veo-3/image-to-video
Realistic motion, dynamic camerawork, and improved physics.
To fully leverage the Wan 2.6 Text to Video Multi-Shot capability, use the "Timeline Structure" method. This allows you to direct the video like a scriptwriter.
The Formula: [Global Context] + [Shot #] [Timestamp] [Action]
[0-5s]) for each cut.[0-10s]. Do not write instructions for [10-15s] if the generation limit is 10s.Realistic motion, dynamic camerawork, and improved physics.
Generate realistic videos with synced audio from text using OpenAI Sora 2.
Build a scene from 1–6 images and animate it into a video.
Create lifelike cinematic video clips from prompts with motion control.
Generate lifelike motion visuals fast with Dreamina 3.0 for designers.
Turn static images into fluid, realistic 1080p motion with smart style control.
Wan 2.6 Text to Video is a multimodal AI platform developed by Wan AI that allows users to create 1080p cinematic videos directly from natural language prompts. With its text-to-video feature, it can interpret descriptive text about scenes, subjects, and motion to produce coherent video clips complete with lip-sync and audio synchronization.
Wan 2.6 Text to Video operates on a credit-based system accessible through the Runcomfy AI playground. Each text-to-video generation consumes a set amount of credits depending on model size (5B or 14B). New users typically receive free trial credits after registration.
Compared to Wan 2.1 or Wan 2.2, Wan 2.6 Text to Video delivers improved temporal consistency, higher visual realism, and better reference video integration. Its advanced text-to-video engine supports multi-shot storytelling, multilingual audio, and native lip-sync, outperforming earlier iterations and many competitors like Sora2 or Veo.
Wan 2.6 Text to Video is designed for marketers, filmmakers, educators, and digital creators seeking to produce short-form, cinematic clips. Common text-to-video use cases include social media content, ads, product showcases, and educational videos in multiple languages.
Videos produced using Wan 2.6 Text to Video maintain 1080p resolution at 24fps, offering a natural cinematic aesthetic. The text-to-video renderings showcase stable motion, lighting accuracy, and precise lip-sync, ensuring professional-level output suitable for commercial use.
Yes, Wan 2.6 Text to Video supports multilingual audio and text rendering directly in its text-to-video pipeline. This means it can generate dialogue and on-screen text across multiple languages while preserving lip-sync accuracy.
Wan 2.6 Text to Video supports reference video and images to guide motion style, framing, and aesthetics. This feature enhances text-to-video precision by allowing users to control look and movement continuity across shots.
While powerful, Wan 2.6 Text to Video currently supports clips up to about 15 seconds. Overly long or vague prompts can lead to less consistent results in its text-to-video generation, so concise and descriptive inputs yield the best performance.
Yes, Wan 2.6 Text to Video is accessible via the Runcomfy AI playground, which functions smoothly on mobile browsers. Users can log in, enter prompts, and initiate text-to-video generations directly on their phones or tablets.
All outputs created with Wan 2.6 Text to Video include full commercial rights, allowing users to publish and monetize their text-to-video content across digital platforms without additional licensing.
RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.