Layering items together in a collage and using AI to bind them into one seamless photo
Add elements to the photo with ease, using this step-by-step method engaging AI and Deep Image toolset.

Have you ever tried to add something new to an existing photo? For example add a nice plant on the window shelf to make it look more inviting? If you did, then you know how difficult it is. First the tedious work of removing background from image, then placing item on the photo. And it looks just odd. Out of place. The shadows don't match. Lighting of the item and background are completely different.
With Deep Image you can fix all of those problems fast and in an elegant manner. Making all the items you added to the photo seamlessly fit together. All elements with balanced lighting, and shadows redrawn globally for a whole photo. Follow the instructions below to learn how to do it.
How to add elements on a photo and make them look smooth and natural?
Let's say we have a photo of a window, and we would like to add a plant there.

Now with that photo I will go to Canva, or Photopea or any other graphic program of your choice that will allow you to add layers or objects on top of an existing photo. On a separate tab in my browser, I have found a nice plant.

To work with that plant, I need to remove the white background first. To do that, I have used our Background Remover, which gives instant results and will help smoothen out the whole process.

On the image above you can see the process of adding a plant to this scene.

Depending on which application you use it might look slightly different, but the idea is always the same. We put together some elements, adding them to the scene. And then you export this as a new image in jpeg or any other popular format.

That's the initial input photo we created. A nice view with a window and a plant.

With AI Generator PRO, after uploading the image we prepared earlier, we can now make it all look like all the elements were always together on that photo. For this we need the following setup:
- Image and edges - is the adapter we use for it. It allows to not only keep the lines, but also colors of the input photo
- Edge detector strictness set to over 95%. The higher that number the less freedom AI has to make stuff up.
- Model type: Creative. But you can experiment with various models for different results.
- Description - prompt: "window with a plant and a great view"
- Generative Upscale: 2x, match to original 95%, text field left blank. It can be 2x, or you can select your dimensions by hand.
With all of it setup, you can click Generate. After just a few seconds, your new photo should be ready.

As you can see, the final photo seamlessly integrated the flower pot into the scene. It looks like it was always there. The shadows, lights and other elements are well balanced. Below you can see a simple animation showing the difference between before and after.
Scene arranging and turning collages into seamless photos - second example
For a second example I have chosen a room with green walls.

I have found and picked a few items that I added to the room. A table, two flower pots, a cabinet and a sofa in the back. I didn't really pay much attention where I put them and how. Just so they make at least a little sense together and their scale seems ok.

As before I have used Photopea.com to put all the elements in the scene. But you can use any software you like, including Photoshop or Gimp, even Paint might work for this if needed.

That prepared photo I am uploading to our Image Generator. Just like in the previous example, we use the same setup:
- Image and edges - is the adapter we use for it.
- Edge detector strictness set to over 95%.
- Model type: Creative.
- Description - prompt: "living room"
- Generative Upscale: 2x, match to original 95%, text field left blank.
Click Generate.

Although this furniture is not the best style option for that specific interior, against all odds, all elements were seamlessly integrated into a photo that looks like the furniture was always here.
Thank you for your attention and I wish you great fun experimenting with this method.
Business case applications for seamless items integration. Who can benefit from using this method:
- Conceptual Mood Boards:
Generate unified mood boards from rough composites to capture the overall atmosphere or vibe for a creative project. - Storyboards for Visual Narratives:
Transform hand-drawn or digitally assembled sketches into cohesive storyboards, ideal for planning film, animation, or video sequences. - Digital Collages for Artistic Expression:
Combine various visual elements into a harmonious digital collage, perfect for showcasing creative ideas in portfolios or exhibitions. - Album or Book Cover Prototypes:
Create visually engaging prototypes for album or book covers, where the focus is on evoking the right mood rather than achieving photorealism. - Creative Concept Visualizations:
Develop abstract illustrations that blend disparate elements into a unified scene, serving as inspiration for further creative exploration and design refinement. - Advertising & Marketing Campaigns: Seamlessly integrate product images, brand elements, and background scenes to create compelling, consistent visuals for print and digital ads.
- E-commerce Product Visualization: Combine various product shots into a single, lifestyle-oriented image that enhances the appeal and realism of online product listings.
- Architectural & Interior Design Presentations: Merge furniture, decor, and architectural elements into a coherent scene to help clients visualize potential design outcomes.
- Film & Video Storyboarding: Create detailed, unified concept art from rough composites to better illustrate scene ideas and direct lighting or shadow details for visual effects.
- Social Media & Content Creation: Develop eye-catching, cohesive imagery for blog posts, social media ads, and promotional materials where consistent lighting and realistic shadows enhance engagement.
For this method, we used: AI Generator PRO, Background Remover, and Photopea. The last one is the only external tool we used, outside of the Deep Image platform.