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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-t2v',
prompt: 'A DJ on the stand is playing, around a World War II battlefield, lots of explosions, thousands of dancing soldiers, between tanks shooting, barbed wire fences, lots of smoke and fire, black and white old video: hyper realistic, photorealistic, photography, super detailed, very sharp, on a very white background',
}),
}).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-t2v",
"prompt": "A DJ on the stand is playing, around a World War II battlefield, lots of explosions, thousands of dancing soldiers, between tanks shooting, barbed wire fences, lots of smoke and fire, black and white old video: hyper realistic, photorealistic, photography, super detailed, very sharp, on a very white background"
}
headers = {"Authorization": "Bearer ", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print("Generation:", response.json())
if __name__ == "__main__":
main()
-
AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
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Product Detail
Sora 2 Pro is a cutting-edge text-to-video generation AI model developed for creating high-quality, short video clips directly from textual descriptions. It integrates advanced neural networks with multimodal processing to produce visually rich, temporally coherent videos with synchronized audio.
✨ Technical Specifications
- Prompt: Text description of the scene to be generated
- Duration: Length of the video clip in seconds
- Resolution: "720p" or "1080p"
- Aspect Ratio: "16:9", "9:16", depending on desired video format
🚀 Performance Benchmarks
- Total Score: Open-Sora 2.0 achieves a strong total performance score of 83.6, closely trailing the original OpenAI Sora at 84.3. It outperforms competitors HunyuanVideo (83.2), CogVideo (82.2), and Open-Sora 1.2 (79.8).
- Quality Score: Sora 2 Pro leads with a quality score of 84.4, just below HunyuanVideo's top score of 85.5, surpassing CogVideo (85.1), OpenAI Sora (82.8), and Open-Sora 1.2 (81.3).
- Semantic Score: Sora 2 Pro excels in semantic understanding with the highest semantic score of 80.3, outperforming OpenAI Sora (78.6), CogVideo (75.8), HunyuanVideo (79.8), and Open-Sora 1.2 (73.4).
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💡 Key Features
- Integrated Audio Synthesis: Unlike many competitors, Sora 2 Pro outputs synchronized natural audio as part of the video.
- Physics-Aware Rendering: Models basic physical interactions for more realistic object motion and collisions.
- Style & Scene Control: Fine-tune output style and scene components via prompt modifiers.
- Multilingual Prompt Support: Handles inputs in multiple languages with consistent performance.
💰 API Pricing
Cost: $0.315 per second
🎯 Use Cases
- Social media content generation (short films and clips)
- Marketing and entertainment prototyping
- Animation, cinematic storyboarding, and previsualization
- Education and explainer videos
- Experimental art with advanced control over physics and audio
- Audio-visual research and AI benchmarks
💻 Code Samples
Generation Code Sample
import openai_sora_api
client = openai_sora_api.Client(api_key="YOUR_API_KEY")
response = client.video.sora_text_to_video.generate(
prompt="A futuristic city at sunset with flying cars and neon lights.",
duration=5,
resolution="1080p",
aspect_ratio="16:9"
)
print(response.video_url)
Output Code Sample
{
"id": "vid_abc123xyz",
"status": "completed",
"video_url": "https://example.com/sora_video_output.mp4",
"duration": 5.0,
"prompt": "A futuristic city at sunset with flying cars and neon lights."
}
🆚 Comparison to Other Models
vs Google Veo 3: Sora 2 Pro specializes in polished, short-form clips with highly synchronized audio and enhanced physics for realistic motion, while Veo 3 leads in cinematic video length and intricate camera control, often generating longer and more immersive scenes. Veo 3’s access is more limited, but it pushes boundaries in audiovisual storytelling, whereas Sora 2 Pro is more broadly available and excels in efficiency for rapid content prototyping.
vs HunyuanVideo: Sora 2 Pro leads in semantic video consistency and overall performance, particularly in rendering fidelity and synchronized audio, while HunyuanVideo is competitive in video quality scores and diversity. HunyuanVideo may excel in certain visual details, but Sora 2 Pro consistently delivers stronger prompt adherence and integrated sound for holistic scene creation.
vs Runway Gen‑3: Sora 2 Pro offers synchronized dialogue and sound, physics realism, and strong multi-shot temporal consistency for short-form content, making it ideal for drafts, animatics, and social video creation. In contrast, Runway Gen‑3 provides robust camera/motion editing tools and easy workflow extension, but lacks native audio generation, focusing more on fine motion and style control for creative editing tasks.
🔌 API Integration
Sora 2 Pro is accessible via AI/ML API. For detailed documentation, please refer to: Sora 2 Pro API Documentation.
❓ Frequently Asked Questions (FAQ)
Q: What is Sora 2 Pro Text-to-Video and how does it advance video generation technology?
A: Sora 2 Pro Text-to-Video is OpenAI's cutting-edge model that generates high-quality video sequences directly from text descriptions. It represents significant advancements in temporal coherence, physics understanding, and narrative consistency. The model can create complex scenes with multiple interacting elements, maintain character and object consistency throughout longer sequences, and generate videos that demonstrate realistic world dynamics and causal relationships.
Q: What types of video content can Sora 2 Pro generate from text prompts?
A: Sora 2 Pro can generate: cinematic scenes with complex camera work, educational explanations with visual demonstrations, product showcases with dynamic presentations, animated stories with character development, scientific visualizations of abstract concepts, architectural walkthroughs, and creative abstract animations. It handles both realistic and stylized content across various genres and durations with impressive coherence.
Q: How does Sora 2 Pro achieve such remarkable temporal consistency and physics accuracy?
A: The model achieves consistency through: sophisticated diffusion transformer architecture, extensive training on diverse video datasets, advanced understanding of physical principles, object permanence throughout sequences, coherent lighting and shadow progression, and causal relationship modeling. It doesn't just generate individual frames but understands how scenes evolve over time with logical progression.
Q: What are the revolutionary applications enabled by advanced text-to-video generation?
A: Revolutionary applications include: rapid prototyping for film and animation, personalized video content creation, immersive educational materials, dynamic product demonstrations, virtual environment generation, automated video advertising, and creative storytelling tools. It democratizes high-quality video production, making it accessible to creators without extensive technical resources or production teams.
Q: What prompting techniques yield the most impressive Sora 2 Pro results?
A: Optimal prompting involves: detailed scene descriptions with specific elements, clear sequencing of events, camera movement specifications, style and mood indicators, duration and pacing requirements, and contextual details about the intended narrative. Example: 'A cinematic drone shot flying through a futuristic city at night, neon lights reflecting on wet streets, flying vehicles moving between skyscrapers, slow and smooth camera movement, cyberpunk aesthetic, 12-second duration, 4K resolution.'
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