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AI video model
Vidu
Vidu Q4

Vidu Q4

Generate a video from one starting image, with a prompt describing the motion and scene.

Prompt limit
Up to 20000 characters
Upload limit
Upload one JPEG, PNG, or WebP starting image, no larger than 50 MB.
30-second overview
  • Generate a video from one starting image, with a prompt describing the motion and scene.
  • Choose a whole-number duration of 3–16 seconds, 540p, 720p, 1080p, 2k, or 4k, and generated audio on or off.
  • Upload one JPEG, PNG, or WebP starting image, no larger than 50 MB.

Popular searches: Vidu Q4 What is this model like? · Vidu Q4 Adjustable parameters · Vidu Q4 Credit usage

Examples

海边小镇的初次相遇

A beautiful Korean girl with long, straight black hair walks through a peaceful coastal Korean town during golden hour, wearing a stylish beige trench coat and carrying a handbag. A handsome Korean boy in a dark leather jacket stands near a railway crossing as a vintage tram passes by. The girl slowly approaches him along the seaside street, with warm sunlight glowing on her face. Cinematic camera movements, natural walking motion, realistic facial expressions, soft ocean breeze, and detailed Korean street scenery. Capture their first eye contact with a gentle romantic atmosphere, shallow depth of field, warm color grading, and photorealistic quality. Create a beautiful 15-second cinematic love story with smooth transitions, natural lighting, and emotional storytelling.

为巨龙系上红围巾

A quiet rural farmhouse at sunrise. A young girl walks outside carrying a small red scarf. At the edge of the field, an enormous realistic dragon is watching her. She has clearly seen it before. She walks closer and holds out the scarf. The dragon lowers its massive head. She gently ties the scarf around one of its horns. The dragon looks at her for a moment. Then it carefully nudges her shoulder with its enormous nose. She laughs. The dragon spreads its wings and takes off across the golden field while she runs after it. Photorealistic, emotionally warm, realistic creature anatomy, believable animal behavior, natural morning light, grounded rural environment, cinematic long-lens photography, subtle expressions, tender friendship, no fantasy effects, no magical particles, no cartoon aesthetic.

骑士与倔强的小马

A clumsy young knight in oversized silver armor charges through an enchanted forest on a tiny stubborn pony while a giant troll made of roots and stones chases them, the knight ducks under branches, accidentally knocks down a tree that becomes a bridge, loses his sword, catches it with his boot and kicks it into the troll’s hand while the pony unexpectedly sprints toward a collapsing castle gate; premium fantasy 3D animated movie aesthetic, expressive comedic motion, dynamic low-angle tracking, lush painted-like forest environments translated into rich 3D, soft morning sunlight, green volumetric rays, flying leaves, dust and magical particles, heroic slapstick atmosphere, ending with the knight pulling a vine at the last second, causing the entire forest floor to rise like a trampoline and launch the troll harmlessly into a lake while the pony stops perfectly at the gate and proudly poses.

动画冰球加时进球

A powerful ice hockey captain with long dark hair charges across the rink during sudden-death overtime while four defenders close around her, she slams one opponent into the boards, flips the puck over a sliding stick, catches it on her blade in midair and continues skating backward while a rival enforcer crashes toward her; she spins away from contact, uses the boards to ricochet the puck around the final defender and dives horizontally across the crease as the goalkeeper spreads across the entire goal; roaring frozen arena, brutal prestige hockey anime, sharp skating sakuga, ice-level tracking, aggressive shoulder-level camera work, dramatic puck POV, white-blue lighting, red goal lamps, snow spray, scratched ice and explosive impact frames, relentless physical atmosphere, ending with the captain tapping the airborne puck between the goalkeeper’s pads while sliding past the net, the red lamp igniting as the entire opposing formation crashes into the boards behind her.

绣线织出地标

Extreme macro shot of woven cotton shirt fabric, empty at first. Colored embroidery threads rise from the surface and weave themselves into place, laying down tight satin stitches row by row, tracing out a detailed [LANDMARK] in its country flag colors. The stitched area grows steadily across the frame, thread pulling taut and raising into dimensional embroidered texture, colors and defining features building up stitch by stitch until the full landmark is complete and clearly recognizable. Camera holds steady, slow satisfying timelapse pace. Soft natural side light, shallow depth of field, visible fabric fibers and realistic thread sheen. No hands, thread moves on its own. One shot no scene change. 5 second video. 16:9 dimension.

月下尼罗河船影

Ultra-realistic cinematic serene wide shot, extra high resolution. Camera drifts out of the khanqah and travels westward to the Nile at Bulaq under a full moon, well past midnight: dozens of moored dhows gently rocking, their masts creating a forest of silhouettes, a single lantern glowing on each boat's night watchmen playing quiet music on one deck, the moon's reflection breaking softly on the black water. Palm trees on the far bank in silhouette. Silver-blue moonlight with warm lantern accents. 12 seconds slow lateral drift along the shore.

At a glance

Is this model right for you?

Generate a video from one starting image, with a prompt describing the motion and scene. Choose a whole-number duration of 3–16 seconds, 540p, 720p, 1080p, 2k, or 4k, and generated audio on or off.

What it does best
Generate a video from one starting image, with a prompt describing the motion and scene. Choose a whole-number duration of 3–16 seconds, 540p, 720p, 1080p, 2k, or 4k, and generated audio on or off. Choose one clear goal for the first attempt.
Who it is for
Describe the subject, composition, and what should be preserved or changed.
Why use it on Kyeo AI
Check the estimated credits before submitting. Credits are reserved when the task is accepted; final billing uses confirmed consumption. Check credit history for actual charges and refunds.

Key facts

Quickly evaluate whether this model fits your business use case.

Vendor
Vidu
Capabilities
Generate a video from one starting image, with a prompt describing the motion and scene.

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Vidu Q4

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

Vidu Q4 What is this model like?
Vidu Q4 Adjustable parameters
Vidu Q4 Credit usage
Vidu Q4 Prompt limit

Decision guide

Still deciding? Start with these key decision points.

1
Capabilities

Choose one clear goal for the first attempt.

2
Upload limit

Check the accepted inputs before preparing your request.

3
Credit usage

Allow for further attempts when setting a credit budget.

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

Adjustable parameters

Match the displayed settings to the format your project needs.

Sources

Use the examples to explore ideas, rather than as a performance comparison.

Capabilities

Capabilities

Only the inputs and controls shown in this form are available here.

Upload limit

Prepare only the material needed for this request.

Credit usage

Review estimated credits before you confirm.

Use cases

At a glance

Plan a short motion study from a still image.

Adjustable parameters

Try one camera or subject movement for a scene.

What to know first

Review whether the ending frame suits your next shot.

Prompt tips

Prompt limit

Up to 20000 characters

Prompt tips

Put the most important instruction first.

Use now

Change one setting at a time when comparing attempts.

Why choose it

The form brings the available choices together.
Output choices can be checked before submission.
Keep a copy of the brief for your next revision.

What to know first

A starting image and prompt are required; reference video and audio inputs are unavailable.
Inspect the result for details that need correction.
The displayed examples are illustrative and are not evidence of this model’s performance.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Resolution
Optional
Parameter type: Select
540p
720p
1080p
2k
4k
Duration
Optional
Parameter type: Integer
5
3–16
Generate audio
Optional
Parameter type: Select
On
Off

Credit cost

Estimated reservation: 22–999 credits per request.

Rates per output second: 540p 7.2, 720p 15.2, 1080p 19.2, 2k 30.4, or 4k 62.4 credits. Multiply by the requested seconds, then round the total up once. Check the estimated credits before submitting. Credits are reserved when the task is accepted; final billing uses confirmed consumption. Check credit history for actual charges and refunds.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

Seedance 2.5

Seedance 2.5 combines a 30-second boundary, higher media counts, and video-editing reference input in one strict scene contract. Automatic duration is not underestimated at the 5-second default; Kyeo preauthorizes against the 30-second maximum.

AI video model
102–5,700 credits

Seedance 2.0

Seedance 2.0 / Capabilities — Text accepts no media; frames requires a first frame and allows a last frame; reference requires a prompt and at least one image, video, or audio reference. Reference media cannot be sent with endpoint-frame fields. Seedance 2.0 supports three mutually exclusive text, frame, and multimodal-reference scenes. The current callable output set is 720p, 1080p, and 4K for 4–15 seconds; video-reference requests are available only at 1080p or 4K because those are the current priced combinations. 164–3,840 credits per request

AI video model
164–3,840 credits per request

Seedance 2.0 Fast

Seedance 2.0 Fast / Capabilities — Text accepts no media; frames requires a first frame and allows a last frame; reference requires a prompt and at least one image, video, or audio reference. Reference media cannot be sent with endpoint-frame fields. 480p/720p · 4–15 · 41–450 credits per request.

AI video model
41–450 credits per request

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

Availability and settings on this page describe the current Kyeo form.

Last updated: 2026-10-22
Sources
Integration

Generate a video from one starting image, with a prompt describing the motion and scene. Examples illustrate creative directions and do not claim generation by this model.