系列

Kling V3 AI 模型家族

6 个模型更新于 Apr 2026
Kling V3 AI 模型家族

关于 Kling V3 模型

Kuaishou's Kling v3 series is an open multimodal AI suite for T2I/I2V/T2V, generating 4K cinematic visuals with native audio, multi-shot narratives, precise motion control, and consistent characters.

全部 Kling V3 模型

kling/kling-v3-omni-video

kling/kling-v3-omni-video

video-to-video

[Core Function] Kling V3 Omni Video is the flagship unified multimodal video generation endpoint. [Strengths] It supports multi-shot narratives (up to 6 shots), 15-second durations, native audio, video editing (via refer_type 'base'), and character/element consistency across shots using `<image_N>` syntax. [Best For] Highly recommended for: professional video orchestration, multi-shot cinematic sequences, and maintaining strict character consistency. [Limitations] Do NOT use this model for simple, single-shot T2V/I2V tasks where the standard V3 model is more straightforward and cheaper. [Routing] Use this model whenever the user requests 'multi-shot', 'consistent characters', 'video editing', or complex multimodal inputs.

kling/kling-v3-i2v

kling/kling-v3-i2v

image-to-video

[Core Function] Kling V3 I2V is the next-generation image-to-video model. [Strengths] It transforms static images into video with support for 4K resolution, 15-second durations, and native audio, providing superior motion and character expressiveness. [Best For] Highly recommended for: animating concept art, bringing portraits to life in 4K, and generating long 15s scenes from a single frame. [Limitations] Do NOT use this model if you need multimodal reference elements (like character consistency across shots) or multi-shot generation; use V3 Omni instead. [Routing] Use this model by default for high-quality single-image-to-video tasks.

kling/kling-v3-t2v

kling/kling-v3-t2v

text-to-video

[Core Function] Kling V3 T2V is the next-generation text-to-video base model. [Strengths] It natively supports generating ultra-long 15-second videos, 4K resolution, and synchronized native audio directly from text. [Best For] Highly recommended for: high-end cinematic creation, 4K video generation, and creating long-form scenes with integrated sound. [Limitations] Do NOT use this model if you need complex multi-shot narratives or deep physics reasoning; use V3 Omni or Video O1 respectively. [Routing] Use this model by default for high-quality text-to-video tasks that require up to 15 seconds, 4K resolution, or native audio without reference images.

kling/kling-v3-omni-image

kling/kling-v3-omni-image

image-to-image

[Core Function] Kling V3 Omni Image is a unified multimodal image generation endpoint. [Strengths] It supports complex element extraction and character consistency, allowing you to generate series of images with consistent subjects/elements using `<image_N>` syntax. [Best For] Highly recommended for: generating comic books, character design sheets, and maintaining strict visual consistency across multiple generations. [Limitations] Do NOT use this model for simple, single-shot text-to-image tasks. [Routing] Use this model when the user requests 'consistent characters' or needs to fuse multiple image elements into a new scene.

kling/kling-v3-i2i

kling/kling-v3-i2i

image-to-image

[Core Function] Kling V3 I2I is the flagship image-to-image editing model. [Strengths] It provides high-quality style transfer and image modification up to 2K resolution based on a reference image. [Best For] Highly recommended for: high-res style transfer and general image editing. [Limitations] Do NOT use this model for complex multi-element fusion (use Omni Image instead). [Routing] Use this by default for standard image-to-image tasks.

kling/kling-v3-t2i

kling/kling-v3-t2i

text-to-image

[Core Function] Kling V3 T2I is the flagship text-to-image generation model. [Strengths] It delivers state-of-the-art aesthetic quality, high-resolution outputs (up to 2K), and exceptional prompt adherence. [Best For] Highly recommended for: professional concept art, photorealistic portraits, and high-fidelity image generation. [Limitations] Do NOT use this model if you need to strictly reference or edit an existing image. [Routing] Use this as the default model for all text-to-image requests on the Kling platform.

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