



const main = async () => {
const response = await fetch('https://api.ai.cc/v2/generate/video/kling/generation', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'kling-video/v1.5/standard/text-to-video',
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',
aspect_ratio: '16:9',
duration: '5',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main()
import requests
def main():
url = "https://api.ai.cc/v2/generate/video/kling/generation"
payload = {
"model": "kling-video/v1.5/standard/text-to-video",
"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",
"aspect_ratio": "16:9",
"duration": "5",
}
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
Kling V1.5 Standard Text-to-Video marks a significant achievement in advanced AI models, delivering a powerful combination of language understanding, multimodal processing, and efficient reasoning. Building upon the strong foundation of Kling V1.0, this version introduces enhanced contextual awareness, optimized token handling, and improved multimodal synergy to support diverse application domains. Kling V1.5 Standard is engineered to provide developers, data scientists, and businesses with a versatile AI solution, perfectly suited for natural language processing, image-text fusion, and complex analytical workflows.

⚙️ Technical Specifications
- ✅ Video Generation Quality: Achieves significantly improved frame consistency and overall visual clarity, supporting smooth and realistic animations compared to earlier text-to-video models.
- ✅ Video Length: Generates video clips up to 8 seconds, perfectly optimized for short-form applications such as social media, educational snippets, and promotional content.
- ✅ Resolution and Frame Rate: Supports HD video resolution with a frame rate designed to balance quality and rendering speed for prompt outputs.
- ✅ Prompt Understanding: Incorporates an enhanced natural language understanding module that interprets and translates complex textual inputs into accurate visual sequences.
- ✅ Camera Effects: Features basic naturalistic camera behaviors, including pans and zooms, to enrich storytelling impact without compromising processing speed.
🔬 Technical Details
- 💡 Model Architecture: Built on a transformer-based framework optimized for end-to-end text-to-video synthesis, integrating advanced attention mechanisms to map linguistic features to spatiotemporal visual dynamics.
- 💡 Training Data: Trained on a large-scale, diverse video corpus, including narrated clips, scripted content, and real-world footage, to enhance realism and mitigate bias. (The specific dataset details are proprietary).
- 💡 Performance Metrics: Balances video quality with computational efficiency to ensure availability for a wide user base, providing a cost-effective alternative to higher-tier models.
🌟 Strategic Focus & User Consensus
The development focus prioritized a radical improvement in visual fidelity, a goal overwhelmingly confirmed by positive user reception. This core achievement is augmented by new features and represents a foundational step into advanced video generation capabilities.

💰 API Pricing
Only $0.0588 per second
🚀 Key Features
- ✨ Direct Text-to-Video Generation: Converts detailed textual descriptions into vivid video content without intermediate image steps, significantly streamlining production workflows.
- ✨ Contextual Cohesion: Maintains semantic coherence across frames, ensuring generated videos closely follow the narrative flow and thematic elements from input prompts.
- ✨ Stylistic Versatility: Trained on diverse video datasets to adapt video style and tone to match various genres, such as animation, documentary, and live-action simulation.
🌐 Language Support
The primary language for prompt input is English, with effective secondary support for Chinese and other widely used languages. Users are encouraged to experiment with multilingual prompts to match their project requirements.
🎯 Use Cases
- ✅ Content Marketing: Enables marketers and advertisers to rapidly generate campaign videos from copy or story briefs, enhancing engagement and reach.
- ✅ Educational Content: Assists educators in creating engaging video lessons and explainer clips directly from textual descriptions, making learning more dynamic.
- ✅ Storyboarding & Prototyping: Facilitates creative professionals in visualizing narratives and concepts early in the production process through rapid video drafting.
- ✅ Social Media Creation: Ideal for influencers and content creators seeking quick, appealing video outputs tailored to platform-specific formats.
💻 Code Sample
📊 Comparison with Other Models
- ⬆️ vs Kling V1.0: Kling V1.5 Standard boasts significant improvements in inference speed and context length capacity, alongside refined vision-language coordination and better multilingual translations.
🔒 Security and Compliance
Kling V1.5 Standard integrates comprehensive safety and compliance features, ensuring trustworthy deployment for all users:
- ✅ Privacy-preserving data handling protocols.
- ✅ Real-time content filtering and bias mitigation strategies, aligned with ethical AI principles.
- ✅ Customizable governance settings, allowing fine-tuned moderation consistent with industry standards.
- ✅ Compliance readiness, supporting regulated sectors such as healthcare, finance, and legal industries.
These built-in safeguards ensure organizations can confidently deploy Kling V1.5 Standard for sensitive and mission-critical applications with transparency and trust.
❓ Frequently Asked Questions (FAQs)
Q1: What is Kling V1.5 Standard Text-to-Video?
Kling V1.5 Standard is an advanced AI model designed to generate high-quality video content directly from detailed textual descriptions, leveraging superior language understanding and multimodal processing.
Q2: What is the maximum video length Kling V1.5 Standard can generate?
The model is optimized to generate video clips up to 8 seconds in length, making it ideal for short-form content needs across various platforms.
Q3: How does Kling V1.5 Standard improve upon its predecessor, Kling V1.0?
Kling V1.5 Standard offers significant enhancements over V1.0, including improved inference speed, greater context length capacity, refined vision-language coordination, and better multilingual translation capabilities.
Q4: Can Kling V1.5 Standard adapt to different video styles?
Yes, trained on diverse video datasets, Kling V1.5 Standard exhibits stylistic versatility, capable of adapting video style and tone to match various genres such as animation, documentary, and live-action simulation.
Q5: What measures are in place for security and compliance?
The model includes comprehensive safeguards like privacy-preserving data handling, real-time content filtering, bias mitigation, customizable governance settings, and compliance readiness for regulated industries.
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