The ID of the custom model.

The ID of a public or custom model to filter by.

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

This is the keyword you will use during inference to trigger the concept you teach the model during fine-tuning.

The ID of the model whose version you want to retrieve.

The training job or version ID of the model.

The ID of the model to retrieve inferences for.

The ID of the inference to retrieve.

The ID of the Model on which versions are queued/trained.

What is the model ID of the model you want to use to generate this image.

Text description of the image you want to create.

Text description of what should be avoided / not included in your generated image.

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

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

An optional webhook (such as another Zap) that should be called when the image finishes generating.

The ID of the model to train.

An optional URL that will be called when training completes (or if training fails).

The ID of the custom model to upload samples to.

The URLs of the images to upload as samples.