Reference
This Kling prompt generator example starts with a rain-lit street reference and shows how RefPrompt converts it into still-image, video, Midjourney, and Kling-specific outputs without flattening the motion into generic cinematic language.
RefPrompt translates the frame into a Kling-ready sequence by separating the photographic look from the moving parts: camera drift, rain behavior, light flicker, subject pace, and scene stability.
What this workflow covers
Use this Kling prompt generator page when you need a reference image, extracted art direction, a still-image prompt, a video prompt, a Midjourney version, a Kling version, and a focused negative prompt in one copy-ready workflow.
Style Breakdown
The breakdown identifies which elements Kling must maintain over time, especially reflections, background depth, and the relationship between the figure and the street.
Image Prompt
This prompt freezes the scene as a strong keyframe before it becomes a Kling motion brief.
Cinematic rainy night street, solitary figure walking through wet asphalt reflections, warm sodium-vapor streetlights, cool shadowed buildings, shallow depth of field, subtle mist, reflective road texture, grounded urban realism, moody film still, controlled contrast, atmospheric background blur.Video Prompt
The general video prompt adds movement while keeping the shot readable.
Low-angle tracking shot behind a solitary figure walking slowly down a rain-slick night street. The camera follows at a measured pace, reflections stretch across the asphalt, mist moves gently through warm streetlight, and distant lights stay softly blurred. Keep the subject stable, motion natural, and atmosphere cinematic without exaggerated rain or chaotic camera shake.Midjourney Version
Midjourney receives a compact image-first composition with texture and lighting emphasis.
rainy night street, solitary figure, wet asphalt reflections, warm sodium streetlights, cool urban shadows, subtle mist, cinematic film still, shallow depth of field, grounded realism, moody contrast --ar 16:9 --style raw --v 6Kling Version
Kling benefits from precise continuity notes: subject speed, camera distance, reflection stability, and atmospheric restraint.
Create a 6-second cinematic tracking shot. The camera follows a single figure from behind at walking speed, low to the ground, keeping the figure centered while wet asphalt reflections slide naturally under frame. Light mist crosses the street slowly. Preserve the same buildings and streetlight positions throughout the shot. No cuts, no speed ramp, no warped legs, no changing clothing, no flickering road texture.Negative Prompt
For Kling, most problems come from unstable bodies, flickering reflections, and overdone atmosphere.
extra limbs, warped walking cycle, duplicated subject, flickering reflections, changing street layout, over-heavy rain, neon color cast, smeared face, shaky handheld camera, speed ramp, sudden zoom, puddle artifacts, plastic-looking asphalt, noisy low-light texture, ghosting, frame blending.CTA
Use the same page structure inside RefPrompt: start from a visual reference, then copy the prompt version that fits the tool and channel.
Try this workflow with RefPrompt.A strong Kling prompt should include subject movement, camera distance, shot duration, environmental motion, lighting continuity, and specific artifacts to avoid. This page uses those parts to turn a rainy street reference into a stable cinematic clip.
Yes. The still reference defines the look, while the Kling version adds movement instructions: walking speed, low tracking camera, stable street layout, and controlled mist and reflections.
The Midjourney version is compact and visual because it creates a still frame. The Kling version is longer because it needs motion, pacing, subject continuity, reflection stability, and restrictions against frame-to-frame drift.