AI Video Workflow: How to Create AI Videos With Consistent Characters
Top View Canvas is an AI video creation tool that maintains character and visual consistency across multiple scenes by organizing story, characters, environments, and style assets on a single canvas before generating video. The platform uses a storyboard-first approach where users build story structure and approve keyframes before motion generation, enabling easier iteration and better control over final output.
Summary
The transcript describes Top View Canvas, an AI video workflow tool designed to solve the common problem of character inconsistency in AI-generated videos. The tool operates on a canvas-based system similar to code editors like Cursor, organizing all project elements in one workspace rather than scattered across multiple prompts and tabs.
The workflow begins with a conversation between user and AI agent to establish the story foundation. Users input a simple prompt describing character, conflict, and outcome, which the agent transforms into a structured story with clear narrative beats. This story draft can be adjusted through plain English conversation before proceeding.
Once the story is approved, the canvas populates with asset cards covering five key areas: style (overall visual look), environments (locations like apartments, schools, stadiums), characters (with visual references), objects (important props), and scenes. Each asset card serves as a reference point that the AI agent can access when generating content, maintaining consistency throughout the project.
The platform emphasizes a storyboard-first approach where visual keyframes are created and reviewed before motion generation. Users can critique and edit these storyboards relatively easily, requesting changes like closer camera angles, stronger emotions, or added details without rebuilding the entire prompt. Only after storyboard approval does the system generate video clips using the established visual direction as reference.
The tool supports multiple use cases beyond short films: e-commerce product ads, UGC-style testimonials, viral format recreation, social media content, and TikTok ads. For marketing applications, users can test different ad angles (problem-focused, result-focused, hook-oriented) within the same canvas workspace, maintaining product references and scene structure across variations.
The speaker acknowledges limitations: the AI sometimes interprets scenes too literally, frames may look beautiful but not serve the story, and motion clips can still drift slightly from character identity despite references. However, the centralized canvas workspace makes edits and corrections significantly easier to manage than traditional prompt-only workflows.
Key Insights
- Character inconsistency in AI video occurs because all project context (text, images, previous generations, references) gets scattered across multiple locations, causing the model to forget visual details by the next generation
- Canvas consolidates all project elements on one board where the AI agent can simultaneously see style, character, environment, and objects, making continuity maintenance easier than prompt-only tools
- Storyboard keyframe review before video generation acts as protective guardrail—the model starts with approved visual direction rather than inventing a whole scene from scratch, reducing random results
- In traditional prompt-only workflows, a single edit attempting to fix one scene element can accidentally change the face, style, or entire scene, whereas Canvas isolates edits to specific visuals without forcing storyboard rebuilds
- The tool's value for e-commerce and marketing lies not in generating single clips but in keeping product references, scenes, and creative variations centralized so marketers can test multiple ad angles and viral formats without losing project structure
Topics
Transcript
[0:00] Anyone who has tried making AI videos with a recurring character knows this pain. The character's face changes from scene to scene, the outfit starts drifting, and the visual style falls apart by the end. Let me show you how it works. But, what if there was an AI agent that could take a short prompt and build the character, the visual style, and the entire storyboard on a single canvas, keeping every scene connected, the character recognizable from the first frame all the way to the last? The idea behind Top View Canvas is simple. It feels like Cursor, Plat Code, or [0:31] Codex, but for AI video creation instead of code. First, I talk to the agent.…
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