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Decor8AI Virtual Staging & Interior Design API (1.0)

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License: Decor8AI SDK License

Decor8 AI is a state-of-the-art virtual staging solution designed for realtors and real estate app developers. It provides a suite of customization options to create and visualize appealing interiors from empty spaces. With its focus on enhancing marketability, it's an essential tool for showcasing property potential in a compelling way. Please reach out to Decor8 AI Team with questions or suggestions. Additional license information can be found here.

Getting Started

  • Authentication: Each API request requires two headers:

    • Content-Type: application/json
    • Authorization: Bearer <API_KEY>

  • API Key: Get your <API_KEY> from your account at prod-app.decor8.ai.

    Sign in to Decor8 AI and Click on APIs from the Left Side-menu

    Click Generate API Key

    Test the AI Key Once you have the key, run simple curl command to test the key.

    curl -X GET "https://api.decor8.ai/speak_friend_and_enter" -H "Authorization: Bearer <API_KEY>"

Test Authentication

This endpoint is used to test whether the provided API key in the Authorization header is valid.

Authorizations:
apiKeyAuth

Responses

Response samples

Content type
application/json
{
  • "error": "",
  • "message": "The doors of Durin open for you. Welcome, friend of Moria.",
  • "Status": 1
}

Virtual Staging & Interior Design

This endpoint generates room designs based on the input image and user preferences like room_type and design_style. It works with empty or rooms filled with furniture.

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
input_image_url
required
string

URL of the input image. Make sure the image is accessible over the internet. Supported formats are - PNG, JPEG, HEIF/HEIC.

room_type
required
string (RoomType)
Enum: "livingroom" "kitchen" "diningroom" "bedroom" "bathroom" "kidsroom" "familyroom" "readingnook" "sunroom" "walkincloset" "mudroom" "toyroom" "office" "foyer" "powderroom" "laundryroom" "gym" "basement" "garage" "balcony" "cafe" "homebar" "study_room" "front_porch" "back_porch" "back_patio" "openplan" "boardroom" "meetingroom" "openworkspace" "privateoffice"

Choose from the supported room types.

design_style
required
string (DesignStyle)
Enum: "minimalist" "scandinavian" "industrial" "boho" "traditional" "artdeco" "midcenturymodern" "coastal" "tropical" "eclectic" "contemporary" "frenchcountry" "rustic" "shabbychic" "vintage" "country" "modern" "asian_zen" "hollywoodregency" "bauhaus" "mediterranean" "farmhouse" "victorian" "gothic" "moroccan" "southwestern" "transitional" "maximalist" "arabic" "japandi" "retrofuturism" "artnouveau" "urbanmodern" "wabi_sabi" "grandmillennial" "coastalgrandmother" "newtraditional" "cottagecore" "luxemodern" "high_tech" "organicmodern" "tuscan" "cabin" "desertmodern" "global" "industrialchic" "modernfarmhouse" "europeanclassic" "neotraditional" "warmminimalist"

Choose from the supported design styles.

num_images
required
integer (NumImages) [ 1 .. 4 ]
scale_factor
integer (ScaleFactor) [ 1 .. 8 ]

Scale factor determines the image resolution. By default, the API uses scale_factor = 2 (producing images up to 1536 pixels) with no additional charge. See the table below for more details:

Scale Factor Image Dimensions (max) Design Credits Used
1 Max 768 pixels 0 credits
2 Max 1536 pixels 0 credits
3 Max 2304 pixels 1 credit
4 Max 3072 pixels 1 credit
5 Max 3840 pixels 2 credits
6 Max 4608 pixels 2 credits
7 Max 5376 pixels 3 credits
8 Max 6144 pixels 3 credits

Notes:

  1. Credits are calculated based on the image resolution requested.
  2. Resolutions above 2x (scale factor > 2) incur additional credits when using the generate_designs_for_room or upscale_image API.
  3. The "Max pixels" refers to the longest side of the image, while the shorter side may have equal or smaller number of pixels depending upon image's aspect ratio.
  4. Credits mentioned are cumulative for each request depending on the chosen resolution.
  5. If num_images > 1, then the total credits used will be num_images * credits per upscale.
  6. API Pricing: Pay-As-You-Go AI Virtual Staging uses a credit-based system where 1 credit = $0.20 per generated image (up to 1536 pixels on either dimension). By default, the API uses scale_factor = 2, producing images with maximum 1536 pixels. There is no additional charge for scale_factor ≤ 2. When scale_factor > 2, additional credits are required as shown in the table above.
color_scheme
string (ColorScheme)
Enum: "COLOR_SCHEME_0" "COLOR_SCHEME_1" "COLOR_SCHEME_2" "COLOR_SCHEME_3" "COLOR_SCHEME_4" "COLOR_SCHEME_5" "COLOR_SCHEME_6" "COLOR_SCHEME_7" "COLOR_SCHEME_8" "COLOR_SCHEME_9" "COLOR_SCHEME_10" "COLOR_SCHEME_11" "COLOR_SCHEME_12" "COLOR_SCHEME_13" "COLOR_SCHEME_14" "COLOR_SCHEME_15" "COLOR_SCHEME_16" "COLOR_SCHEME_17" "COLOR_SCHEME_18" "COLOR_SCHEME_19" "COLOR_SCHEME_20"

Preferred color scheme, optional. Default is COLOR_SCHEME_0. Here are the possible values:

Value Color Scheme
COLOR_SCHEME_0 Default
COLOR_SCHEME_1 Moss Green, Tan, White
COLOR_SCHEME_2 Gray, Sand, Blue
COLOR_SCHEME_3 Hunter Green, Red
COLOR_SCHEME_4 White, Pops of Color
COLOR_SCHEME_5 Blue, Neon
COLOR_SCHEME_6 Light Blue, Emerald
COLOR_SCHEME_7 Blue, Grass Green
COLOR_SCHEME_8 Blue, Beige
COLOR_SCHEME_9 Gray, Brown
COLOR_SCHEME_10 Black, Red
COLOR_SCHEME_11 Gray-Green, White, Black
COLOR_SCHEME_12 Blue, Gray, Taupe
COLOR_SCHEME_13 Black, Navy
COLOR_SCHEME_14 Emerald, Tan
COLOR_SCHEME_15 Forest Green, Light Gray
COLOR_SCHEME_16 Yellow, Gray
COLOR_SCHEME_17 Pink, Green
COLOR_SCHEME_18 Blush Pink, Black
COLOR_SCHEME_19 Black, White
COLOR_SCHEME_20 Blue, White
speciality_decor
string (SpecialityDecor)
Enum: "SPECIALITY_DECOR_0" "SPECIALITY_DECOR_1" "SPECIALITY_DECOR_2" "SPECIALITY_DECOR_3" "SPECIALITY_DECOR_4" "SPECIALITY_DECOR_5" "SPECIALITY_DECOR_6" "SPECIALITY_DECOR_7"

Details about any specialty decor elements, optional. Default is SPECIALITY_DECOR_0. Here are the possible values:

Value Speciality Decor
SPECIALITY_DECOR_0 None
SPECIALITY_DECOR_1 Halloween Decor with Spooky Ambiance, Eerie Elements, Dark Colors, and Festive Accents
SPECIALITY_DECOR_2 Christmas Decor with Christmas Tree, Ornaments, and Lights
SPECIALITY_DECOR_3 Thanksgiving Decor, Fall Season Decor
SPECIALITY_DECOR_4 Fall Season Decor
SPECIALITY_DECOR_5 Spring Season Decor
SPECIALITY_DECOR_6 Summer Season Decor
SPECIALITY_DECOR_7 Winter Season Decor
mask_info
string

Additional masking information, optional. This string is returned by this end-point. You may store it and use it for future requests. This usually speeds up the process of generating images.

prompt
string

(Optional) Custom prompt for image generation. If provided, room_type, design_style, color_scheme, and speciality_decor values are ignored as the prompt field is used directly for image generation. If prompt is not provided, then room_type and design_style must be provided and will be used to generate a system-selected prompt. During image generation, the API concatenates prompts as follows: final_prompt = [prompt_prefix] + " " + [prompt] + " " + [prompt_suffix] This final_prompt along with negative_prompt guides the stable diffusion image generation process. Note: Using custom prompts provides more control over image generation but may require experimentation to achieve desired results.

prompt_prefix
string

(Optional) Prefix to identify visual attributes of desired references (e.g., "Houzz style", "Pinterest inspiration", "architectural photography"). Default is system selected. Note: Custom prefix can help target specific visual styles but may require experimentation.

prompt_suffix
string

(Optional) Suffix to identify photo attributes (e.g., "4K resolution", "interior design magazine quality", "professional lighting"). Default is system selected. Note: Custom suffix can help enhance image quality but may require experimentation.

negative_prompt
string

(Optional) Attributes to exclude from generation (e.g., "blurry", "low quality", "distorted", "unrealistic", "broken furniture"). Default is system selected. Note: Custom negative prompts can help avoid unwanted elements but may require experimentation.

seed
integer >= 0

(Optional) Seed for reproducible results. Using the same seed with identical parameters will generate similar images. Default is random. Note: Useful for consistency across generations but results may still vary slightly.

guidance_scale
number <float> [ 1 .. 20 ]
Default: 15

(Optional) Controls how closely the model follows the prompt. Higher values result in images that more strictly follow the prompt but may be less natural. Lower values allow more creative freedom but may deviate from the prompt. Default is 15. Note: Finding the right balance requires experimentation.

num_inference_steps
integer [ 1 .. 75 ]
Default: 50

(Optional) Number of denoising steps. Higher values can produce better quality images but take longer to generate. Lower values are faster but may reduce quality. Default is 50. Note: Balance between quality and generation time requires experimentation.

design_style_image_url
string

(Optional) URL of the image file to use as a style reference for the generated design. Additional 1 credit / per image is used for this request. Refer to https://www.decor8.ai/ai-virtual-staging-api/ for credit pricing. If you generate more than 1 image, then the additional credits used will be equal to the value of num_images parameter.

design_style_image_strength
number <float> [ 0 .. 1 ]
Default: 0.82

(Optional) Controls how strongly the design style image influences the final output. Higher values (closer to 1.0) give more weight to the style image than other inputs like room_type, design_style, or custom prompt.

design_creativity
number <float> [ 0 .. 1 ]
Default: 0.39

(Optional) Controls the level of creative improvements in the final image. Higher values result in more creative alterations to the overall look and feel.

webhooks_data
string

(Optional) Webhook configuration for asynchronous notifications as a stringified JSON string. When provided, the API will send a POST request to the specified URL when the image generation is complete.

The JSON string must have this structure:

{
  "url": "https://your-callback-url.com/webhook",  // Required
  "token": "your-auth-token",                      // Optional
  "context": "Custom context for this request"     // Optional
}

Example in JavaScript:

webhooks_data: JSON.stringify({
  url: "https://your-callback-url.com/webhook",
  token: "your-auth-token",
  context: "Custom context"
})

Example in Python:

webhooks_data = json.dumps({
  "url": "https://your-callback-url.com/webhook",
  "token": "your-auth-token",
  "context": "Custom context"
})

Responses

Request samples

Content type
application/json
{
  • "input_image_url": "https://prod-files.decor8.ai/test-images/sdk_test_image.png",
  • "room_type": "livingroom",
  • "design_style": "minimalist",
  • "num_images": 1,
  • "scale_factor": 1,
  • "color_scheme": "COLOR_SCHEME_0",
  • "speciality_decor": "SPECIALITY_DECOR_0",
  • "mask_info": "mask_info_string",
  • "prompt": "string",
  • "prompt_prefix": "string",
  • "prompt_suffix": "string",
  • "negative_prompt": "string",
  • "seed": 0,
  • "guidance_scale": 15,
  • "num_inference_steps": 50,
  • "design_style_image_url": "string",
  • "design_style_image_strength": 0.82,
  • "design_creativity": 0.39,
  • "webhooks_data": "{\"url\":\"https://your-callback-url.com/webhook\",\"token\":\"your-auth-token\",\"context\":\"Custom context\"}"
}

Response samples

Content type
application/json
{}

Generate Inspirational Designs

Use this endpoint to get inspirational designs without providing an input image. AI generates unique designs based on room type and design style.

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
room_type
required
string (RoomType)
Enum: "livingroom" "kitchen" "diningroom" "bedroom" "bathroom" "kidsroom" "familyroom" "readingnook" "sunroom" "walkincloset" "mudroom" "toyroom" "office" "foyer" "powderroom" "laundryroom" "gym" "basement" "garage" "balcony" "cafe" "homebar" "study_room" "front_porch" "back_porch" "back_patio" "openplan" "boardroom" "meetingroom" "openworkspace" "privateoffice"

Choose from the supported room types.

design_style
required
string (DesignStyle)
Enum: "minimalist" "scandinavian" "industrial" "boho" "traditional" "artdeco" "midcenturymodern" "coastal" "tropical" "eclectic" "contemporary" "frenchcountry" "rustic" "shabbychic" "vintage" "country" "modern" "asian_zen" "hollywoodregency" "bauhaus" "mediterranean" "farmhouse" "victorian" "gothic" "moroccan" "southwestern" "transitional" "maximalist" "arabic" "japandi" "retrofuturism" "artnouveau" "urbanmodern" "wabi_sabi" "grandmillennial" "coastalgrandmother" "newtraditional" "cottagecore" "luxemodern" "high_tech" "organicmodern" "tuscan" "cabin" "desertmodern" "global" "industrialchic" "modernfarmhouse" "europeanclassic" "neotraditional" "warmminimalist"

Choose from the supported design styles.

num_images
required
integer (NumImages) [ 1 .. 4 ]
color_scheme
string (ColorScheme)
Enum: "COLOR_SCHEME_0" "COLOR_SCHEME_1" "COLOR_SCHEME_2" "COLOR_SCHEME_3" "COLOR_SCHEME_4" "COLOR_SCHEME_5" "COLOR_SCHEME_6" "COLOR_SCHEME_7" "COLOR_SCHEME_8" "COLOR_SCHEME_9" "COLOR_SCHEME_10" "COLOR_SCHEME_11" "COLOR_SCHEME_12" "COLOR_SCHEME_13" "COLOR_SCHEME_14" "COLOR_SCHEME_15" "COLOR_SCHEME_16" "COLOR_SCHEME_17" "COLOR_SCHEME_18" "COLOR_SCHEME_19" "COLOR_SCHEME_20"

Preferred color scheme, optional. Default is COLOR_SCHEME_0. Here are the possible values:

Value Color Scheme
COLOR_SCHEME_0 Default
COLOR_SCHEME_1 Moss Green, Tan, White
COLOR_SCHEME_2 Gray, Sand, Blue
COLOR_SCHEME_3 Hunter Green, Red
COLOR_SCHEME_4 White, Pops of Color
COLOR_SCHEME_5 Blue, Neon
COLOR_SCHEME_6 Light Blue, Emerald
COLOR_SCHEME_7 Blue, Grass Green
COLOR_SCHEME_8 Blue, Beige
COLOR_SCHEME_9 Gray, Brown
COLOR_SCHEME_10 Black, Red
COLOR_SCHEME_11 Gray-Green, White, Black
COLOR_SCHEME_12 Blue, Gray, Taupe
COLOR_SCHEME_13 Black, Navy
COLOR_SCHEME_14 Emerald, Tan
COLOR_SCHEME_15 Forest Green, Light Gray
COLOR_SCHEME_16 Yellow, Gray
COLOR_SCHEME_17 Pink, Green
COLOR_SCHEME_18 Blush Pink, Black
COLOR_SCHEME_19 Black, White
COLOR_SCHEME_20 Blue, White
speciality_decor
string (SpecialityDecor)
Enum: "SPECIALITY_DECOR_0" "SPECIALITY_DECOR_1" "SPECIALITY_DECOR_2" "SPECIALITY_DECOR_3" "SPECIALITY_DECOR_4" "SPECIALITY_DECOR_5" "SPECIALITY_DECOR_6" "SPECIALITY_DECOR_7"

Details about any specialty decor elements, optional. Default is SPECIALITY_DECOR_0. Here are the possible values:

Value Speciality Decor
SPECIALITY_DECOR_0 None
SPECIALITY_DECOR_1 Halloween Decor with Spooky Ambiance, Eerie Elements, Dark Colors, and Festive Accents
SPECIALITY_DECOR_2 Christmas Decor with Christmas Tree, Ornaments, and Lights
SPECIALITY_DECOR_3 Thanksgiving Decor, Fall Season Decor
SPECIALITY_DECOR_4 Fall Season Decor
SPECIALITY_DECOR_5 Spring Season Decor
SPECIALITY_DECOR_6 Summer Season Decor
SPECIALITY_DECOR_7 Winter Season Decor
prompt
string

(Optional) Custom prompt for image generation. If provided, room_type, design_style, color_scheme, and speciality_decor values are ignored as the prompt field is used directly for image generation. If prompt is not provided, then room_type and design_style must be provided and will be used to generate a system-selected prompt. During image generation, the API concatenates prompts as follows: final_prompt = [prompt_prefix] + " " + [prompt] + " " + [prompt_suffix] This final_prompt along with negative_prompt guides the stable diffusion image generation process. Note: Using custom prompts provides more control over image generation but may require experimentation to achieve desired results.

prompt_prefix
string

(Optional) Prefix to identify visual attributes of desired references (e.g., "Houzz style", "Pinterest inspiration", "architectural photography"). Default is system selected. Note: Custom prefix can help target specific visual styles but may require experimentation.

prompt_suffix
string

(Optional) Suffix to identify photo attributes (e.g., "4K resolution", "interior design magazine quality", "professional lighting"). Default is system selected. Note: Custom suffix can help enhance image quality but may require experimentation.

negative_prompt
string

(Optional) Attributes to exclude from generation (e.g., "blurry", "low quality", "distorted", "unrealistic", "broken furniture"). Default is system selected. Note: Custom negative prompts can help avoid unwanted elements but may require experimentation.

seed
integer >= 0

(Optional) Seed for reproducible results. Using the same seed with identical parameters will generate similar images. Default is random. Note: Useful for consistency across generations but results may still vary slightly.

guidance_scale
number <float> [ 1 .. 20 ]
Default: 15

(Optional) Controls how closely the model follows the prompt. Higher values result in images that more strictly follow the prompt but may be less natural. Lower values allow more creative freedom but may deviate from the prompt. Default is 15. Note: Finding the right balance requires experimentation.

num_inference_steps
integer [ 1 .. 75 ]
Default: 35

(Optional) Number of denoising steps. Higher values can produce better quality images but take longer to generate. Lower values are faster but may reduce quality. Default is 35. Note: Balance between quality and generation time requires experimentation.

Responses

Request samples

Content type
application/json
{
  • "room_type": "livingroom",
  • "design_style": "minimalist",
  • "num_images": 1,
  • "color_scheme": "COLOR_SCHEME_0",
  • "speciality_decor": "SPECIALITY_DECOR_0",
  • "prompt": "string",
  • "prompt_prefix": "string",
  • "prompt_suffix": "string",
  • "negative_prompt": "string",
  • "seed": 0,
  • "guidance_scale": 15,
  • "num_inference_steps": 35
}

Response samples

Content type
application/json
{}

Prime the walls of a room

This endpoint primes the walls of a room by applying a basic whitewash or finish. It prepares the walls for further virtual staging or design implementations. This is useful when users want to start with a clean slate before applying specific designs.

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
input_image_url
required
string

URL of the room image where the walls need to be primed. Ensure the image is accessible over the internet. Supported formats are PNG, JPEG, HEIF/HEIC.

Responses

Request samples

Content type
application/json
{}

Response samples

Content type
application/json
{}

Replace the sky in the image of a house

This endpoint allows you to replace the sky in an image of a house with a specified sky type. Choose from day, dusk, or night skies to enhance the aesthetic appeal of the property image.

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
input_image_url
required
string

The URL of the house image where the sky should be replaced. Must be a publicly accessible URL.

sky_type
required
string
Enum: "day" "dusk" "night"

The type of sky to replace in the image. Valid options are 'day', 'dusk', or 'night'.

Responses

Request samples

Content type
application/json
{}

Response samples

Content type
application/json
{}

Upscale an image

This endpoint allows users to upload an image and upscale it by a specified scale factor. The image should be in a supported format (JPEG, PNG, etc.). The response will include a base64 encoded string of the upscaled image.

Authorizations:
apiKeyAuth
Request Body schema: multipart/form-data
required
input_image
required
string <binary>

The image file to upscale. Max file size is 4MB.

scale_factor
required
integer [ 1 .. 8 ]

Scale factor determines the image resolution. See the table below for more details:

Scale Factor Image Dimension (Max) Design Credits Used
1 Max 768 pixels 0 credits
2 Max 1536 pixels 0 credits
3 Max 2304 pixels 1 credit
4 Max 3072 pixels 1 credit
5 Max 3840 pixels 2 credits
6 Max 4608 pixels 2 credits
7 Max 5376 pixels 3 credits
8 Max 6144 pixels 3 credits

Notes:

  1. Credits are calculated based on the image resolution requested.
  2. Resolutions above 2x (scale factor > 2) incur additional credits when using the generate_designs_for_room or upscale_image API.
  3. The "Max pixels" refers to the longest side of the image, while the shorter side may have equal or smaller number of pixels depending upon image's aspect ratio.
  4. Credits mentioned are cumulative for each request depending on the chosen resolution.
  5. If num_images > 1, then the total credits used will be num_images * credits per upscale.
  6. API Pricing: Pay-As-You-Go AI Virtual Staging uses a credit-based system where 1 credit = $0.20 per generated image (up to 1536 pixels on either dimension). By default, the API uses scale_factor = 2, producing images with maximum 1536 pixels. There is no additional charge for scale_factor ≤ 2. When scale_factor > 2, additional credits are required as shown in the table above.

Responses

Response samples

Content type
application/json
{
  • "error": "",
  • "message": "Successfully upscaled image.",
  • "info": {
    }
}

Remove Objects from Room

This endpoint removes non-essential objects from a room image, preserving only specified elements such as walls, ceiling, windows, and few more objects. The output is a processed image URL with the unwanted objects removed. Objects Preserved: wall, ceiling, door, windowpane, floor, railing, column, blind, light, stove, kitchen island, oven, microwave, dishwasher, hood, fan, radiator, refrigerator, sink, chandelier, fireplace, mirror, tree, curtain

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
input_image_url
string

URL of the input image. Ensure the image is accessible over the internet. Supported formats are - PNG, JPEG, HEIF/HEIC.

mask_image_url
string

Optional URL of a mask image to specify which objects to remove. The mask must be a black and white image where white pixels identify the objects to remove and black pixels identify areas to preserve. The mask image must have the same aspect ratio as the input image. If mask is not provided, all furniture and decor objects are removed from the room. Supported formats are - PNG, JPEG, HEIF/HEIC.

Responses

Request samples

Content type
application/json
{}

Response samples

Content type
application/json
{}

Change Wall Color

This endpoint allows you to change the color of walls in a room image to a specified hex color code. The AI will intelligently identify walls in the image and apply the new color while maintaining realistic lighting and shadows.

Credit Usage:

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
input_image_url
required
string

URL of the input image. Can be either a https:// URL or a data:// base64 encoded string. Supported formats are PNG, JPEG, HEIF/HEIC.

Note: When using data:// URLs, there is a 4MB limit on the file size.

Examples:

wall_color_hex_code
required
string^#[0-9A-Fa-f]{6}$

The hex color code for the new wall color. Must be a valid hex color code starting with # followed by 6 hexadecimal characters.

Examples:

  • "#FF5733" (Orange-Red)
  • "#4CAF50" (Green)
  • "#2196F3" (Blue)
  • "#9C27B0" (Purple)
  • "#FFC107" (Amber)

Responses

Request samples

Content type
application/json
{}

Response samples

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application/json
{}

(Beta)Generate Landscaping Designs

This endpoint generates landscaping designs based on the input image and user preferences like yard_type and garden_style. It works with empty or existing yard spaces to create beautiful outdoor designs.

Credit Usage:

Authorizations:
apiKeyAuth
Request Body schema: application/json
required
input_image_url
required
string

URL of the input image. Can be either a https:// URL or a data:// base64 encoded string. Supported formats are PNG, JPEG, HEIF/HEIC.

Note: When using data:// URLs, there is a 4MB limit on the file size.

Examples:

yard_type
required
string
Enum: "Front Yard" "Backyard" "Side Yard"

The type of yard to design. Case-insensitive.

garden_style
required
string
Enum: "Garden" "Shade Garden" "Herb and Vegetable garden" "California Style Garden" "Evergreen Garden" "Aquatic Garden" "Picturesque Garden" "New England Style Garden" "Colonial Style Garden" "Terraced Garden" "Bamboo Garden" "Patio Garden" "Pollinators-Friendly Garden" "Drought Resistant Garden" "Container Garden" "Tropical Garden" "Japanese Zen Garden" "Mediterranean Garden" "Rock Garden" "Private Courtyard Garden" "Outdoor Staircase Garden" "Mounds or Berms" "Therapeutic Garden" "Alpine Garden" "Feng Shui Garden" "Vertical Garden" "Chinese Classical Garden" "Rain Garden" "English Cottage Garden" "French Formal Garden" "Italian Renaissance Garden" "Xeriscaping Garden"

The style of garden to implement. Case-insensitive.

num_images
integer [ 1 .. 4 ]
Default: 1

Number of design variations to generate. Each image costs 1 credit.

Responses

Request samples

Content type
application/json
{}

Response samples

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application/json
{}