How to connect Google AI and OpenAI Image Generation
Create a New Scenario to Connect Google AI and OpenAI Image Generation
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or OpenAI Image Generation will be your first step. To do this, click "Choose an app," find Google AI or OpenAI Image Generation, and select the appropriate trigger to start the scenario.

Add the Google AI Node
Select the Google AI node from the app selection panel on the right.

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Configure the Google AI
Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Image Generation Node
Next, click the plus (+) icon on the Google AI node, select OpenAI Image Generation from the list of available apps, and choose the action you need from the list of nodes within OpenAI Image Generation.

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Authenticate OpenAI Image Generation
Now, click the OpenAI Image Generation node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Image Generation settings. Authentication allows you to use OpenAI Image Generation through Latenode.
Configure the Google AI and OpenAI Image Generation Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google AI and OpenAI Image Generation Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google AI, OpenAI Image Generation, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google AI and OpenAI Image Generation integration works as expected. Depending on your setup, data should flow between Google AI and OpenAI Image Generation (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google AI and OpenAI Image Generation
Slack + Google AI + OpenAI Image Generation: When a new message is posted to a Slack channel, the message content is used to generate an image with OpenAI. Then, the image is enhanced or altered using Google AI and the final image is sent back to the same Slack channel.
Google AI + OpenAI Image Generation + Google Docs: A text prompt is used to generate an initial image with OpenAI Image Generation. Google AI refines the image by generating a new image based on the first one. The refined image is then appended to a Google Docs document.
Google AI and OpenAI Image Generation integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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About OpenAI Image Generation
Automate image creation with OpenAI in Latenode. Generate visuals for marketing, content, or design workflows directly within your automated scenarios. Save time and resources by integrating AI image generation into your processes using Latenode’s visual editor and JavaScript functions for prompt customization. No more manual steps: just scalable, automated image workflows.
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See how Latenode works
FAQ Google AI and OpenAI Image Generation
How can I connect my Google AI account to OpenAI Image Generation using Latenode?
To connect your Google AI account to OpenAI Image Generation on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and OpenAI Image Generation accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate images from Google AI-processed text?
Yes, you can! Latenode lets you seamlessly pass text from Google AI to OpenAI Image Generation, automating image creation and enhancing your content workflows.
What types of tasks can I perform by integrating Google AI with OpenAI Image Generation?
Integrating Google AI with OpenAI Image Generation allows you to perform various tasks, including:
- Generate images based on sentiment analysis of customer feedback.
- Create marketing visuals from AI-generated product descriptions.
- Produce unique content for social media campaigns automatically.
- Automate personalized image creation from user-provided data.
- Translate text and generate corresponding images for global outreach.
Can I use custom JavaScript code to manipulate data between the apps?
Yes, Latenode allows embedding JavaScript code directly within your workflows, enabling sophisticated data transformations between Google AI and OpenAI Image Generation.
Are there any limitations to the Google AI and OpenAI Image Generation integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex workflows may require more processing time depending on data volumes.
- The quality of image generation is dependent on the quality of prompts.
- Rate limits of Google AI and OpenAI Image Generation apply.