Cheap and Fast High Quality AI UGC Image Generator

Overview

This workflow automates the creation of User-Generated Content (UGC) style marketing images for any product. Simply upload a product photo (preferably with a white background) to a designated Google Drive folder, and the workflow will use AI to generate 50 unique, realistic, and diverse UGC-style images showing the product being used in various real-world scenarios. All generated images are automatically saved back to the same Google Drive folder, ready for use in social media, e-commerce listings, and marketing campaigns.

This is an incredibly powerful tool for content creators, e-commerce stores, and marketing teams who need high-quality, authentic-looking product images at scale without expensive photoshoots. The workflow leverages Mistral AI for prompt generation and Fal.ai's Gemini 2.5 Flash Image model for image generation, making it both intelligent and cost-effective at approximately $0.039 per generated image.

Workflow Steps

  1. Google Drive Trigger (OAuth2) — Watches a specific Google Drive folder for new file uploads. When a new product image is detected, the workflow triggers automatically. Configured to poll every minute and trigger on file creation events in the "UGC" folder.

  2. Setup (No auth) — A simple Set node that stores your Fal.ai API key as a workflow variable. You must replace [YOUR_API_KEY] with your actual Fal.ai API key before running the workflow.

  3. Generate Prompts (No auth) — An LLM Chain node using Mistral Cloud Chat Model. It takes the product name (extracted from the uploaded file's name) and generates 50 creative, diverse, and realistic UGC-style image prompts. Each prompt describes a different scenario where the product is being used, including environment, human interaction, and product features.

  4. Mistral Cloud Chat Model (API Key auth) — The language model powering prompt generation. Uses the mistral-large-latest model to generate high-quality, contextually relevant prompts.

  5. Structured Output Parser (No auth) — Ensures the AI output is valid JSON matching the expected schema: an array of objects with prompt_number (integer) and prompt (string) fields.

  6. Split Out (No auth) — Splits the array of 50 generated prompts into individual items, so each prompt can be processed independently.

  7. Loop Over Items (No auth) — Iterates over each generated prompt one at a time. For each prompt, it triggers the image generation process.

  8. No Operation, do nothing (No auth) — A placeholder node on the loop's first output branch (used for flow control, does nothing).

  9. Generate Image (Header Auth) — An HTTP Request node that calls Fal.ai's Gemini 2.5 Flash Image Edit API. It sends the prompt text along with the original product image URL (from Google Drive) to generate a new UGC-style image. Authentication is via a custom Authorization header using the API key from the Setup node.

  10. Retrieve Image (No auth) — A second HTTP Request node that downloads the generated image from the URL returned by the Fal.ai API.

  11. Upload file (OAuth2) — Uploads the generated UGC image back to the same Google Drive folder. The filename is constructed from the original product name and the prompt number.

Setup Instructions

Required Accounts & Credentials

  1. Google Drive Account — You need a Google account with access to Google Drive. Create a folder (e.g., "UGC") where you'll upload product images and where generated images will be saved.

  2. Fal.ai Account — Sign up at fal.ai and get an API key. You'll need credits to use the Gemini 2.5 Flash Image Edit model.

  3. Mistral AI Account — Sign up at Mistral AI and obtain an API key for the chat model.

Configuration Steps

  1. Google Drive Credentials: In n8n, set up Google Drive OAuth2 credentials following this guide.

  2. Mistral AI Credentials: Add your Mistral API key as a credential in n8n.

  3. Fal.ai API Key: In the Setup node, replace [YOUR_API_KEY] with your actual Fal.ai API key.

  4. Google Drive Folder: Ensure your Google Drive folder and all files within it are publicly accessible (shareable via link). Update the folder ID in both the Google Drive Trigger and Upload file nodes.

  5. Product Image: Upload a product image with a white background to the watched Google Drive folder.

Use Cases & Customizations

Primary Use Cases

  • E-commerce Product Photography: Generate lifestyle images showing products in use for online stores
  • Social Media Content: Create authentic-looking UGC for Instagram, TikTok, and Facebook campaigns
  • Marketing Materials: Produce diverse product images for ads, brochures, and websites
  • A/B Testing: Generate multiple variations of product images to test in marketing campaigns

Customization Options

  • Number of Prompts: In the Generate Prompts node, change "Your task is to generate 50" to any number you prefer
  • Prompt Quality: Modify the instructions in the Generate Prompts node to change the style, tone, or focus of generated prompts
  • Multiple Base Images: In the Generate Image node's JSON body, add more image_urls to use multiple product images
  • Images Per Prompt: Change num_images in the Generate Image node to generate multiple variations per prompt
  • Output Folder: Change the folder ID in the Upload file node to save images to a different location
  • Image Model: Replace the Fal.ai endpoint URL to use a different image generation model
17 nodesmanual triggerMarketing
Lm Chat Mistral CloudHTTP RequestSplit In BatchesGoogle DriveOutput Parser StructuredNo OpSetChain Llm

Workflow JSON

{
  "id": "",
  "meta": {
    "instanceId": "",
    "templateCredsSetupCompleted": true
  },
  "name": "UGC Nano Banana",
  "tags": [],
  "nodes": [
    {
      "id": "",
      "name": "Mistral Cloud Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
      "position": [
        -192,
        192
      ],
      "parameters": {
        "model": "mistral-large-latest",
        "options": {}
      },
      "credentials": {
        "mistralCloudApi": {
          "id": "credential-id",
          "name": "mistralCloudApi Credential"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "",
      "name": "Generate Image",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        496,
        128
      ],
      "parameters": {
        "url": "https://fal.run/fal-ai/gemini-25-flash-image/edit",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"prompt\": \"{{ $json.prompt }}\",\n  \"image_urls\": [\n\"https://drive.google.com/uc?export=view&id={{ $('Google Drive Trigger').first().json.id }}\"\n  ],\n  \"num_images\": 1,\n  \"output_format\": \"jpeg\",\n  \"sync_mode\": false\n} ",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
// ... truncated (copy to see full JSON)

How to Import This Workflow

  1. 1Copy the workflow JSON above using the Copy Workflow JSON button.
  2. 2Open your n8n instance and go to Workflows.
  3. 3Click Import from JSON and paste the copied workflow.

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