Prompt Workshop
Why it is written this way
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I want to create an image with visible text. The intended phrase is "{{Text to Include}}", and the image will be used for: {{Image Purpose}}.
Please provide two different prompt options. Option 1 should be an English prompt that instructs the AI image generator to render the text directly. Option 2 should be an English prompt that leaves clean, empty negative space instead of rendering text, allowing me to overlay the text later using an editing tool.
Format each option as a single-line English image prompt, followed by a one-line explanation of the text placement and ideal use case. Under Option 1, display the exact English text to be rendered on a separate line. Under Option 2, specify the location and approximate area size of the reserved empty space.
Since image generators often garble long phrases, condense the text for Option 1 into a short alphanumeric phrase of no more than three words. If simplifying the phrase alters the original meaning, explain the difference. Do not include specific font names, trademarks, logos, or real-world brand signs. Ensure the text does not overlap central subjects.
After drafting both options, self-check to ensure Option 1 contains no more than three words and Option 2 leaves sufficient empty space for the original text. Correct any issues and present only the final version.
- Material What the AI needs to know ×1
- Work What to do, and how ×2
- Output What comes back, in what shape ×2
AI image generators struggle with rendering text because they do not understand letters as typography—they see them as visual patterns. Complex scripts or lengthy phrases often end up as distorted, illegible scribbles.
Read the full explanation · 3 paragraphs
Splitting the request into two paths in the Task paragraph is the core of this prompt. Rendering text natively versus reserving blank negative space serve entirely different workflows. Instead of discovering garbled text after the generation, having both options ready lets you choose the best route immediately.
The Format paragraph ensures essential evaluation metrics are provided: the exact rendered wording for Option 1 and the layout of the blank area for Option 2. These two details determine whether the asset is usable.
The Constraints paragraph limits failure points. The three-word restriction minimizes rendering artifacts, while requiring notes on meaning shifts keeps your messaging accurate. Finally, the Review step ensures the model validates word counts and spacing before delivering the output.
Unfamiliar terms? See Aha AI: output-format, prompt
Compared with a bad example
Create a cozy cafe poster image with "Fall Specials" written in large bold letters across the front.
This prompt often produces mangled, pseudo-lettering right across the center of the image. Even if the background looks great, fixing the garbled text requires complex editing because no clean negative space was reserved for manual text overlay.
Variations
When creating a consistent series template
For a cohesive series, the text placement must remain consistent across batches. Isolating the negative space instruction ensures you can reuse the same layout formula.
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I want to create a series of images where only the text changes across templates. The current phrase is "{{Text to Include}}" and the intended use is: {{Image Purpose}}. Write an English image prompt that consistently reserves empty text space in the exact same position and size. Separate the prompt into two distinct parts: the visual scene description and the reserved negative space parameter, so I can reuse the layout for future variations.
When you need a blank background sign or billboard
Text on background signs almost always distorts. Requesting a blank surface provides a clean canvas to add crisp typography later.
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I need an image with a visible sign or billboard in the background for: {{Image Purpose}}. Write an English image prompt that renders the sign completely blank or with subtle, unreadable textures rather than legible letters. Frame the sign from a nearly front-facing angle to make it easy to overlay text later using an editing tool.
Model notes
Text rendering capabilities vary significantly across tools. If the model garbles short phrases after two or three attempts, generate the image using Option 2 (empty space) and overlay the text in a graphic editor like Canva or Photoshop.
Text rendering performance varies significantly across AI image models (e.g., Midjourney, DALL-E 3, Ideogram, Flux). Generate both options initially to test what your specific tool handles best, then stick to that preferred workflow for future prompts.
Last updated 2026-09-02 · Found a mistake? Let us know