Generate UGC images from form submissions with Google Gemini and Telegram
This workflow automates the process of generating personalized UGC (User-Generated Content) images based on form submissions.
It accepts a form with a character type (e.g., male/female) and an uploaded image, merges them, sends them to an AI model (Google Gemini via OpenRouter) for creative generation, and posts the resulting content as a Telegram photo message.
Who’s it for
This automation template is designed for marketers, AI creators, content teams, or interactive community platforms that want to let users submit content (image + character type), enrich it with AI-generated descriptions, and instantly publish results to Telegram — without writing a single line of code.
How it works
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Trigger: Workflow starts when a form is submitted by a user.
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Extract file: The uploaded image file is converted to a Base64 string.
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Merge data: The character type and image data are combined into one payload.
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Format to Data URL: The image is wrapped as a proper data:image/... format for API use.
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Prepare payload: The text and image are mapped into a structure compatible with Gemini API.
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Generate AI content: Sends the input to Google Gemini (via OpenRouter) to generate a UGC description.
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Transform response: Cleans and extracts the result from Gemini’s response.
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Convert back to file: Transforms the Base64 image back into a real image file.
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Send to Telegram: The image and its AI-generated description are sent as a photo message to your Telegram channel.
How to use
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Set up a form with a dropdown for character type (e.g., Male/Female) and an image upload field.
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Configure the Gemini API access through OpenRouter.
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Connect your Telegram bot and channel to receive the final result.
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Start the workflow → users submit the form, and their data is processed and shared as AI-enhanced UGC.
Requirements
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OpenRouter API key to access Google Gemini.
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A Telegram Bot connected to your Telegram channel.
❓ Need help
Contact me for consulting and support: LinkedIn / YouTube / Skool
n8n Form Trigger to Telegram with Image Generation
This n8n workflow automates the process of generating images based on form submissions and sending them to a Telegram chat. It leverages a custom HTTP request to an external image generation service (likely Google Gemini, given the directory name context) and then broadcasts the generated image to a specified Telegram chat.
What it does
This workflow streamlines the creation and sharing of user-generated content (UGC) images by:
- Listening for Form Submissions: It triggers whenever a new submission is made to an n8n form.
- Preparing Data: It extracts relevant data from the form submission to be used in the image generation prompt.
- Generating Image Prompt: It constructs a prompt for an AI image generation model (e.g., Google Gemini) based on the form data.
- Calling Image Generation API: It makes an HTTP request to an external API to generate an image using the constructed prompt.
- Handling Image Data: It receives the generated image data (likely base64 encoded) and converts it into a binary file format.
- Sending to Telegram: It sends the generated image as a photo to a designated Telegram chat.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Telegram Bot Token: A Telegram Bot Token and the Chat ID where the images should be sent.
- Image Generation API Endpoint: An API endpoint for an image generation service (e.g., Google Gemini, DALL-E, Stable Diffusion) that accepts a text prompt and returns an image. This API will need its own authentication (e.g., API key).
- n8n Form: An n8n form configured to collect the necessary input for image generation.
Setup/Usage
- Import the Workflow:
- In your n8n instance, go to "Workflows".
- Click "New" -> "Import from JSON" and paste the provided JSON.
- Configure Credentials:
- Telegram Node (ID: 49):
- Click on the "Telegram" node.
- Select or create a new Telegram API credential. You'll need your Telegram Bot Token.
- Enter the
Chat IDwhere you want the images to be sent.
- HTTP Request Node (ID: 19):
- Click on the "HTTP Request" node.
- Configure the
URLto your image generation API endpoint. - Set the
HTTP Method(likely POST). - Add any necessary
Headers(e.g.,Authorizationwith your API key,Content-Type: application/json). - Configure the
Bodyto send the prompt. This will likely involve an expression like{{ $json.prompt }}to use the prompt generated in the previous "Code" node.
- Telegram Node (ID: 49):
- Configure n8n Form Trigger (ID: 1225):
- Click on the "On form submission" node.
- Customize the form fields to collect the data you need for your image prompts (e.g.,
description,style,subject). - Activate the form.
- Configure Code Node (ID: 834):
- Click on the "Code" node.
- Review and modify the JavaScript code to construct the image generation prompt based on the fields from your n8n form.
- Example:
const formDescription = $input.item.json.form.data.description; return { json: { prompt:Generate an image of ${formDescription} in a vibrant style.} };
- Configure Edit Fields (Set) Node (ID: 38):
- This node is currently configured to pass through data. If you need to rename or transform any fields before sending to Telegram, configure it here.
- Configure Convert to File (ID: 1234) and Extract from File (ID: 1235) Nodes:
- These nodes are crucial for handling binary image data. Ensure the
Convert to Filenode correctly converts the API response (e.g., base64 string) into a binary file. - The
Extract from Filenode might not be strictly necessary if theConvert to Filenode directly outputs a binary item suitable for Telegram, but it's there for potential intermediate processing if the API response requires further decoding.
- These nodes are crucial for handling binary image data. Ensure the
- Activate the Workflow: Once all configurations are complete, activate the workflow.
Now, every time your n8n form is submitted, an image will be generated and sent to your specified Telegram chat!
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