Frequently Asked Questions
What is text-to-image AI?
Text-to-image AI is a method that generates an original picture from a written prompt. You describe what you want in words, and a model trained on captioned images produces a matching visual. It is the technique powering tools like Midjourney, DALL-E, and Stable Diffusion, and the wording of your prompt heavily shapes the output.
How do I write a good text-to-image prompt?
A good text-to-image prompt names the subject, the setting, the lighting, the mood, and the art style clearly. Specific details like "soft morning light" or "watercolor illustration" guide the model far better than a one-word request. Many tools also let you set image dimensions and add negative prompts to exclude things you don't want.
Which text-to-image model is best?
There is no single winner, since each model leans a different way. Midjourney favors bold, artistic looks, DALL-E follows literal instructions closely, Stable Diffusion offers deep customization, and Imagen aims for photorealism. The best choice comes down to the style you want and how much hands-on control you enjoy having.
Why does the same prompt look different in each tool?
Each text-to-image model was trained on different data and tuned with different defaults, so identical prompts produce different images. One tool may interpret "cinematic" as dramatic lighting while another adds a film grain. This is why prompt phrasing that works beautifully in one engine often needs adjusting when you move to another.
Can text-to-image tools make photorealistic images?
Yes, several text-to-image models produce convincingly photorealistic results, especially for landscapes, objects, and wide scenes. Faces and hands remain the weak spots, where small distortions still slip through. Adding camera and lens details to your prompt, such as "85mm portrait, shallow depth of field," noticeably improves realism in most modern tools.
