ActionGoogle Vertex AIUpdated September 2026

How do I generate images with Imagen on Vertex AI?

Short answer: You can imagen generate in Google Vertex AI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Google Vertex AI Imagen Generate action to a workflow, map its 4 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Imagen Generate in Google Vertex AI — start free
Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

FieldTypeRequiredDescription
Model
model
optionsOptionalModel. Options: Imagen 4, Imagen 3 Fast
Prompt
prompt
stringRequiredPrompt (required)
Number of Images
sample_count
stringOptionalNumber of Images
Aspect Ratio
aspect_ratio
optionsOptionalAspect Ratio. Options: 1:1, 16:9, 9:16 …
Sample request
{
"model": "{{trigger.model}}",
"prompt": "{{trigger.prompt}}",
"sample_count": "{{trigger.sample_count}}",
"aspect_ratio": "{{trigger.aspect_ratio}}"
}
Returns
{
"predictions": [
{
"mimeType": "image/png",
"bytesBase64Encoded": "<base64>"
}
]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Imagen Generate.

Any of these apps can fire this action as part of a workflow.

FAQ

Questions about Imagen Generate.

What does the Imagen Generate action do in Google Vertex AI?
Generates images using Imagen on Vertex AI, the enterprise-tier image model with prompt-rewriting controls, safety filters, and retention controls suitable for regulated workloads.
What inputs does Imagen Generate require?
Required: Prompt. Every input accepts a static value or a variable from any upstream node in your workflow.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if Google Vertex AI returns an error?
The run history shows the failed step with its input and the error message Google Vertex AI returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.
Does Imagen Generate support batch operations?
Run Imagen Generate inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Google Vertex AI's rate limits.
More actions

Other Google Vertex AI actions.

Imagen Generate in Google Vertex AI — start free