Turn Your Ideas into Videos with Wan 2.1 AI

Wan 2.1 is the leading AI video generation model that turns text and images into stunning, high-quality videos.

What is Wan 2.1 AI

Wan 2.1 is an open-source large-scale video generative AI model developed by Alibaba. It supports text-to-video (T2V) and image-to-video (I2V) generation, making it easy for users to create high-quality videos from simple inputs. The wan 2.1 ai model are now fully open-source.

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Features of Wan 2.1 AI

Wan 2.1 is an advanced video generation model designed to deliver high-quality, creative video content with realistic simulations and cinematic effects.

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Complex Motions

Effortlessly produces lifelike videos featuring complex actions, fluid spins, and smooth transitions between scenes.

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Realistic Physical Simulation

Generates videos that accurately simulate real-world physics and realistic object interactions.

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Cinematic Quality

Creates visuals worthy of the big screen, complete with rich textures and varied artistic styles.

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Controllable Editing

Features a versatile editing system that supports precise modifications using video or image.

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Visual Text Generation

Produces text and motion effects straight in video from your input.

8-Bit Racing

Prompt: A retro 8-bit style animation of a car race intro. Pixelated muscle cars, each with distinct colors and designs, line up at a starting line in a vast, pixelated desert landscape. Large, pixelated text "WANX RACING" flashes above the cars in vibrant neon colors, reminiscent of classic arcade game titles. The camera pans across the scene, highlighting the retro aesthetic and text. The background features a simple, pixelated desert landscape with a blocky sunset casting warm, golden hues over the scene. The entire environment is bathed in vibrant, pixelated neon colors, enhancing the nostalgic feel.

Merry Christmas

Prompt: Realist, beautifully decorated Christmas party scene, Christmas trees adorne d with colorful lights and gifts, flames dancing in the fireplace, gingerbread people wearing Christmas hats dancing around the tree, and tables filled with grilled turkey and other delicacies. Exquisite text effects pop up on the screen: "Merry Christmas!" The screen is exquisite, sophisticated, and concise.

Mad Ricing

Prompt: Realist, beautifully decorated Christmas party scene, Christmas trees adorne d with colorful lights and gifts, flames dancing in the fireplace, gingerbread people wearing Christmas hats dancing around the tree, and tables filled with grilled turkey and other delicacies. Exquisite text effects pop up on the screen: "Merry Christmas!" The screen is exquisite, sophisticated, and concise.

Sound Effects & Music

Generates audio effects and music that align seamlessly with the visuals.

8-Bit Racing

Prompt: The camera moves rapidly from far to near, with a low angle of view, standing on a log. In the distant view, a white ferret suddenly appears, playing with the log and jumping into the water, then swimming out of the water and sticking its head out. At this moment, the camera zooms in to show a close-up of the white ferret. Several berry trees next to it are splashed with water, moss and snow cover the ground, and the water surface is covered by green fallen leaves. The background is white birch.

Merry Christmas

Prompt: A group of people is performing a symphony in the Vienna Hall.

Mad Ricing

Prompt: A fragile icicle hanging from a branch snapped and fell, shattering into a thousand pieces on the snow-covered forest floor.

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Comprehensive Analysis of Wan 2.1 and Its Impact | Wan AI

Wan 2.1, part of the broader suite of tools under Alibaba’s Tongyi series, is designed to transform text and image inputs into high-quality videos, excelling in realistic visuals, complex motions, and efficient performance.

Frequently Asked Questions about Wan AI

Get answers to common questions about Wan 2.1 AI video generator, its capabilities, and how to use it effectively.

Ready to Create Your First AI Video with Wan 2.1 AI?

Wan AI makes it easier than ever to generate stunning videos from text.