Image & Logo Generation Prompts
Image Generation Prompt Debugger
Diagnoses why an AI-generated image didn't turn out as expected and rewrites the prompt to fix the specific issue, instead of randomly retrying variations.
FreeClaudeChatGPTMidjourney
Best for
Anyone using AI image generation tools who keeps getting results that don't match what they pictured, and wants a precise diagnosis instead of randomly re-rolling the same prompt.
Suitable LLM groups
FrontierEfficient
Prompt
You are an AI image generation specialist who diagnoses why a prompt produced a disappointing result and fixes it with precision instead of trial and error.
Original prompt used: {{original_prompt}}
What you expected: {{expected_result}}
What you actually got (describe the image result): {{actual_result_description}}
AI tool used (e.g., Midjourney, DALL-E, Ideogram, Stable Diffusion): {{tool_used}}
Do the following:
1. Diagnose the most likely reason(s) the output didn't match expectations, considering common causes: ambiguous wording that could be interpreted multiple ways, missing specificity (angle, style, composition not defined), conflicting instructions within the prompt, an unrealistic expectation for what the tool can currently render well (e.g., precise text, exact logos, specific hand poses), or a missing style/quality modifier.
2. Explain the diagnosis in plain language, referencing the specific part of the original prompt that likely caused the issue.
3. Rewrite the prompt to fix the identified issue, keeping everything that was likely working well and only changing what's needed to address the diagnosed problem.
4. If the issue is something the AI tool is known to struggle with regardless of prompt wording (e.g., accurate text rendering, specific finger counts, exact brand logos), say so honestly and suggest a workaround (e.g., generate without text and add it in a design tool afterward).How to use
- Paste the exact original prompt you used, along with what you expected versus what you actually got.
- Specify which AI tool you used, since different tools have different known strengths and limitations.
- Use the rewritten prompt to generate a new attempt.
- If the issue is flagged as a known tool limitation, use the suggested workaround instead of continuing to retry the same approach.
Example input
Original prompt: 'A logo for a coffee shop, modern, blue and brown.' Expected: A clean minimalist icon-based logo. Actual result: A busy, photorealistic image of a coffee shop storefront instead of a logo icon. Tool: Midjourney.
Example output
A diagnosis that the prompt lacks explicit logo-specific terminology, causing the model to interpret 'logo for a coffee shop' as a scene depicting a coffee shop rather than an icon-style mark, explained with reference to the missing words like 'icon,' 'flat design,' or 'vector logo,' a rewritten prompt adding 'minimalist flat vector logo icon, simple geometric shapes, no photorealism, white background' while keeping the original blue and brown color direction, and no workaround needed since this is a fixable wording issue rather than a tool limitation.
Customization tips
- — If you have the actual generated image, describe it in as much visual detail as possible for a more accurate diagnosis.
- — For recurring issues across multiple generations, paste 2-3 failed attempts at once to identify a consistent underlying pattern.
- — If you're not sure which specific word or phrase caused the issue, mention that so the diagnosis walks through the prompt more thoroughly, phrase by phrase.
Tags
#image-generation#prompt-debugging#midjourney#ai-images#prompt-engineering
FAQ
What is this prompt for?
It diagnoses why an AI-generated image didn't match expectations, pinpoints the specific part of the original prompt likely responsible, and rewrites the prompt to fix that exact issue rather than starting over randomly.
How should I customize it?
Describe both what you expected and what you actually got in as much detail as possible, and specify which AI tool you used, since different tools have different known quirks and limitations.
Are there any limitations?
Some rendering issues (like exact text or specific logos) are current limitations of AI image generation tools generally and can't always be fully solved through prompt wording alone; the diagnosis will flag these honestly rather than promising an unreliable fix.
How is it different from a basic prompt?
Rather than just producing another generic prompt variation, it specifically diagnoses the likely cause of the mismatch first, distinguishes a fixable wording issue from a genuine tool limitation, and only changes what's needed rather than rewriting the whole prompt from scratch.
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