SORA-2
Generate character IDs from short video clips to use across Sora 2 generations.
Avg Run Time: 0.000s
Model Slug: sora-2-characters
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Output
Example Result
Preview and download your result.
API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
Sora 2 | Characters Overview
Sora 2 | Characters is OpenAI's character consistency feature within the Sora 2 video generation model, enabling creators to generate character IDs from reference video clips and maintain those characters across multiple video generations. This solves a critical problem in AI video production: maintaining visual consistency for a specific person, object, or animal across separate video clips without manual correction or complex prompt engineering. By uploading a short reference video once, users can reuse that character across unlimited Sora 2 generations with reliable appearance consistency, including face, clothing, body type, and proportions. This capability transforms Sora 2 from a single-clip tool into a production-ready system for character-driven storytelling, multi-scene narratives, and branded content creation.
Technical Specifications
Technical Specifications
- Character References: Upload up to two consistent characters per generation; character IDs persist across multiple video projects
- Resolution Support: Up to 1080p (1920×1080 landscape or 1080×1920 portrait); sora-2-pro supports 4K in select modes
- Maximum Duration: 20 seconds per clip with character consistency maintained throughout
- Aspect Ratios: 16:9, 9:16, and 1:1 supported
- Frame Rate: 24fps standard output
- Input Formats: Reference video clips (short duration recommended) to generate character IDs; text prompts to direct character actions
- API Access: Available through OpenAI API with batch processing support for production workflows
Key Considerations
Key Considerations
Sora 2 | Characters requires explicit permission from the likeness holder before using anyone's appearance in generated videos, enforced through OpenAI's character controls system. Users should prepare reference videos that clearly show the character's face, clothing, and distinctive features from multiple angles for optimal ID generation. Character consistency within a single 20-second clip is highly reliable, but the feature excels when generating separate clips featuring the same character rather than attempting multi-character interactions in one generation. Access is available through ChatGPT Plus/Pro subscriptions or OpenAI's API for developers. For production workflows requiring multiple clips with the same character, the batch API offers asynchronous processing efficiency.
Tips & Tricks
Tips and Tricks
When creating character reference videos, ensure clear lighting and multiple angles showing the character's face, body, and distinctive clothing or features. This produces more reliable character IDs. Use descriptive prompts that specify the character's actions and environment rather than appearance details—the character ID handles visual consistency, so focus your prompt on what the character should do. For example: "The character walks through a bustling marketplace, looking at vendor stalls" rather than describing facial features. When generating multiple clips for a narrative sequence, maintain consistent environmental context in your prompts to help the model understand scene continuity. Leverage the storyboard interface available in ChatGPT to plan multi-clip sequences before generation, reducing iteration cycles. For API users, batch processing allows you to queue multiple character-based generations overnight, optimizing for production timelines.
Capabilities
Capabilities
- Generate and store character IDs from short video reference clips for reuse across unlimited Sora 2 projects
- Maintain consistent character appearance—face, clothing, body proportions—across separately generated 20-second video clips
- Support up to two consistent characters within a single 20-second generation for character interaction scenes
- Generate videos in full 1080p resolution with character consistency preserved across portrait and landscape formats
- Apply user-controlled likeness safeguards, including permission controls, access revocation, and video reporting features
- Extend existing videos using character consistency, building longer narratives from multiple clips
- Access character features through both ChatGPT interface and OpenAI API with batch processing for production workflows
What Can I Use It For?
Use Cases for Sora 2 | Characters
Multi-Scene Brand Storytelling: Marketing teams can create consistent brand ambassador or spokesperson characters across multiple 20-second video clips for social media campaigns, product launches, or educational series. Generate a character ID from a reference video of your spokesperson, then produce different scenes—product demo, customer testimonial, behind-the-scenes—with guaranteed visual consistency without reshooting.
Character-Driven Animation and Narrative Content: Creators can develop animated or live-action characters for episodic content, web series, or interactive stories. Upload a character design or actor reference once, then generate multiple scenes showing that character in different scenarios: "The character discovers a hidden door in an ancient library and cautiously enters" followed by "The character examines mysterious artifacts on stone shelves."
Developer-Built Video Applications: Developers using the OpenAI API can build applications where end-users upload their own character references and generate personalized video content at scale. This enables use cases like AI-generated fitness coaching videos, personalized educational content, or interactive storytelling platforms where consistency across clips is essential.
Content Creator Efficiency: YouTubers and TikTok creators can produce longer narrative content by generating multiple character-consistent clips and assembling them into cohesive videos, reducing production time while maintaining visual continuity that would otherwise require manual editing or reshooting.
Things to Be Aware Of
Things to Be Aware Of
Character consistency is optimized for separately generated clips rather than complex multi-character interactions within a single generation; scenes with two characters may require careful prompt engineering to maintain both characters' consistency. Reference video quality directly impacts character ID reliability—low-light, obscured, or ambiguous reference footage may produce less consistent results. Users must obtain explicit consent before using anyone's likeness, and OpenAI enforces this through its characters feature with built-in permission controls. Processing time varies based on resolution and duration; 1080p 20-second generations take longer than lower resolutions. The model may still exhibit occasional artifacts like unusual hand positioning or minor facial inconsistencies, particularly in complex poses or unusual camera angles.
Limitations
Limitations
Sora 2 | Characters cannot guarantee perfect consistency across more than two characters in a single clip, and multi-character scenes may require iterative refinement. The feature requires explicit likeness consent, limiting use cases involving public figures or individuals who haven't provided permission. Character consistency degrades when reference videos are of poor quality, shot in low light, or show the character from only one angle. The model cannot edit or modify existing character videos—only generate new clips with consistent characters. Maximum clip duration of 20 seconds means longer narratives require multiple generations and manual assembly. Some edge cases—unusual poses, extreme camera movements, or highly stylized prompts—may produce visual inconsistencies despite character ID usage.
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