Decorator - ModelsLab

Request

Make a POST request to below endpoint and pass the required parameters in the request body.

curl

--request POST 'https://modelslab.com/api/v1/enterprise/interior/room_decorator' \

Body

json

{  
    "key":"enterprise_api_key",  
    "init_image": "https://assets.modelslab.ai/generations/05550b6f-032a-408e-83ae-8100f2c481e5", 
    "prompt": "luxury badroom, table, red carpet, wodden floor",  
    "negative_prompt": "bad quality",  
    "seed": 0,  
    "guidance_scale": 8,  
    "strength": 0.99,  
    "num_inference_steps": 51,  
    "base64": false,  
    "temp": false,  
    "specific_object": "mid-century coffee table",  
    "webhook":null,  
    "track_id": null
}

Body Attributes

string

required

Your API Key used for request authorization.

string

required

The text prompt describing the content you want in the generated image.

string

Link to the Initial Image of the room.

string

Negative prompts are descriptions of things we don’t want in our image. Examples include NSFW content, extra limbs, distorted faces, poor quality, or anything else to avoid.

number

Prompt strength when using init_image. 1.0 corresponds to full destruction of information in the init image.

boolean

default:"false"

Get response as a base64 string. Options: true or false.

integer

The number of denoising steps. Acceptable values are 21, 31, or 41.

integer

The scale for classifier-free guidance. Minimum is 1 and maximum is 20.

boolean

default:"false"

Create temp image link. This link is valid for 24 hours.

string

Name a specific furniture or decor element that must appear in the redesigned room.

integer

Seed is used to reproduce results. Same seed will give you same image in return again. Pass null for a random number.

string

Provide a URL to receive a POST API call once the image generation is complete.

integer

This ID is returned in the response to the webhook API call and will be used to identify the webhook request.

​Request

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​Body Attributes

Request

Body

Body Attributes