Kling 3.0 - Text-to-Video & Image-to-Video Generator

Kling 3.0 - AI Video GeneratorCreate high-quality clips with Kling 3.0 (text-to-video and image-to-video)

Kling 3.0 is a next-gen AI video model built for clean motion, strong prompt-following, and flexible creation flows. Generate videos from a text prompt (text-to-video) or animate a start image (image-to-video), optionally adding a matching end image for smoother transitions. For longer storytelling, use multi-shot prompts to divide a clip into multiple shots. You can also add reusable elements (characters/objects) and enable native audio with optional voice IDs. Choose duration (3–15s) and aspect ratio (16:9, 9:16, 1:1) to fit any platform.

Why Choose Kling 3.0
Kling 3.0 is built for controllable motion, clean results, and faster iteration

Kling 3.0 helps you turn an idea into a video quickly—without giving up control. Start from text or a start image, choose your framing, extend storytelling with multi-shot prompts, and add optional audio and reusable elements for consistent characters and objects.

Kling 3.0 Prompt Control

Generate videos from text or a start image and guide action, camera movement, lighting, and pacing. Kling 3.0 is designed to follow detailed instructions while maintaining a coherent visual style.

Multi-shot Storytelling

Use multi-shot prompts to split a single video into multiple shots with per-shot prompts and durations—great for mini narratives, transitions, and structured storyboards.

Start + End Keyframes

In image-to-video, animate a start image and optionally provide an end image to steer how the clip concludes—ideal for before/after, product reveals, and controlled transformations.

Elements + Native Audio

Add element assets (image sets or videos) and reference them in your prompt for consistent characters/objects. Enable native audio and optionally supply voice IDs for dialogue-driven scenes.

Kling 3.0 FAQ

Everything you need to know about Kling 3.0

Common questions about Kling 3.0: what it is, how text-to-video and image-to-video work, and how to get the best results with prompts, keyframes, and elements.

Kling 3.0 is an AI video generation model that can create short clips from a text prompt (text-to-video) or animate a start image (image-to-video). It also supports multi-shot prompts, optional native audio, and element inputs for consistent characters/objects.

Both use Kling 3.0 flows and the same core controls (duration, aspect ratio, audio, elements). Pro is optimized for higher quality and more demanding use cases, while Standard is a fast, cost-effective option.

Provide a start image URL (or upload one), add a prompt describing motion and camera, then choose duration and aspect ratio. Optionally add an end image to guide the final frame and make transitions feel intentional.

Elements let you provide character/object assets as either an image set (frontal + reference images) or a video. You can then reference them in the prompt as @Element1, @Element2, etc., to keep identity and appearance consistent.

Yes. You can enable native audio generation for the clip. For voice-driven scenes, you can optionally provide voice IDs and reference them in the prompt for more controlled dialogue.

You can choose duration (3–15 seconds), aspect ratio (16:9, 9:16, 1:1), whether to generate audio, and (when using multi-shot) the shot type. You can also pass a negative prompt and adjust CFG scale depending on your integration.

Keep prompts specific and visual: describe subject, action, camera movement, lighting, and mood. For image-to-video, use a clean start image and a clear motion path; for multi-shot, write distinct shot prompts with explicit durations.

Still have questions? Contact our support team

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Start Creating with Kling 3.0

Kling 3.0 turns text and images into publish-ready video

Create a short clip with Kling 3.0 in minutes. Start from text or a start image, choose framing and duration, add elements for consistency, and enable native audio when you need it.

Kling 3.0 text-to-video and image-to-video
Optional end keyframes for guided transitions
Elements for consistent characters and objects
Native audio generation with optional voice IDs