Smooth, coherent AI video generation
Wan Text to Video is the latest generation AI video model (version 2.7) that transforms your written descriptions into fully realized video clips. Whether you're a filmmaker looking to previsualize a scene, a social media creator crafting eye-catching content, or a designer exploring motion concepts, this model turns your ideas into dynamic, high-quality video with enhanced motion smoothness, superior scene fidelity, and greater visual coherence.
At its core, Wan Text to Video works by reading your text prompt — a description of the scene, mood, action, and visual style you want — and generating a video that brings those words to life. You simply describe what you envision, and the model handles the complex work of creating fluid motion, realistic lighting, coherent environments, and consistent subjects across every frame.
Resolution and Format Options
Wan Text to Video supports output resolutions up to 1080p, giving you crisp, high-definition results suitable for professional use. You can also choose 720p if you prefer faster results or smaller file sizes. The model offers a versatile set of aspect ratios to match virtually any platform or creative need: standard widescreen (16:9) for cinematic and YouTube-style content, vertical (9:16) for mobile-first platforms like Instagram Reels and TikTok, square (1:1) for social media feeds, and classic formats (4:3 and 3:4) for more traditional or portrait-oriented compositions. This flexibility means you can create content tailored to your exact delivery format without needing to crop or reframe after the fact.
Flexible Video Duration
You have precise control over the length of your generated videos, ranging from 2 seconds all the way up to 15 seconds, adjustable in one-second increments. This range is ideal for creating everything from quick animated loops and social media clips to longer scene previews and motion concept pieces. The default duration is 5 seconds, which offers a great balance for most creative explorations.
Audio Integration
One of the standout features of Wan Text to Video is its audio capability. You can provide your own audio file (in WAV or MP3 format, between 3 and 30 seconds long, up to 15 MB) to drive the video generation. This opens up powerful possibilities for lip-sync content, music-driven visuals, and audio-reactive scenes. If you don't supply audio, the model can automatically generate matching background music for your video, adding an extra layer of polish to your output without any additional effort.
Intelligent Prompt Enhancement
The model includes a built-in intelligent prompt rewriting feature, enabled by default, that takes your initial description and expands it to produce richer, more detailed results. This is especially helpful if you're writing shorter or more casual prompts — the model intelligently fills in cinematic details, visual cues, and stylistic elements that help produce a higher-quality final video. You can see exactly what the enhanced prompt looks like after generation, giving you insight into how the model interpreted your vision. If you prefer to maintain full control over your exact wording, you can turn this feature off.
Negative Prompts for Precision
To refine your results further, Wan Text to Video supports negative prompts — a way to specify what you don't want to see in your video. For example, you might tell the model to avoid "low resolution, errors, worst quality, low quality" or any other visual artifacts and styles you want to steer clear of. This gives you an extra layer of creative control, helping you guide the output away from unwanted elements and toward your intended aesthetic.
Reproducible Results
For creators who need consistency — whether you're iterating on a concept, creating a series of related clips, or collaborating with others — the model supports a seed value for reproducibility. By using the same seed alongside the same prompt and settings, you can regenerate identical results, making it easy to fine-tune your approach or recreate a specific look.
Stylized and Transformative Content
Wan Text to Video is particularly well-suited for stylized content creation and visual transformation. Whether you're going for photorealistic cinematics, animated aesthetics, fantasy environments, or abstract visual storytelling, the model is designed to handle a wide range of visual styles with coherence and artistry. Its lip-sync capabilities also make it a compelling tool for character-driven content where audio and visual expression need to align.
Who Is This For?
This model is ideal for a broad range of creative professionals and enthusiasts. Filmmakers and video editors can use it for rapid prototyping and previsualization. Social media creators can generate scroll-stopping content across any platform format. Motion designers can explore animated concepts without touching traditional animation software. Musicians and audio artists can create visuals that respond to and complement their sound. And anyone with a creative vision can experiment with bringing their ideas to life in motion — no video production experience required.
Content Safety
Wan Text to Video includes a built-in content moderation system that is enabled by default, helping ensure that both inputs and outputs remain appropriate. This provides peace of mind when generating content, particularly for professional or public-facing projects.
With its combination of high-definition output, flexible formatting, audio-driven generation, intelligent prompt enhancement, and smooth motion quality, Wan Text to Video represents a powerful creative tool for turning written ideas into polished, dynamic video content.
A woman kneeling in darkness, illuminated by a warm, radiant beam of light emerging from her raised hand.
Beschreiben Sie Ihre Videoszene mit Bewegung, Kamerawinkeln und Stimmung
Modell erzeugt kinematische Bewegungen mit natürlicher Physik und Beleuchtung
Laden Sie Ihr produktionsreifes Video herunter und teilen Sie es
Leverages the model's superior scene fidelity to render complex atmospheric dynamics — rolling storm clouds, rain impact on water, and dramatic lighting shifts — showcasing large-scale environmental motion and weather transitions.
Tests the model's tracking shot capabilities and motion rendering with a fast-moving vehicle, desert heat distortion, and dramatic lens work — combining speed, landscape, and cinematic storytelling in a single continuous sequence.
Pushes Wan 2.7's motion smoothness to its limits with underwater physics — flowing fabric, hair suspension, light caustics, and slow graceful movement — demonstrating the model's ability to render non-standard environments with physical accuracy.
“Cinematic reveal of a sleek black luxury sports car in a dark studio. Camera starts close on the chrome badge, slowly pulling back while orbiting 180 degrees around the vehicle. Dramatic rim lighting gradually intensifies, highlighting the car's sculptural curves and glossy finish. Reflections dance across the body as the camera moves. Dust particles float in volumetric light beams. Final wide shot reveals the full silhouette against a gradient backdrop. 8 seconds, smooth motion, 24fps cinematic quality.”
Wechseln Sie heute zur durch Reasoning gesteuerten Synthese

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