How to connect Google Vertex AI and Fotor
Create a New Scenario to Connect Google Vertex AI and Fotor
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 Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Fotor will be your first step. To do this, click "Choose an app," find Google Vertex AI or Fotor, and select the appropriate trigger to start the scenario.

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

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

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Authenticate Fotor
Now, click the Fotor node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fotor settings. Authentication allows you to use Fotor through Latenode.
Configure the Google Vertex AI and Fotor 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 Vertex AI and Fotor 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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AI Anthropic Claude 3
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Fotor
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Fotor, 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 Vertex AI and Fotor integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Fotor (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Fotor
Google Vertex AI + Fotor + Google Drive: Generate an image using Google Vertex AI, enhance the generated image with Fotor's AI Headshot Generation, and then save the enhanced image to a specified folder in Google Drive.
Fotor + Google Vertex AI + Shopify: When a new product is added to Shopify, use Fotor to enhance the product image, then generate a product description with Google Vertex AI, and update the product description on Shopify.
Google Vertex AI and Fotor integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About Fotor
Automate image editing with Fotor in Latenode. Fix, enhance, or batch-process images as part of larger workflows. Great for e-commerce (product shots) or marketing (social media). Instead of manual edits, use Fotor's features inside Latenode and trigger them with events or schedules. Streamline design tasks and maintain brand consistency easily.
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See how Latenode works
FAQ Google Vertex AI and Fotor
How can I connect my Google Vertex AI account to Fotor using Latenode?
To connect your Google Vertex AI account to Fotor on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Fotor accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate and edit images using AI prompts?
Yes, you can! Latenode allows you to use AI prompts from Google Vertex AI to generate images and then edit them in Fotor, automating content creation and design workflows.
What types of tasks can I perform by integrating Google Vertex AI with Fotor?
Integrating Google Vertex AI with Fotor allows you to perform various tasks, including:
- Automatically generating marketing images based on AI-driven trend analysis.
- Creating personalized social media content at scale using AI and image editing.
- Enhancing user-submitted photos with AI-powered filters and stylistic elements.
- Generating product mockups with AI and refining them with Fotor's design tools.
- Automating the creation of training materials using AI-generated visuals.
How does Latenode handle Google Vertex AI API authentication?
Latenode simplifies authentication with secure credential storage and streamlined OAuth flows, enabling fast and secure Google Vertex AI connections.
Are there any limitations to the Google Vertex AI and Fotor integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex image editing workflows may require significant processing time.
- The quality of AI-generated content depends on the specificity of the prompts.
- Large-scale image processing might be subject to API rate limits.