Replicate · Ai Models

Replicate / Generate a video

Generates a short video from a prompt with MiniMax video-01 on Replicate. Send modelowner minimax, modelname video-01 and input with prompt. The run is asynchronous and can take a few minutes; the result is the finished prediction with the video URL in output.

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Request parameters

input body · required
The model's input as a JSON object. The input schema depends on what model you are running. To see the available inputs, click the "API" tab on the model you are running or [get the model version](#models.versions.get) and look at its `openapi_schema` property. For example, [stability-ai/sdxl](https://replicate.com/stability-ai/sdxl) takes `prompt` as an input. Files should be passed as HTTP URLs or data URLs. Use an HTTP URL when: - you have a large file > 256kb - you want to be able to use...
stream body · optional
**This field is deprecated.** Request a URL to receive streaming output using [server-sent events (SSE)](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events). This field is no longer needed as the returned prediction will always have a `stream` entry in its `urls` property if the model supports streaming.
webhook body · optional
An HTTPS URL for receiving a webhook when the prediction has new output. The webhook will be a POST request where the request body is the same as the response body of the [get prediction](#predictions.get) operation. If there are network problems, we will retry the webhook a few times, so make sure it can be safely called more than once. Replicate will not follow redirects when sending webhook requests to your service, so be sure to specify a... Example: "https://example.com/my-webhook-handler"
webhook_events_filter body · optional
By default, we will send requests to your webhook URL whenever there are new outputs or the prediction has finished. You can change which events trigger webhook requests by specifying `webhook_events_filter` in the prediction request: - `start`: immediately on prediction start - `output`: each time a prediction generates an output (note that predictions can generate multiple outputs) - `logs`: each time log output is generated by a prediction - `completed`: when the prediction reaches a termi...

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