Wan 2.7

Wan 2.7

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Wan 2.7 is a groundbreaking AI video generation model from Alibaba's Tongyi Lab, setting a new industry standard for cinematic quality and precision. This version introduces the revolutionary "First-Last Frame Control," allowing creators to anchor both the start and end of a scene for perfect motion trajectories. With the new 9-grid multi-angle reference system, it solves the long-standing challenge of character consistency, ensuring subjects look identical from every perspective.
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Mar 28 2026
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What is Wan 2.7?

Wan 2.7 represents a monumental leap in the evolution of the Wan series, meticulously engineered by Alibaba's Tongyi Lab to bridge the gap between AI generation and professional film production. Unlike its predecessors, Wan 2.7 focuses on "deterministic creativity"—giving users the exact tools needed to realize a specific vision. Key Technological Breakthroughs: Dual-Frame Trajectory Control: For the first time, users can input both a starting and an ending frame. The AI intelligently interpolates the motion, ensuring that your story begins and ends exactly where you intended, providing a level of narrative consistency previously impossible. 9-Grid Vision Reference: By supporting a 3x3 grid of reference images, the model gains a 360-degree understanding of subjects. This eliminates character "morphing" and ensures that clothing, textures, and facial features remain stable throughout complex camera movements.

Who will use Wan 2.7?

  • Content Creators & YouTubers
  • Advertising Agencies
  • Indie Filmmakers
  • Digital Human Developers

How to use the Wan 2.7?

  • Step1: Open the Wan 2.7 generator on the web and choose text-to-video or image-to-video mode.
  • Step2: Provide inputs — text prompt, a first frame and/or last frame, or upload a 9-grid image board and subject/voice references.
  • Step3: Select model and generation settings (duration, aspect ratio, speed, sound options).
  • Step4: Click Generate to produce an initial clip, then review the output for framing, subject consistency, and voice match.
  • Step5: Apply instruction-based edits (camera, action, style, timing) to refine the clip without full regeneration.
  • Step6: Use recreation/replication workflows to create variants, localize, or produce A/B versions from the best take.
  • Step7: Export the final clip and iterate as needed for additional versions or channels.

Platform

  • Web

Wan 2.7's Core Features & Benefits

The Core Features

  • First-frame and last-frame boundary control
  • 9-grid image-to-video (storyboard board to motion)
  • Subject visual reference conditioning
  • Voice reference conditioning
  • Instruction-based video editing
  • Recreation and replication workflows for consistent variants
  • Web-based generator with model selection and credits

The Benefits

  • Stronger control over shot intent and pacing
  • Improved subject consistency across versions
  • Faster ideation from moodboards to drafts
  • Efficient editing without full regeneration
  • Scalable variant production for localization and marketing
  • Reduced production friction for teams and studios

Wan 2.7's Main Use Cases & Applications

  • Storyboarding and previsualization: turn image boards into animated drafts
  • Short-form creator series with consistent character and voice
  • Performance marketing: generate multiple ad variations from one setup
  • Game cinematics and concept trailers from multi-panel art
  • Post-production workflows: instruction-driven edits and localization
  • Educational explainer videos with repeatable visual structure

Wan 2.7's Pros & Cons

The Pros

High control over clip boundaries and motion planning
Supports both visual and voice reference conditioning
Instruction-based edits reduce need to rebuild from scratch
Workflows designed for iteration, versioning, and localization
Web-based access with free generations available

The Cons

Web-only (no native mobile or desktop apps listed)
Short duration examples referenced (e.g., 5s) — longer outputs may require more credits
No public GitHub or clear open-source components
Potential dependency on credits/pricing for heavy production use

Wan 2.7's Pricing

Has free planNo
Free trial details
Pricing modelPaid
Is credit card requiredNo
Paid from7.99 USD
Has lifetime planNo
Billing frequencyMonthly

Details of Pricing Plan

Basic

7.99 USD
  • 360 credits/month (~180 standard videos)
  • $0.044 per video
  • Native 1080p resolution
  • Standard generation speed
  • No Captcha Verification
  • Email support
  • Credits refresh monthly
  • No commercial license
  • No priority processing

Pro

25.9 USD
  • 1,320 credits/month (~660 standard videos)
  • $0.039 per video
  • Native 1080p resolution
  • Priority processing
  • 16-bit HDR & EXR Export
  • No Captcha Verification
  • Priority support
  • Commercial video license
  • Fast response

Max

59.9 USD
  • 3,600 credits/month (~1,800 standard videos)
  • $0.033 per video
  • Native 1080p resolution
  • Fastest generation speed
  • Permanent video storage
  • No Captcha Verification
  • Full commercial rights
  • Dedicated account manager
Discount:Save 20% when billed annually
For the latest prices, please visit: https://wan27.org/pricing

FAQs of Wan 2.7

Wan 2.7 Company Information

Analytic of Wan 2.7

Visit Over Time

Monthly Visits
591
Avg Visit Duration
00:00:07
Page Per Visit
1.18
Bounce Rate
42.78%
Jan 2026 - Mar 2026 All Traffic

Geography

Top 3 Regions
United States
United States
61.21%
Japan
Japan
30.52%
India
India
8.27%
Jan 2026 - Mar 2026 Worldwide Desktop Only

Traffic Sources

Search
48.23%
Direct
32.08%
Referrals
10.31%
Social
6.79%
Paid Referrals
1.72%
Mail
0.16%
Jan 2026 - Mar 2026 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
wan 2.77.0k $ --
wan2.7950 $ --
Wan 2.7 Launch embeds
Use website badges to drive support from your community for your Creati.ai Launch. They're easy to embed on your homepage or footer.
Wan 2.7: The Next-Gen AI Video Generation Model | Creati.ai
How to install?

Wan 2.7 Reviews

5/5
Do You Recommend Wan 2.7? Leave a Comment Below!

Wan 2.7's Main Competitors and alternatives?

Runway
Synthesia
Pika Labs
Kaiber
Descript (Overdub + video tools)

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