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

Add the OpenAI Image Generation Node
Select the OpenAI Image Generation node from the app selection panel on the right.

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

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Authenticate Lark
Now, click the Lark node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lark settings. Authentication allows you to use Lark through Latenode.
Configure the OpenAI Image Generation and Lark 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 OpenAI Image Generation and Lark 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Image Generation, Lark, 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 OpenAI Image Generation and Lark integration works as expected. Depending on your setup, data should flow between OpenAI Image Generation and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Image Generation and Lark
OpenAI Image Generation + Lark + Google Drive: When an image is generated by OpenAI, it's sent as a message to a Lark group chat and also uploaded to a specific Google Drive folder.
Lark + OpenAI Image Generation + Trello: When a new message arrives in a Lark group chat, an image is generated by OpenAI based on the message content, then a Trello card is created.
OpenAI Image Generation and Lark integration alternatives
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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About Lark
Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.
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See how Latenode works
FAQ OpenAI Image Generation and Lark
How can I connect my OpenAI Image Generation account to Lark using Latenode?
To connect your OpenAI Image Generation account to Lark on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Image Generation and click on "Connect".
- Authenticate your OpenAI Image Generation and Lark accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically share AI-generated images to Lark channels?
Yes, you can! Latenode simplifies this with its visual editor, letting you instantly post unique AI images to your team. This keeps everyone updated and engaged effortlessly.
What types of tasks can I perform by integrating OpenAI Image Generation with Lark?
Integrating OpenAI Image Generation with Lark allows you to perform various tasks, including:
- Generating and sharing promotional images directly to Lark channels.
- Creating daily unique avatars for team members using AI and posting them.
- Automatically sharing AI-generated art based on trending topics in a Lark group.
- Generating visualizations of data discussed in Lark and posting the images.
- Creating custom reaction images using AI and sharing them in Lark chats.
Can I use custom code to enhance image generation in my Latenode workflows?
Yes! Latenode supports JavaScript, enabling advanced image manipulation or prompt engineering for superior OpenAI Image Generation results.
Are there any limitations to the OpenAI Image Generation and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- OpenAI Image Generation rate limits apply based on your OpenAI subscription.
- Lark file size limits for image uploads are enforced.
- Complex workflows with high volumes may require optimized resource allocation.