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Explore more AI Image Editor video generation models for ad shorts, product motion, social content, and asset refinement.

AI video generation

Generate text-to-video, image-to-video, reference-to-video, and edited videos with Wan 2.7

Wan 2.7 is an AI video generation model family in AI Image Editor. It covers generating video from text prompts, turning images into dynamic shorts, using reference assets to guide subjects and style, and continuing from source video with editing. It suits ad, product, and social video tasks where you need to balance 720p/1080p, aspect ratio, duration, and prompt rewriting.

Text-to-videoImage-to-videoReference-to-videoVideo editing
Model
Wan 2.7 series

Covers short-video generation and editing for ad previews, product showcases, social assets, and creative review.

Input
Prompts + images + video + audio

Start from a text description, or upload images, reference assets, source video, or audio depending on the mode.

Output
Downloadable AI video

Generated results are saved to account history for review, comparison, download, and further adjustment.

Which AI video generation tasks Wan 2.7 fits

Wan 2.7 turns prompts, images, reference assets, and source video into review-ready motion content while covering generation and editing scenarios in one model family.

Fast text-to-video ideation

Enter the subject, scene, action, camera, and style, then let Wan 2.7 generate a first AI video draft.

Image-to-video for static assets

Upload product shots, portraits, posters, or concept art, then define motion, camera changes, and pacing with a prompt.

Reference-to-video consistency control

Use reference assets when a short needs to preserve a character, product, composition, or visual style.

Video editing from source clips

Upload source video and image assets, then guide continued generation with a prompt for targeted changes and short-video remixes.

Clear parameter control

Choose 720p or 1080p, common aspect ratios, generation duration, and whether to enable prompt rewriting for the task.

Results built for comparison

Completed videos are saved to generation history, making it easier to compare modes, asset combinations, prompts, and resolutions.

Content you can create with Wan 2.7

Use Wan 2.7 to turn prompts, images, reference assets, source videos, and audio inputs into AI videos for marketing, product showcases, social posts, and concept validation.

Create ad and social video drafts

Convert creative briefs, product selling points, or short scripts into reviewable AI video versions.

Define the usage scenario

State whether the video is for ad preview, product demo, social post, campaign visual, or concept validation.

Write clear shot details

Describe subject, action, camera angle, camera motion, lighting, pacing, aspect ratio, and duration so the direction is steadier.

Review publishing risks

Check visual stability, people or product details, logos, text, asset rights, and brand requirements.

Turn image assets into short videos

Use a product image, portrait, or campaign key visual as the starting frame, then generate motion assets for display and paid media.

Preserve the core visual

Specify the product shape, facial traits, composition, colors, and brand elements that must remain consistent.

Set the motion style

Request push-ins, pull-backs, orbit moves, pans, environment changes, or subject action to reduce random movement.

Generate to spec

Choose landscape, portrait, square, or other common aspect ratios, then select the right resolution and duration for the channel.

Edit and remake existing video clips

When existing footage needs a new style, added shots, or a revised visual direction, use video edit mode to continue from the source video.

Set the change goal first

Clarify whether you need to adjust visual style, subject action, atmosphere, product presentation, or pacing.

Upload source assets

Depending on the mode, upload source video, images, reference assets, or audio so the model understands what to keep and what to change.

Save usable versions

Keep completed videos in AI Image Editor history so you can download, compare, or continue adjusting prompts later.

How to generate and edit AI video with Wan 2.7

01

Choose the right mode

Select text-to-video, image-to-video, reference-to-video, or video editing based on your assets and goal.

02

Enter prompts and upload assets

Describe subject, action, camera, style, aspect ratio, and duration, then upload images, video, or audio as required by the mode.

03

Generate, review, and download

After submission, review the saved result, compare visual stability, detail quality, and format fit, then download the video or keep adjusting.

Wan 2.7 video generation FAQ

What kinds of video can Wan 2.7 generate?

Wan 2.7 is an AI video generation model family supported by AI Image Editor. It covers text-to-video, image-to-video, reference-to-video, and video editing for ads, product videos, social shorts, and concept clips.

What input assets does Wan 2.7 support?

It supports text prompts and, depending on the mode, image, video, or audio assets. Image-to-video and reference-to-video focus on images and reference assets, while video editing focuses on source video and image input.

Can I control resolution and duration?

Yes. The Wan 2.7 page provides 720p/1080p, common aspect ratios, duration, and prompt rewrite settings. Video edit mode uses duration options better suited to short clip changes.

Is Wan 2.7 suitable for commercial video assets?

It is suitable for ad previews, product showcases, social shorts, and concept videos. Before final commercial use, still review input rights, likeness permissions, logos, on-screen text, and promotional claims.

Create video with Wan 2.7

Add assets, choose a mode, and generate or edit clips.

Wan 2.7 ModelText/image/reference/edit Mode