Multimodal Visual Language (MVL)
Advanced MVL system integrates multimodal inputs including image references and video clips, enabling sophisticated editing and creative control through natural language.
Enhanced video generation with improved temporal coherence and smoother transitions. Better handling of complex scenes and multi-character interactions.
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Prompt:
In the style of a studio ghibli anime, a boy and his dog run up a grassy scenic mountain with gorgeous clouds, overlooking a village in the distant background.
Advanced MVL system integrates multimodal inputs including image references and video clips, enabling sophisticated editing and creative control through natural language.
Kling 2.1 achieves 182% win-loss ratio against Google Veo2 and 178% against Runway Gen-4 in image-to-video generation benchmarks.
Generate 4 different audio tracks and dialogues that perfectly match video scenes, adding immersive audio experiences to visual content.
Built on enhanced DiT with Kuaishou's advanced latent space encoding and optimized temporal modeling for superior motion understanding.
Trusted by over 22 million users worldwide with 65+ million videos and 175+ million images generated, proving real-world reliability.
AI-powered prompting assistant helps generate optimized descriptions for better results, accessible to users of all skill levels.
Multi-image reference technology analyzes and integrates diverse subjects from multiple uploaded images, enabling dynamic interactions between different characters and addressing visual consistency challenges.
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Experience the power of multimodal AI video generation with Kuaishou's advanced Kling 2.1. Create 2-minute videos with perfect character consistency.