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---
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license: apache-2.0
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language:
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- en
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pretty_name: Test Prompts For Text To Image Model Evaluation
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---
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# Text To Image Test Prompt Library
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A comprehensive collection of evaluation prompts for testing text-to-image AI models across diverse parameters and use cases.
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## Overview
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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.
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## Purpose
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- Provide a diverse set of real-world test cases for text-to-image models
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- Help users evaluate model performance across different domains and requirements
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- Identify strengths and weaknesses of different models
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- Support informed decision-making when selecting a text-to-image model
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## Test Categories
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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.
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Categories include:
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- **Typo Handling**: Testing how models handle nonsensical text, obvious typos, and poorly written prompts
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- **Marketing Collateral**: Prompts for advertisements, billboards, and other marketing materials
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- **Lighting Instructions**: Testing model response to specific lighting directions
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- **Graphic Design**: Evaluating capabilities for creating design assets
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- **Architectural Renders**: Testing architectural visualization capabilities
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- **Confusing/Conflicting Prompts**: Evaluating how models resolve ambiguous instructions
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- **Character Consistency**: Testing ability to maintain character attributes
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- **Stylistic Following**: Evaluating adherence to specific artistic styles
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- **Logo Design**: Testing capabilities for brand identity creation
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- **Emotion/Subtle Emotion**: Evaluating ability to convey emotional nuance
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- **Very Specific Instructions**: Testing precision in following detailed directions
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- **And many more specialized categories**
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## How to Use
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1. Browse the category directories to find relevant test prompts for your use case
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2. Use these prompts with your text-to-image model of choice
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3. Compare results across different models using the same prompts
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4. Evaluate which model performs best for your specific requirements
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