How to Get Photorealism Instead of the AI Look

A generated image is often identified at a glance, even without obvious defects like six fingers. The cause is a set of small tells, each unremarkable alone, that together produce the sense that this was drawn.

Tell one: too clean

A real photograph is imperfect. It has noise in the shadows, slight softness at the edges, dust, uneven lighting, a stray object in the corner. Generation by default delivers a perfectly clean scene — and that perfection is what gives it away.

The technique: ask for imperfection explicitly. "Film grain", "soft focus at the edges", "natural skin irregularities", "an incidental object in frame" all add credibility.

Tell two: flawless skin

Smooth skin with no pores, lines or unevenness is the most visible marker. The human eye has trained for years on real faces and instantly distinguishes a statistically averaged surface from a real one.

The technique: specify texture explicitly. Phrases like "visible skin texture", "natural pores", "fine lines around the eyes" shift the result towards realism. For photo-based portraits, a source without beauty retouching helps.

Tell three: light with no source

Generation often produces lighting that comes from nowhere: the face evenly lit from all sides, no shadows, and no diffusing surroundings either. Physically such light is impossible.

The technique: name the source. "Window light from the left", "a desk lamp in front of the face", "a streetlight behind" — the model builds a coherent setup when it knows where the light comes from.

Tell four: composition without a reason

A real photograph is taken from somewhere for some reason: it has a camera position, a motive for the framing, sometimes an accident. Generation often delivers a perfectly centred frame with no motivation at all.

The technique: specify the shooting situation, not just the content. "Shot through a doorway", "a reportage frame from the side", "from table height" adds the logic of a viewpoint.

Tell five: optics

Real lenses have character: edge distortion, a particular blur signature, vignetting, depth of field that depends on distance. Generation by default gives you no optics at all.

• State the focal length in terms photographers use: portrait, wide, telephoto.
• Ask for characteristic bokeh, or conversely for deep focus.
• Add "slight vignetting" for naturalness.

Tell six: colour

Generation tends towards saturated, pleasant colour. Real photographs more often carry a cast: warm from incandescent light, cool in shade, greenish under fluorescents.

The technique: state the lighting conditions by temperature — "overcast daylight", "late afternoon sun", "tungsten light". Colour imperfection works for credibility.

Tell seven: pose and expression

Generated people often stand and look too neutrally — as in a catalogue. Real photographs catch intermediate states: a half-smile, a glance away, an unfinished gesture.

The technique: describe a moment rather than a pose. "Looking past the camera as if distracted", "a smile just beginning" produces liveliness.

A checklist for a photorealistic request

1. The light source is named, and there is one.
2. Shooting conditions are stated: where, when, from what position.
3. Optics are described in photographic terms.
4. Skin and material texture is mentioned explicitly.
5. One imperfection is added: grain, vignette, edge softness.
6. A moment, not a pose: a state is described rather than a static position.

The inverse task

Sometimes the AI look is exactly what you want: for a decorative illustration, a cover, a fantasy scene. Then every technique above runs in reverse: clean light, perfect surfaces, saturated colour and centred composition deliver precisely that.

The mistake occurs only when the author wants a photograph and gets an illustration, without understanding what the difference is made of.