Video Generation
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Kandinsky 5 Standard

It specializes in converting textual descriptions into photorealistic video clips featuring rich artistic styles and high-detail animations.
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Kandinsky 5 Standard

Sber AI’s Kandinsky 5 marks a paradigm shift in AI video generation, enabling unprecedented levels of creative expression and photorealistic output.

Kandinsky 5 Overview

Kandinsky 5 Standard is an advanced text-to-video generation model developed by Sber AI. It transforms textual descriptions into high-quality, coherent, and visually stunning video clips, supporting everything from photorealistic scenes to dynamic animations and diverse artistic styles. This latest iteration improves upon prior versions by offering better visual fidelity and supports video generation up to 10 seconds in length, making it ideal for creative content production and early-stage video concept prototyping.

Technical Specifications

  • Model Architecture: Proprietary diffusion-based architecture with advanced temporal conditioning mechanisms.
  • Training Data: Trained on a massive and diverse dataset of text-video pairs, encompassing a wide spectrum of visual styles and content.
  • Input: Textual descriptions (prompts).
  • Output: High-definition video clips.
  • Frame Rate: Configurable, commonly supporting 24-30 frames per second for smooth playback.
Architectural Framework

Performance Benchmarks

Kandinsky 5 has been evaluated against established metrics for video generation, demonstrating superior performance in both quality and alignment.

  • FVD (Fréchet Video Distance): Achieves a new low score, indicating high similarity to real-world video distribution and superior overall quality.
  • CLIP Score: Excels in text-video alignment, ensuring the generated content accurately matches the input prompt.
  • Temporal Consistency: Shows high scores in metrics measuring frame-to-frame stability, reducing flickering and jitter.

Key Features

  • Photorealistic Scene Generation: Create videos that are 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, and apply them 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 that 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

  • $0.105 per 5 sec
  • $0.21 per 10 sec

Use Cases

  • Creative Storyboarding: Rapid prototyping of narrative video sequences from script descriptions
  • Advertising & Marketing: Generating short, visually compelling video ads with specific style requirements
  • Artistic Animation: Producing high-detail animated clips for digital art and multimedia projects
  • Social Media Content: Quick generation of engaging video snippets tailored for portrait or landscape viewing

Generation Code Sample

Output Code Sample

Comparison with Other Models

vs. Kandinsky 5 Distill: Standard offers enhanced visual quality and detail at roughly double the cost per second, suited for higher-fidelity demands. Distill is optimized for speed and cost-efficiency with lower resolution and simpler visuals.

vs. OpenAI Sora: Kandinsky 5 is open-source and readily available for public use, fostering innovation and customization. It offers a strong balance of quality, style variety, and accessibility. Sora is currently a closed model with limited access. While it demonstrates impressive long video generation, its capabilities and limitations for public use are not fully known.

vs. Stable Video Diffusion (SVD): Kandinsky 5 is trained from the ground up as a unified text-to-video model, leading to strong coherence and a deep understanding of diverse artistic and realistic prompts. Stable Video Diffusion is often built upon pre-trained image models and adapted for video, which can sometimes lead to less temporal stability compared to natively trained models like Kandinsky 5.

vs. Runway Gen-2: Kandinsky 5 is completely free and open-source, removing any cost barriers for generation and integration into larger pipelines. Runway Gen-2 is a commercial, subscription-based service that offers a user-friendly interface but operates as a black-box model with associated costs.

API Integration

Accessible via AI/ML API. Documentation: available here.

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