Most people write image prompts by staring at a blank box and typing whatever comes to mind. This technique does the opposite. It hands the chatbot a pile of random characters and asks it to find poetry in the noise. The result is a prompt you would never have written yourself.
Ahoy, Captain YAR here. A Reddit user, u/Elven77AI, shared this in r/PromptEngineering, and it’s a neat trick for anyone who is tired of generating the same dozen scenes.
The Key Idea
When you ask an AI to “come up with something creative,” it reaches for the safest, most average answer. That’s why so many outputs feel samey. Ask ten different people’s chatbots for a “mysterious scene” and you will get a lighthouse, a misty forest, or a neon city at night. Random characters give the model a seed it can’t predict or fall back on. Add a poetic instruction on top, and the model turns that seed into a vivid image description instead of analyzing it. Think of it as handing the model a stranger’s handwriting and asking what song it hears. There is no popular answer to lean on, so it has to invent one.
Old Way vs. New Way
The old way: You type “a mysterious forest at dawn” or ask the AI for “10 creative image ideas.” You get polished, predictable results. The model leans on the same popular imagery every time, so your outputs cluster around the same themes. After a week of this, your image folder looks like one long series of near-duplicates, just with different lighting.
The new way: You let randomness pick the starting point. The AI doesn’t choose the theme, you don’t choose it, and the string does. The poetic instruction then forces the model to write a scene, not explain the characters. You might get a cracked teacup on a windowsill as a thunderstorm approaches, or a rusted bicycle half buried in snow with a single lit window behind it. Neither of those is a prompt most of us would type on a Tuesday afternoon.
The trick that makes this work is the last line. It tells the AI to describe the poetic image without referencing the elements of the string itself or their names. Without it, the model tends to say “this string contains Q, R, and N, which suggests…” and you get analysis instead of imagery.
How To Do It ✨
- Get random characters. Grab a chunk at least ~200 characters long. The original post suggests a quantum random generator like the ANU QRNG alpha block page, but any truly random source works. Longer is better, because a bigger block gives the model more unusual material to work with.
- Append the poetry instruction. Add this to the bottom of the string: (look and think of most poetic thing you can associate with content of this string as a hyper-detailed moment in time, without referencing the elements of the string itself or their names)
- Paste it all into a chatbot. Send the random string plus the instruction as one prompt. Start a fresh chat each time, so earlier replies don’t nudge the model toward a theme it already used.
- Use the output as your image prompt. Copy the description into your image generator. If the text runs long, keep it whole on the first try. The extra detail is often where the interesting stuff lives, and you can trim afterward.
Troubleshooting Tips 🛠️
- The AI thinks it’s a hash or a code. Replace underscores and dashes in the string with spaces. Some models treat the raw string as a hashcode and refuse to play along.
- The AI refuses the poetic instruction. This is unlikely, but if it happens, rephrase with synonyms. The recipe has three parts: a direction (“look and think”), a poetic term (“most poetic thing”), and a writing description (“hyper-detailed moment in time”). Keep all three and the model should behave.
- You want a specific flavor. Swap “moment in time” for something like “fantasy scene” or “90s anime screenshot.” The randomness stays, but the style gets steered.
- The output is too abstract for your image tool. Add a short line asking for concrete visual details like lighting, colors, and camera distance. The poetry stays, and the generator gets something it can actually draw.
One Honest Caveat 🧭
One commenter, u/azuremoon22, said they get the same prompt every time, a kitchen in the middle of the night. That’s a real failure mode, and it usually means the input isn’t doing its job. If you reuse the same string, or the string is short or patterned, the model collapses to its favorite answer. Generate a fresh, long block every single run. Another commenter, u/sveltehelper_8, called it a clever way to dodge AI over-literalness, and that’s the real strength here: you’re forcing the model out of its comfort zone.
Your Next Move
Grab a fresh random block, run the three steps once, and compare the result to the prompt you would have typed by hand. Then try the style swap (anime, fantasy, whatever fits your project) and see how far the same method stretches. Try five runs in a row and save your favorites in a notes file, because the best ones tend to surprise you. If you find a phrasing that works better, share it with the crew so we can all steal it!
Frequently Asked Questions
Q: Does this still work with really messy strings, like ones that are mostly numbers and dashes?
The post doesn’t test that case, so it’s worth a try. If the output drifts into vague cosmic imagery, swap the framing in step 2 for something more concrete, like ‘fantasy scene’ or ’90s anime screenshot’. A specific setting gives the model something to hold onto. Keep the ‘without referencing the elements of the string’ line either way, since that’s what stops the letter-by-letter breakdown.
Q: Why do I get the same scene every time?
If the output keeps coming back identical, the chatbot is probably working from a saved conversation or isn’t getting a fresh string each time. Start a new chat for every prompt and paste in a newly generated block of characters. If it still repeats, change the ‘moment’ wording to a different setting, since those framing words push the model toward one kind of scene.
Q: Why not just paste the random string on its own?
Without the added instruction, the model tends to give you a letter-by-letter breakdown of the string instead of an image. The poetic framing turns the string into a seed for a scene, and the ‘don’t reference the string’ line keeps the analysis out. Keep both parts in the prompt, because that second half is what does the work.
Random Prompt Generation[Technique]
by u/Elven77AI in PromptEngineering