Welcome to the final lesson of this course on creating images with Gemini and FastAPI. In previous lessons, you explored prompt crafting, quality modifiers, and photography modifiers. Now, we will focus on integrating text into generated images.

Text integration allows you to add meaningful context, branding elements, labels, slogans, or decorative typography to your images. This is useful for logos, posters, emblems, banners, and promotional graphics.

Creating effective prompts is crucial for guiding the AI to place text within images. When constructing prompts, consider the following guidelines:

• Keep text short: Short text is easier to render clearly.
• Use exact wording: Put text inside quotation marks.
• Specify placement: Tell the model where the text should appear.
• Describe typography: Include font style, size, color, and orientation.
• Avoid clutter: Too many text elements may reduce readability.

Example prompt:

This prompt gives clear guidance on:

• image subject
• exact text
• text placement
• typography
• overall design style

Once the image is generated, extract the image part and save it to the static/images folder.

This saved image can then be served in a FastAPI web application using static file mounting.

The example prompt guides Gemini to create a circular emblem with a central mountain and curved text. You can iterate on the prompt by adjusting:

• text content
• placement
• font style
• text color
• orientation
• overall composition

Text integration may require experimentation. If the text is not rendered exactly as expected, try shortening the text, increasing placement clarity, or separating text instructions into distinct sentences.

Congratulations on completing the course! In this lesson, you learned how to guide Gemini to generate images with text, including placement, style, color, size, and orientation.

As you move on to the practice exercises, experiment with different prompt structures and text layouts.