Writing Prompts That Work

1. Subject — what it is, specifically. A heron, not a bird.
2. Action or state — what it is doing. Mid-stride through shallow water, not just standing there.
3. Setting — where, and when. A tidal estuary at first light.
4. Medium or style — what kind of image this is. 35mm photograph, gouache illustration, charcoal study.
5. Light — the single highest-leverage word group in the whole prompt. Low backlight, mist catching the sun.
6. Framing — where the camera is. Low angle, long lens, subject small in frame.

Watch it build:

• a heron → a stock bird on a white background
• a heron mid-stride through shallow water → now it's a scene
• …in a tidal estuary at first light → now it has a world
• …35mm photograph → now it has a medium, and stops looking like a render
• …low backlight, mist catching the sun → now it has mood, and this is where most of the quality arrives
• …low angle, long lens, subject small in frame → now it has a point of view, and it looks authored

Put the subject first. Most models weight the front of a prompt more heavily. Whatever the image is about should be in the first handful of words.

Cut the adjectives that describe quality rather than content. Beautiful, stunning, masterpiece, 8k, highly detailed, award-winning were load-bearing in 2022 and are mostly noise in 2026 models — they crowd out the words that are actually doing work. If a word doesn't change what a viewer would see, delete it.

Dialect 1 — Natural sentences. Write as you would brief a person. Used by GPT Image, Gemini/Nano Banana, Midjourney, Ideogram, FLUX, Runway, and essentially every tool built on a conversational model.

A low-angle 35mm photograph of a heron mid-stride through a shallow tidal estuary at first light, low backlight with mist catching the sun, the bird small in a wide frame.

Full sentences genuinely help here — the language model uses grammar to work out what modifies what. "A red car and a blue house" survives as a sentence; as tags it becomes a colour soup.

Dialect 2 — Comma-separated tags. Short descriptors, most important first. Used by Stable Diffusion and its descendants, and by most open-weight and anime-focused models.

heron, mid-stride, shallow estuary water, first light, backlit, mist, 35mm photo, low angle, wide shot

These models read more literally and weight roughly by position, so ordering is your emphasis. Many also accept explicit weights and a separate negative prompt field for things to avoid — which, unlike writing "no X" in your sentence, actually works.

A quick way to tell which you're in: if the tool has a chat box and answers you back, it's dialect 1. If it has a second text box labelled negative prompt, it's dialect 2. If in doubt, write a natural sentence — every modern model tolerates it, while tag soup confuses the conversational ones.

Platform-specific extras are worth ten minutes of reading. Aspect ratio, stylisation, reference weighting and version flags are all per-platform, they change every few months, and every vendor documents them properly. Read your tool's own guide once; skip anyone's list of "magic prompt words".

Light — the highest-leverage category, and the one beginners underuse most.

• Direction: backlit, side-lit, top light, underlit
• Quality: hard shadows, soft diffused light, overcast, dappled
• Time and source: golden hour, blue hour, noon sun, candlelight, sodium streetlight, screen glow
• Contrast: high-key (bright, low contrast), low-key (dark, dominated by shadow), chiaroscuro

Camera and framing — this is how you control composition.

• Shot size: extreme close-up, portrait, medium shot, wide establishing shot
• Angle: eye level, low angle, high angle, overhead, Dutch angle
• Lens behaviour: wide angle (expansive, distorted edges), long lens (compressed, shallow focus), macro, fisheye
• Depth: shallow depth of field, everything in focus, foreground framing

Colour — describe a relationship, not just a hue.

• Muted earth tones, high-saturation neon, monochrome with a single red accent
• Complementary orange and teal, analogous blues and greens, desaturated with warm highlights

Surface and material — what makes an image feel touchable.

• Weathered, polished, matte, translucent, wet, dusty, hand-worn
• For illustration: visible brushwork, heavy grain, clean vector edges, rough ink line

A practical drill. Take three images you wish you had made. For each, write six lines: subject, light, colour, framing, medium, and mood. Do that for a week and your prompting improves more than any template will manage. You are building the vocabulary; the tools already speak it.

Describe the mechanics instead of naming the style. This is the technique that works on every model, never goes stale, and gives you something nobody else has. Instead of in the style of [artist], specify what actually produces that look:

• Medium and tool: gouache on toned paper, ballpoint pen, linocut, 35mm colour negative, wet-plate collodion
• Mark-making: visible brush texture, hard-edged flat colour, cross-hatching, heavy impasto, airbrushed gradients
• Palette and light, as in the previous section
• Era and context: 1970s sci-fi paperback cover, mid-century travel poster, 1990s film still, Edo-period woodblock

Four such phrases will out-perform an artist's name almost every time, and the result will be yours.

Where naming still helps: movements and genres (Art Nouveau, Brutalist, Ukiyo-e, Bauhaus, cyberpunk), which are broad, well-documented and not attached to a living person's livelihood.

Where it fails: individual living artists — often absent from the model, unpredictable when present, restricted or blocked on several major platforms, and a genuine ethical problem when the artist is alive and working. Most agencies and clients now have a policy on this; if you work commercially, ask before you use it.

Style references beat style words. Nearly every 2026 tool accepts an image as a style reference, and passing your own work, your own photographs, or your own mood board is more precise than any sentence, more defensible than an artist's name, and yields a look that's consistently yours. If you take one thing from this section: build a reference folder before you build a prompt library.

A working loop:

1. Start short. Subject, setting, medium. Four or five generations. You are looking for a direction, not a final image.
2. Pick the closest one and lock its seed. Now you have a stable base and every change you make is legible.
3. Change one thing. The light. Then the framing. Then the palette. Note what each word actually did — this is how you build real intuition rather than folklore.
4. Switch from generating to editing. Once composition is right, stop rerolling. Inpaint the problem areas, extend the canvas, adjust by conversation. Rerolling a good image to fix a small flaw usually loses more than it gains.
5. Finish outside the tool. Upscale, then colour-grade, crop and retouch in whatever you normally use. Almost no professional output ships straight from the generator.

Habits worth having:

• Keep a prompt journal. Prompt, seed, tool, settings, and one line on what worked. This is also your evidence of authorship if you ever need to prove it — see the section on copyright.
• A/B a single variable. Two generations differing by one phrase teach you more than twenty random ones.
• Reroll before you rewrite. If a prompt gives one good result in five, the prompt is fine and you were unlucky. Judge a prompt on four generations, not one.
• Know when to stop prompting. Some things are faster to fix in Photoshop in thirty seconds than to coax out of a model in thirty minutes. Prompting is a tool in your workflow, not the whole of it.