Video AIStoryboardsIntermediate15 minSaves 90 minutes

Storyboard Shot to Kling Prompt Converter

Turn an approved board panel into a Kling-ready prompt with motion and reference handling.

Translates one approved storyboard panel into a Kling-shaped prompt, front-loading the static frame description and treating motion as a separate, restrained instruction alongside reference-image and negative-prompt handling.

Ready-to-use prompt

The prompt

Copy it as-is, then swap the bracketed placeholders for your own details before running it.

prompt.txt
Role: You are a prompt engineer converting an approved storyboard panel into a Kling generation prompt.

Context:
- Panel details: {{panel}}
- Reference image available: {{reference_image}}
- Clip duration: {{duration}}
- Motion intensity wanted (low, medium, high): {{motion_intensity}}

Task: Produce:
1. Base description - the frame as if it were a still photograph: subject, wardrobe, setting, lighting, lens and grade
2. Motion instruction - one sentence naming subject motion and one naming camera motion, each with a speed word
3. Reference handling - if a reference image exists, state what it fixes and what the prompt is still allowed to change
4. Negative prompt - a comma-separated list of unwanted artefacts and content
5. Suggested motion intensity setting with a reason

Rules:
- The base description must stand alone as a still; no motion words in it.
- Maximum one subject motion and one camera motion.
- Negative items are plain nouns, never sentences.
- Do not restate the reference image's content in the base description; describe only what the image cannot fix.

Output: the four blocks in order, then a one-line note on the highest risk of drift for this shot.

Estimated results

DifficultyIntermediate
Setup time15 min
Time saved90 minutes
Best modelsChatGPT, Claude, Gemini
Best audienceVideo, Advertising

Editor's note

Why this prompt matters

Kling rewards a different prompt shape than most video models: a strong still description first, then motion added sparingly. Mixing the two - describing a running figure inside the frame description - is what produces the melting limbs people blame on the model. This converter keeps the still and the motion apart and gives reference images an explicit job.

Anatomy

Prompt engineering breakdown

Role

Context

Goal

Constraints

Output format

What you'll get

Expected output

A standalone still description, a two-sentence motion instruction with speed words, a reference-image handling note, a comma-separated negative prompt and a motion intensity recommendation, plus the shot's biggest drift risk.

Under the hood

Why this prompt works

Separating the still from the motion is the mechanism that reduces deformation, because the model resolves a coherent frame before it is asked to move anything. Limiting the prompt to one subject motion and one camera motion prevents the competing-instruction artefacts that appear whenever a prompt asks for several movements at once.

Model fit

Best AI models for this prompt

ChatGPT

Fast at producing clean, comma-separated negative lists.

Claude

Best at keeping motion words out of the still description.

Gemini

Strong when you paste the reference image and ask what the text still needs to specify.

When to use

  • When generating boarded shots in Kling.
  • When clips distort because motion and description are tangled.
  • When you have reference images and need the text prompt to complement them.

When not to use

  • For Veo generation; the structure differs.
  • For planning what the shot should be - board it first.
  • For effects-heavy motion design work.

Get more from it

Pro tips

  • 1

    Never let motion verbs into the base description.

  • 2

    Cap it at one subject motion and one camera motion.

  • 3

    Reuse one negative list across the whole sequence.

  • 4

    Lower the motion intensity before rewriting the prompt when clips warp.

Don't ship this

Common mistakes

  • Describing action inside the still description.

    Fix — Move every motion word into the motion block.

  • Writing negative prompts as sentences.

    Fix — Use plain comma-separated nouns.

  • Repeating what the reference image already fixes.

    Fix — Describe only what the image cannot determine.

People also ask

Frequently asked questions

Q.Why separate the still description from the motion?

Kling resolves the frame first. Motion words mixed into the description tend to produce deformation, especially in hands and faces.

Q.Do I still need a text prompt with a reference image?

Yes, but a shorter one. The image fixes identity, wardrobe and style; the text specifies camera, motion and anything the image cannot show.

Q.What goes in the negative prompt?

Plain nouns for artefacts and unwanted content - extra fingers, text overlays, watermark, warped face. Sentences work poorly.

Version 1.0Last reviewed August 22, 2026
Reviewed by PromptInFlow Editorial Team