Flair AI Custom Model API (1.0.0)

Creates a new custom model that can be trained on your data.

Example use case: Creating a model to generate images of clothing items in your brand's style.

Retrieves a list of all custom models accessible to the authenticated user.

Example use case: Getting an overview of all your brand's style models.

Retrieves details about a specific custom model.

Example use case: Checking the name of your clothing style model.

Updates the display name of an existing model.

Example use case: Renaming your clothing style model to be more specific.

Marks a model as deleted without physically removing it. This preserves the model's history and associated predictions.

Example use case: Removing an old clothing style model you no longer need.

Uploads a single image to use as training data for the model.

Supported formats: webp, png, jpeg, jpg Maximum file size: 10MB

Example use case: Uploading photos of dresses in your brand's style to train the model.

Retrieves a list of all training images uploaded for a specific model.

Example use case: Reviewing all the dress photos you've uploaded for training.

Retrieves details about a specific training image, including the image data.

Example use case: Retrieving a specific dress photo you uploaded for training.

Replaces an existing training image with a new one.

Example use case: Replacing a low-quality dress photo with a better one.

Permanently removes a training image from the model.

Example use case: Removing a dress photo that doesn't match your brand's style.

Initiates a training job for the model using uploaded training images.

The trainingStrength parameter determines the extent to which the model aligns with the dataset content. Stronger = closer to dataset.

Two training modes are available:

• fast: Several minutes
• high_quality: A few hours of training at most.

Example use case: Training your model to generate images in your brand's dress style.

Retrieves a list of all training jobs for a specific model.

Example use case: Checking the history of training attempts for your dress style model.

Checks the current status of a specific training job.

Example use case: Monitoring the progress of your dress style model training.

Attempts to cancel an in-progress training job. Note that:

• Cancellation is not guaranteed to succeed
• You will be charged for partially completed training
• Already completed or failed jobs cannot be canceled

Example use case: Stopping a training job that's using incorrect parameters.

Marks a training job as deleted without actually canceling it. This is a soft-delete that preserves the training history.

Example use case: Cleaning up old training records while preserving the trained model.

Generates new images using your trained model(s).

Example use case: Generating new dress designs in your brand's style.

You can combine multiple trained models by specifying their weights in scaleConfigs.

Retrieves a list of all predictions made by the authenticated user.

Example use case: Reviewing all your generated dress designs.

Retrieves the current status and generated images (if available) for a specific prediction.

Example use case: Checking if your dress designs have been generated and downloading them.

Marks a prediction as deleted. This is a soft-delete that preserves the prediction history.

Example use case: Removing old or unsuccessful dress design generations from your list.