# 3 Rules for Realistic AI Video Generation (Kling)

> Prompt formula and best practices for realistic AI video generation

A practical framework for structuring prompts and selecting input frames when generating video with Kling AI. It emphasizes concise language, a structured sequence covering subject, setting, action, and camera controls, and prioritizing quality initial keyframes over complex text.

## How it works

Rule 1: Don't overload the prompt with long descriptive sentences. More words do not equal better results. Keep prompts short and focus only on essential scene details.

Rule 2: Write your prompt sequentially in this specific order:

1. Subject (e.g., 'a guy in a Blue Jacket')

2. Environment (e.g., 'at Stadium')

3. Action (e.g., 'playing basketball')

4. Camera Angle (e.g., 'close up')

5. Camera Movement (e.g., 'handheld camera')

Rule 3: A great start frame matters more than a great prompt. In image-to-video, using a high-quality keyframe with an average prompt consistently outperforms an average keyframe with an elaborate prompt.

## What it is for

- Structure concise text prompts for Kling and similar video models
- Control character action and camera motion sequentially
- Improve consistency in image-to-video generation workflows

## Key points

- Keep prompts minimal and avoid redundant descriptive clutter
- Sequential structure: Subject, Environment, Action, Camera Angle, Camera Movement
- Prioritize a high-quality starting image over an overly complex prompt

## Pricing

Free

## Details

- Type: Tip
- Category: [AI](https://xiry.app/topics/ai.md)
- Topic: [Prompt Engineering](https://xiry.app/topics/ai/prompt-engineering.md)
- Open source: no
- Platforms: Web
- For: AI video creators and prompt engineers using Kling or similar models
- Tags: kling, ai video, prompting, generative ai, image to video

## Why it was saved

- [@higgsfield.ai, 7 February 2026](https://www.instagram.com/reel/DUdq5EVghUG/): Prevents overcomplicated prompt clutter and ensures consistent character movement, camera direction, and visual fidelity.

## Related

- [Prompt Engineering (Google Whitepaper)](https://xiry.app/resources/prompt-engineering-google-whitepaper-2086): A comprehensive guide to prompt engineering techniques and LLM parameters by Google. (Article or course, Free)
- [50+ Nano Banana Pro Prompt Library](https://xiry.app/resources/50-nano-banana-pro-prompt-library): Curated collection of 50+ tested prompts for Nano Banana Pro image generation (Prompt, Free)
- [AI Voice Receptionist Prompt Template](https://xiry.app/resources/ai-voice-receptionist-prompt-template): Prompt framework to build structured conversational scripts for voice agents. (Prompt, Free)
- [Anthropic Console Prompt Generator](https://xiry.app/resources/anthropic-console-prompt-generator): Turn rough task descriptions into structured, production-ready AI prompts automatically (Web app, Freemium)
- [awesome-nanobanana-pro](https://xiry.app/resources/awesome-nanobanana-pro): Curated repository of prompts and styles for the Gemini Nano Banana model (GitHub repo, Open source)
- [Cinematic Prompt Engineer for AI Video](https://xiry.app/resources/cinematic-prompt-engineer-for-ai-video): System prompt to convert rough concepts into detailed AI video prompts (Prompt, Free)

Updated 3 October 2026. Page: https://xiry.app/resources/3-rules-for-realistic-ai-video-generation-kling

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