ERNIE-Image Trainer
/v1/runErnie Image Trainer by Baidu - advanced AI model for training. Delivers high-quality results with fast inference, suitable for both creative and production workflows.
Request body
Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.
Model identifier. Set to baidu/ernie-image-trainer.
Default: baidu/ernie-image-trainer
URL to the input data zip archive. The zip should contain pairs of images and corresponding captions. The images should be named: ROOT.EXT. For example: 001.jpg The corresponding captions should be named: ROOT.txt. For example: 001.txt If no text file is provided for an image, the default_caption will be used.
Default caption to use when caption files are missing. If None, missing captions will cause an error.
Learning rate.
Default: 0.0005
Number of steps to train for
Range: 10 to 40000
Default: 2000
Response Schema
The submit endpoint returns a run response. If its status is pending or running, poll GET /v1/run/{id} with the returned opaque ID until it reaches a terminal state.
Opaque SandBase run identifier. Use it exactly as returned; no prefix is guaranteed.
Current public run status.
Allowed values: pending, running, completed, failed, timeout
Public SandBase model name used for this run.
Present only for completed runs. Each object is capability-specific; inspect the selected model schema for its fields.
Present only for failed or timeout runs. Contains a public error type and sanitized message.
Stable public error category.
Sanitized error message safe to show to clients.
Usage details when available.
Model capabilities
Capabilities declared by the model registry.
Default: training
Execution mode declared by the model registry.
Default: async