Kling AI Prompt Generator

What is Kling AI?

Kling is an AI video generator developed by Kuaishou, the company behind the Kuaishou short-video platform. It can create clips from a text description (text-to-video) or animate a still picture (image-to-video), and it has gone through several versions with improvements in motion, realism and prompt following. It is available through the Kling website and app, and through an API for developers. Features, clip lengths and credit costs differ between versions and plans, so check Kling’s current information before you plan a project.

Kling is known among creators for convincing physical motion: people walking, fabric moving, vehicles turning, liquids splashing. To get the most from it, your prompt should spend more words on movement than many image prompts do.

How to structure a Kling prompt

A reliable pattern for Kling is subject, then motion, then camera, then environment and look:

1. Subject: a short, concrete description (“a young woman in a yellow raincoat”).
2. Motion: the main action with speed and direction (“runs toward the camera, splashing through puddles”).
3. Camera: shot size and one movement (“low-angle tracking shot moving backward with her”).
4. Environment: setting, weather, time of day.
5. Lighting and style: “overcast soft light, cinematic, realistic textures”.
6. Optional negative prompt: “blurry, distorted hands, extra limbs, flickering”.

Text-to-video vs image-to-video prompts

For text-to-video, you describe everything: the look and the motion. For image-to-video, the uploaded image already defines the subject, style, colors and composition. Repeating all of that can confuse the model or cause it to drift away from your picture. Instead, describe only what should change over time: the movement of the subject, background motion such as wind or water, and the camera. Short, specific motion prompts usually work best for image-to-video.

Kling AI prompt examples

A lone samurai in dark armor stands in a dense bamboo forest. He slowly draws his katana, the blade catching a sliver of light, as a gust of wind bends the bamboo and scatters leaves across the frame. Medium shot, slow push-in, slightly low angle. Misty morning light filtering through the canopy, muted greens. Cinematic, realistic.
Negative prompt: blurry, warped sword, extra fingers, flicker

She slowly turns her head toward the camera and breaks into a gentle smile; loose strands of hair move in a light breeze. Subtle handheld camera, very slight push-in. Keep her face, outfit and background unchanged.

A red sports car drifts around a tight mountain hairpin at sunset, rear tyres smoking, gravel spraying from the edge of the road. Aerial drone shot following the car through the turn, then rising to reveal the valley. Warm golden backlight, long shadows, high dynamic range. Realistic, high-energy commercial style.

Tips for better Kling results

• check_circleDescribe motion with verbs and adverbs: “slowly”, “suddenly”, “drifts”, “bounces”, “glides”.
• check_circleOne main camera move per clip. Kling handles a single smooth movement more reliably than several.
• check_circleUse the longer duration option only when the action needs it; shorter clips are often cleaner.
• check_circleFor character consistency across clips, start from the same reference image and use image-to-video.
• check_circleKeep negative prompts short and focused on visual artifacts rather than story elements.
• check_circleIf motion looks too weak, add intensity words (“energetic”, “dramatic”); if it is chaotic, remove them.

Mistakes to avoid

• check_circleRe-describing the uploaded image in image-to-video mode, which can cause the subject to morph.
• check_circleAsking for complex multi-step stories in a single short clip.
• check_circleMixing incompatible camera instructions such as “static” and “tracking”.
• check_circleExpecting long, readable text inside the video.
• check_circleUsing real celebrities or trademarked characters, which platforms commonly block.

How this Kling prompt generator works

Your idea and the creative controls you select are sent to an AI model with instructions written for Kling: describe the subject concisely, spend most of the words on motion and camera, keep to one main camera move, and add a short negative prompt line for common artifacts. If your idea mentions image-to-video, the prompt concentrates on movement and leaves appearance to your picture. Controls left on “Auto” are decided by the AI; anything you choose is kept exactly.

You get honest feedback when something goes wrong: if the AI service is unavailable or you hit the free limit, the page says so rather than showing filler text.

Build more prompts

If you have a reference clip, upload it to Video to Prompt to extract its subject, motion and camera work, then adapt it for Kling. For longer stories, the Video Prompt Generator creates scene-by-scene breakdowns you can generate one shot at a time, and the JSON Prompt Generator helps you keep prompts organized.

Frequently asked questions