What is Prompt Engineering for AI?

Subject, Camera, Environment, Lighting, Action: a structured approach to AI video prompts that covers the five key elements models need to generate accurate output.

Precise descriptions outperform vague ones. 'Golden retriever running through autumn leaves, tracking shot, warm sunset' beats 'dog in park'. Include concrete details about subjects, actions, and style.

Specify what to exclude. Negative prompts like 'no blur, no distortion, no extra limbs' help models avoid common artifacts, especially in image generation.

Beyond text, most AI models expose parameters like CFG scale (prompt adherence), seed (reproducibility), steps (quality), and temperature (creativity) that fine-tune generation.

Effective prompting is iterative: generate, evaluate, adjust. Start with a broad description, then add or modify details based on the output to converge on your intended result.

Each model has prompt preferences. Midjourney uses aspect ratios (--ar 16:9), Stable Diffusion uses weighted tokens (word:1.5), and video models respond to temporal cues (slow motion, time-lapse).