> ## Knowledge Base Index
> Fetch the complete knowledge base index at: https://help.seelab.ai/sitemap.xml
> Use this file to discover available pages before exploring further.
> Pure-Markdown content can be obtained by appending a '.md' suffix to the content URLs listed in the sitemap (without the trailing slash).

# Create a visual from a reference image

# **Create a visual from a reference image**

To create an image, you can of course use **text-to-image** — writing a prompt that describes what you have in mind (see the article Create an image with a prompt (text)) — but you can also use a **reference image** to produce variations, change the style, or transform an existing visual.

This method gives you far more control over the result: styling, visual consistency, product variations, or turning a conceptual visual into a realistic render.

||| Even when using a reference image, we recommend adding a prompt for better results.

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# Adding a reference image

There are two ways to add a reference image:

**From the creation flow**

![reference image from the image card](https://storage.crisp.chat/users/helpdesk/website/-/6/8/0/3/6803ea00be5f5800/capture-decran-2026-06-30-a-14_ezhkcw.png)

Hover over an image in your flow and click the **Input image** button. The image is then automatically sent to the **Reference image** block, on the left side of the **prompt**.

**From your computer**

![](https://storage.crisp.chat/users/helpdesk/website/-/6/8/0/3/6803ea00be5f5800/capture-decran-2026-06-30-a-14_2jaohq.png)

Click the **Reference image** area in the **input** section, then select the file you want from your computer or mobile device.

You can also add images by clicking the area: this opens the **Resource Hub**, which lets you:

* import images (saved temporarily)
* access the **dataset** of your custom models
* access the images in your **collections**
* access your generation history

![](https://storage.crisp.chat/users/helpdesk/website/-/6/8/0/3/6803ea00be5f5800/capture-decran-2026-06-30-a-14_2apzw8.png =456xauto)

|| The selected image is resized automatically.

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# Available editing AIs

Seelab integrates several image-to-image engines. Choose the one that matches the effect you're after and the level of control you need.

### The Nano Banana suite (Nano Banana, Nano Banana 2, Nano Banana Pro)

An ultra-precise image-to-image mode built to produce photorealistic renders from a reference image. Nano Banana interprets light, textures, and materials with a high level of fidelity while maintaining strong aesthetic consistency.

**Useful when:**

* You're turning a conceptual visual or a sketch into a realistic image
* You're refining a product render or a packshot
* You're exploring high-definition variations (up to 4K) without losing the original style

### GPT Image

OpenAI's engine integrated into Seelab, able to interpret a reference image with great semantic precision. It excels at finely understanding text instructions combined with a source image, particularly for complex edits or creative compositions.

**Useful when:**

* You need strong text-based control over the transformation
* You're working on complex compositions that require understanding the image content
* You want to combine several stylistic or narrative instructions

### Seedream

ByteDance's engine integrated into Seelab, designed for creative generation and editing from one or several reference images. Seedream handles multiple source images within a single composition and produces ultra-detailed renders up to 4K, making it a solid choice for product work and visuals intended for print or large formats.

**Useful when:**

* You're combining several reference images into a single composition
* You need high resolution and a high level of detail (up to 4K)
* You're working on product or e-commerce visuals that demand strong fidelity

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# Prompt examples

* **Change the setting while keeping the product intact**
* **Turn a visual into a high-end photorealistic render**
* **Reframe the same scene across several moods**
* **Change the background without touching the subject**
* **Place a product in a lifestyle context**

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# Tips for better results

* **Always combine a reference image with a prompt**: the model relies on both to guide the generation.
* **Choose the engine that fits your need**: the Nano Banana suite for product realism, GPT Image for semantic precision and complex compositions, and Seedream for creative work.
* **Be specific about what should stay the same**: state the framing, scale, and position if you want them preserved.
* **Refer to elements directly**: say *"the woman in red"* rather than *"her"* to avoid ambiguity.
* **Use sharp, well-framed source images**: the higher the quality of the reference image, the more precise the result.

|| Don't forget — once you're done with your reference image — to remove it so it doesn't affect your following generations!