Scene

Learn how to control the quality and speed of image generation.

AI Background API provides you with three ways to create a background for your product:

• Template-free approach

• Template-based approach

• Solid color background with product shadow only

Template-free options

In the template-free approach, only text prompts are used for background generation. You can either generate prompts automatically with Autoprompt AI or write them manually for more control.

Prompt

The AI Background API accepts text prompts to define the background. Prompts can be generated automatically using Autoprompt AI or provided manually.

Autoprompt AI: Automatic prompt generation

Autoprompt AI analyzes the input product image and generates a text prompt tailored to create a contextually relevant background. This is useful for automating background generation, especially with large batches of images.

How to use it: Set the generate parameter to true within the prompt object in the scene section of your API request.

{
    "scene": {
        "prompt": {
            "generate": true
        }
    }
}

Generating a prompt with Autoprompt AI costs an additional 0.5 credits per request. Factor this into your usage planning.

Custom prompts: Manual control

For more control over the background, provide your own prompt. Custom prompts must be between 3 and 2048 characters.

Example:

{
    "scene": {
        "prompt": "on a rugged mountain trail, scattered rocks, moss-covered ground, sunlight filtering through pine trees, rich earthy colors, warm light, dynamic perspective, high quality, professional product photography"
    }
}

Tips for effective custom prompts

• Structure: Include place (surface), background, lighting, and mood for control.

• Detail: Specify materials, textures, and context clearly (e.g., "rustic wooden table").

• Clarity: Use precise terms—avoid vague words like "nice" or "pretty."

For more, see How to write prompts for AI product photos.

Negative prompt

The negative prompt is a parameter that specifies what you don't want to see on the generated background. When specified, it tells the generation process not to include things in the image that match a given text. The negative_prompt must be between 3 and 2048 characters.

{
    "scene": {
        "prompt": "on the wooden table in the dark room",
        "negative_prompt": "pixelated, low quality"
    }
}

Color

If you want to change the color of the background, you can specify the desired color in hexadecimal format and it will be used as the main color.

Using color will make the resulting background look closer to the sample image.

Is only available for v1 model.

{
    "scene": {
        "prompt": "on the wooden table in the dark room",
        "negative_prompt": "pixelated, low quality",
        "color": "#8fa782"
    }
}

Inference steps

The more inference steps you use, the better the results, but the more steps, the longer it takes to generate. If you want faster results, you can use fewer steps. If you want higher-quality results, you can use more steps.

Is only available for v1 model. For v2-beta the preference parameter should be used instead.

{
    "scene": {
        "prompt": "on the wooden table in the dark room",
        "negative_prompt": "pixelated, low quality",
        "color": "#8fa782",
        "steps": 20
    }
}

Aspect ratio

By default, the aspect ratio is 1:1 with dimensions of 1024x1024px. But you can change it to any of the following values, listed from wider to taller:

Aspect ratio	Output size
12:5	1536x640px
16:9	1336x752px
7:4	1344x768px
19:13	1216x832px
9:7	1152x896px
1:1	1024x1024px
4:5	896x1120px
7:9	896x1152px
4:7	768x1344px
9:16	752x1336px
5:12	640x1536px

If you need a size larger than the generation result, you can upscale. See Upscale for more info.

{
    "scene": {
        "prompt": "on the wooden table in the dark room",
        "negative_prompt": "pixelated, low quality",
        "color": "#8fa782",
        "steps": 20,
        "aspect_ratio": "16:9"
    }
}

Model

The template-free approach supports several background generation models. Available models are listed below:

Model	Description
v1	A stable, production-ready model optimized for product photography. Provides consistent results with fast processing times. Requires specific prompt formatting for best results. See Tips for more info.
v2-beta	Advanced model with improved photorealism. Processes natural language prompts more effectively and works with diverse subjects (products, people, etc.). Slightly slower processing time due to enhanced quality algorithms.

v1 model is used by default.

{
    "scene": {
        "prompt": "on the wooden table in the dark room",
        "negative_prompt": "pixelated, low quality",
        "color": "#8fa782",
        "steps": 20,
        "aspect_ratio": "16:9",
        "model": "v1"
    }
}

Preference

Easy to use parameter to configure model settings to achieve the desired balance between generation speed and output image quality.

Can be set to "fast", "optimal", or "best".

If no preference is specified, "optimal" is used by default. But if negative_prompt is specified - "best"is used by default, since negative_prompt can be specified only with "best"preference.

Is only available for v2-beta model.

{
    "scene": {
        "model": "v2-beta",
        "prompt": "on the wooden table in the dark room",
        "preference": "fast"
    }
}

Possible values

Parameter	Type	Range	Default value
prompt	string, object	3 - 2048	is required
negative_prompt	string	3 - 2048	text, watermark, man, woman, child, overlay text, cartoon, pixelated, illustration, ugly, painting, cropped, lowres, low quality, jpeg artifacts, signature, logo
color	string	#000000 - #ffffff
steps	integer	1-49	15
aspect_ratio	string	12:5 - 5:12	1:1
model	string	v1, v2-beta	v1
preference	string	"fast", "optimal", "best"	"optimal"

Template-based approach

In the template-based approach, you can use a sample image that will be used to generate a background similar to the image, and you can also use prompts to increase the likelihood of achieving the desired result.

Template image

AI Background API supports several options to provide sample images that will be used to generate background.

If you upload a non-square image, it will be scaled and cropped to fit a square.

HTTP(S) URL

URL of the input image should be from 1 to 4096 characters. The image must be accessible by our system.

{
    "scene": {
        "template_url": "https://images.claid.ai/photoshoot-templates/docs/scene.png"
    }
}

Connected storage

You can connect Cloud Storage and use it as a source for images. Currently, our API supports AWS S3 and Google Cloud Storage.

After connecting your Cloud Storage, you can refer the storage name as an input.

{
    "scene": {
        "template_url": "storage://storage-name/path/scene.png"
    }
}

Input image file types

The API supports the following image formats as inputs: BMP, GIF, JPEG, PNG, TIFF, WEBP, AVIF, and HEIC.

Template mode

The template mode enables you to determine the degree of similarity between the background and the template image. You can select between lock mode to preserve maximum details, adjust mode to slightly adjust the background to better match the product, or transform mode to freely transform the background with prompt and color parameters. See Color and Prompts for more info.

prompt, color and steps are unavailable for lock template mode. color is unavailable for adjust template mode.

Viewpoint
transform	Template is transformed according to the prompt and color.
adjust	Template is slightly adjusted to the product and prompt.
lock	Template is preserved with maximum detail.

transform template mode is used by default.

{
    "scene": {
        "template_url": "storage://storage-name/path/scene.png",
        "template_mode": "lock"
    }
}

Template viewpoint

The template viewpoint describes the camera position and tilt angle from which the photo was taken. Available viewpoints are listed below:

Viewpoint
top	The view is top-down, looking down on the subject from above.
front	The view is horizontal, looking directly on the subject.

front viewpoint is used by default.

{
    "scene": {
        "template_url": "storage://storage-name/path/scene.png",
        "view": "top"
    }
}

Prompts

You can use prompt and negative_prompt in the same way as in the template-free approach, but prompt is not a required parameter for template-based approach.

Color

You can use color in the same way as in the template-free approach, and color is not a required parameter for template-based approach as well. If specified, color will be used as the main color of the image sample-based background.

Inference steps

You can use steps in the same way as in the template-free approach, and again, steps is not a required parameter for the template-based approach. By default, each template_mode has an optimal steps value. And steps is not available for lock mode.

Possible values

Parameter	Type	Range	Default value
template_url	str	1 - 4096	is required
view	str	top, front	front
color	str	#000000 - #ffffff
prompt	str	3 - 2048
negative_prompt	str	3 - 2048	text, watermark, man, woman, child, overlay text, cartoon, pixelated, illustration, ugly, painting, cropped, lowres, low quality, jpeg artifacts, signature, logo
steps	int	1-49	depends on template_mode

Limitations

The template image viewpoint (camera position and tilt angle from which the photo was taken) should match the viewpoint of the product image.

Product Shadows

Shadows generation mode covers the straightforward yet highly popular scenario in product photography. Creating a shadow effect for a product on transparent or on a solid Color can enhance its appearance. A product on a white background, for instance, looks better with a shadow.

{
    "scene": {
        "effect": "shadows",
        "color": "#d3d3d3",
        "view": "top"
    }
}

The shadow generation effect requires View parameter. Color parameter is optional and omitting it will leave the background of the result image transparent.

Limitations

Background with product shadows does not require placement for the Object, so you don't need to pass any of placement related parameters in request payload. Object payload should be:

{
    "object": {
        "image_url": "https://images.claid.ai/photoshoot-templates/docs/product.png"
    }
}