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Wan 2.7 AI Video Generator

Wan 2.7 is an AI video generator for text to video, image to video, and reference to video creation. It supports 1080p video, video editing, first and last frame control, and up to 5 reference inputs for more controlled video generation.

Image to Video
Text to Video
Model
Select Model

Click to upload an image

Upload JPG/PNG/WEBP images up to 10MB, with a minimum width/height of 300px.

Example Creations

See What Wan 2.7 Can Create

Explore example videos inspired by Wan 2.7 1080p video, reference to video control, and video editing workflows
Chrome Store
4.9

Chrome Store

20,000,000+

Global Users

Apple Store
4.9

Apple Store

Trusted by Leading Institutions Worldwide

How It Works

How to Create Videos With Wan 2.7

A Wan 2.7 workflow built for text to video, image to video, and video editing
Use Text, Images, or References
1

Use Text, Images, or References

Use a prompt, an image, or reference inputs to guide Wan 2.7. This supports text to video, image to video, and reference to video workflows with stronger control from the first result.

Guide Motion and Frame Control
2

Guide Motion and Frame Control

Describe motion, framing, pacing, and scene direction in clear language. Wan 2.7 uses that guidance to produce cleaner motion, better continuity, and more precise first and last frame control.

Generate and Edit Video
3

Generate and Edit Video

Generate a clip, review the output, then use video editing instructions or prompt refinements to improve timing, consistency, and scene quality. This helps you reach a stronger result with fewer reruns.

Core Features

Why Wan 2.7 Stands Out

Built for 1080p video, reference control, and faster video editing

Text to Video, Image to Video, and Reference to Video

Wan 2.7 supports text to video, image to video, and reference to video in one workflow. That makes Wan 2.7 useful for product videos, social content, branded clips, and story driven scenes that need more predictable outputs.
Text to Video, Image to Video, and Reference to Video

1080p Video With Audio-Aware Generation

Wan 2.7 supports 1080p video generation with audio-aware workflows. This makes Wan 2.7 more useful for short form video, campaign content, and polished outputs that need better timing and stronger audio visual alignment.
1080p Video With Audio-Aware Generation

Video Editing With First and Last Frame Control

Wan 2.7 supports instruction based video editing plus first and last frame control. This makes Wan 2.7 easier to use for scene changes, transition planning, and targeted revisions without rebuilding every clip.
Video Editing With First and Last Frame Control

Up to 5 References for Consistent Video Output

Wan 2.7 supports up to 5 simultaneous reference inputs for multi subject compositions. This helps Wan 2.7 preserve subject identity, scene direction, and consistency across versions and outputs.
Up to 5 References for Consistent Video Output
User Reviews

What Users Are Saying

How creators, marketers, and teams describe Wan 2.7

First and last frame control feels practical

Wan 2.7 first and last frame control helps shape transitions without restarting the whole video editing workflow.

Reference to video improves consistency

Wan 2.7 reference to video is useful when subject identity and scene consistency matter across multiple outputs.

Video editing is faster and more flexible

Wan 2.7 video editing lets teams refine scenes, swap elements, or adjust style without rebuilding every clip from zero.

1080p video looks stronger for real campaigns

Wan 2.7 1080p video is easier to use for ads, product videos, and social content that need cleaner visual quality.

Text to video and image to video both feel usable

Wan 2.7 text to video and image to video workflows are practical for concept work, branded clips, and short form creative production.

Reference inputs reduce reruns

Wan 2.7 reference inputs and frame control help reduce reruns by making each version more directed and more consistent.

First and last frame control feels practical

Wan 2.7 first and last frame control helps shape transitions without restarting the whole video editing workflow.

Reference to video improves consistency

Wan 2.7 reference to video is useful when subject identity and scene consistency matter across multiple outputs.

Video editing is faster and more flexible

Wan 2.7 video editing lets teams refine scenes, swap elements, or adjust style without rebuilding every clip from zero.

1080p video looks stronger for real campaigns

Wan 2.7 1080p video is easier to use for ads, product videos, and social content that need cleaner visual quality.

Text to video and image to video both feel usable

Wan 2.7 text to video and image to video workflows are practical for concept work, branded clips, and short form creative production.

Reference inputs reduce reruns

Wan 2.7 reference inputs and frame control help reduce reruns by making each version more directed and more consistent.
FAQs

Frequently Asked Questions

Common Questions About Wan 2.7
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