Midjourney Video Automation
Pricing
$19.00/month + usage
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Midjourney Video Automation
Automate Midjourney to generate AI videos through API or user interface. Create multiple clips simultaneously, manage batch processing, and auto-extend videos. Includes an HTML gallery for easy browsing and downloading. Perfect for streamlining your Midjourney video workflow.
0.0 (0)
Pricing
$19.00/month + usage
0
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
5 hours ago
You can access the Midjourney Video Automation programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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(You can also use Google Drive folder URL instead)", "items": { "type": "string" } }, "googleDriveFolders": { "title": "Google Drive folder URLs (only for image to video)", "type": "array", "description": "Google Drive folder URLs with images to generate videos. It must be publicly shared. Maximum of 50 files per folder.", "items": { "type": "string" } }, "mode": { "title": "Generation mode", "enum": [ "relaxed", "fast", "turbo" ], "type": "string", "description": "Mode to generate images. (Relaxed mode is only available for 'Pro Plan' or higher subscriptions)", "default": "relaxed" }, "private": { "title": "Private mode", "type": "boolean", "description": "Generate private videos in stealth mode. (Only available for 'Pro Plan' or higher subscriptions)", "default": false }, "extensions": { "title": "Extensions (4 extra seconds each)", "maximum": 4, "type": "integer", "description": "Number of extensions to be applied for each video (4 extra seconds each).", "default": 0 }, "concurrency": { "title": "Concurrency", "type": "integer", "description": "Number of concurrent jobs", "default": 1 }, "minWait": { "title": "Minimum wait time", "type": "integer", "description": "Minimum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.", "default": 5 }, "maxWait": { "title": "Maximum wait time", "type": "integer", "description": "Maximum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.", "default": 10 }, "jobTimeout": { "title": "Job timeout", "type": "integer", "description": "Job timeout in seconds. If the job takes longer than the timeout, it will be skipped.", "default": 300 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}Midjourney Video Automation OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Midjourney Video Automation from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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