This automation template allows users to generate high-quality AI images and videos using the KIE.AI Midjourney API. It provides an intuitive form interface where users can enter a text prompt, optional image URL, and select the task type (text-to-image, image-to-image, or video generation).
The workflow then handles the API request, monitors the progress, and formats the final results for display. This integration streamlines the process of creating professional-grade AI-generated media and storing the outputs directly in a designated database or application.
Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how credits work →Workflow preview
The user enters a text prompt, an optional image URL, and selects the task type (text-to-image, image-to-image, or video generation) in the provided form interface.
The workflow submits the API request to KIE.AI Midjourney to initiate the video generation process.
The system monitors the status of the video generation request, waiting for the process to complete.
The workflow checks the status of the video generation task to determine if the video has been successfully generated.
Once the video is generated, the workflow saves the video file or its URL to the designated database or application.
1. In the Latenode Credentials panel, add a new credential for the KIE.AI Midjourney API. 2. Enter your KIE.AI Midjourney API key and any other required authentication details.
1. In the Latenode visual builder, add the 'AI Image/Video Generation' node. 2. In the node settings, select the KIE.AI Midjourney API credential you created earlier. 3. Configure the input fields for the text prompt, optional image URL, and task type (text-to-image, image-to-image, or video generation).
1. Connect the 'AI Image/Video Generation' node to your destination node (e.g., a database, storage, or another integration). 2. In the destination node settings, map the relevant output fields from the 'AI Image/Video Generation' node, such as the generated image or video URLs.
1. Optionally, add additional nodes to the workflow to further process, transform, or store the generated AI media. 2. Configure any necessary settings or connections for the additional nodes you add.
1. Test the workflow by entering sample input data and verifying the generated AI media is correctly processed and stored. 2. Once you're satisfied with the workflow, publish it to make it available to other users.
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