Generate Image with Imagen: Google Gemini action

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 (best), Imagen 3
Prompt prompt	string	Required	Prompt (required)
Num Images number_of_images	string	Optional	Num Images
Aspect Ratio aspect_ratio	options	Optional	Aspect Ratio. Options: 1:1, 16:9, 9:16 …

Sample request

{
  "model": "{{trigger.model}}",
  "prompt": "{{trigger.prompt}}",
  "number_of_images": "{{trigger.number_of_images}}",
  "aspect_ratio": "{{trigger.aspect_ratio}}"
}

Returns

{
  "predictions": [
    {
      "mimeType": "image/png",
      "bytesBase64Encoded": "<base64>"
    }
  ]
}

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

FAQ

Questions about Generate Image with Imagen.

What does the Generate Image with Imagen action do in Google Gemini?

Generates images via Google's Imagen models. For workflows that need Google-AI-ecosystem image generation rather than going to Flux/Midjourney/DALL-E directly.

What inputs does Generate Image with Imagen 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 Gemini returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Generate Image with Imagen support batch operations?

Yes. Run Generate Image with Imagen inside a Loop node to process arrays. Tiny Command handles Google Gemini's rate limits automatically so you don't have to throttle manually.

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