Cancel a prediction that is currently running.

Example cURL request that creates a prediction and then cancels it:

# First, create a prediction
PREDICTION_ID=$(curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "a video that may take a while to generate"
    }
  }' \
  https://api.replicate.com/v1/models/minimax/video-01/predictions | jq -r '.id')

# Echo the prediction ID
echo "Created prediction with ID: $PREDICTION_ID"

# Cancel the prediction
curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  https://api.replicate.com/v1/predictions/$PREDICTION_ID/cancel

Create a prediction for the model version and inputs you provide.

Example cURL request:

curl -s -X POST -H 'Prefer: wait' \
  -d '{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}' \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H 'Content-Type: application/json' \
  https://api.replicate.com/v1/predictions

The request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a "starting" state and need to be retrieved using the predictions.get endpoint.

For a complete overview of the predictions.create API check out our documentation on creating a prediction which covers a variety of use cases.

Get the current state of a prediction.

Example cURL request:

curl -s \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu

The response will be the prediction object:

{
  "id": "gm3qorzdhgbfurvjtvhg6dckhu",
  "model": "replicate/hello-world",
  "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
  "input": {
    "text": "Alice"
  },
  "logs": "",
  "output": "hello Alice",
  "error": null,
  "status": "succeeded",
  "created_at": "2023-09-08T16:19:34.765994Z",
  "data_removed": false,
  "started_at": "2023-09-08T16:19:34.779176Z",
  "completed_at": "2023-09-08T16:19:34.791859Z",
  "metrics": {
    "predict_time": 0.012683
  },
  "urls": {
    "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",
    "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",
    "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"
  }
}

status will be one of:

• starting: the prediction is starting up. If this status lasts longer than a few seconds, then it's typically because a new worker is being started to run the prediction.
• processing: the predict() method of the model is currently running.
• succeeded: the prediction completed successfully.
• failed: the prediction encountered an error during processing.
• canceled: the prediction was canceled by its creator.

In the case of success, output will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You'll need to pass the Authorization header to request them.

In the case of failure, error will contain the error encountered during the prediction.

Terminated predictions (with a status of succeeded, failed, or canceled) will include a metrics object with a predict_time property showing the amount of CPU or GPU time, in seconds, that the prediction used while running. It won't include time waiting for the prediction to start. The metrics object will also include a total_time property showing the total time, in seconds, that the prediction took to complete.

All input parameters, output values, and logs are automatically removed after an hour, by default, for predictions created through the API.

You must save a copy of any data or files in the output if you'd like to continue using them. The output key will still be present, but it's value will be null after the output has been removed.

Output files are served by replicate.delivery and its subdomains. If you use an allow list of external domains for your assets, add replicate.delivery and *.replicate.delivery to it.

Get a paginated list of all predictions created by the user or organization associated with the provided API token.

This will include predictions created from the API and the website. It will return 100 records per page.

Example cURL request:

curl -s \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  https://api.replicate.com/v1/predictions

The response will be a paginated JSON array of prediction objects, sorted with the most recent prediction first:

{
  "next": null,
  "previous": null,
  "results": [
    {
      "completed_at": "2023-09-08T16:19:34.791859Z",
      "created_at": "2023-09-08T16:19:34.907244Z",
      "data_removed": false,
      "error": null,
      "id": "gm3qorzdhgbfurvjtvhg6dckhu",
      "input": {
        "text": "Alice"
      },
      "metrics": {
        "predict_time": 0.012683
      },
      "output": "hello Alice",
      "started_at": "2023-09-08T16:19:34.779176Z",
      "source": "api",
      "status": "succeeded",
      "urls": {
        "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",
        "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",
        "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"
      },
      "model": "replicate/hello-world",
      "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
    }
  ]
}

id will be the unique ID of the prediction.

source will indicate how the prediction was created. Possible values are web or api.

status will be the status of the prediction. Refer to get a single prediction for possible values.

urls will be a convenience object that can be used to construct new API requests for the given prediction. If the requested model version supports streaming, this will have a stream entry with an HTTPS URL that you can use to construct an EventSource.

model will be the model identifier string in the format of {model_owner}/{model_name}.

version will be the unique ID of model version used to create the prediction.

data_removed will be true if the input and output data has been deleted.