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Multimodal Video

Wan 2.7

A flexible model for text-to-video and image-to-video with precise multimodal creative control.

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MODEL INTRODUCTION

What is Wan 2.7?

Wan 2.7 is presented in Pollo AI's current model catalog as an option for stylized sequences, image animation and diverse visual experiments. This guide focuses on practical creative selection rather than treating any model as the best choice for every project.

Creative strengths

  • Text and image inputs
  • Multimodal synthesis
  • Flexible visual direction

How to prompt Wan 2.7

Lead with the visible subject and action. Add scene, shot type and camera behavior next, then finish with lighting, mood and only the constraints that materially affect the shot. For image-to-video, describe motion rather than repeating every visual detail already present in the source frame.

Wan 2.7 AI video generator: subject + motion + shot + camera + light + mood

Build a connected workflow

Create a source frame with an AI image generator, animate it through the AI video generator workflow, and compare alternatives in the model directory.