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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: 'sber-ai/kandinsky5-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": "sber-ai/kandinsky5-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()
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AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
Kandinsky 5 Standard, developed by Sber AI, stands as a groundbreaking text-to-video generation model. It empowers users to transform textual descriptions into high-quality, coherent, and visually captivating video clips. From generating photorealistic scenes to dynamic animations and diverse artistic styles, Kandinsky 5 offers an unparalleled creative toolkit. This latest iteration significantly improves upon prior versions, delivering superior visual fidelity and enabling video generation up to 10 seconds in length. It's an ideal solution for creative content production and rapid video concept prototyping.
Information adapted from Kandinsky 5 Overview.
⚙️ Technical Specifications
- Model Architecture: Proprietary diffusion-based architecture incorporating advanced temporal conditioning mechanisms.
- Training Data: Trained on an extensive and diverse dataset of text-video pairs, covering a broad spectrum of visual styles and content.
- Input: Textual descriptions (prompts).
- Output: High-definition video clips.
- Frame Rate: Configurable, typically supporting 24-30 frames per second for fluid playback.
🚀 Performance Benchmarks
Kandinsky 5 has been rigorously evaluated against leading metrics for video generation, consistently demonstrating superior performance in both quality and alignment.
- ✅ FVD (Fréchet Video Distance): Achieves a new low score, signifying high similarity to real-world video distribution and exceptional overall quality.
- ✅ CLIP Score: Excels in text-video alignment, guaranteeing the generated content precisely matches the input prompt.
- ✅ Temporal Consistency: Shows high scores in metrics measuring frame-to-frame stability, effectively minimizing flickering and jitter.
✨ Key Features
- 📸 Photorealistic Scene Generation: Craft videos virtually indistinguishable from live-action footage, capturing realistic lighting, textures, and environments.
- 🎨 Artistic Style Emulation: Explore a diverse palette of artistic styles, from impressionistic brushstrokes to futuristic digital art, applying them seamlessly to your generated videos.
- 🎬 High-Detail Animation: Produce fluid and intricate animations with exceptional attention to detail, bringing characters, objects, and concepts to life with dynamic movement.
- 🧠 Prompt Understanding and Nuance: Kandinsky 5 excels at interpreting complex, nuanced textual prompts, allowing for precise control over the video’s content, mood, and action.
- 🔄 Temporal Coherence: Ensures generated video frames are consistent over time, resulting in smooth and believable motion without jarring transitions.
- 🎛️ Controllable Parameters: Offers users fine-grained control over various aspects of video generation, including resolution, frame rate, and style intensity.
💰 Kandinsky 5 API Pricing
Starting at $0.21 per second
💡 Practical Use Cases
- ✍️ Creative Storyboarding: Rapid prototyping of narrative video sequences directly from script descriptions.
- 📈 Advertising & Marketing: Generating short, visually compelling video advertisements with precise style requirements.
- 🖼️ Artistic Animation: Producing high-detail animated clips for digital art installations and multimedia projects.
- 📱 Social Media Content: Quickly generating engaging video snippets optimized for portrait or landscape viewing across platforms.
💻 Code Samples
Generation Code Sample:
<snippet data-name="video.text-to-video" data-model="sber-ai/kandinsky5-t2v"></snippet>Output Code Sample:
<snippet data-name="video.fetch-generation-common" data-model="sber-ai/kandinsky5-t2v"></snippet>🆚 Comparison with Other Models
Kandinsky 5 vs. Kandinsky 5 Distill: Standard offers enhanced visual quality and detail at approximately double the cost per second, catering to higher-fidelity demands. Distill is optimized for speed and cost-efficiency with lower resolution and simpler visuals.
Kandinsky 5 vs. OpenAI Sora: Kandinsky 5 is open-source and publicly available, fostering innovation and customization, offering a strong balance of quality, style variety, and accessibility. Sora is currently a closed model with limited access; while it shows impressive long video generation, its public capabilities and limitations are less known.
Kandinsky 5 vs. Stable Video Diffusion (SVD): Kandinsky 5 is trained as a unified text-to-video model from the ground up, leading to superior coherence and a deep understanding of diverse prompts. SVD is often built upon pre-trained image models adapted for video, which can sometimes result in less temporal stability compared to natively trained models.
Kandinsky 5 vs. Runway Gen-2: Kandinsky 5 is completely free and open-source, removing cost barriers for generation and integration. Runway Gen-2 is a commercial, subscription-based service offering a user-friendly interface but operating as a black-box model with associated costs.
🔌 API Integration
Kandinsky 5 is easily accessible via the AI/ML API. Comprehensive documentation for integration is available here: API Documentation Link.
❓ Frequently Asked Questions (FAQ)
Q1: What is Kandinsky 5 Standard?
A1: Kandinsky 5 Standard is an advanced text-to-video AI model by Sber AI, capable of generating high-quality video clips from textual prompts, supporting diverse styles and up to 10 seconds in length.
Q2: What are the key improvements in Kandinsky 5 compared to previous versions?
A2: Kandinsky 5 offers enhanced visual fidelity, improved temporal consistency, and supports longer video generation (up to 10 seconds), making it more robust for professional use and creative prototyping.
Q3: How does Kandinsky 5 compare to other video generation models like OpenAI Sora or Stable Video Diffusion?
A3: Kandinsky 5 is open-source and natively trained for text-to-video, ensuring strong temporal coherence and accessibility, unlike Sora (closed-source, limited access) or SVD (often adapted from image models). It also stands out as free compared to commercial offerings like Runway Gen-2.
Q4: What are the primary use cases for Kandinsky 5?
A4: It's ideal for creative storyboarding, rapid ad generation, artistic animation, and creating engaging social media video content due to its versatility and high-quality output.
Q5: Is there an API available for Kandinsky 5, and how much does it cost?
A5: Yes, Kandinsky 5 is accessible via an AI/ML API, with detailed documentation available. Pricing starts at $0.21 per second of generated video.
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