The Problem
Current AI video generators struggle with audio integration. Most tools generate silent videos, forcing creators to manually add and sync audio in post-production. This breaks the creative flow and adds hours of work. Even when audio is supported, lip-sync is often off, creating an uncanny valley effect.
What We Built
Wan 2.6 is a multimodal AI platform that generates videos at 1080p resolution (24fps) with audio baked in from the start. Key features:
Text-to-video: Describe what you want, get a video with synchronized audio
Image-to-video: Animate static images with motion and sound
Native audio sync: Audio isn't added afterwards—it's generated as part of the video creation process
Precise lip-sync: Character mouth movements match the audio naturally
AI image generation: Create images when you need them for video inputs
How It Works
We're using a breakthrough approach where audio and visual generation happen in a unified pipeline rather than as separate steps. This allows the model to understand the relationship between sound and motion from the ground up, resulting in more natural synchronization.
The system runs at 1080p (full HD) at 24fps, which hits the sweet spot between quality and generation speed. We've optimized for realistic motion and coherent multi-shot storytelling—something earlier models struggled with.
Why Open Source?
We believe generative AI works best when the community can inspect, improve, and build upon it. Making Wan 2.6 open-source means:
Transparency in how the model works
Community contributions to improve quality
Easier integration into creative workflows
No vendor lock-in for creators
Use Cases We've Seen
Early users are creating:
Marketing videos from product descriptions
Animated social media content
Concept visualizations for pitches
Educational content with narration
Character animations with dialogue
Technical Details
The model is built on a multimodal architecture that processes text, image, and audio signals simultaneously. We're generating at 1080p resolution with 24fps frame rate, which provides cinematic quality while keeping generation times reasonable.
Try It Out
The platform is live at https://wan26.io. We're offering free access to let people experiment and give us feedback. We'd love to hear what you think—especially if you run into edge cases or have ideas for improvements.
What's Next
We're working on:
Longer video generation (currently optimized for shorter clips)
More control over camera angles and scene composition
Better handling of complex multi-character scenes
API access for developers
We'd love your feedback! What would you use this for? What features are missing? Any creative use cases we haven't thought of?
Questions we expect:
How does this compare to Runway/Pika/Sora?
Our main differentiator is native audio sync. Most competitors generate silent videos or add audio as a post-process. We also prioritize being open-source.
What are the limitations?
Like all AI video generators, we occasionally produce artifacts or inconsistent motion. Longer videos are harder to keep coherent. We're actively working on these.
Can I use this commercially?
Yes, the open-source nature means you can use generated content in commercial projects (check our license for specifics).
Wan 2.6 – Open-source AI video generator with native audio sync · HackerTrans
What We Built Wan 2.6 is a multimodal AI platform that generates videos at 1080p resolution (24fps) with audio baked in from the start. Key features:
Text-to-video: Describe what you want, get a video with synchronized audio Image-to-video: Animate static images with motion and sound Native audio sync: Audio isn't added afterwards—it's generated as part of the video creation process Precise lip-sync: Character mouth movements match the audio naturally AI image generation: Create images when you need them for video inputs How It Works We're using a breakthrough approach where audio and visual generation happen in a unified pipeline rather than as separate steps. This allows the model to understand the relationship between sound and motion from the ground up, resulting in more natural synchronization.
The system runs at 1080p (full HD) at 24fps, which hits the sweet spot between quality and generation speed. We've optimized for realistic motion and coherent multi-shot storytelling—something earlier models struggled with.
Why Open Source? We believe generative AI works best when the community can inspect, improve, and build upon it. Making Wan 2.6 open-source means:
Transparency in how the model works Community contributions to improve quality Easier integration into creative workflows No vendor lock-in for creators Use Cases We've Seen Early users are creating:
Marketing videos from product descriptions Animated social media content Concept visualizations for pitches Educational content with narration Character animations with dialogue Technical Details The model is built on a multimodal architecture that processes text, image, and audio signals simultaneously. We're generating at 1080p resolution with 24fps frame rate, which provides cinematic quality while keeping generation times reasonable.
Try It Out The platform is live at https://wan26.io. We're offering free access to let people experiment and give us feedback. We'd love to hear what you think—especially if you run into edge cases or have ideas for improvements.
What's Next We're working on:
Longer video generation (currently optimized for shorter clips) More control over camera angles and scene composition Better handling of complex multi-character scenes API access for developers We'd love your feedback! What would you use this for? What features are missing? Any creative use cases we haven't thought of?
Questions we expect:
How does this compare to Runway/Pika/Sora? Our main differentiator is native audio sync. Most competitors generate silent videos or add audio as a post-process. We also prioritize being open-source.
What are the limitations? Like all AI video generators, we occasionally produce artifacts or inconsistent motion. Longer videos are harder to keep coherent. We're actively working on these.
Can I use this commercially? Yes, the open-source nature means you can use generated content in commercial projects (check our license for specifics).