KlingAi.Video

Kling 2.6 is a video generation model developed by Kling, capable of producing videos from text prompts or input images. It supports both text-to-video and image-to-video workflows, accepting text descriptions, image URLs, and selection-based inputs to guide the generation process. The model was added to MindStudio in March 2026 and carries a training date of December 2025.

Kling V2.6 Pro Motion Control is an AI video generation model developed by Kuaishou Technology that animates static character images by extracting and transferring motion from real reference video clips. Rather than generating movement from text descriptions alone, it uses a 3D face and body reconstruction system built on deep learning-based 3D modeling to map human faces and body movements from 2D inputs, then applies those motion paths frame-by-frame to a subject image. The model runs on a Diffusion Transformer Architecture and produces output at 30 frames per second with coherent motion transitions throughout the generated clip.

Kling 3.0 is a video generation model developed by Kling, released with a training date of February 2026. It supports both text-to-video and image-to-video workflows, accepting text prompts, image URLs, and multiple configuration options as inputs. The model is identified by the ID kling-video-v3.0-std and is available on MindStudio as part of the Kling model family.

Kling 3.0 Motion Control is a video generation model developed by Kling that specializes in motion transfer. It takes a reference video and a source still image as inputs, then animates the still image by applying the motion patterns extracted from the reference video. This makes it distinct from standard text-to-video or image-to-video models, as the motion itself is explicitly guided by an existing video clip rather than inferred from a prompt alone.