Wan AI Video: A Review of Alibaba's Video Model (2026)

This is a breakdown of what Wan does well, which version to pick and why it is worth a look when you need a few seconds of realistic video.

TL;DR

What Wan is. A video model family from Alibaba. Alibaba opened the weights of Wan 2.1 (models with 14B and 1.3B parameters), which is a step neither OpenAI (Sora) nor Runway took.

Versions in Pixyn. Wan 3.0 (text-to-video, image-to-video, reference video and keyframes, up to 1080p), Wan 2.7 and Wan 2.6 (clips up to 15 seconds in 720p or 1080p), Wan 2.2 (including Animate and Speech-to-Video) and the VACE tools for editing existing video. Wan also has an image line: Wan 2.5, 2.6, 2.7 and 2.7 Pro.

Where it is strongest. Realistic physics of bodies and fabric. Image-to-video with precise keyframe control. Long scenes in one shot. A cinematic style (low angles, slow motion, dramatic lighting).

Who it suits. Marketers who need long dance scenes. Designers who need realistic people in motion. Creators who want to animate a ready picture. Short clips for TikTok and YouTube Shorts.

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Introduction

Alibaba has been actively entering the video generation market over the last two years. While Western models stayed closed, Alibaba answered differently: in early 2025 it released Wan 2.1 with open weights (the model can be run on your own server if you have a GPU), and in parallel developed newer versions available through an API.

What this means in practice: Wan gives quality close to the top video models, a wide set of modes and a moderate price in tokens. In this article we break down what Wan can do and in which tasks it wins.

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Wan versions in the Pixyn catalog

Wan 3.0: the new generation

Text-to-video, image-to-video, reference video and keyframes (a start and an end frame) in one line. Resolutions 480p, 720p and 1080p, formats 16:9, 4:3, 1:1, 3:4 and 9:16 or adaptive to the source image. Wan 3.0 can generate the clip with sound.

Wan 2.7 and Wan 2.6: long clips

Text-to-video and image-to-video in 720p or 1080p. Wan 2.7 lets you choose the duration from 2 to 15 seconds, Wan 2.6 offers 5, 10 or 15 seconds. Both lines also have reference video, Wan 2.7 has video editing, and Wan 2.6 Flash is the faster variant.

Wan 2.2: animation and speech

Wan 2.2 14B makes text-to-video and image-to-video up to 720p. Its special modes: Animate Move transfers the motion of a person from a reference video onto your character, Animate Replace puts your character into a ready video, and Speech-to-Video animates a person to an audio track.

VACE and tools

Wan VACE works with existing video: depth, pose, inpainting, outpainting and reframing. Next to it are Wan Motion, Wan Effects and Wan Enhancer, which brings a clip up to 720p or 1080p.

Wan 2.1: open weights

The open-weights base version from early 2025: models with 14B and 1.3B parameters that you can run on your own hardware and fine-tune on your own data. The code and weights are on GitHub (Wan-Video/Wan2.1). For most users it is simpler to work through the catalog than to set up a local launch.

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What Wan does best

1. Realistic physics of motion

Wan is especially good at what physicists call "secondary motion": the movement of hair, clothes and muscles that follows the main movement of the body.

An example: a person jumps, the hair flies up with a slight delay, the clothes sway. Many video models render this schematically; Wan does it naturally.

Where to use it:

• Dance videos (hip-hop and contemporary)
• Athletes in motion (a jumper, a gymnast, a boxer)
• Scenes with fabric, curtains, flags
• Silky hair, flowing dresses (fashion, beauty)

2. Image-to-video with keyframe control

You upload a picture and tell the model how far the motion may go from this frame, and Wan animates the picture without breaking the composition. Wan 3.0 Keyframes goes further: you set the first and the last frame, and the model builds the transition.

This works especially well with uniform scenes: portraits, architecture, nature. A ready shot from AI Photoshoots in Pixyn (a photo of a person in an interior) makes an excellent starting frame for image-to-video in Wan.

How it works:

1. Generate a person in an interior with FLUX or in AI Photoshoots
2. Upload the picture to Wan as the starting frame
3. Write a prompt: "Slow head turn to the left, a slight smile"
4. Wan animates it without distorting the face and pose

3. Long scenes in one shot

Up to 15 seconds of video without cutting and stitching (Wan 2.6 and 2.7) is a lot for 2026. That is enough for most scenarios:

• A dance from start to finish
• A long walk through a room
• A slow-motion action scene
• An actor's monologue within one frame

4. Cinematic style

This is the most "Chinese" trait of Wan. The model understands prompts in the language of cinematography at half a word:

• Low-angle shots (the camera below, so something looks more majestic)
• Rack focus (the focus jumps from one object to another)
• Slow motion with the right shutter speed
• Crisp shadows and dramatic lighting
• Dynamic transitions between shots

5. Speech and sound

Wan 2.2 Speech-to-Video animates a person to a given audio track, and Wan 3.0 can generate the clip with sound right away. For a short clip with a speaking character this works without a separate lip-sync step.

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Use cases: when Wan is the best choice

1. Long dance scenes

You need 8 to 15 seconds of a person dancing in one shot. Realistic physics of hair, clothes and muscles is exactly what Wan is about.

A prompt example:

A woman dances a contemporary dance in a bright studio, her hair flowing,
her dress swaying, the camera moves slightly following the body.
Slow motion, 30 fps equivalent.

The result: natural physics without artifacts.

2. Realistic people in motion

Portrait videos, a person walking through an interior, gestures, facial expressions: Wan handles all of this very well.

An example: a marketer needs a video where an ordinary guy walks through an office, turns to the camera and smiles. That is 6 to 8 seconds, and Wan handles it perfectly.

3. Image-to-video: from a picture to an animation

If you have a ready picture (generated with FLUX or taken from a photoshoot), Wan can bring it to life with high accuracy.

An example workflow:

1. Generate a photo of a person in an interior in AI Photoshoots (pick a reference, an auto prompt, a photo, generate)
2. Download the picture
3. In Wan choose image-to-video and upload the picture
4. Write: "Slow head turn, a calm facial expression, the hand goes down"
5. Get the finished video

4. Nature and architecture scenes

Slow panoramas, movement through a landscape, a camera gliding along a building: Wan is stable and looks cinematic.

An example: a drone flight over a forest, a slow panoramic shot of a mountain range, a camera moving through a museum corridor.

5. Slow-motion shots

Slow motion is one of Wan's strengths. The model understands well how water, hair and fabric should look in slowed-down playback.

An example: drops of water falling, a jumper in the air, ripples on a pond.

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AI Photoshoots + Wan: how to use them together

Here is a concrete workflow that saves you hours.

Step 1: create the starting frame

Go to AI Photoshoots in Pixyn. It is a visual builder where in 4 steps you create a person in an interior (reference, auto prompt, photo, generation):

• Choose the pose (standing, sitting, lying)
• Choose the clothes (casual, formal, sport)
• Choose the interior (office, apartment, beach)
• Add a prompt: "A young woman, a serious expression, a linen shirt"
• Generate

The result is a ready photo of a person in a setting. This will be the starting frame.

Step 2: download the picture

Step 3: upload it to Wan

In the Pixyn Studio choose a Wan model and the image-to-video mode:

• Upload the picture
• Write a prompt: "The woman slowly turns her head to the left, searching for something with her eyes, then looks into the camera"
• Choose the duration and the resolution (720p or 1080p)
• Press Generate

Step 4: get the result

A video where a real-looking person comes alive and moves naturally: the hair flows correctly, the clothes sway, the muscles work as they should. The finished 1080p clip can go to YouTube or TikTok.

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What it costs in tokens

Wan: from 8 tokens per clip and from 2 per image. Wan has both lines, and the image line costs less than the video one.

The studio shows the exact charge before you run it, so check against it rather than the article: the catalog gets updated. Pack contents are on the pricing page.

FAQ

Can I run Wan 2.1 locally?

Yes, Wan 2.1 has open weights. You need a GPU (the larger 14B models require a powerful card with a lot of video memory), Python, PyTorch and experience running diffusion models. The code is on GitHub (Wan-Video/Wan2.1). For most users it is simpler to use the newer versions in the Pixyn catalog.

Is there a Wan 3?

Yes: Wan 3.0 is already in the Pixyn catalog. It covers text-to-video, image-to-video, reference video and keyframes, up to 1080p.

Can Wan videos be used commercially?

Yes, for advertising, product videos and social media content. Plans and terms are on the pricing page.

Why does Wan reject some prompts?

Alibaba's API has a built-in safety filter: violence, explicit scenes, some political and religious topics and weapons are restricted. If a prompt is rejected, rephrase it more softly.

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Conclusion

Wan from Alibaba in 2026 is a broad video family: from long clips up to 15 seconds to animating a character and editing existing video. In scenarios with realistic physics, image-to-video and cinematography it works on a par with the top models.

Main advantages:

• Long scenes in one shot (up to 15 seconds)
• Realistic physics and cinematic effects
• Many modes: from text, from a photo, from a reference, keyframes, animation, editing
• A moderate price in tokens

If you need long dance scenes, realistic people in motion or want to animate a ready photo, Wan in Pixyn is an excellent choice.

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Ready to try it yourself?

Option 1: start with AI Photoshoots, then image-to-video

If you need a starting picture for animation, use the visual builder AI Photoshoots. Choose a pose, clothes and an interior, add a description and get a realistic photo. Then upload it to Wan as image-to-video.

Sign-up takes 30 seconds via email, Telegram or Google.

Option 2: write a prompt for Wan directly

If you already have an idea for a video (a dance, a nature scene, a portrait video), create it right in Pixyn: choose a Wan model, text-to-video, write a prompt and get the result.

Create your first video in Wan →

Not sure it is right for you? See the Kling guide and the photo-to-video guide to compare video models.

Questions? Write to @pixyn_support on Telegram.