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const main = async () => {
const response = await fetch('https://api.ai.cc/v2/video/generations', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'openai/sora-2-i2v',
prompt: 'She turns around and smiles, then slowly walks out of the frame.',
image_url: 'https://cdn.openai.com/API/docs/images/sora/woman_skyline_original_720p.jpeg',
resolution: '720p',
aspect_ratio: '16:9',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main()
import requests
def main():
url = "https://api.ai.cc/v2/video/generations"
payload = {
"model": "openai/sora-2-i2v",
"prompt": "She turns around and smiles, then slowly walks out of the frame.",
"image_url": "https://cdn.openai.com/API/docs/images/sora/woman_skyline_original_720p.jpeg",
"resolution": "720p",
"aspect_ratio": "16:9",
}
headers = {"Authorization": "Bearer ", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print("Generation:", response.json())
if __name__ == "__main__":
main()
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Product Detail
✨ Sora 2 API Overview: OpenAI's next-generation image-to-video AI model, Sora 2, is engineered to transform simple text prompts or image references into cinematic, high-fidelity videos. It boasts synchronized audio and realistic physics, making it an incredibly versatile powerhouse for prompt-to-film content creation.
⚙️ Technical Specifications
- Temporal Consistency: Improved frame-to-frame stability to minimize flickering and object disappearance.
- Aspect Ratios: Supports standard 16:9 and vertical 9:16 formats.
- Physics Modeling: Advanced accuracy for gravity, collisions, fluid dynamics, and realistic motion behaviors (e.g., gymnastic movements, object interactions).
- Audio Synthesis: Supports spatial audio, perfectly synchronized with video actions.
- Clip Length: Generates videos typically up to 30–60 seconds per prompt.
- Model Efficiency: Employs spatiotemporal autoencoders to compress latent video space, significantly boosting generation speed while preserving intricate details.
- Safety & Governance: Includes watermarking, provenance metadata, and content moderation for ethical and responsible use.
✅ Key Features
- Native generation of video and synchronized multi-channel audio, including dialogue with accurate lip-sync.
- High visual fidelity with 1080p resolution and support for upscaling to 4K.
- Enhanced temporal consistency, effectively reducing artifacts such as flickering and object disappearance.
- Realistic physics simulations that precisely model gravity, collisions, and motion consequences.
- Controllable output with detailed prompt handling for complex scene transitions and effects.
- Robust safety measures including watermarking and strict content moderation policies for responsible content creation.
💰 Sora 2 API Pricing
Access Sora 2's powerful capabilities at a transparent rate:
- $0.105 per second of generated video.
💡 Use Cases
- Cinematic short film and storytelling video creation.
- Marketing and advertisement video production without physical filming.
- Educational content generation with perfectly synchronized audio-visuals.
- Simulations requiring highly realistic physics-driven video output.
- Rapid prototyping of video projects involving complex motion and audio.
- Digital content generation for social media and entertainment platforms.
- Automated video editing and scene creation within creative workflows.
💻 Code Samples
For developers looking to integrate Sora 2, comprehensive code samples are available:
Generation Code Sample: Refer to the official documentation for examples on how to initiate video generation requests.
Output Code Sample: Find examples demonstrating how to fetch and process generated video outputs.
↔️ Comparison with Other Models
vs Runway Gen-3:
Sora 2 excels in physics realism with complex motion and native synchronized audio, creating highly immersive stories. Runway Gen-3 offers faster rendering and more precise creative control with features like keyframe editing. Choose Sora 2 for cinematic realism; Runway Gen-3 suits those prioritizing speed and fine-tuned scene control.
vs Veo 3:
Sora 2 generates videos with advanced physics accuracy and integrated spatial audio for superior believability. Veo 3 emphasizes cinematic quality with good audio but has less precise physics and slower generation speed. Sora 2 leads for physics-driven storytelling; Veo 3 targets polished cinematic-style video production.
vs Runway Gen-4:
Sora 2 offers superior physics modeling and audio sync, resulting in more believable and coherent video. Runway Gen-4 provides versatile creative tools and slightly faster generation. Sora 2 is ideal for realism-focused creators; Runway Gen-4 suits users prioritizing creative flexibility and rapid iterations.
vs Kling AI:
Sora 2 surpasses Kling AI in video resolution and temporal consistency, producing smoother frame transitions and overall higher fidelity. Kling AI emphasizes stylized visuals and faster generation but with comparatively less realism. Choose Sora 2 for polished, realistic storytelling; Kling AI for stylized or experimental video creation.
🔗 API Integration
Sora 2 is easily accessible via the AI/ML API. Detailed documentation is available here, providing all necessary information for seamless integration.
❓ Frequently Asked Questions (FAQ)
Q: What is Sora 2 Image-to-Video and how does it differ from the original Sora?
A: Sora 2 Image-to-Video is OpenAI's advanced video generation model, specifically optimized for transforming static images into dynamic video sequences. Key improvements over earlier versions include superior temporal coherence, more realistic physics simulation, enhanced object consistency, and improved handling of complex scenes, resulting in significantly higher visual quality and believable motion.
Q: What types of image-to-video transformations does Sora 2 handle most effectively?
A: Sora 2 excels at animating natural environments (e.g., weather, water effects), bringing portrait photos to life with subtle movements, creating dynamic product demonstrations from still shots, generating architectural walkthroughs, transforming landscape photos into cinematic sequences, and animating artwork while preserving its original style. It's designed to maintain the original image's quality while adding believable, high-fidelity motion.
Q: How does Sora 2 maintain object consistency and prevent artifacts in generated videos?
A: Sora 2 achieves high consistency through advanced neural rendering techniques, robust object persistence algorithms, coherent lighting and shadow propagation, and physics-aware motion generation. The model deeply analyzes the input image to understand object relationships and generates motion that respects the original composition, effectively minimizing flickering, distortion, or other common video generation artifacts.
Q: What are the practical business applications for Sora 2's image-to-video technology?
A: Business applications are extensive, including social media marketing content creation, e-commerce product demonstrations, real estate virtual tours, educational content enhancement, corporate training material development, architectural visualization, and advertising campaign production. Sora 2 empowers businesses to repurpose existing image assets into engaging video content quickly and cost-effectively.
Q: What input specifications yield the best Sora 2 results?
A: Optimal inputs for Sora 2 include high-resolution, well-lit source images with clear composition and distinguishable elements. Providing precise prompts describing desired motion types, specifying camera movements, and adding context about the intended video style (e.g., "Animate this beach sunset photo with gentle wave movement, palm leaves swaying in breeze, and slow zoom-out camera motion over 10 seconds, maintaining the warm color grading and peaceful atmosphere") will yield the most compelling and accurate results.
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