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Wan 2.6 synthesizes multi-shot stories using video and audio references to maintain character and style consistency across scenes. Try Wan 2.6 on Pollo AI for free!
Wan 2.6 is strong at dynamic AI video compositions, allowing users to generate stable scenes with multiple camera movements.
This, paired with its ability to interpret key information in simple prompts intelligently, ensures it can adequately break down a varied sequence of shots. This lets users express their creative vision more easily with cinematic-level results.
| Prompt | Output Video |
Shot 1 – A woman in formal wear walks confidently down a busy city street, glancing at her phone. Shot 2 – A man on a sleek electric bike zooms toward her. Shot 3 – She looks up, smiles, and effortlessly jumps onto the bike. The camera tracks them as they ride off together. |
The new Wan 2.6 release expands its multi-modal input capabilities by including video referencing, making it even easier for users to achieve precise creative control.
Based on prompts, users can upload videos to reference visual style, objects or humans, even across single-person or two-person collaborative scenes. Furthermore, it can analyze voice timbre for a full tonal reference.
| Reference Video | Prompt | Output Video |
| Based on the character in the reference video, create realistic footage of a rugged pirate with a weathered face and long dreadlocks walking cautiously through a dark cave, his torch flickering and casting shadows on the jagged walls. |
Compared to its predecessors, Wan 2.6 takes visual storytelling to the next level by increasing spatiotemporal content capacity up to 15 seconds in duration.
As a result, users can now create longer videos with more comprehensive narratives. In turn, this means exploring more cinematic ideas and concepts per generation that will better engage audiences. Developers can build longer multi-shot workflows with the Wan 2.6 API.
| Prompt | Output Video |
Shot 1 – A ballerina and male dancer stand center stage, bathed in spotlight as the orchestra swells. Shot 2 – The male dancer extends his hand, and the ballerina reaches out in a graceful, synchronized moment. Shot 3 – He lifts her into the air, her body arched mid-flight, bathed in the spotlight. |
Select the Wan 2.6 Video Model
Head to Pollo AI image to video generator and choose Wan 2.6 from the dropdown list.
Input Scene Details
Describe the visual scene via text prompt and/or upload a reference image or video.
Generate Your Video
Click ‘Create’ and be patient while our tool prepares your video for download.
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Wan 2.6 is the latest and most powerful AI video model of Wan AI. This new launch brings new advancements that focus on helping users create longer and more precise cinematic narratives using simple prompts and multimodal inputs that now includes video referencing.
Wan 2.6’s multi-shot capabilities open up new creative possibilities for users to stretch their cinematic imagination. With access to video referencing, richer camera movements, and a longer video duration, it’s now easier than ever to achieve stunning, directorial-level visuals.
Yes. You can sign up for an account on Pollo AI to access the free trial plan. With that, you will get limited credits to generate videos with the Wan 2.6 model at no cost. For unlimited generations, you will need to subscribe to a paid plan.
Wan 2.6 AI video model is a versatile AI model, so you can generate a wide range of videos, be it cinematic, photorealistic, 2D animation, anime, 3D visuals, and more. Since you can freely input reference images and videos, this makes it even easier to imitate any specific aesthetic you have in mind.
Yes. You can produce videos with dialogue, sound effects, and background ambience just like its predecessor Wan 2.5. The main difference is that Wan 2.6 support video inputs, allowing you to reference voice timbre in existing dialogue scenes for more precise native audio rendering.
Wan 2.6 makes multi-shot storytelling possible, so it helps to be as detailed in your prompting as you can. Try to describe a clear sequence of events and the exact changes in camera perspective that you want across each shot for an accurate and dynamic visual narrative.
