Text to Video

Create AI videos from text prompts with model, resolution, aspect ratio, duration, and audio controls.

Checking credits
AI Model
Prompt
0/5000
Audio
Duration
s
0-10 seconds
Aspect Ratio
Resolution
120 credits1080p · 5s · silent

AI Video Showcase

Explore cinematic motion, character consistency, and multi-modal video generation examples.

Wan 2.7 Text to Video

Create AI videos from text with Wan 2.7

Wan 2.7 is a flexible Wan suite for prompt-heavy scenes, 720p to 1080p output, and optional audio input. This Studio route exposes 720p, 1080p resolution, 0-10s duration, 16:9, 9:16, 1:1, 4:3, 3:4 aspect-ratio controls, and silent video generation.

The local model configuration lists Wan 2.7 as a text-to-video model from Wan.
This page currently exposes 720p, 1080p resolution and 0-10s duration controls.
Wan 2.7 works best when the prompt defines subject, motion, camera, lighting, and style instead of only stacking adjectives.

Where Wan 2.7 Fits

Ad and product drafts

Describe the product, setting, camera movement, and mood to get a clip that can be reviewed before production.

Social video content

Create opening shots, launch teasers, vertical hooks, and short brand moments for social feeds.

Storyboard testing

Test one character action, environment change, or camera rhythm before expanding the sequence.

Creative direction

Compare aspect ratios, durations, and prompt directions before committing credits to final renders.

What This Wan 2.7 Page Supports

Wan 2.7 text-to-video is most useful when you write one clear shot rather than a full long-form script.

Resolution controls: 720p, 1080p.

Duration controls: 0-10s.

Aspect-ratio controls: 16:9, 9:16, 1:1, 4:3, 3:4.

Audio behavior: silent video generation.

Prompt Examples You Can Adapt

Product shot

A cinematic product video using Wan 2.7, focused on structured scenes with camera movement, negative prompts, and controlled composition. A premium watch rests on black marble, slow macro push-in, soft rim light, subtle reflections, clean commercial finish.

Social opener

A fast social video opener using Wan 2.7, focused on structured scenes with camera movement, negative prompts, and controlled composition. A runner turns a corner through neon rain at night, handheld camera energy, reflections on pavement, dramatic motion blur.

Story beat

A short story scene using Wan 2.7, focused on structured scenes with camera movement, negative prompts, and controlled composition. A scientist opens a glass chamber and discovers a floating blue crystal, slow camera orbit, quiet lab atmosphere, cinematic lighting.

Wan 2.7 FAQ

How should I prompt Wan 2.7?
Use a shot-based prompt: subject, action, setting, camera movement, lighting, and style. This gives the model clearer control signals than broad adjectives alone.
Is Wan 2.7 good for long videos?
This page is designed for short 0-10s generations. For longer stories, generate separate shots and assemble them in editing.
Do resolution and duration affect credits?
Yes. The form shows the current credit estimate based on the selected model, resolution, duration, and audio settings before generation.
https://geminiomni.app/studio/text-to-video/wan-2-7