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.
Inputs
The fields this action accepts.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Model model | options | Optional | Model. Options: Imagen 4, Imagen 3 Fast |
Prompt prompt | string | Required | Prompt (required) |
Number of Images sample_count | string | Optional | Number of Images |
Aspect Ratio aspect_ratio | options | Optional | Aspect 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.
Action
Embed Text
Generates text embeddings on Vertex AI using Gemini Embedding or text-embedding-005. Use for RAG, semantic search, or clustering inside your GCP project (with the data-residency/retention controls that come with Vertex).
ActionGenerate Content (Gemini)
Calls Gemini models on Vertex AI using your GCP project, region, and IAM. Same model family as the public Gemini API but with enterprise governance: VPC-SC, CMEK, audit logs, and data-residency.