AI Image Generator with Layout Control

Turn a normal prompt into an editable layout, move object and text boxes visually, then generate a polished image with Ideogram V4. Prompt to layout 路 Drag-and-resize bbox 路 Precise object placement

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可视化 BBox 控制

拖动画框来控制重要对象和文字的位置。

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还没有布局

输入提示词并点击可视化控制，生成可编辑的 bbox 元素。

查看结果

等待生成结果

上传图片并输入提示词即可开始生成。

布局生成历史

布局控制生成的图片会保留 1 天。

你的布局控制图片会显示在这里。

Text-to-Image with Precise Visual Placement

Plan the composition before generation instead of hoping the model guesses the layout.

Prompt-to-Layout Parsing

Enter a natural language prompt and let the AI convert it into an Ideogram-ready JSON caption with background details, objects, text elements, and normalized bbox positions.

Editable BBox Composition

Move and resize each object or text box on a proportional canvas. The control area scales to your selected output resolution, so placement stays consistent.

Better Text and Product Layouts

Use visual boxes to guide exact packaging labels, poster titles, product hero placement, and ad composition where object location matters.

Ideogram V4 Layout Generation

After adjusting the layout, EzEnhancer sends the final JSON prompt to an Ideogram V4 model to create high-quality images from your controlled scene plan.

How to Generate Images with Visual Layout Control

step 1

Write your image prompt and choose an output size such as square, portrait, landscape, or ultra-wide.

step 2

Click Visual Control to parse the prompt into editable bbox elements, then drag and resize boxes to refine the composition.

step 3

Generate the image from the final JSON layout, preview the result, and download it for your creative workflow.

Layout Control AI Image Generator FAQ

What is visual layout control for AI image generation?

Visual layout control lets you position important objects and text blocks before generation. Each box uses normalized 0-1000 coordinates, then EzEnhancer sends the final structured JSON prompt to the image model.

Do I need to write JSON manually?

No. Enter a normal prompt and click Visual Control. The prompt enhancer creates the JSON layout automatically, and you can adjust the generated boxes visually.

Which models are used for layout control?

This page is focused on Ideogram V4 Turbo and Ideogram V4 Balanced style generation because the layout workflow depends on structured JSON prompts and bbox-based object placement.

Why does output size matter for the bbox canvas?

The canvas keeps the same aspect ratio as your selected generation size. A square image, vertical poster, and wide banner all need different spatial layouts, so the bbox editor scales to match.

Can I control exact text placement?

Yes. Text elements can include exact text content, a description, and a bbox. This is useful for posters, product packaging, ads, title cards, and social media graphics.

When should I use the regular AI Image Generator instead?

Use the regular AI Image Generator when you want quick text-to-image results without manually controlling object positions. Use this page when composition, text placement, or product layout matters.