Generate illustrated stories with GPT-4, DALL-E 3 and Firebase
Generate complete illustrated stories using AI. This workflow creates engaging narratives with custom DALL-E 3 images for each scene and saves everything to Firebase.
How it works
- User fills out a form with story topic, language, art style, and number of scenes
- GPT-4 generates a complete story with scenes, characters, and image prompts
- DALL-E 3 creates unique illustrations for each scene
- Images are uploaded to Firebase Storage for permanent hosting
- Complete story data is saved to Firestore
- Returns JSON with the full story and image URLs
Set up steps (10-15 minutes)
- Add your OpenAI API credentials
- Add Google Service Account credentials for Firebase
- Update 3 variables in the Code nodes:
OPENAI_API_KEY,FIREBASE_BUCKET,FIREBASE_PROJECT_ID - Activate and test with the form
Features
- 12 languages supported
- 10 art styles to choose from
- 1-12 scenes per story
- Automatic image hosting on Firebase
- Full story saved to Firestore database
# n8n Form Trigger with HTTP Request and Code
This n8n workflow demonstrates a basic setup for triggering an action via an n8n form, performing an HTTP request, and then responding to the initial webhook. It includes a `Code` node for custom logic and a `Sticky Note` for documentation within the workflow.
## What it does
This workflow automates the following steps:
1. **Listens for Form Submissions**: It starts when a user submits data through an n8n-generated form.
2. **Executes Custom Code**: A `Code` node is included, allowing for custom JavaScript logic to be run on the incoming form data. This is a placeholder for any data manipulation, validation, or transformation needed.
3. **Makes an HTTP Request**: It then performs an HTTP request. This node is generic and can be configured to interact with any external API or service (e.g., sending data to a database, triggering another service).
4. **Responds to the Webhook**: Finally, it sends a response back to the original form submission, indicating the completion or status of the workflow execution.
5. **Internal Documentation**: A `Sticky Note` provides a place for in-workflow comments or instructions.
## Prerequisites/Requirements
* **n8n Instance**: An active n8n instance where you can import and run workflows.
* **Basic JavaScript Knowledge (Optional)**: For customizing the `Code` node.
* **API Endpoint (Optional)**: If you intend to use the `HTTP Request` node to interact with an external service, you will need the URL and any necessary authentication details for that service.
## Setup/Usage
1. **Import the Workflow**:
* Copy the provided JSON code.
* In your n8n instance, go to "Workflows" and click "New".
* Click on the "Import from JSON" button (usually found in the top right or within the workflow canvas context menu).
* Paste the JSON and click "Import".
2. **Configure the Form Trigger**:
* Open the "On form submission" node.
* Define the fields you expect in your form (e.g., text inputs, numbers).
* Activate the workflow to generate a public URL for your form.
3. **Customize the Code Node (Optional)**:
* Open the "Code" node.
* Modify the JavaScript code within the node to perform any specific data processing or logic you require based on the form submission.
4. **Configure the HTTP Request Node (Optional)**:
* Open the "HTTP Request" node.
* Set the `URL`, `Method` (e.g., POST, GET), `Headers`, and `Body` according to the API you wish to call. You can use expressions to dynamically insert data from previous nodes (e.g., `{{ $json.formField }}`).
5. **Configure the Respond to Webhook Node (Optional)**:
* Open the "Respond to Webhook" node.
* Customize the `Response Mode` and `Response Data` to send a meaningful message back to the user who submitted the form.
6. **Activate the Workflow**:
* Click the "Activate" toggle in the top right corner of the n8n editor to make the workflow live.
7. **Use the Form**:
* Access the generated form URL (from the "On form submission" node) in your browser.
* Fill out and submit the form to trigger the workflow.
This workflow provides a flexible foundation for building form-driven automations that interact with external services and execute custom logic.
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