How AI generates images and video: an explanation without equations

A prompt communicates the subject, setting and other constraints. Many image and video systems build a representation through a sequence of refinement steps; diffusion is one widely used family of approaches. The exact architecture differs between models.

The useful idea for a creator is that the system proposes a visual interpretation. It does not know which detail is essential to your client unless the brief and references make that importance clear.

A source image supplies appearance and composition more directly than a verbal description. Supporting references can convey a material, character or environment. They still have to be interpreted by the selected workflow.

Explain each file’s role. Conflicting images or instructions can make the task ambiguous, and a reference does not guarantee exact identity, product geometry or lettering. Keep the original for comparison.

Video needs coherence across time as well as a convincing frame. The subject, viewpoint, light and motion must remain understandable from beginning to end. A model can create a beautiful first image and still change a hand, face or object later.

Describe one clear action and a camera instruction that supports it. If a story requires exact cuts or several distinct actions, separate shots are often easier to review and assemble than one overloaded request.

Reduce unnecessary changes, make important details visible in the source and evaluate the whole result. A strange hand is not solved merely by asking for a larger file. An unclear movement reference is not repaired by a more enthusiastic adjective.

Generated visuals can illustrate an idea, but their plausibility is not evidence of historical, scientific or factual accuracy. Use authoritative material for the claim and treat the generation as a reviewed creative representation.