Generate Veo 3.1 videos and Nano Banana Pro images with Google Flow
n8n-workflow-19991.n8n.io
· n8n.io
Quick overview This workflow collects a prompt via an n8n form and uses the useapi.net Google Flow API to generate either Nano Banana Pro images or Veo 3.1 videos, returning the results as downloadable binary files for use in downstream steps. How it works 1. Receives a submission from an n8n Form with a prompt, output type (Image or Video), and orientation. 2. Maps the form inputs to workflow settings, including the Google Flow model names, aspect ratio/orientation, and number of outputs. 3. If Image is selected, sends a request to the useapi.net Google Flow Images endpoint to generate the image(s). 4. Downloads each returned image (from a signed URL or inline base64) and outputs it as binary file data. 5. If Video is selected, starts an asynchronous video generation job via the useapi.net Google Flow Videos endpoint. 6. Waits and polls the useapi.net job status endpoint until the job completes or fails. 7. On completion, downloads the signed video URL(s) and outputs MP4(s) as binary
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Conformance score: 60/100
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| Agent card | https://n8n.io/workflows/19991 |
| Provider | https://n8n.io |
| Docs | https://n8n.io/workflows/19991 |
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"icon": "\ud83d\udcc8",
"label": "A low-code bitcoin ticker built with QuestDB and n8n.io"
},
{
"url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
"icon": "\ud83c\udfa1",
"label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
},
{
"url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/",
"icon": "\ud83c\udf96",
"label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
},
{
"url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
"icon": "\ud83d\udef5",
"label": "How Goomer automated their operations with over 200 n8n workflows"
},
{
"url": "https://n8n.io/blog/aws-workflow-automation/",
"label": "7 no-code workflow automations for Amazon Web Services"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Data Transformation"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Edit Fields"
},
"iconData": {
"icon": "pen",
"type": "icon"
},
"displayName": "Edit Fields (Set)",
"typeVersion": 3,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 112,
"icon": "fa:map-signs",
"name": "n8n-nodes-base.switch",
"codex": {
"data": {
"alias": [
"Router",
"If",
"Path",
"Filter",
"Condition",
"Logic",
"Branch",
"Case"
],
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
"icon": "\u2600\ufe0f",
"label": "2021: The Year to Automate the New You with n8n"
},
{
"url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
"icon": "\ud83d\udc65",
"label": "How to get started with CRM automation (with 3 no-code workflow ideas"
},
{
"url": "https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/",
"icon": "\ud83d\udc66",
"label": "Build your own virtual assistant with n8n: A step by step guide"
},
{
"url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/",
"icon": "\ud83c\udff7\ufe0f",
"label": "How to automatically manage contributions to open-source projects"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.switch/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Flow"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Switch",
"color": "#506000"
},
"iconData": {
"icon": "map-signs",
"type": "icon"
},
"displayName": "Switch",
"typeVersion": 3,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 514,
"icon": "fa:pause-circle",
"name": "n8n-nodes-base.wait",
"codex": {
"data": {
"alias": [
"pause",
"sleep",
"delay",
"timeout"
],
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
"icon": "\ud83d\udc65",
"label": "How to get started with CRM automation (with 3 no-code workflow ideas"
},
{
"url": "https://n8n.io/blog/aws-workflow-automation/",
"label": "7 no-code workflow automations for Amazon Web Services"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.wait/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Flow"
]
}
}
},
"group": "[\"organization\"]",
"defaults": {
"name": "Wait",
"color": "#804050"
},
"iconData": {
"icon": "pause-circle",
"type": "icon"
},
"displayName": "Wait",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 528,
"icon": "fa:exclamation-triangle",
"name": "n8n-nodes-base.stopAndError",
"codex": {
"data": {
"alias": [
"Throw error",
"Error",
"Exception"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.stopanderror/"
}
]
},
"categories": [
"Core Nodes",
"Utility"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Flow"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Stop and Error",
"color": "#ff0000"
},
"iconData": {
"icon": "exclamation-triangle",
"type": "icon"
},
"displayName": "Stop and Error",
"typeVersion": 1,
"nodeCategories": [
{
"id": 7,
"name": "Utility"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 565,
"icon": "fa:sticky-note",
"name": "n8n-nodes-base.stickyNote",
"codex": {
"data": {
"alias": [
"Comments",
"Notes",
"Sticky"
],
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Sticky Note",
"color": "#FFD233"
},
"iconData": {
"icon": "sticky-note",
"type": "icon"
},
"displayName": "Sticky Note",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 834,
"icon": "file:code.svg",
"name": "n8n-nodes-base.code",
"codex": {
"data": {
"alias": [
"cpde",
"Javascript",
"JS",
"Python",
"Script",
"Custom Code",
"Function"
],
"details": "The Code node allows you to execute JavaScript in your workflow.",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
"categories": [
"Development",
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Code"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Code",
"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1225,
"icon": "file:form.svg",
"name": "n8n-nodes-base.formTrigger",
"codex": {
"data": {
"alias": [
"table",
"submit",
"post"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Other Trigger Nodes"
]
}
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "On form submission"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "n8n Form Trigger",
"typeVersion": 3,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow collects a prompt via an n8n form and uses the useapi.net Google Flow API to generate either Nano Banana Pro images or Veo 3.1 videos, returning the results as downloadable binary files for use in downstream steps. How it works 1. Receives a submission from an n8n Form with a prompt, output type (Image or Video), and orientation. 2. Maps the form inputs to workflow settings, including the Google Flow model names, aspect ratio/orientation, and number of outputs. 3. If Image is selected, sends a request to the useapi.net Google Flow Images endpoint to generate the image(s). 4. Downloads each returned image (from a signed URL or inline base64) and outputs it as binary file data. 5. If Video is selected, starts an asynchronous video generation job via the useapi.net Google Flow Videos endpoint. 6. Waits and polls the useapi.net job status endpoint until the job completes or fails. 7. On completion, downloads the signed video URL(s) and outputs MP4(s) as binary file data, or stops with an error if the job fails. Setup 1. Create a useapi.net account and API token (https://useapi.net/docs/start-here/setup-useapi), then connect your Google account with the automated browser setup (https://useapi.net/docs/start-here/setup-google-flow). Images work on any Google AI plan. Video needs a paid plan and spends its Flow credits. 2. Create an n8n HTTP Header Auth credential for useapi.net (for example, header Authorization: Bearer <API token) and select it on all HTTP Request steps. 3. (Optional) Set the email, count, and desired model IDs in the workflow settings if you want to target a specific connected Google account or generate multiple outputs per run. Requirements - A useapi.net subscription ($15/month flat, covers 3 Google Flow accounts) Customization - Change the models in the Settings node: nano-banana-2, nano-banana-2-lite, veo-3.1-lite, veo-3.1-quality, or omni-flash (Omni 1.1 Flash: audio-native video with voices, available only in Google Flow) Additional info Generation runs on your own Google Flow account, so it spends your Google AI plan instead of metered Gemini API billing. There is no Google Cloud project or Gemini API key. Full API docs and pricing: https://useapi.net/docs/api-google-flow-v1. Runnable Node.js and Python examples: https://github.com/useapi/google-flow-api. Disclosure: this template is published by useapi.net."
}
}