| # Text To Image Test Prompt Library | |
| A comprehensive collection of evaluation prompts for testing text-to-image AI models across diverse parameters and use cases. | |
| ## Overview | |
| This repository contains a structured set of test prompts designed to evaluate the capabilities of text-to-image generation models. Rather than focusing on formal evaluation metrics, these prompts are intended for end users who want to test how well a model might perform for their specific use cases. | |
| ## Purpose | |
| - Provide a diverse set of real-world test cases for text-to-image models | |
| - Help users evaluate model performance across different domains and requirements | |
| - Identify strengths and weaknesses of different models | |
| - Support informed decision-making when selecting a text-to-image model | |
| ## Test Categories | |
| This repository includes 32 distinct test categories, with each category containing multiple prompt examples (typically 5 per file). The total collection includes approximately 160 test prompts. | |
| Categories include: | |
| - **Typo Handling**: Testing how models handle nonsensical text, obvious typos, and poorly written prompts | |
| - **Marketing Collateral**: Prompts for advertisements, billboards, and other marketing materials | |
| - **Lighting Instructions**: Testing model response to specific lighting directions | |
| - **Graphic Design**: Evaluating capabilities for creating design assets | |
| - **Architectural Renders**: Testing architectural visualization capabilities | |
| - **Confusing/Conflicting Prompts**: Evaluating how models resolve ambiguous instructions | |
| - **Character Consistency**: Testing ability to maintain character attributes | |
| - **Stylistic Following**: Evaluating adherence to specific artistic styles | |
| - **Logo Design**: Testing capabilities for brand identity creation | |
| - **Emotion/Subtle Emotion**: Evaluating ability to convey emotional nuance | |
| - **Very Specific Instructions**: Testing precision in following detailed directions | |
| - **And many more specialized categories** | |
| ## How to Use | |
| 1. Browse the category directories to find relevant test prompts for your use case | |
| 2. Use these prompts with your text-to-image model of choice | |
| 3. Compare results across different models using the same prompts | |
| 4. Evaluate which model performs best for your specific requirements | |