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Sora 2 Character Consistency: Core Prompt Method for Stable Character Generation

Content Introduction

This tutorial reveals a proven method for maintaining character consistency in Sora 2 AI video generation using core prompts, demonstrating how to create stable character appearances across multiple scenes through structured prompt engineering and Open Art workflow.

Key Information

  • 1Core prompt method creates character DNA for consistent appearance across scenes
  • 2Text-to-video outperforms image-to-video for dynamic scenes and character consistency
  • 3ChatGPT integration for detailed character description generation
  • 4Four-scene workflow demonstrating consistent character maintenance
  • 5Open Art platform for unified AI video creation and editing
  • 6Simple video editing with crossfade transitions for final compilation

Content Keywords

#Core Prompt Method

Structured character description covering appearance, voice, and camera settings for consistent generation

#Text-to-Video Superiority

Using text prompts instead of image references for better cinematic results and character consistency

#Character DNA

Detailed character blueprint including facial features, outfit, proportions, colors, and voice characteristics

#Structured Prompt Engineering

Systematic approach to building prompts with character details, scene description, and optional voice lines

#Multi-Scene Consistency

Maintaining identical character appearance across different scenes and scenarios

Related Questions and Answers

Q1.Why does text-to-video work better than image-to-video for character consistency?

A: Text-to-video gives AI full creative control to follow core prompts precisely, resulting in more cinematic shots and better character consistency, while image-to-video limits movement and voice features despite better initial visual matching.

Q2.What are the key components of a core prompt?

A: A core prompt includes character appearance (face, outfit, proportions, colors, style), voice characteristics (tone, pitch, emotion, delivery), and camera settings (lens, aperture, lighting, color grading, framing) - essentially creating character DNA.

Q3.How can ChatGPT help in creating consistent characters?

A: ChatGPT can generate detailed character descriptions using structured prompts that specify only appearance, voice, and camera settings, excluding actions or poses to create reusable core prompts for multiple scenes.

Q4.What's the basic structure for scene generation prompts?

A: Scene prompts combine the core character description with specific scene actions and optional voice lines, maintaining the same character DNA while changing scenarios and dialogues.

Q5.How effective is this method for multi-scene videos?

A: The method successfully maintains character consistency across 4+ scenes with identical gear, appearance, and voice characteristics, creating cohesive narratives despite Sora 2's lack of built-in character memory features.

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