Comparing Leading Text-to-Image Generation Models for Adding Text to Images

A comparison of nine leading image generation models’ ability to render accurate text (words and phrases) within an image.

This post will assess the capabilities of nine state-of-the-art text-to-image generation models from multiple providers on different hosting platforms. Specifically, we will evaluate their ability to generate accurate text (words and phrases) within images based on given prompts. The models tested include the following (in alphabetical order):

1. Adobe Firefly Image 3 (via firefly.adobe.com)
2. Amazon Titan Image Generator G1 v2 (via Amazon Bedrock)
3. Black Forest Labs FLUX1.1 [pro] and Ultra Mode (via Replicate)
4. Google Imagen 3 (via ImageFX)
5. KLING AI powered by Kwai-Kolors/Kolors (via klingai.com)
6. Midjourney v6.1 (via midjourney.com)
7. OpenAI DALL·E 3 (via ChatGPT)
8. Stability AI Stable Diffusion 3.5 Large (via stability.ai API)
9. Stability AI Stable Image Ultra 1.0 v1 (via Amazon Bedrock)

Additionally, we will examine three alternative and more reliable techniques for ensuring text accuracy in generated images.

Testing the Models