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Wan AI model

Wan 2.6

Structured 5–15s clips in 720p/1080p — stronger subject consistency with 1–3 reference videos.

Ideal for storyboards, mini-trailers, and product motion where clean transitions matter.

Text→VideoImage→Video1080pUp to 15s (per generation)16:9 / 9:16 / 1:1Audio
Start generating with Wan 2.6Compare Wan 2.6 vs Sora 2 →

Pay-as-you-go · Price shown before you generate

Wan 2.6 Text, Image & Reference to Video AI video example: Global look: elegant thriller, rainy night, soft neon, 35mm, fine film grain...
Audio on15s
  • Price$0.20/s
  • Duration15s
  • Format16:9
View render →

Best use cases

Mini trailers & storyboardsProduct hero motion (from a still)Subject consistency (reference video)Multi-shot sequences (timestamped beats)Match cuts & clean transitionsSound beds via audio URL (T2V/I2V)

Why Wan 2.6 is powerful

  • Three modes, one workflow (Pick text, image, or reference video depending on how much control you need.)
  • Timestamped shot lists (Beat-by-beat prompts steer pacing and transitions with less drift.)
  • Reference anchoring (Tag @Video1/@Video2/@Video3 to keep the same subject across variants.)
  • Optional sound bed input (Add a background track for text/image runs; keep reference runs focused on visuals.)

Real Specs – Wan 2.6 in MaxVideoAI

The limits that shape your renders.
Price / second720p $0.13/s1080p $0.20/s
Text-to-VideoSupported
Image-to-VideoSupported
Video-to-VideoSupported
Reference image / style referenceSupported
Reference videoSupported
Max resolution1080p
Max durationUp to 15s (per generation)
Aspect ratios16:9 / 9:16 / 1:1
FPS options24
Output formatMP4
Audio outputSupported
Lip syncSupported
Camera / motion controlsBasic
WatermarkNo (MaxVideoAI)
Release dateDec 2025
Reference-driven consistencyDetails

Supports text, image, and reference-video workflows for stronger subject continuity. Built for multi-shot sequences.

  • Use reference video to anchor a character.
  • Keep wardrobe and lighting constant.
  • Specify transitions between beats.
  • Great for storyboards and mini-trailers.
Timestamped controlDetails

Shot lists with timestamps steer pacing and transitions. Clear beat markers work better than adjectives.

  • Number beats in order.
  • Call out cuts or match-moves.
  • Limit each beat to one main action.
  • Add an optional sound bed when needed.

Wan 2.6 Example Gallery

Recent Wan 2.6 renders across text, image, and reference workflows.

View all Wan 2.6 examples →

How to Write a Great Wan 2.6 Prompt

Wan AI

Wan 2.6 follows short prompts with clear subject, scene, and motion; use a simple shot list for multi-shot.

Tip: duration + aspect ratio are set in the UI - your prompt controls subject, motion, camera, style, and optional sound. Keep prompts concise; prompt expansion helps.

Quick prompt (fast iteration)

Use 1–2 sentences when you want variations.

Quick = variations. Use for fast iteration.

Template (copy/paste)

[Subject] [motion] in [scene], [camera], [lighting/style], [optional sound cue].
Negative: [text, logos, extra people, blur]

Example

Handheld smartphone UGC clip of a woman unboxing a new skincare bottle at a kitchen table. She peels the seal, smiles, and turns the bottle toward camera. Soft window daylight, natural colors, subtle room tone + packaging crinkle.

Render-ready example

Wan 2.6 Text & Image to Video AI video example: Wide 16:9 full-body unboxing video in a clean studio/kitchen setting. A person is fully v...
Audio on10s

Wide 16:9 full-body unboxing video in a clean studio/kitchen setting. A person is fully visible (head-to-toe or at least head-to-knees) standing behind a minimalist tabletop. They unbox a small generic gadget from a plain matte cardboard box: peel the seal, open the lid, remove the inner tray, take…

View render →

Tips & limitations

Wan 2.6 is easiest to steer when you use short beats, explicit transitions, and reference anchoring when identity must stay stable.

What works best

  • Use timestamped beats for pacing (2–3 beats max). One clear action per beat.
  • Repeat the same anchors across beats (subject, wardrobe/props, location, lighting, lens feel) to reduce drift.
  • For consistency, use Reference mode and tag clips directly in the prompt (@Video1 / @Video2 / @Video3).
  • Call out transitions (match cut, whip pan, cut on action) instead of “dynamic” wording.
  • Add a sound bed only when you’re in Text/Image modes; keep Reference runs focused on visuals.

Common problems → fast fixes

  • Subject changes / drift → reduce beats, repeat anchors in every beat, and switch to Reference with cleaner, tighter-framed videos.
  • Camera too jittery → replace “dynamic” with “slow, smooth, controlled”; specify “tripod-stable” or “smooth track”.
  • Beats feel inconsistent → add timestamps ([0–5s], [5–10s]) and make each beat a single readable action.
  • Look deviates from the key visual → start from Image→Video (hero frame), then only ask for motion; keep the style recipe identical.
  • Transitions feel jumpy → explicitly name the transition + keep the camera move continuous between beats.

Hard limits to keep in mind

  • Reference-to-Video supports only 5s or 10s (not 15s).
  • Reference mode uses 1–3 videos and expects @Video1/@Video2/@Video3 tags.
  • Prompts are short-form (800 characters); keep the “must-have” details early.
  • Audio URL / sound bed is not part of Reference-to-Video in this routing.

Wan 2.6 vs Wan 2.5

View Wan 2.5 details →

Use Wan 2.6 when you need:

  • Reference-to-video consistency
  • Timestamped multi-shot sequences
  • More aspect-ratio control and structure

Use Wan 2.5 when you want:

  • Native audio in the same render
  • Simple short beats at lower cost
  • Quick ideation with sound-led timing

Compare Wan 2.6 vs other AI video models

Not sure if Wan 2.6 is the best fit for your shot? These side-by-side comparisons break down the tradeoffs — price per second, resolution, audio, speed, and motion style — so you can pick the right engine fast.

Each page includes real outputs and practical best-use cases.

Wan 2.6 vs OpenAI Sora 2

Create rich AI-generated videos from text or image prompts using Sora 2. Native voice-over, ambient effects, and motion sync via MaxVideoAI.

Compare Wan 2.6 vs OpenAI Sora 2 →

Wan 2.6 vs Google Veo 3.1

Generate cinematic Veo 3.1 videos with text prompts, start-image animation, multi-reference guidance, optional last-frame control, and extend workflows in one unified MaxVideoAI model page.

Compare Wan 2.6 vs Google Veo 3.1 →

Wan 2.6 vs LTX Video 2.0 Fast

Generate fast cinematic AI videos with LTX-2 Fast. Text and image to video with synchronized audio, up to 4K, ideal for rapid iteration and social content.

Compare Wan 2.6 vs LTX Video 2.0 Fast →

Safety & people / likeness

  • No sexual content, and nothing involving minors.
  • No hateful, harassing, or graphic-violence content.
  • Don’t impersonate real people or public figures; use consent for any likeness/voice.
  • Don’t include private personal data (addresses, phone numbers, documents, non-consenting faces).
  • Some prompts or reference videos may be blocked by provider safety filters.

FAQ – Wan 2.6 in MaxVideoAI

Does Wan 2.6 support audio?

Audio URLs are optional for Text and Image modes. Reference mode does not support audio uploads.

How many reference videos can I upload?

1–3 MP4/MOV references. Tag them in the prompt as @Video1, @Video2, and @Video3.

What durations are supported?

Text and Image modes: 5, 10, or 15 seconds. Reference mode: 5 or 10 seconds.