We've built Wan 2.6, an AI video generation platform focused on reference consistency, multi-shot narratives, and production-grade quality for creators who need reliable, editable video workflows—not just random outputs.
Key capabilities:
Reference Video Generation: Use existing videos as style/motion references. Maintain consistent visual language across projects and compete with Sora 2 on reference-based quality.
Multi-Shot Narratives: Create complex scenes with smooth transitions, sequential storytelling, and dynamic camera work that actually makes sense.
Production Quality: 1080p at 24fps with improved motion stability, detail preservation, and temporal consistency. Longer durations that meet professional standards.
Native Audio-Visual Sync: Precise lip-sync and audio alignment across multiple languages. Generate complete videos with voiceover, music, and matched lip movements in one pass. Supports 16:9, 9:16, and 1:1 aspect ratios.
Why we built this:
Most AI video tools produce isolated clips with inconsistent style and broken continuity. Wan 2.6 focuses on coherent, reference-driven workflows for marketers, educators, filmmakers, and content creators building multi-shot or serialized video content.
We'd love feedback on:
How reference consistency would change your video production workflow
What integrations or API features would make this more useful
Use cases we haven't considered
Try it here: https://www.wan2-6.com/?i=d1d5k