Prompt an AI for “old man alone at a booth, lonely and sad, cinematic lighting, 8k” and you get exactly what you asked for: blue color grading, a thousand-yard stare, and rain on the window. Because of course there’s rain. It’s polished and it’s empty.
A Reddit post on r/PromptEngineering offers a cleaner way out. Don’t tell the model what the viewer should feel. Describe what a camera would actually see, and let the viewer do the feeling.
The key idea
When you write “lonely and sad,” the model reaches for the most average version of lonely and sad in its training data. That’s the cliché pile. Evidence works differently. A full cup of tea nobody is drinking points somewhere specific, and the viewer fills in the rest.
The author calls this testimony-to-evidence transduction. Fancy name. The process is simple.
Old way vs. new way
The old way: name the emotion, add quality words (“cinematic, 8k, award-winning”), hope for the best. You’re asking the model to illustrate a feeling.
The new way: build a scene out of physical details that only add up to the feeling if you look closely. You’re asking the model to photograph a situation.
One commenter added a good point here. Cut the finish words too, not just the emotion words. “Cinematic lighting, 8k” drags the image toward glossy stock-photo territory all on its own.
The 5 steps 🧭
- Write the scene from the inside. Before the image prompt, write a few sentences from the point of view of someone living in that moment. Example: “He still puts out two cups every morning. He hasn’t forgotten. It’s just that hers is the last place in the house where anything still waits for her.” This stays out of the final prompt. It’s scaffolding so you know what’s really going on.
- Turn it into visible evidence. Ask what a camera could capture. For our example: an elderly man holding a teacup with both hands, a second untouched cup across the table, folded reading glasses on the windowsill, low winter morning light, a slightly misbuttoned cardigan, his gaze on the empty seat. Notice none of that says grief or loneliness.
- Keep one detail that doesn’t explain itself. A rubber band around his wrist. It doesn’t have to mean anything. Explaining it would weaken it. It’s the detail that makes the scene feel particular instead of assembled from familiar tropes. A commenter put it nicely: a rubber band does more heavy lifting than a thousand cinematic rain shots.
- Give the image a point of view. Don’t shoot from nowhere. Say where the camera is. Here, a kitchen doorway with the doorframe slightly out of focus in the foreground. Now we’re peeking into a private moment, and that changes how the picture feels.
- Remove the obvious version. Name the most predictable take (widower staring through a rainy window) and strip out whatever pushes toward it. You don’t have to kill every familiar element. Just don’t make them carry the emotion.
The resulting prompt
Candid 35mm documentary photograph, taken from a kitchen doorway, slightly off-center. An elderly man sits at a small table in low winter morning light, holding a teacup in both hands. Across from him, a second teacup sits full and untouched. A pair of reading glasses rests folded on the windowsill. His cardigan is buttoned one button off, and a rubber band is looped around his left wrist. He looks at the untouched cup rather than the window. Muted natural colors, subtle film grain, the edge of the doorframe softly out of focus in the foreground.
No “sad” anywhere. Still reads as sad.
Be honest about what this proves
The author is upfront here, and I like that. They haven’t run controlled comparisons across models, so this isn’t a proven win. Models can ignore key details, overemphasize the wrong ones, or make something that looks staged despite the documentary framing. Piling on more details can also make the composition fall apart. And dropping emotion words doesn’t automatically make an image feel authentic.
So treat it as an experiment worth running, not a law.
Run the test yourself ✅
Use the same subject and settings, and generate several images for each prompt:
- A: a conventional prompt that names the emotion.
- B: evidence only, no inside-the-scene writing.
- C: the full five-step process.
Shuffle them and ask a friend to rate which feels most emotionally real, without telling them which is which. If B matches C, you can skip step 1 and save time. If C wins, the inside-the-scene writing is doing real work.
Your move
Pick one image you’ve been fighting with, the kind that keeps coming out glossy and hollow. Delete the emotion word, write three sentences from inside the moment, and swap in evidence plus one weird little detail. Then run A, B and C and see which one lands.
If you try it, tell us which model you used and what changed. I’m curious whether the rubber band survives every model!
Frequently Asked Questions
Q: Should I drop words like ‘cinematic lighting’ and ‘8k’?
One commenter says yes. Finish words like cinematic lighting, 8k, and award-winning pull the image back toward the glossy stock look, even when your evidence is good. Swap them for a physical light source, like low winter sun through a kitchen window with dust in the air, so the light becomes part of the scene instead of a style label.
Q: How do I make the image feel less like a staged photo?
Describe the camera as a witness, not a photographer. Something like a candid snapshot taken from the doorway, slightly off-center, with the second cup half out of focus. Perfect framing and even sharpness are what make AI images look like plastic, so let some things fall soft.
Q: How do I know if my prompt has enough evidence?
Delete every adjective that names a feeling, then read what’s left. If a stranger can still tell what happened, the frame has enough evidence. If they can’t, add one more visible detail that does the emotional work without naming it, like a misbuttoned cardigan or a rubber band on a wrist.
Q: Do I need the scene-writing step, or is describing what happened before the photo enough?
Commenters see these as the same idea. One says their version was always to describe what happened before the photo was taken. Either way, the point is to know the backstory first so your visible details come from something real instead of from a list of moods.
I tried a different approach to prompting for emotionally resonant images: describe the evidence, not the emotion.
by u/StringNo6993 in PromptEngineering