Sora 2
Sora 2 stands out in character realism, producing lifelike facial features, with generally reliable audio synchronization throughout the scene.
Select the model you want to generate your video with.
Generate high-quality videos with Wan 2.6 using text, images, or reference clips, featuring multi-shot storytelling and native audio synchronization.
Wan 2.6 is built for short-form storytelling rather than isolated single shots. It supports multi-shot video generation, allowing a single prompt to produce structured sequences with clear shot transitions, consistent pacing, and coherent visual flow across scenes.
Unlike models that rely on external post-processing, Wan 2.6 offers native audio and video synchronization. Generated videos can include built-in audio, with speech, music, and sound effects aligned directly to visual motion. The model also supports lip-sync, enabling more natural talking characters and dialogue-driven scenes.
The Wan 2.6 AI video generator supports flexible multi-modal input, extending beyond standard text and image prompts. Users can generate videos through Text-to-Video (T2V), Image-to-Video (I2V), and Reference-to-Video (R2V) workflows, including short 5-second video references for finer control over motion.
A key strength of Wan 2.6 is its ability to preserve character and subject consistency across generated scenes. By using reference videos or images, the model maintains visual identity, appearance, and motion characteristics, enabling coherent results even when generating new scenes or variations.
The Wan 2.6 AI video model supports 5, 10, and 15-second video outputs at 720p and 1080p resolution, rendered at 24 frames per second. It is optimized for longer clips with stable structure, minimizing visual drift and motion artifacts while maintaining smooth playback.
On VideoMaker.me, start by selecting the video generation mode that fits your content needs. You can choose Text-to-Video (T2V), Image-to-Video (I2V), or Reference-to-Video (R2V) to create videos with the Wan 2.6 AI video generator.
After selecting a mode, upload your text prompt, image, or reference video, then click Generate. The Wan 2.6 AI video model processes your input and produces a video with stable motion, synchronized audio, and high-resolution output.
Once generation is complete, preview the result directly in your browser. You can regenerate if needed, or download the final video to share across social platforms or creative projects—all online using Wan 2.6 online on VideoMaker.me.
Using the same prompt, the three AI video generation models show differences in shot transitions, character realism, and audio synchronization.
Sora 2 stands out in character realism, producing lifelike facial features, with generally reliable audio synchronization throughout the scene.
Wan 2.6 delivers the most natural multi-shot transitions, preserves fine visual details across shots, and maintains solid audio–video synchronization.
Kling 2.6 generates smooth motion overall, but its spoken dialogue and character interaction appear less consistent compared to the other models.
Wan 2.1 established the foundation of the Wan AI video model family, focusing on core text-to-video and image-to-video generation. It defined baseline motion quality, scene coherence, and prompt-based control, providing an early but functional framework for AI video creation.
Building on Wan 2.1, Wan 2.2 improved visual consistency and motion stability. It delivered cleaner frame transitions, more reliable structure, and better handling of complex prompts, making the Wan 2.2 AI video model more suitable for practical creative workflows.
Wan 2.5 marked a major step toward production-ready Wan AI video generation. It introduced native audio support, improved temporal alignment, and higher-quality 1080p output, shifting the model focus from experimental generation to real-world video use.
Wan 2.6 is the most advanced model in the Wan AI model series, supporting multi-shot video storytelling and reference-to-video workflows. It offers stronger character consistency, video lengths of up to 15 seconds, and stable high-resolution output for structured video creation.
The Wan 2.6 AI video generator is well suited for creating short narrative videos that require more than a single scene. With built-in multi-shot video generation, users can produce structured clips that include establishing shots, transitions, and closing frames within one generation. This makes Wan 2.6 AI video generator effective for storytelling-focused content where pacing and visual continuity are important.
Thanks to Reference-to-Video (R2V) support, Wan 2.6 enables the creation of videos that maintain consistent characters or subjects across multiple clips. By using reference images or short reference videos, creators can generate new scenes while preserving visual identity. This capability is especially valuable for ongoing video series, branded characters, or repeated visual themes that require consistency over time.
With support for image-to-video (I2V) and text-to-video (T2V) workflows, Wan 2.6 AI video generation can transform static product images or descriptions into dynamic demonstration videos. Stable motion, clear structure, and high-resolution output up to 1080p make it suitable for showcasing product features, interface flows, or visual details without manual video editing.
The Wan 2.6 AI video model supports flexible video lengths of 5, 10, and 15 seconds and maintains smooth playback at 24 frames per second, making it well aligned with short-form video platforms. Combined with native audio integration, this allows users to generate platform-ready clips that balance visual motion, sound, and timing in a single workflow.