Real estate

We can use image generation feature to transform empty or bare room photos into fully furnished and designed spaces. Whether you're showcasing a property, visualizing design options, or enhancing listings, this feature can automatically add furniture, decor, and other design elements to an empty room, creating a realistic, styled environment.

Let's change this image

with request:

{
    "url": "https://s3.eu-central-1.amazonaws.com/deep-image.ai/api-examples/lost-places-597166_1280.jpg",
    "background": {
       "generate": {
           "description": "A loft style furnishings",
           "adapter_type": "control",
           "controlnet_conditioning_scale": 0.75
       }
    }
}

into:

Parameter "adapter_type" is an algorithm type. Value "control" generates images based on given image and the edges extracted from the given image while value "control2" generates based only on extracted edges. Let's visualise those differences:

Having that image:

Edges extracted from that image (this is done under the hood during processing):

Result (the same prompt and other parameters) for adapter_type = "control" (based on image and edges), image is mostly preserved, there are just minimal changes.

Using adapter_type = "control2" it uses only edges of the given image:

Yet another example.

Description: "house at winter", adapter_type="control2" (just edges).