generates an image based on the textual description text.


generates a new image based on image.


generates n images based on the specification spec.

Details and Options

  • ImageSynthesize is used to generate a synthetic image based on a textual description or a reference image, or to fill in a portion of an image.
  • The image description in text can be used to specify the image content, type (photorealistic, drawing, etc.), artistic style, colors, etc.
  • Possible values of the spec include:
  • textgenerate an image based on text
    imagegenerate a variation of image
    assocgenerate an image based on the parameters in assoc
  • Possible keys in the parameter association assoc are:
  • "Text"image description
    "Image"image seed for the synthesis
    "Mask"part of the image to synthesize
  • According to the specified parameters, the following tasks will be performed:
  • {"Text"}image synthesis from a textual description
    {"Image"}image synthesis from a reference image
    {"Text","Image"}inpaint of the transparent part of the image
    {"Text","Image","Mask"}inpaint of the part of the image specified by the mask
  • The following options can be specified:
  • Authentication Automaticexplicit user ID and API key
    ImageSize Smallthe size of the generated image
  • Possible values for Authentication are:
  • Automaticchoose the authentication scheme automatically
    Environmentcheck for a key in the environment variables
    SystemCredentialcheck for a key in the system keychain
    ServiceObject[]inherit the authentication from a service object
    assocprovide explicit key and user ID
  • With AuthenticationAutomatic, the function checks the variable "OPENAI_API_KEY" in Environment and SystemCredential, otherwise it uses ServiceConnect["OpenAI"].
  • When using Authenticationassoc, assoc can contain the following keys:
  • "ID"user identity
    "APIKey"API key used to authenticate
  • Possible values for ImageSize are:
  • Small256×256 pixels
    Medium512×512 pixels
    Large1024×1024 pixels
  • ImageSynthesize uses machine learning. Its methods, training sets and biases included therein may change and yield varied results in different versions of the Wolfram Language.


open allclose all

Basic Examples  (3)

Generate a Monet-like painting:

Generate three variations of the same image:

Generate several images using the same prompt:

Scope  (5)

Synthesize an image from a prompt:

Synthesize an image variation using a reference image:

Synthesize parts of an image using a prompt and a transparent reference image:

Synthesize parts of an image using a prompt and a binary mask:

Synthesize multiple images at once:

Options  (6)

Authentication  (4)

Provide an authentication key for the API:

Provide both a user ID and the API key:

Look for the key in the system keychain:

Look for the key in the system environment:

Authenticate via a service object:

ImageSize  (2)

Synthesize images of different sizes:

Synthesize a larger variation of an image:

Wolfram Research (2023), ImageSynthesize, Wolfram Language function,


Wolfram Research (2023), ImageSynthesize, Wolfram Language function,


Wolfram Language. 2023. "ImageSynthesize." Wolfram Language & System Documentation Center. Wolfram Research.


Wolfram Language. (2023). ImageSynthesize. Wolfram Language & System Documentation Center. Retrieved from


@misc{reference.wolfram_2023_imagesynthesize, author="Wolfram Research", title="{ImageSynthesize}", year="2023", howpublished="\url{}", note=[Accessed: 04-October-2023 ]}


@online{reference.wolfram_2023_imagesynthesize, organization={Wolfram Research}, title={ImageSynthesize}, year={2023}, url={}, note=[Accessed: 04-October-2023 ]}