metadata
license: apache-2.0
language:
- en
pretty_name: Test Prompts For Text To Image Model Evaluation
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
- Browse the category directories to find relevant test prompts for your use case
- Use these prompts with your text-to-image model of choice
- Compare results across different models using the same prompts
- Evaluate which model performs best for your specific requirements