Kling AI prompt generator

The Kling prompt formula

Kling responds well to prompts where motion is stated clearly and early. The builder follows the order subject plus action, scene, camera, lighting, style, then technical lines:

A barista pours steamed milk into a cup, forming a heart-shaped latte art. Scene: a sunlit specialty coffee shop with plants and a wooden counter. Camera: Extreme close-up, slow zoom in. Lighting: soft diffused studio lighting. Style: professional product photography, cozy atmosphere. Sound: milk pouring, quiet café chatter.
Duration: 5s · Aspect ratio: 9:16
Negative prompt: blurry, distorted hands, text, watermark

For Kling, the sound line is included because newer Kling versions can generate audio; if yours does not, it is ignored or you can delete it. For Wan, the builder omits the sound line. Dialogue, if you add it, is written as “The character says: "..."”.

The order matters: when the action sits at the end of a long description, the model often renders a beautiful but static scene. Leading with the verb keeps the motion in focus.

Text-to-video versus image-to-video

Kling offers both modes, and the prompt should change with them.

• Text-to-video: the prompt must describe everything — subject, appearance, setting and style. Use all the fields.
• Image-to-video: the image already defines how things look. Focus the prompt on motion and camera: what moves, in which direction, how fast. Leave style mostly empty so it does not fight the image.

A good image-to-video prompt can be as short as “The woman slowly turns her head toward the window and smiles. Camera: static shot.” If you need help describing a still, run it through image to prompt first, then keep only the motion you want to add.

Using the negative prompt box

Kling has a separate negative prompt field, so the builder places your exclusions on their own line, ready to paste there. Useful terms for video are different from images: think about motion and overlays, not only quality.

Keep it short and specific. For bigger exclusion lists by category, use the negative prompt generator and copy the terms you need.

Getting smoother motion

• One action per clip, described with a precise verb: pours, spins, lifts, glances.
• Describe speed: “slowly”, “in one continuous motion”.
• Pick one camera move; a static camera often gives the cleanest result for detailed hand actions.
• Short clips first: test at the shortest length, then extend once the motion looks right.
• Say how the movement ends (“and stops, looking at the camera”) so the clip has a clear final pose.
• Avoid small on-screen text; letters rarely stay stable across frames.

To compare how the same shot reads in Veo 3, Sora 2 or Runway, switch the model in the AI video prompt generator. Kling's modes, lengths and features vary by version and plan, so check the options in your Kling account.