Skip to main content
AI video model
Alibaba
Wan

Wan 3.0 Video

Wan 3.0 combines Standard and Prime tiers with text, first/last-frame, and signed multimodal-reference generation. The reservation is the variant-and-resolution rate multiplied by verified input-video seconds plus reserved output seconds, rounded up once. Intelligent duration reserves 30 output seconds and is unavailable with reference video.

Version
Standard / Prime
Output
480P / 720P / 1080P
Duration
2–30 seconds / intelligent
Credits
16–1,512
30-second overview
  • Standard and Prime share the same scene and parameter contract
  • Supports 2–30 seconds plus intelligent duration
  • Accepts signed images, videos, and audio in reference mode
  • Supports 480P, 720P, and 1080P with six aspect-ratio choices

Popular searches: How do I use Wan 3.0 Video? · How much does Wan 3.0 standard cost? · How much does Wan 3.0 Prime cost?

Examples

Cinematic scene

参考上传图片中的同一位成年东亚女性,生成一段 4秒、9:16竖屏、真实感夏威夷海滩时尚 Lookbook 视频。 【人物】 严格保持上传参考图中的: 脸部五官、黑色长发、肤色、年龄感、身材比例、成熟冷艳气质、金色长耳饰一致。 当前泳装: 【填写本段泳装】 人物始终为同一位女主。 【场景】 女主位于: 【填写本段夏威夷海边场景】 场景必须具有明确的夏威夷热带度假视觉: 蓝绿色海水、明亮沙滩、高大棕榈树、强烈自然阳光、海滨度假氛围。 根据当前场景可加入: 火山岩、木栈道、白色遮阳伞、Cabana、无边泳池、海滨酒店、热带植物。 背景可自然出现少量度假游客或工作人员,位于中远景自然活动,不参与女主表演。 【摄影与构图】 统一使用: 近距离强鱼眼超广角 + 高机位轻俯拍。 人物居中。 画面同时看到: 脸部 + 泳装造型 + 腿部 + 大面积海滩环境。 香槟杯靠近摄影机时形成明显的巨大前景透视。 摄影机稳定。 【香槟杯】 女主持有: 【填写本段香槟杯型】 杯中装有 淡金色起泡香槟,能看到细密气泡。 杯子是这一段最主要的转场道具。 【时间轴】 0.00–0.80秒|香槟杯撤开 开场时: 装有金色香槟的杯肚已经处于摄影机前方极近位置。 玻璃折射、金色液体和失焦高光占据大部分画面。 女主沿镜头中心平稳将香槟杯向后收回。 随着杯子撤开,逐渐露出: 女主脸部 → 当前泳装 → 当前夏威夷海滩场景。 女主已经提前进入当前 Pose。 0.80–2.90秒|泳装 Look 展示 女主保持当前站姿或坐姿: 【填写本段人物姿态】 完成一个简单明确的表情动作: 【填写本段表情】 表演主要依靠: 眼神、嘴角、头部角度、下巴以及轻微身体重心变化。 泳装完整清楚展示。 动作幅度克制,保持成熟、松弛、时尚的度假 Lookbook 感。 2.90–4.00秒|香槟杯遮镜 女主保持当前表情, 将香槟杯沿摄影机中心直接向前送出。 使用: 装有香槟的杯肚正面对准摄影机。 随着杯子快速靠近: 金色香槟液体 + 透明玻璃折射 + 气泡 + 失焦高光 迅速放大。 到最后: 整个画面完全被香槟液体和玻璃折射填满。 保持完整遮镜状态结束。 方便下一段视频从另一只香槟杯贴近镜头的状态直接衔接。 【强制约束】 每段视频统一保持: 4秒 + 9:16竖屏 + 夏威夷海滩 + 泳装 Lookbook + 香槟杯遮镜。 不同视频只更换: 泳装 + 夏威夷场景 + 香槟杯型 + 人物姿态 + 表情。 人物脸部、黑色长发、肤色、年龄感、身材比例始终稳定。 每段只设计 一个主要表情变化,不要连续加入多个复杂表情。 香槟杯遮镜必须使用: 杯肚正对摄影机推进至极近距离,使金色香槟、玻璃折射与失焦高光完整覆盖画面。 动作保持自然真实速度,节奏清楚、利落、干脆。

Cinematic scene

**CAMERA:** DV 16mm handheld camcorder POV. CHASE holds the camera or props it on the floor/bag. Natural hand shake, soft focus, imperfect framing, occasional clumsy zooms. Camcorder never visible. **LOOK:** Soft vintage tape quality, slight blur, tape noise, bloomed gym lights, flickering auto-exposure, muted contrast. **STYLE:** Calm post-workout gym vlog. Relaxed, slightly tired, natural pacing, genuine smiles and quiet reflections. **CHARACTER:** CHASE — Korean woman in her 20s. Long black hair loosely tied, light post-workout sweat, slim athletic build. Modest long-sleeve athletic top, loose joggers/leggings, socks, towel around neck. **SETTING:** Quiet evening gym corner with stretching mat, mirror, gym bag, protein shake, soft lighting. **SCENES:** 1. Sits on mat, exhales. "Okay, cool-down time." 2. Hamstring stretch, laughs. "That was a lot today." 3. Shoulder stretch. "Legs are gonna be sore tomorrow." 4. Close-up grabbing protein shake. 5. Drinks. "That's actually really good." 6. Arms overhead. "I'd give today an eight out of ten." 7. Resting on knee. "Feels good to be done." 8. Waves with bag and shake. "Alright, I'm heading out—see you guys."

Cinematic scene

Main Subject: Young Korean woman, 24, naturally attractive, realistic skin, minimal makeup, long dark hair loosely down. Wearing an oversized maroon hoodie and loose casual pants. Preserve her exact identity, facial features, hairstyle, body proportions and appearance throughout. Location: Small old Seoul apartment during a dark, rainy early morning. A large rain-covered bedroom window overlooking blurred neighboring apartment buildings, wet rooftops and faint city lights. Simple wooden furniture, a small bedside table and a quiet lived-in bedroom. Lighting & Atmosphere: Deep early-morning blue-hour ambience. Cold blue-gray light coming through the rainy window with a very weak warm glow from a bedside lamp. Dark cloudy sky, muted colors, soft shadows, slightly underexposed interior and a peaceful sleepy atmosphere. Style: Ultra-realistic early-2000s Sony MiniDV home video filmed by another person holding the camcorder. Completely candid and unstaged. Natural handheld movement, subtle human shake, imperfect framing, gentle reframing, occasional autofocus hunting, mild exposure shifts, faded colors, soft contrast, authentic DV compression, subtle low-light digital noise and microphone noise. Smooth continuous real-time motion throughout. No stuttering, judder, frame skipping, duplicated frames, stop-motion appearance, excessive motion blur, speed changes or low-frame-rate look. No stabilization or modern cinematic movement. 00:00–00:03 — WAKING WINDOW: She walks slowly toward the bedroom window, still sleepy, and gently pulls the curtain aside. The dark rainy Seoul morning is revealed. 00:03–00:06 — CONDENSATION: She notices the glass is covered with condensation. She raises one finger and slowly wipes a small clear patch across the fogged window. 00:06–00:09 — LITTLE DRAWING: She absentmindedly draws a tiny simple smiley face in the condensation with her fingertip. She looks at it for a moment with a faint amused smile. 00:09–00:12 — RAIN: She leans closer to the cleared section and watches raindrops running down the glass. The camera gently moves closer, catching the blurred Seoul buildings beyond. 00:12–00:15 — QUIET MOMENT: She rests her forehead lightly against the cool glass for a second, listening to the rain. She gives a tiny peaceful smile as the camera slowly drifts toward the rainy view and cuts. Audio: Natural location sound only—steady rain against the window, faint wind, distant traffic, subtle room ambience, soft footsteps and quiet fabric movement. No music, narration or added sound effects. Goal: Feel like a completely ordinary, intimate early-2000s home-video moment. Nothing dramatic happens; the atmosphere comes from the rainy window, condensation, her tiny smile and the quiet early morning. It should feel accidentally captured rather than deliberately performed. Motion quality: Keep her movements extremely natural and smooth, especially the finger moving through condensation and her slow approach to the window. Camera movement should remain gentle and continuous. No stuttering, judder, frame skipping, duplicated frames or artificial slow motion. The vintage appearance must come from authentic MiniDV image characteristics rather than reduced frame rate.

Cinematic scene

0:00 – 0:04 A dramatic cinematic close up of Image 1 in near-total darkness. The camera slowly pushes in from a low angle as Image 1 looks upward, frozen in shock. Their breathing is heavy, their eyes wide, as if they have just realized something impossible. A thin, cold rim light cuts across their face while the background remains pitch black, filled with faint drifting mist. The atmosphere feels tense, psychological, and mysterious. 0:05 – 0:07 Hard cut to an over the shoulder shot from behind Image 1. Far ahead, Image 2 stands motionless under a sharp overhead spotlight. The figure is revealed slowly through the mist, looking calm, powerful, and strangely familiar. The silence builds pressure. A deep cinematic announcer voice whispers: “Your next opponent is…” 0:08 – 0:09 The camera cuts to a wide profile shot. Image 1 and Image 2 face each other on a pitch black stage, each standing inside their own warm circular spotlight. The composition feels like a retro arcade fighting game boss battle reveal, but with a dark psychological twist. As the camera holds on both characters, the announcer finishes: “You.” Image 1’s expression shifts from fear to realization. Image 2 remains still, like a darker reflection of Image 1. Heavy shadows, floating dust, stage fog, and high contrast lighting create a cinematic final boss atmosphere.

Cinematic scene

10-second cinematic sci-fi action sequence, 16:9, ultra-realistic, vibrant color, maximum tension, realistic destruction. Inside a futuristic reactor facility. A tiny sphere of glowing antimatter escapes containment. Everything it touches vanishes instantly. Not explodes. Disappears. The sphere bounces unpredictably through the facility. Walls vanish. Floors vanish. Entire machines disappear. A technician flees across collapsing catwalks. The sphere ricochets closer and closer. The camera stays tight. The glowing sphere enters frame repeatedly from random directions. The technician jumps a gap. The sphere touches the bridge behind him. The entire structure disappears. Cut.

Cinematic scene

{ "shot": { "composition": "POV time-freeze with hands moving through frozen environment", "lens": "ultra-wide cinematic lens with subtle distortion", "camera_movement": "slow walk, precise hand movements, sudden time release burst" }, "subject": { "description": "person moving while everything else is frozen mid-action", "wardrobe": "hands visible", "props": "frozen people, objects mid-air, suspended debris" }, "scene": { "location": "busy city street", "time_of_day": "day", "environment": "people frozen mid-motion, objects suspended in air" }, "visual_details": { "action": "walk through frozen crowd, move objects, sudden time resumes explosively", "special_effects": "time freeze particles, motion snap release", "hair_clothing_motion": "fabric still then snapping with time" }, "cinematography": { "lighting": "clean daylight with sharp shadows", "color_palette": "natural tones with crisp contrast", "tone": "mind-bending, cinematic" }, "audio": { "music": "slow ambient then explosive drop", "ambient": "silence then sudden chaos", "sound_effects": "time snap, object movement", "mix_level": "contrast silence and burst" } }

At a glance

Is this model right for you?

Choose text, frames, or references as one exclusive scene. Reference mode accepts images, videos, and audio, but audio cannot be the only media. Each uploaded asset is checked by true file type, size, geometry, duration, and a model-bound signature before task creation or credit reservation.

What it does best
A flexible Wan generation entry point for short or long clips, with a higher-priced Prime route when the premium tier is needed.
Who it is for
Storyboards, product shots, first/last-frame motion, and multimodal direction using short visual and audio references.
Why use it on Kyeo AI
Kyeo keeps safety checking server-controlled, verifies every reference before charging, and settles actual usage without hidden extra debits.

Key facts

Quickly evaluate whether this model fits your business use case.

Scenes
Text / first-last frames / references
Reference images
Up to 10
Reference videos
Up to 5; ≤15 seconds total
Reference audio
Up to 5; ≤15 seconds total
Upload formats
JPG / PNG without transparency / WebP / BMP; MP4 / MOV; MP3 / WAV

Other names

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

Wan 3.0
Wan 3.0 Prime
Wan 3.0 AI video

Common questions

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

How do I use Wan 3.0 Video?
How much does Wan 3.0 standard cost?
How much does Wan 3.0 Prime cost?
Which reference media can Wan 3.0 accept?
How does intelligent duration reserve credits?

Decision guide

Still deciding? Start with these key decision points.

1
Choose standard for cost control

Use standard when the shared scene controls are sufficient and the lower per-second rate matters most.

2
Choose Prime deliberately

Prime uses the same inputs but a higher per-second rate, so compare a short representative shot before scaling a sequence.

3
Use intelligent duration only with enough balance

A duration of -1 reserves the 30-second ceiling. With reference video, choose an explicit duration so input plus output stays within 30 seconds.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

How do Wan 3.0 standard and Prime prices differ?
How do Wan 3.0 and Seedance 2.5 media limits compare?

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Version and price
Wan 3.0 Video
Standard: 8 / 16 / 32; Prime: 12.2 / 25.2 / 50.4 credits per billed second at 480P / 720P / 1080P.
Seedance 2.5
17–158 credits per input-plus-output or output second, depending on video presence and resolution
Wan 2.7 Video
Fixed 720p / 1080p duration tiers
Multimodal input
Wan 3.0 Video
10 images / 5 videos / 5 audio clips; video and audio each ≤15 seconds total
Seedance 2.5
30 images / 10 videos / 10 audio clips; separate 30-second totals
Seedance 2.0 Mini
9 images / 3 videos / 3 audio clips

Real-world experience

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

Tier choice changes reservation directly

The reservation is the variant-and-resolution rate multiplied by verified input-video seconds plus reserved output seconds, rounded up once. Intelligent duration reserves 30 output seconds and is unavailable with reference video.

Signed references close external-link ambiguity

Kyeo accepts only references uploaded through its verified path, so file type, geometry, byte size, and duration are bound before execution.

Capabilities

Three exclusive scenes

Generate from text, a required first frame with optional last frame, or multimodal references.

Standard and Prime routing

Switch quality tier without changing the public media contract.

Controlled multimodal references

Combine up to 10 images, 5 videos, and 5 audio clips within the signed local limits.

Use cases

Product motion studies

Use first and optional last frames to define a controlled transformation or camera move.

Reference-led campaign clips

Combine visual identity, motion samples, and short sound references for a consistent direction.

Longer text-led shots

Plan an explicit 2–30-second sequence without requiring reference media.

Prompt tips

State the scene progression

Describe subject, action, camera, lighting, and ending state in chronological order.

Assign one role per reference

Explain which asset defines identity, motion, composition, or sound to reduce conflicts.

Budget intelligent duration as 30 seconds

Treat -1 as a maximum reservation, not as a low-cost default.

Why choose it

One contract covers standard and Prime.
Supports text, frame, and multimodal-reference workflows.
Output duration reaches 30 seconds.
Every reference is verified before credits are reserved.

What to know first

Reference videos and audio each have a 15-second aggregate limit.
A reference video cannot be combined with intelligent output duration; explicit input plus output must stay within 30 seconds.
PNG files with transparency are rejected.
File and arbitrary-link shortcuts are not available in the current verified path.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Generation scene
Optional
Parameter type: Select
Default: text
text
frames
reference
Version
Optional
Parameter type: Select
Default: standard
standard
prime
Resolution
Optional
Parameter type: Select
Default: 1080P
480P
720P
1080P
Aspect ratio
Optional
Parameter type: Select
Default: adaptive
adaptive
16:9
4:3
1:1
3:4
9:16
Duration
Optional
Parameter type: Integer
Default: 5 seconds
-1 for intelligent, or 2–30 seconds
Generate audio
Optional
Parameter type: Boolean
Default: on
true
false
Seed
Optional
Parameter type: Integer
0–2,147,483,647

Credit cost

16–1,512 credits

Standard: 8 / 16 / 32; Prime: 12.2 / 25.2 / 50.4 credits per billed second at 480P / 720P / 1080P. The reservation is the variant-and-resolution rate multiplied by verified input-video seconds plus reserved output seconds, rounded up once. Intelligent duration reserves 30 output seconds and is unavailable with reference video.

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 Mini

Seedance 2.0 Mini combines text, first/last-frame, and multimodal-reference generation in one entry point. Reference video enters the pre-task pricing formula, so both media duration and output duration must be verified before task creation.

AI video model
15–150 credits

Wan 2.7 Video

Wan 2.7 supports text-to-video, first-frame or first-and-last-frame image-to-video, and video editing. It currently offers 720p and 1080p, so compare media requirements, duration, framing, and estimated credits together.

AI video model
16 credits/second at 720p; 24 credits/second at 1080p

Sources

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

Source note

This page covers the released Wan 3.0 standard and Prime contracts verified for Kyeo. Kyeo supports text, first/last-frame, and signed multimodal-reference input; file and link shortcuts remain unavailable until they can use the same local verification boundary.

Last updated: 2026-08-28
Wan 3.0 current interface notes
Integration

Used to check the input modes, visible controls, media limits, and availability of the version currently connected to this site. The page and workbench show the actual options.

Current Wan 3.0 site specifications
Integration

Used to verify local upload limits, signed-reference checks, preauthorization, and actual settlement.