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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-pro-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-pro-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 Pro stands out as a robust solution for professionals looking to generate video content that combines high resolution, detailed animation, and synchronized audio, all from single images and descriptive prompts. Its strengths lie in physical realism and temporal coherence, making it ideal for storytelling, marketing, and cinematic applications.
⚙️ Technical Specifications
- Model Type: Image-to-video generation with integrated audio synthesis
- Resolution Support: 720p or 1080p
- Clip Duration: 4, 8, or 12 seconds
- Aspect ratio: 16:9, 9:16
- Frame Rate: 24–30 fps (cinematic quality)
- Input: Single image frames with detailed natural language prompts
- Output Format: MP4 videos with synchronized audio
🚀 Performance Benchmarks
- Physics Accuracy: Superior simulation of realistic motion and object interactions
- Temporal Consistency: Maintains spatial and lighting coherence across frames
- Audio Sync: Integrated speech, effects, and background sound in real-time
✨ Key Features
- Seamless Image-to-Video Conversion: Transforms a single still image into a vibrant video with dynamic motion.
- Integrated Audio: Generates synchronized speech, effects, and music natively, enhancing storytelling.
- Realistic Motion and Physics: Accurately simulates movement for natural visual flow.
- High Customizability: Accepts rich textual prompts to tailor video content precisely.
- Broad Application Range: Suitable for advertising, short films, social media content, and creative explorations.
💲 API Pricing
$0.315 per second
🎯 Use Cases
- Advertising videos from product images
- Cinematic storytelling and short films
- Social media dynamic content creation
- Interactive multimedia and AR/VR applications
- Automated video content generation for marketing and education
- AI-assisted video editing and post-production augmentation
- Visual effects with realistic physics and synchronized audio
💻 Code Samples
Generation Code Sample
Output Code Sample
📊 Comparison to Other Models
vs Runway Gen-3 Turbo: Sora 2 Pro supports higher maximum resolution up to 1792x1024, while Runway Gen-3 focuses on faster rendering at typically 720p. Sora 2 Pro excels in integrated audio generation and realistic physics, whereas Runway Gen-3 prioritizes speed and shorter clip durations.
vs Stable Video Diffusion (SVD): Sora 2 Pro produces longer clips up to 60 seconds with synchronized audio, unlike SVD which is limited to about 4 seconds and lacks native audio. Sora 2 Pro delivers cinematic quality with advanced physics simulation, while SVD is more oriented towards short loops and previews.
vs Veo 3: Both models achieve high physical realism and support audio generation, but Sora 2 Pro offers higher resolution up to 1792x1024 compared to Veo 3’s typical 480p output. Veo 3 renders clips somewhat faster for short durations, whereas Sora 2 Pro excels in longer, polished cinematic videos.
🔗 API Integration
Accessible via AI/ML API. Documentation: available here.
❓ Frequently Asked Questions (FAQ)
Q: What is Sora 2 Pro Image-to-Video and what makes it revolutionary?
A: Sora 2 Pro Image-to-Video is OpenAI's advanced video generation model that creates dynamic, coherent video sequences from static images. Its revolutionary capabilities include exceptional temporal consistency, realistic physics simulation, and the ability to extend images into believable motion sequences while maintaining visual quality and logical progression that previous video generation models struggled to achieve.
Q: How does Sora 2 Pro maintain quality and coherence in generated videos?
A: The model maintains quality through advanced temporal coherence algorithms that prevent flickering, physics-aware motion generation, consistent lighting and shadow propagation, object persistence across frames, and understanding of real-world dynamics. It analyzes the input image to infer plausible motions and extends the scene logically rather than applying generic animations.
Q: What are the practical applications for image-to-video technology?
A: Practical applications include social media content creation from photos, product marketing videos from still images, educational content animation, architectural visualizations with movement, historical photo enhancements, creative storytelling from artwork, and prototype animations for film and game development. It dramatically reduces the time and resources needed to create engaging video content.
Q: What input specifications and techniques yield the best results with Sora 2 Pro?
A: Best results come from high-quality, well-composed input images, clear descriptions of desired motion types, specification of camera movements and angles, appropriate video duration requests, and context about the intended mood or style. Example: 'Animate this mountain landscape photo with slow cloud movement, gentle tree swaying in wind, and a panning camera motion from left to right over 8 seconds, cinematic quality.'
Q: What types of video content can Sora 2 Pro generate from a single image?
A: Sora 2 Pro excels at bringing still photographs to life with natural motion, extending landscape scenes with environmental movement, animating character poses into fluid actions, creating dynamic camera movements around static scenes, generating realistic water, fire and weather effects, and transforming product images into demonstration videos. It maintains object consistency and understands spatial relationships during transformations.
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