/generate/describe-style

Describe the style of the given images or models.

Query Params
string
Body Params
boolean

Whether we try to ensure IP removal for new prompt generation.

images
array of strings

List of images used to condition the generation.

Images are set a data URLs (example: "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVQYV2NgYAAAAAMAAWgmWQ0AAAAASUVORK5CYII=") or the asset IDs (example: "asset_GTrL3mq4SXWyMxkOHRxlpw").

Notes:

  • in contextual mode, images condition prompt generation by using their actual descriptions as context
  • in all other modes, it supersedes the modelId parameter when provided.
images
number

If specified, the API will make a best effort to produce the same results, such that repeated requests with the same seed and parameters should return the same outputs. Must be used along with the same parameters including prompt, model's state, etc..

unwantedSequences
array of strings

Optional list of words sequences that should not be present in the generated prompts.

unwantedSequences
string

The modelId used to condition the generation.

When provided, the generation will take into account model's training images, examples.

In contextual mode, the modelId is used to retrieve additional context from the model such as its type and capabilities.

number
0 to 2

The sampling temperature to use. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

We generally recommend altering this or topP but not both.

assetIds
array of strings

The asset ids used to condition the generation.

assetIds
number
0 to 1

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

We generally recommend altering this or temperature but not both.

Responses

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