A random string that will replace the subject keyword at the time of inference. If not provided; a random string will be automatically generated

This is the keyword you will use during inference to trigger the specific styles

The subject type - what the underlying model is learning

This is the name of the model. It will be used to identify the model

Whether to return the sample in the response as an object

returnInObject

modelId

The ID of the weights to use for training - defaults to Stable Diffusion v1.5 weights

The number of steps your model will be trained for

An optional webhook URL that will be called when the model is trained

The ID of the model to upload samples to.

Whether to return the sample in the response as an object. Will return array if false.

An array of strings containing the URLs of the images to upload

sampleId

The ID of the model that contains the sample

versionId

Generate an image using a text prompt. The model used to generate the image is determined by the modelId parameter. A job ID is returned that can be used to retrieve the generated image(s).

The ID of the model to use to generate images.

Optionally enhance your prompts automatically to generate better results.

The height of the image to use for the inference. Must be a multiple of 8.

Negative prompts to use for the inference.

The number of images to generate for the inference. Max batch size is 20.

The prompt to use for the inference. A photo of an astronaut riding a horse

The higher the prompt strength the closer the generated image will be to the prompt. Must be between 0 and 30.

Optionally apply face restoration to the generated images. This will make images of faces look more realistic.

Choose the sampler used for your inference.

The seed to use for the inference. Must be a positive integer.

The number of steps to use for the inference.

Optionally upscale the generated images. This will make the images look more realistic. The default is x1 which means no upscaling. The maximum is x4.

The version of the model to use for the inference. If not provided will default to latest.

An optional webhook URL that will be called when the model is trained.

The width of the image to use for the inference. Must be a multiple of 8.

Fetch a list of inference jobs for a particular model.

The ID of the model to retrieve inferences for

If set to true; only finished inferences will be returned. If set to false or not set; all inference jobs will be returned

onlyFinished

page

pageSize

inferenceId

projectId

The ID of the model that the File upload to.

The segmentation mode that should be used when generating the image.

A statement explaining what to avoid in the image

A text prompt explaining what the generated image should look like

The seed to use for the random number generator

An optional URL to ping with the status when the job is finished

The ID of the model to use for the image generation

The URL of the image to use as the source image. Make sure the image is public

The segmentation mode that should be used when generating the image

The negative prompt instructs the model on things it should avoid doing

A text prompt to use when generating the image.

A random seed to use when generating the image

How many steps to perform - more steps will take longer; but may produce better results

This will include the generated images if the job was successful

remixId

The ID of the model that the job belongs to.

Leap AI

Pre-configured, Predictable, Single Interface, Ready-to-use, Opinionated & Managed API Explorer & Server - LowCodeAPI

Pre-configured, Predictable, Single Interface, Ready-to-use, Opinionated & Managed API Explorer & Server. Bring your API credentials, configure and access your 3rd party APIs. Using LowCodeAPI securely manage all integrations in one place.

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OpenAI

Google Sheets

Google Docs

Notion

Gmail

Unsplash

Google Drive

Google Forms

Name.com

Gumroad

Trello

Telegram

The Stripe API is organized around REST. Our API has predictable resource-oriented URLs, accepts form-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs.