ChatGPT Image Generator: Best Practices, Optimal Image Types, and Example Prompts
The ChatGPT Image Generator, powered by GPT-4o, represents a significant advancement in AI image generation technology. Released by OpenAI in March 2025, this new "omnimodal" model can generate various types of data including text, images, audio, and video. This guide provides comprehensive information on best practices, optimal image types, and example prompts to help you get the most out of this powerful tool. Table of Contents 1. General Best Practices 2. Optimal Image Types 3. Example Prompts by Category 4. Limitations and Workarounds 5. Differences from Previous Models 6. Conclusion General Best Practices 1. Be Specific and Detailed - The more specific your prompt, the better the image quality - Include details like setting, objects, colors, mood, and specific elements - Example: Instead of "a dog," use "a fluffy, small, brown dog sitting on a green lawn under a sunny sky" 2. Describe Mood and Atmosphere - Use descriptive words to convey the desired mood - Words like "serene," "chaotic," "mystical," or "futuristic" help set the right tone - Example: "A serene mountain landscape at sunset with warm golden light casting long shadows" 3. Use Descriptive Adjectives - Adjectives help refine the image and add specificity - Be precise with color descriptions, textures, and qualities - Example: "A rustic wooden table with a weathered surface and visible grain patterns" 4. Consider Perspective and Composition - Specify if you want a close-up, wide shot, bird's-eye view, or specific angle - This helps in framing the scene correctly - Example: "A bird's-eye view of a winding mountain road cutting through a dense forest" 5. Specify Lighting and Time of Day - Lighting dramatically changes the mood of an image - Specify day/night, sunny/cloudy, or specific light sources - Example: "A coastal town at twilight with street lamps just beginning to illuminate the cobblestone streets" 6. Incorporate Action or Movement - Describe actions or movements for dynamic images - Example: "A cat jumping over a fence" is more dynamic than just "a cat"