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Sora 2 Prompting Guide Released: OpenAI Official Best Practices

Wed, 08 Oct 2025 00:00:00 +0000

OpenAI has officially published the “Sora 2 Prompting Guide” in its Cookbook—the first official prompting guide. This article distills the core points to help you quickly get started with Sora 2 video generation.

Official Release
Release Date: October 6, 2025
Original Authors: Robin Koenig (OpenAI), Joanne Shin (OpenAI)
For the complete guide, visit: Full Documentation Version

Core Philosophy: Prompts Are Shot Briefs

Writing video prompts is like briefing a cinematographer—you provide direction, the model provides creative variations. The key is finding the balance between control and creative space.

Two Strategies

Detailed Prompts ⚙️

Provide stronger control and consistency
Suitable for scenes requiring precise reproduction

Concise Prompts ✨

Give the model more creative freedom
May bring unexpected surprises

Essential API Parameters

The following parameters cannot be changed through text description and must be explicitly set in the API call:

{
 "model": "sora-2-pro", // sora-2 or sora-2-pro
 "size": "1280x720", // video resolution
 "seconds": "8" // 4, 8, or 12 seconds
}

Supported Resolutions

Model	Supported Resolutions
sora-2	1280x720, 720x1280
sora-2-pro	1280x720, 720x1280 1024x1792, 1792x1024

Critical Note
These are the video’s “container” parameters and won’t change based on descriptions like “make it longer.” The prompt controls content: subject, motion, lighting, style.

Five Essential Elements of Effective Prompts

A clear prompt should describe a shot like a storyboard:

Camera Framing - Wide? Close-up? What angle?
Depth of Field - Shallow (blurred background) or deep (all sharp)?
Action Beats - Describe movement in executable steps
Lighting Scheme - Describe light source, direction, and quality
Color Anchors - Specify 3-5 main colors

From Weak to Strong: Example Comparisons

Scene Description

❌ Weak	✅ Strong
“A beautiful street”	“Wet asphalt, zebra crosswalk, neon signs reflecting in puddles”
“Person moves quickly”	“Cyclist pedals three times, brakes, and stops at crosswalk”

Camera Setup

❌ Weak Example:

Camera shot: cinematic look

✅ Strong Example:

Camera shot: wide shot, low angle
Depth of field: shallow (sharp on subject, blurred background)
Lighting + palette: warm backlight with soft rim

Action Description

❌ Weak Example:

Actor walks across the room.

✅ Strong Example:

Actor takes four steps to the window, pauses, and pulls the curtain in the final second.

Short Prompt Example

Sometimes, concise works well:

In a 90s documentary-style interview, an old Swedish man sits in a study
and says, "I still remember when I was young."

Why This Works:

90s documentary sets the overall aesthetic
old Swedish man sits in a study provides basic scene
Dialogue is short and clear, easy to sync

Note: Many details unspecified (time, weather, wardrobe, age, etc.)—Sora will fill these in.

Copy-and-Use Standard Template

[Describe scene in plain language: characters, costumes, setting, weather, etc.]
Cinematography:
Camera shot: [wide establishing shot, eye level]
Depth of field: [shallow / deep]
Lens/style: [anamorphic lens / handheld / locked-off]
Mood: [cinematic and tense / playful and suspenseful / warm and cozy]
Actions:
- [Action 1: clear, specific beat or gesture]
- [Action 2: another distinct beat]
- [Action 3: closing action or line]
Dialogue:
[If dialogue present, 1-3 short lines]

Advanced Techniques Quick Reference

1. Use Image Input to Lock Style

Pass an image as the input_reference parameter to lock:

Character design
Wardrobe style
Set dressing
Overall aesthetic

Experiment Tip: Use OpenAI Image Generation to quickly create visual references, then pass into Sora as starting points.

2. Dialogue Writing Essentials

Place in separate block, distinct from visual description
Keep concise and natural
Label speakers (multi-character scenes)
Match duration: 4-second clip = 1-2 exchanges

Example:

Dialogue:
- Detective: "You're lying. I can hear it in your silence."
- Suspect: "Or maybe I'm just tired of talking."

3. Use Remix for Precise Iteration

Remix is a fine-tuning tool, not for regeneration:

✅ “same shot, switch to 85mm”
✅ “same lighting, new palette: teal, sand, rust”
❌ Don’t change too many things at once

Strategy: When close to target, pin as reference and only describe “delta changes.”

Quick Problem Solving

Problem	Solution
🎲 Results too random	Add more framing, depth of field, lighting anchor descriptions
🏃 Motion unreadable	Converge to “one camera move + one action”
✂️ Edits don’t flow	Fix lighting logic and color palette
👤 Character inconsistent	Reuse same identity descriptions and phrasing

Why This Approach Works

It aligns with Sora 2’s text-to-visual conversion logic:

Clear camera intent - Reduces model guessing
Constrained motion - Do one thing at a time
Stable lighting logic - Maintains visual coherence
Visible anchors - Use specific nouns and verbs

Practical Recommendations

Recommended Workflow

Clarify Goals → What should this shot achieve?
Set Parameters → Choose model, size, seconds
Write Prompt → Start with template or keep it concise
Generate Multiple Versions → Embrace variety, select closest
Remix Optimize → Targeted adjustments, not restart
Edit and Integrate → Combine satisfying clips into complete work

Duration Selection Tips

⏱️ 4-second clips - Most reliable instruction following
⏱️ 8-second clips - Require more precise prompts
💡 Tip: Editing two 4-second clips may work better than generating a single 8-second one

Complete Reference Resources

Want to dive into all the details? Check out the full guide:

📖 Read Complete Documentation →

The complete version includes:

Cinematic ultra-detailed prompt examples
Lighting and color theory explained
Two complete scene cases (robot workshop, rooftop dance)
More troubleshooting techniques

About This Guide

Official Source: OpenAI Cookbook - Sora 2 Prompting Guide
Authors: Robin Koenig (OpenAI), Joanne Shin (OpenAI)
This Article: Organized by SoratoAI Community

Explore More Creative Resources

🎬 Prompt Library - Curated prompts and creation templates
💬 Creator Community - Connect with other creators
📖 Academy - Learn Sora 2 creation techniques systematically

Sam Altman Releases Sora Product Update #1: Copyright Control and Revenue Sharing Changes

Sat, 04 Oct 2025 00:00:00 +0000

OpenAI CEO Sam Altman published Sora Product Update #1 on his personal blog, announcing two major updates set to be implemented soon. This marks the first significant product adjustment since Sora’s official launch, demonstrating OpenAI’s rapid iteration strategy based on user feedback.

📢 Two Major Updates Announced by Sam Altman

First Update: Granular Copyright Control for Rightsholders

Sam Altman stated in his blog that OpenAI will provide rightsholders with more granular control over character generation. This feature is similar to the previous opt-in model for likeness but with additional controls.

What is “Interactive Fan Fiction”?

Sam Altman defines Sora’s creative format as “Interactive Fan Fiction”. He mentioned in his blog:

“We are hearing from a lot of rightsholders who are very excited for this new kind of ‘interactive fan fiction’ and think this new kind of engagement will accrue a lot of value to them.”

Rightsholders’ Needs and Expectations

According to Sam Altman’s description, rightsholders want to:

Specify clearly how their characters can be used
Choose complete prohibition of any usage
Try different approaches to manage character licensing

OpenAI plans to let rightsholders decide how to proceed, while hoping the product becomes compelling enough to attract more rightsholders to participate voluntarily.

Technical Implementation Challenges

Sam Altman acknowledged that there may be edge cases during implementation, with some violating content potentially getting through that shouldn’t. He stated that getting the technical stack to work well will take some iteration.

Second Update: Revenue Sharing Model

Background of Cost Pressures

Sam Altman explained the rationale behind introducing the revenue sharing model:

“People are generating much more than we expected per user, and a lot of videos are being generated for very small audiences. We are going to have to somehow make money for video generation.”

Specific Revenue Sharing Plans

OpenAI plans to try a revenue sharing model:

If user-created videos involve rightsholders’ characters
OpenAI will share corresponding revenue with rightsholders
The exact model will take some trial and error to figure out
They plan to start very soon

Sam Altman hopes that the new kind of engagement will be even more valuable than the revenue share itself.

🇯🇵 Special Mention: Japanese Users’ Creative Performance

In the product update, Sam Altman specifically highlighted the remarkable creative output of Japan:

“In particular, we’d like to acknowledge the remarkable creative output of Japan–we are struck by how deep the connection between users and Japanese content is!”

This indicates:

Japanese market shows outstanding performance in Sora usage
Japanese content (such as anime characters) is deeply loved by users
Creative quality has reached levels that amazed the OpenAI team

🔄 Product Iteration Philosophy: Like Early ChatGPT Days

Sam Altman compared the current product strategy to early ChatGPT:

“Please expect a very high rate of change from us; it reminds me of the early days of ChatGPT.”

Iteration Strategy Explanation

Quick decisions: Will make some good decisions and some missteps
Timely feedback: Will take feedback and try to fix missteps very quickly
Internal first: Plan to do iteration on different approaches in Sora first, then apply consistently across products

📝 Original Article Information

Sam Altman’s blog post was published on his personal website: blog.samaltman.com/sora-update-number-1

Original English Title

“Sora update #1”

Key English Terms

Interactive Fan Fiction: Interactive fan fiction
Opt-in model for likeness: Opt-in model for likeness
More granular control: More granular control
Revenue sharing: Revenue sharing

🎯 Significance for Sora Users

Changes Creators Need to Know

Copyright compliance: Need to pay more attention to character copyright issues in the future
Revenue opportunities: May earn revenue sharing through quality content
Creative freedom: Enjoy richer creative possibilities within compliance framework

New Opportunities for Rightsholders

Granular control: Can more accurately manage character usage rights
Revenue streams: Gain new income streams through AI creation
Fan engagement: Establish new ways to interact with fans

📅 Implementation Timeline

Sam Altman stated these two updates will be implemented soon (“We are going to make two changes soon”), but didn’t provide a specific timeline. He emphasized there will be many more updates to come (“and many more to come”).

💬 Community Response

According to Sam Altman’s description, different groups’ reactions:

Rightsholders’ Response

Very excited: Excited about this new form of “interactive fan fiction”
Value recognition: Consider it a very valuable new type of engagement
Control needs: Want to clearly control how their characters are used

User Usage Patterns

Beyond expectations: Each user’s creation volume far exceeds OpenAI’s expectations
Scattered audiences: Many videos have very small viewing audiences
Outstanding creativity: Especially Japanese users showing remarkable creative performance

🔍 Key Terms Explanation

To help users better understand this update, we explain several key concepts:

Sora Product Updates

Definition: Regular Sora product updates and improvement announcements from OpenAI
Frequency: This is the first issue, with more expected in the future
Content: Includes new features, policy adjustments, user feedback, etc.

Rightsholder Granular Control

Purpose: Protect intellectual property, balance creative freedom with copyright protection
Scope: Character appearance, usage scenarios, commercial use, and other dimensions
Implementation: Identify and control specific character generation through technical means

Revenue Sharing Model

Background: High video generation costs require sustainable business model
Mechanism: Three-way revenue distribution among rightsholders, creators, and platform
Goal: Achieve win-win development for all ecosystem participants

🎬 What This Means for the Community

For Content Creators

Enhanced opportunities: Potential to earn from quality content creation
Compliance awareness: Need to understand copyright guidelines better
Creative tools: Access to new forms of visual storytelling

For Rightsholders

Control mechanisms: Ability to set precise usage parameters
New revenue streams: Monetization through AI-generated content
Fan engagement: Deeper connection with audience through interactive content

For Users

Quality content: Better content as creators have incentives
Diverse options: More varied content as rightsholders participate
Community growth: Stronger creator ecosystem

📊 Business Model Innovation

The revenue sharing approach represents a significant shift in AI content generation:

Stakeholder	Revenue Source	Value Contribution
Rightsholders	Character licensing fees	IP value and brand influence
Creators	Content creation share	Creative content and user engagement
Platform	Technology service fees	AI technology and platform operation
Users	Creative experience value	Content consumption and community participation

🚀 Looking Forward

Short-term Expectations (Next 3-6 months)

Copyright control system launch: Implementation of granular character usage controls
Revenue sharing pilot: Small-scale revenue sharing model testing
Technical optimizations: Feature improvements based on user feedback

Medium-term Outlook (6-18 months)

Global expansion: International market expansion based on Japanese experience
Ecosystem maturity: Stable creator-rightsholder-platform ecosystem formation
Technical breakthroughs: More efficient generation algorithms and precise control mechanisms

Long-term Vision (18+ months)

Industry standards: Establishing AI video creation industry standards
Cross-platform integration: Deep integration with other OpenAI products
New business models: Exploring more innovative commercialization paths

💡 Practical Recommendations

For Creators

Copyright awareness: Understand relevant copyright laws and platform rules
Skill development: Learn effective prompt engineering and creation techniques
Community participation: Actively engage in creator communities for experience sharing
Business mindset: Consider how to turn creation into sustainable income

For Rightsholders

Strategy development: Create clear AI creation licensing strategies
Technical cooperation: Establish effective technical integration with platforms
Community building: Foster and maintain fan creation communities
Value assessment: Establish evaluation systems for AI creation value

Conclusion

Sam Altman’s Sora Product Update #1 demonstrates OpenAI’s commitment to building a balanced, sustainable creative ecosystem. By implementing granular copyright controls and innovative revenue sharing, Sora is pioneering new approaches to AI-generated content that benefit all stakeholders.

This “learn-as-we-build” iteration approach reflects both the agility of tech companies and the unique characteristics of AI-era product development. For the entire AI video creation industry, Sora’s explorations will provide important references for establishing industry standards and mature business models.

We’ll continue monitoring Sora’s product development to provide the latest insights and analysis for creators and industry participants.

Want to learn more Sora techniques and industry updates? Follow our Technical Guides and Creative Practices to start your AI video creation journey!

Sora 2 Official Release: A New Milestone in AI Video Generation

Wed, 15 Jan 2025 00:00:00 +0000

OpenAI has officially released the highly anticipated Sora 2 video generation model, marking a major breakthrough in AI video creation technology. Compared to the original Sora, Sora 2 has achieved qualitative leaps in physical simulation, controllability, and user experience, bringing creators unprecedented video generation capabilities.

🎯 Sora 2 Core Highlights

Realistic Physical Simulation

Sora 2 has achieved major breakthroughs in physical effects:

Precise Physics Engine: More accurate gravity, collision, and fluid effects
Natural Motion Trajectories: Object movements more consistent with real-world physics
Material Representation: More realistic lighting and texture representation for different materials
Environmental Interaction: More natural character-environment interactions

Synchronized Video + Audio Generation

This is Sora 2’s most exciting new feature:

Synchronized Sound Effects: Automatically generate matching sound effects based on video content
Environmental Audio: Intelligently add background sounds that match the scene
Audio-Visual Sync: Ensure perfect synchronization between sound effects and visual actions
Audio Quality: High-fidelity audio output comparable to professional production

Enhanced Controllability

Sora 2 provides creators with more precise control:

Multi-shot Consistency: Maintain character and scene consistency across multiple shots
Precise Editing: Frame-level editing and modification capabilities
Style Control: More flexible artistic style and visual effect adjustments
Interactive Generation: Real-time feedback and iterative optimization

🚀 Revolutionary Features

Cameos Technology

One of Sora 2’s most innovative features:

Face Replacement: Upload photos to replace characters in videos
Identity Consistency: Maintain character consistency throughout the video
Natural Integration: Seamlessly blend uploaded faces with generated scenes
Privacy Protection: Secure processing with user data protection

iOS Native Application

Sora 2 launches with a dedicated iOS app:

Mobile Creation: Create videos anytime, anywhere on mobile devices
Intuitive Interface: User-friendly design suitable for all skill levels
Social Sharing: Direct sharing to social platforms
Cloud Sync: Seamless synchronization across devices

Advanced Prompt System

More intelligent prompt understanding:

Natural Language: Support for complex natural language descriptions
Multi-modal Input: Combine text, images, and audio inputs
Context Understanding: Better comprehension of creative intent
Smart Suggestions: AI-powered prompt optimization recommendations

💡 Technical Innovations

World Model Architecture

Sora 2 is built on an advanced world model:

Physical Laws: Deep understanding of real-world physics
Spatial Relationships: Accurate 3D space and object relationships
Temporal Consistency: Maintain consistency across time sequences
Causal Understanding: Comprehend cause-and-effect relationships

Multimodal Integration

Comprehensive multimodal capabilities:

Vision-Language: Deep integration of visual and textual understanding
Audio-Visual: Synchronized audio-visual generation
Cross-modal Learning: Learning and transfer across different modalities
Unified Representation: Consistent representation across all modalities

🌟 Industry Impact

Content Creation Revolution

Sora 2 will fundamentally change content creation:

Democratization: Lower barriers to high-quality video creation
Efficiency Boost: Dramatically reduce production time and costs
Creative Freedom: Unlimited creative possibilities
Personalization: Highly personalized content creation

Market Applications

Broad application scenarios:

Marketing: Revolutionary advertising and promotional content
Education: Immersive educational content creation
Entertainment: New forms of entertainment content
Social Media: Personalized social content generation

🔮 Future Outlook

Technology Evolution

Sora 2 represents just the beginning:

Longer Videos: Support for longer duration video generation
Higher Resolution: 4K and 8K video generation capabilities
Real-time Generation: Instant video generation and editing
Interactive Content: Support for interactive video experiences

Ecosystem Development

Building a comprehensive ecosystem:

Developer Platform: APIs and SDKs for developers
Community Creation: User-generated content and sharing
Commercial Applications: Enterprise-level solutions
Educational Resources: Comprehensive learning materials

📈 Getting Started

Access Methods

Multiple ways to experience Sora 2:

iOS App: Download from the App Store
Web Platform: Access through the official website
API Integration: For developers and enterprises
Community Version: Free tier for individual users

Learning Resources

Comprehensive learning support:

Official Documentation: Detailed usage guides
Video Tutorials: Step-by-step video instructions
Community Forums: User experience sharing
Best Practices: Curated creation techniques

🎬 Conclusion

Sora 2’s release marks a new era in AI video generation. With its revolutionary features and powerful capabilities, it will reshape the content creation landscape and open up infinite possibilities for creators worldwide.

Whether you’re a professional content creator, marketer, educator, or creative enthusiast, Sora 2 provides the tools and capabilities to bring your vision to life. The future of video creation is here, and it’s more exciting than ever.

Ready to start your Sora 2 journey? Visit sora.com to get started today! 🚀