What is the best prompt format for Wan 2.7?

The best prompts for Wan 2.7 are clear, descriptive, and include details about scene, motion, and style. Adding camera movement, lighting, and subject actions improves results. Well-structured prompts help the model generate more accurate and cinematic videos.

How can I improve video quality in Wan 2.7?

To improve video quality, use detailed prompts and select higher resolution settings when available. Keeping scenes simple and focused also helps maintain consistency. Iterating on prompts and testing variations is the most effective way to refine results.

How long does Wan 2.7 take to generate a video?

Wan 2.7 usually generates videos within seconds to a few minutes depending on length and quality. Short clips are faster, while higher-quality outputs take longer. Generation time may also vary based on system demand and processing load.

Can beginners use Wan 2.7 without experience?

Yes, Wan 2.7 is designed for beginners and does not require technical skills. The interface simplifies video creation into a few steps. Users can start with basic prompts and gradually improve results through simple adjustments.

What types of videos work best with Wan 2.7?

Wan 2.7 works best for cinematic scenes, product videos, and short storytelling clips. It performs well when prompts clearly describe motion and visual style. Structured ideas typically produce more consistent and higher-quality outputs.

Can I edit or regenerate videos in Wan 2.7?

Yes, you can refine your results by adjusting prompts and regenerating videos. Small changes in wording can significantly impact output quality. This iterative process is key to achieving the desired visual result.

Will failed generations use my credits?

No, failed or incomplete generations do not consume credits. If a generation does not finish successfully, the system automatically returns the credits. This ensures you only pay for completed and usable video outputs.

Are my prompts and data saved or used?

No, your prompts and generated videos are not used for model training. Your data remains private and is only processed to generate your requested output. This makes it suitable for both personal and professional use.

Do I need to install or run Wan 2.7 locally?

No, Wan 2.7 runs directly on this platform, so no installation or local setup is required. You can generate videos through the browser without needing GPUs or technical configuration. This makes the workflow fast and accessible.

How do I get started with Wan 2.7 quickly?

To get started, sign up and use the free credits provided for new users. Enter a simple prompt and generate your first video within minutes. This allows you to test the workflow before committing to additional usage.

Can I use Wan 2.7 videos for commercial projects?

Yes, Wan 2.7 outputs can generally be used for commercial purposes such as marketing and content creation. However, usage rights depend on platform policies. It is recommended to review the terms before using content commercially.

Wan 2.7 guideUpdated Apr 2026

How to Use Wan 2.7

Wan 2.7 is Alibaba's latest open-weights-friendly video model with native audio sync, first/last-frame control, and instruction-based editing. This guide walks you through access paths, core modes, prompt patterns that hold up in production, and how it stacks up against the tools you already know.

2,000+

Active creators

To try on-platform

27B

MoE parameters

15s

Max clip length

What Is Wan 2.7 and Why Does It Matter?

Wan 2.7 is a high-performance video generation model from Alibaba's Tongyi Lab. It sits in the same conversation as Sora, Kling, and Luma: cinematic motion, strong language grounding, and workflows that creators can actually ship—not just demo.

What moves the needle for working teams is the combination of controllable boundaries (first and last frames), instruction-style edits, and native audio sync so sound and picture are authored together instead of patched in post.

High quality

Sharp 1080P output with strong texture fidelity and readable fine detail when your prompt stays specific.

Temporal consistency

Smoother motion and fewer identity drifts across frames, especially when you anchor subject and camera.

Prompt adherence

Reliable interpretation of multi-clause prompts: subject, action, lighting, lens, and pacing in one pass.

Advanced camera control

Describe pans, tilts, dolly moves, and handheld energy—Wan 2.7 responds well to explicit camera grammar.

Fast generation

Hosted routes and optimized checkpoints keep iteration loops short so you can refine, not restart.

Multiple aspect ratios

Work in 16:9, 9:16, 1:1, and other common frames without awkward crops if you set ratio up front.

Step-by-Step: Using Wan 2.7 on This Site

Each step below uses a minimal diagram: the highlighted block is what to focus on; grey bars and the side panel stand in for everything else.

STEP 1

Open the on-site Wan 2.7 workspace

Use the site navigation to open the Wan 2.7 generator. You’ll see a compact control column and a large preview—details in later steps; here you only need to land on the page and pick a generation mode.

STEP 2

Input your content

Add reference images (start frame, optional end frame) and write your prompt in plain language. For reference-driven flows, attach image + video + optional audio so identity and timing stay locked.

STEP 3

Set parameters & generate

Set aspect ratio, resolution, and clip length, then generate and refine from the preview.

Open Wan 2.7 generator

How to Use Basic Generation Modes

Wan 2.7 covers the same creative primitives you expect from a modern video model. When Thinking Mode is on, give it a full shot description—not a tag list. Start from the formula below, then open a mode tab to adapt phrasing for text-to-video, image-to-video, and the rest.

Prompt formula

[Subject] + [Action/Motion] + [Environment] + [Lighting] + [Camera] + [Style/Mood]

"A woman walks through a neon-lit Tokyo alley at midnight, slow tracking shot from behind, cinematic, melancholic, shallow DOF"

"A woman in Tokyo at night" — too sparse for Thinking Mode to work with

Cinematic vocabulary: Name lens behavior: dolly in, handheld, arc shot, slow push, whip-pan—verbs the model can translate into motion.
Negative prompts: When your stack allows (API, node graphs, or advanced UI), add negatives like “no blur,” “no watermark,” “no extra fingers.”
Product & hero shots: Spell out surface material, background separation, key/fill/rim lighting, and camera height—precision beats adjectives alone.

Describe the shot: subject, environment, lighting, lens, and motion. Wan 2.7 rewards full sentences over keyword soup.

"A cinematic wide shot of a rainy neon city at night, slow dolly-in, reflections on wet asphalt, anamorphic lens flare, highly detailed, 4K look."

"A curious cat in a minimal space suit walking across lunar regolith, low gravity bounce, soft rim light, photoreal fur, IMAX-style clarity."

Lock aspect ratio and target duration before you iterate—changing geometry late costs more than changing adjectives.

Write Prompts That Actually Work

Great prompts read like a shot list a DP would recognize: one hero idea, a camera decision, and a few constraints that prevent the model from inventing random props.

Key tips

Be specific about lighting direction, quality, and color temperature—not just “nice light.”
Describe movement in plain verbs: drift, whip-pan, orbit, handheld micro-shake, slow push-in.
Add production cues such as “cinematic,” “highly detailed,” or “IMAX-scale” when you want extra crispness (use sparingly).

Quick checklist

Name a clear subject and what they are doing.
Describe background, time of day, and spatial layout.
State the visual style: photoreal, stylized 3D, anime-inspired, documentary, etc.

Wan 2.7 Generated Video Examples

Real generation clips from the Wan 2.7 family—hover or tap a tile to preview motion. Use them as style references when you write your own prompts.

Cinematic Lighting

Sunny Garden Rose

A woman in a blue lace dress plucks a rose petal in a sunlit garden.

Motion Dynamics

Floating Water Portrait

High-angle close-up of a woman with short brown hair floating in water.

World Building

Steampunk Victorian Alley

Neon mist and robots in a steampunk Victorian alley at night.

Multi-Character

Roman Plaza Debate

Roman actors in togas debate around a marble table in a sunlit plaza.

Character & Creature

Donkeys in Tall Grass

A girl in a floral dress with braids stands among fluffy donkeys in tall grass.

Stylized Aesthetic

Felt Craft Skyway

Felt-style rainbow yarn bridge, button car, and quilted sky in one whimsical scene.

Platform demo

Gallery sample — motion study

Extra hosted example—use it to study pacing, transitions, and how prompts read on real output.

Lighting & mood

Gallery sample — atmosphere

Another gallery clip for lighting and mood references before you lock your own shot list.

Performance

Gallery sample — character beat

Third bonus example from the same on-platform library—compare framing against your storyboards.

Frequently Asked Questions

Quick answers on using the generator, prompts, quality, credits, privacy, and commercial use on this platform.

To use Wan 2.7, enter a text prompt or upload an image on this platform and start generation. The system automatically processes your input and creates a video. You can adjust settings like style or length to refine the final output.

Start Generating with Wan 2.7 Today

Try the model on our platform or skim the product hub for presets, examples, and pricing.

Try Wan 2.7 Read documentation