Wan 2.6 links multiple shots into a single coherent story. You describe the setting, characters, and rough beats; the model turns that outline into a sequence of connected clips with natural pacing and scene changes.
It keeps track of who is on screen, where the camera should move, and how each moment leads into the next. The result feels less like a single random clip and more like a short, self-contained sequence you can post directly or refine further in an editor.
Switch between Text-to-Video, Image-to-Video, Reference-to-Video, and Start–End frame control in one place. Use a single portrait to define your hero, a mood board for style, and a written description to steer motion and scene order.
On top of GoEnhance’s AI video generator, Wan 2.6 becomes a flexible layer: it can extend a static frame into motion, match a character across angles, or assemble several short beats into a compact edit suitable for social feeds and campaigns.
| Prompt | Generated Video |
|---|---|
A close-up of a young woman walking through a softly lit night market. The camera follows her as she turns to look at different stalls, her hairstyle, jacket, and accessories staying consistent across each angle. Lantern reflections glide across her face while her eyes blink naturally and her expression shifts from curiosity to a gentle smile. |
| Prompt | Generated Video |
|---|---|
A wide shot gliding over a coastal town at golden hour, cutting to a medium shot of the same street from ground level. The architecture, signage, and color of the sky remain consistent between shots while the camera path and depth of field change smoothly. |
| Prompt | Generated Video |
|---|---|
A three-shot sequence of a small robot exploring a rainy alley: first a wide shot of the alley, then a tracking shot behind the robot, then a close-up of its face as droplets roll down its metal surface. The pacing follows a calm, curious mood with each shot lasting two seconds. |
| Feature | Wan 2.6 | Sora 2 |
|---|---|---|
| Signature strengths | Optimized for short, multi-shot sequences with tight character and style consistency across cuts | Physics-focused world simulation, strong handling of complex environments, and support for synchronized audio in supported workflows |
| Prompt interpretation | Balances scene description with shot-level control for social-ready edits and compact stories | Interprets detailed environment and action prompts with high physical plausibility |
| Camera motion | Designed for smooth, grounded camera paths and seamless transitions between related shots | Wide range of camera motion and scene types, from abstract to realistic |
| Identity consistency | Focus on matching character look and wardrobe when changing angles or distance | Strong identity retention, especially in longer continuous clips |
| Best use case | HD-focused output tuned for short-form content, ads, and episodic social posts | Model-level support for higher resolutions and longer clips in lab and partner setups |
| Release window | 2025 Q4 GoEnhance integration building on Wan 2.x research line | Ongoing releases from 2025 by OpenAI and partners |
Outline your story, drop in a few images, and let Wan 2.6 build connected, HD-ready scenes you can publish or refine.
Start Creating