handheld flip-camera footage with heavy camera shake, natural reframing, partial face crops, focus hunting, exposure shifts, warm faded colors, mild digital noise, and authentic home-video imperfections. No posing, no cinematic glamour, no stabilization, no modern color grading. 00:00–00:04 Walking through a peaceful tropical village lined with coconut trees, smiling into the camera. "Today we're hunting for fresh coconuts!" 00:04–00:08 Stops at a small roadside coconut stall where a friendly local vendor expertly chops open a fresh green coconut. She watches with an excited reaction. 00:08–00:12 Takes her first sip of fresh coconut water, smiles brightly, and says, "This is so refreshing!" 00:12–00:16 Sits with local villagers on a wooden bench, chatting, laughing, and enjoying the relaxed atmosphere while holding the coconut. 00:16–00:20 Tries opening another coconut herself using simple tools, struggles playfully, laughs, and the locals cheer and laugh with her. 00:20–00:24 Scoops out the soft coconut flesh with a spoon, tastes it, and gives a happy thumbs-up to the camera. 00:24–00:27 Walks slowly through the village, waving to children and locals while carrying the empty coconut shell. 00:27–00:30 Stops beneath tall coconut trees, turns back toward the camera with a warm smile, waves, and says, "See you in my next adventure. Bye!" before naturally ending the recording. Natural ambience only: birds, palm leaves rustling, village conversations, coconut chopping sounds, footsteps, breeze, insects, and distant laughter. No background music, subtitles, logos, or watermarks. The footage should feel exactly like a genuine late-2000s handheld flip-camera vacation vlog with authentic human movement and realistic interactions.

Open workspace

Paper boat narrative continuity8s | 16:9 | environmental storytelling

A simple subject moves through changing water, light, and scale while the scene maintains a clear beginning, transition, and destination.

Gym bench phone recording30.1s | 16:9 | realistic smartphone workflow

A 30-second community workflow example uses imperfect bench-level phone framing to follow recovery, a difficult cable set, and a quiet spoken ending.

Prompt pattern for a similar shot

FORMAT: 30-second horizontal 16:9 realistic smartphone video. Create an authentic, imperfect everyday gym phone recording, as if a friend casually left a phone recording on a nearby bench. Use a standard smartphone camera with mild autofocus hunting, subtle exposure shifts, natural motion blur, compression artifacts, and slightly uneven handheld framing. No polished commercial look. 00–05s — ARRIVAL The character walks into a nearly empty gym after finishing a difficult set. They place a water bottle and towel beside a bench, sit down heavily, and lean forward with both elbows on their knees. Their breathing is noticeably heavy. Camera remains several feet away at a slightly low angle, as if casually recording from a phone placed on a gym bench. 05–10s — RECOVERY They slowly unscrew the water bottle, take two small drinks, then pause with the bottle still in their hand. Their chest continues rising and falling from exertion. They look down at their hands for a moment, flex their fingers, then wipe sweat from their forehead with the towel. 10–15s — THE NEXT SET A gym timer or workout screen is visible in the background but remains completely out of focus and unreadable. The character notices the timer, looks at it, gives a small tired smile, and shakes their head as if realizing they have less rest time than expected. They stand up slowly and roll their shoulders. 15–20s — PUSHING THROUGH They walk toward a cable machine and adjust the weight themselves. Close natural phone framing as they step into position. They briefly close their eyes, take one deep breath, then begin a controlled exercise set. Show realistic physical effort: tightening muscles, sweat collecting around the forehead and neck, slight trembling near the end of each repetition, natural breathing rather than exaggerated acting. 20–25s — FINAL REP The final repetitions become visibly difficult. They pause halfway through one repetition, breathe hard, regain control, and complete the movement with genuine effort. After finishing, they slowly release the handle, bend forward slightly, and place their hands on their thighs while catching their breath. 25–30s — QUIET ENDING They grab the towel, wipe their face and neck, then look directly toward the phone for a brief moment. With a tired but satisfied expression, they quietly say in a natural low voice: “Okay… that was worth it.” They pick up the water bottle and walk out of frame. End naturally while the camera continues recording for a moment before the clip stops. AUDIO Natural gym ambience only: distant weights being placed down, cable machine sounds, rubber flooring footsteps, ventilation hum, subtle clothing movement, water bottle clicks, realistic breathing, and occasional muffled gym sounds. Dialogue should sound spontaneous and slightly breathless, not scripted or theatrical. VISUAL REALISM Authentic smartphone footage, ordinary gym lighting, realistic skin texture, visible pores, natural sweat, slightly flushed face, damp hair around the forehead, realistic muscle movement, imperfect exposure, mild phone-camera sharpening, compression noise, subtle autofocus changes, believable shadows and reflections. STRICTLY AVOID: cinematic color grading, beauty filters, artificial skin smoothing, dramatic slow motion, music, subtitles, captions, logos, readable text, fake gym equipment, exaggerated muscles, perfect lighting, fisheye distortion, excessive camera shake, unrealistic sweat, duplicated limbs, warped hands, unnatural facial expressions, scene cuts, time jumps, or skipping the described actions.

Open workspace

What can you create with Seedance 2.5?

Seedance 2.5 works best when a scene needs more time, clear camera direction, or several visual and motion references working together.

Product videos and ads

Build product reveals, material close-ups, and short ad narratives with controlled camera motion and reference-led visual consistency.

Cinematic story scenes

Use up to 30 seconds for action beats, establishing shots, atmosphere, and a complete narrative transition in one generation.

Social and vertical video

Generate 9:16 creator clips, fashion motion, travel scenes, and campaign visuals designed for mobile-first publishing.

Reference-driven brand content

Combine product, environment, character, video, and audio references to keep a creative direction consistent across a scene.

Create from text, frames, or references

Choose the input structure that matches the control you need. All three workflows lead to the same Seedance 2.5 model.

Prompt to video

Start from a written scene without uploading media.

The current General workflow requires a prompt and supports output from 4 to 30 seconds.

First and last frame

Guide the opening and ending composition with image frames.

An end frame requires a start frame. Adding a start frame locks the output ratio to Auto.

Multimodal references

Combine image, video, and audio references in one request.

Use up to 50 references: as many as 30 images, 10 videos, and 10 audio files in one request.

How to use Seedance 2.5 on Vuppo

Start from a prompt or reference media, choose the controls that matter, and iterate from the generated result in the same workspace.

01
Open the Seedance workspace
Open AI Video, select Seedance 2.5, and keep the General workflow selected for a new generation.
02
Write the scene prompt
Describe the subject, action, environment, camera movement, lighting, pace, and any exclusions such as no text overlays.
03
Add optional references
Use first and last frames or add image, video, and audio references, then mention them with @ in the prompt.
04
Set output and generate
Choose duration, aspect ratio, 480p, 720p, or 1080p, and generated sound, then review the quoted credits before submitting.

Create with Seedance 2.5

Seedance 2.5 prompt examples

Use these structures as starting points. Outputs still vary with references, duration, ratio, and generation settings.

Cinematic action

Track a fast action beat

A courier runs through a rain-soaked night market while the camera tracks at shoulder height. Neon signs reflect across wet pavement, vendors turn as the courier passes, continuous forward motion, realistic fabric movement, natural motion blur, tense pacing.

Open workspace

Product film

Reveal a product with controlled light

A matte black watch rests on dark stone as a narrow soft light moves across the case and glass. Slow clockwise camera orbit, crisp material detail, restrained reflections, clean background, premium studio photography, no hands, no text.

Open workspace

9:16 story

Build a vertical social scene

A street dancer enters an empty concrete corridor and performs one energetic combination toward camera. Vertical framing, full body remains visible, fixed camera with a slight handheld feel, daylight from side windows, realistic foot contact, continuous movement.

Open workspace

Seedance 2.5 specifications

These values reflect the model controls currently available in Vuppo, including the stricter limits enforced by the workspace.

30s

Maximum output duration

1080p

Maximum output resolution

Maximum total references

Output controls

Duration: 4-30 seconds, adjustable by the second
Resolution: 480p, 720p, and 1080p
Aspect ratios: Auto, 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16

Input controls

Text prompt: Required in the current General workflow, up to 8,000 characters
Frame guidance: Optional start and end frames; the end frame requires a start frame
Reference media: Up to 30 images, 10 videos, and 10 audio files, with 50 files total

Model behavior

Sound generation: Optional toggle, enabled by default in the current workspace
Timed reference limits: Up to 10 videos and 10 audio files; each type has a 30.2-second combined-duration limit
Multi-shot control: Not available for Seedance 2.5 in the current workspace

How the models differ

A factual view of the controls exposed in Vuppo. Higher resolution does not automatically mean a better fit for every workflow.

Capability	Seedance 2.5	Seedance 2.0	Kling 3.0
Inputs	Text, first and last frames, image, video, and audio references	Text plus image, video, and audio references	Text plus first and last frames
Output duration	4-30 seconds	4-15 seconds	3-15 seconds
Maximum resolution	1080p	4K for output from 4 to 10 seconds	4K
Generated sound	Optional	Optional	Optional
Multi-shot	No	No	Yes
Distinctive controls	1080p, longer output, and up to 50 references	Higher resolution and bitrate control	Frame control and multi-shot

Comparison is based on model options currently exposed in Vuppo. Provider availability, limits, and pricing may change.

Credits adapt to the generation

Vuppo calculates the exact credit cost when a request is submitted instead of publishing one fixed Seedance 2.5 price.

Output duration
Output resolution
Aspect ratio
Referenced video length

View plans and credits

Seedance 2.5 FAQ

Create your next scene with Seedance 2.5

Open the Vuppo video workspace with Seedance 2.5 and the General workflow already selected.

Create with Seedance 2.5

Seedance 2.5 AI Video Generator Online

Seedance 2.5 AI video examples and prompts

What can you create with Seedance 2.5?

Product videos and ads

Cinematic story scenes

Social and vertical video

Reference-driven brand content

Create from text, frames, or references

Prompt to video

First and last frame

Multimodal references

How to use Seedance 2.5 on Vuppo

Open the Seedance workspace

Write the scene prompt

Add optional references

Set output and generate

Seedance 2.5 prompt examples

Track a fast action beat

Reveal a product with controlled light

Build a vertical social scene

Seedance 2.5 specifications

Output controls

Input controls

Model behavior

How the models differ

Credits adapt to the generation

Seedance 2.5 FAQ

What is Seedance 2.5?

Can Seedance 2.5 generate video from text only?

Which reference files can I use?

How long can a Seedance 2.5 video be?

Does Seedance 2.5 support 1080p or 4K?

Can it generate sound?

What changes when I add a first frame?

How is Seedance 2.5 Extend different?

Can I use Seedance 2.5 online on Vuppo?

How much does Seedance 2.5 cost?

Create your next scene with Seedance 2.5