Kling AI
High realism text to video generation for cinematic content
Kling AI is a text focused video generation system created by Kuaishou that turns prompts or reference images into smooth, physically coherent clips suitable for consumer and professional use. It is known for strong motion realism, detailed environments, and support for longer short form videos in HD resolutions, which makes it a favorite in comparisons with other modern video models. Integrated into Runware, KlingAI becomes a core provider for advanced text to video and image to video workflows, ideal for trailers, product explainers, social campaigns, and any pipeline that needs cinematic movement with tight control over camera behavior and scene structure.
Models by Kling AI
KlingAI Avatar 2.0 Pro
KlingAI Avatar 2.0 Pro builds on the Standard version with higher visual fidelity, smoother motion, and improved expressivity. It generates up to five-minute avatar videos from a single image and audio track, with enhanced detail and production-ready results for varied character types.
KlingAI Avatar 2.0 Standard
KlingAI Avatar 2.0 Standard generates talking avatar videos from a single portrait image and audio, preserving identity and producing natural lip-sync and expressive motion. It supports up to five minutes of video with multilingual control and gesture clarity for human or cartoon characters.
Kling IMAGE O1
Kling IMAGE O1 is a high control image generation model for stable characters and precise edits. It supports detailed composition control, strong style handling, and localized modifications without structural drift. Ideal for pipelines that need repeatable shots and complex visual continuity.
Kling VIDEO O1
Kling VIDEO O1 is a unified multimodal video foundation model for controllable generation and instruction based editing. It supports text prompts, visual references, and video input so developers can build high control pipelines for pacing, transitions, object changes, and style revisions.
Api Only
Kling VIDEO O1 Pro
Kling VIDEO O1 Pro is a unified multimodal video foundation model for controllable generation and instruction based editing. It supports text prompts, visual references, and video input so developers can build high control pipelines for pacing, transitions, object changes, and style revisions.