- 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
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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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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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 plan | No |
|---|---|
| Free trial details | |
| Pricing model | Paid |
| Is credit card required | No |
| Paid from | 7.99 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Basic
7.99 USDPro
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/pricingFAQs of Wan 2.7
Wan 2.7 Company Information
- wan27.org
Analytic of Wan 2.7
Visit Over Time
Monthly Visits
21.0k
Avg Visit Duration
00:00:26
Page Per Visit
1.70
Bounce Rate
38.73%
Apr 2026 - Jun 2026 All Traffic
Geography
Top 5 Regions
United States
31.75%
Germany
16.73%
Indonesia
6.77%
Vietnam
6.47%
Russia
5.68%
Apr 2026 - Jun 2026 Worldwide Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| wan 2.7 | 25.0k | $ -- |
| wan2.2图生视频让小姐姐跳舞的提示词 | -- | $ -- |
| wan2.2_remix_nsfw_i2v_14b_high_lighting_v2.0.safetensors | 240 | $ -- |
| wan 2.2 转场一致性 | -- | $ -- |
| wan 2.7 image download | -- | $ -- |
How to install?
Wan 2.7 Reviews
5/5
Wan 2.7's Main Competitors and alternatives?
Runway
Synthesia
Pika Labs
Kaiber
Descript (Overdub + video tools)
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