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Pavo centralizes text, images, and video references in an AI creation workspace, offering video generation, short story scripts, storyboarding, an infinite canvas, and access to asset projects, enabling you to organize visual content around your ideas and reference materials.

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What is Pavo?

Pavo’s homepage workspace lets you combine text, images, and video references to describe the content you want to generate, then select a video creation mode along with the corresponding model settings. You can organize reference relationships by task—for example, specifying which visual elements you’d like to retain or which motion directions to emulate—though the level of fine-grained control varies depending on the model.

The platform also features short storylines, storyboards, an infinite canvas, and dedicated asset and project hubs, allowing you to organize your assets alongside sequential creative steps. The discovery, canvas, and short‑story content in Pavo.Show can serve as references for style and workflow, but public works should not be taken as a guarantee of consistent quality that can be replicated every time.

It’s ideal for exploring visual content around stories, short films, or multi‑asset projects. Before submission, clearly define the role and licensing of reference materials, and after completion, verify consistency among characters, text, actions, and shots. Task specifications, activity discounts, and account benefits are subject to what’s displayed in the current workspace.

Key features

  • Multi-media input: a combination of text, images, and video references.

  • Video creation: Set up tasks according to the current model and mode.

  • Continuous organization: short dramas, storyboards, and an infinite canvas entry point.

  • Asset Management: Navigation for Assets, Projects, and Portfolio Cases.

Use cases and audience

Creators, designers, and content teams who need to organize stories, video references, and multi-step visual creations.

  • Combine images and video references to conceptualize the shot.
  • Organize storyboard assets for stories or short dramas.
  • Manage multiple visual directions in the canvas.
Input

Text prompts, reference images or videos, and the generation requirements supported by the current model.

Output

Generated videos or images, storyboards, and creative assets in the canvas.

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