Description
Overview
The Content to 9:16 Aspect Image Generator v1 workflow automates the creation of vertical-format images and short-form video scripts using a no-code integration pipeline. Designed for mid-sized to enterprise businesses and digital content creators, this automation workflow leverages brand guidelines and SEO keywords stored in Airtable to produce consistent, brand-aligned visual assets in a 9:16 aspect ratio format. It initiates through a manual trigger node in n8n, ensuring controlled execution.
Key Benefits
- Automates vertical image generation based on branded content and SEO keywords.
- Integrates AI-driven script and image prompt creation for short-form video production.
- Utilizes advanced prompt enhancement for improved image quality in the orchestration pipeline.
- Stores generated assets systematically in Airtable for centralized content management.
Product Overview
This automation workflow is triggered manually within n8n and begins by retrieving comprehensive brand guidelines from an Airtable base named “Content Manager.” The brand data includes tone, voice, imagery style, and audience details which inform downstream content generation. Following this, SEO keywords containing the phrase “ai automation” are filtered and de-duplicated from another Airtable table. Each relevant keyword’s associated content is then fetched to serve as input for AI-driven script and image prompt generation.
The workflow employs OpenAI’s GPT model to generate a four-scene video script under 30 seconds, with corresponding image prompts designed for a 9:16 aspect ratio. These prompts undergo refinement using Leonardo.ai’s prompt improvement API to enhance descriptive quality before image generation. Leonardo.ai produces high-resolution images for both the video thumbnail and individual scenes, applying a dynamic style with guidance parameters optimized for visual coherence.
After waiting periods to accommodate asynchronous image generation, the workflow retrieves image URLs and uploads the assets back to Airtable for cataloging. This no-code integration pipeline supports repeatable and scalable content creation while maintaining brand consistency and SEO relevance. Error handling defaults to platform standards, and all API authentication is managed securely via credentials without data persistence beyond processing.
Features and Outcomes
Core Automation
The orchestration pipeline accepts manually triggered execution and processes brand guidelines alongside filtered SEO keywords. It deterministically generates short-form video scripts and image prompts using GPT, then refines these prompts before image creation using Leonardo.ai.
- Single-pass evaluation of content to script and prompt conversion.
- Deterministic filtering of keywords containing “ai automation.”
- Sequential generation and storage of images with 9:16 aspect ratio.
Integrations and Intake
This automation workflow connects Airtable for data retrieval and asset storage, OpenAI for natural language processing, and Leonardo.ai for image prompt improvement and generation. Authentication is handled via API tokens and custom HTTP credentials.
- Airtable manages brand guidelines, SEO keywords, and asset records.
- OpenAI GPT generates video scripts and initial image prompts.
- Leonardo.ai APIs refine prompts and create high-resolution vertical images.
Outputs and Consumption
The workflow outputs include structured video scripts with scene breakdowns and corresponding 9:16 aspect ratio images. Assets are stored asynchronously in Airtable for subsequent use in content production and digital campaigns.
- Video scripts formatted with four scenes and associated image prompts.
- Generated image URLs for thumbnail and each scene, retrieved post-processing.
- Asset metadata recorded in Airtable including name, type, and URL.
Workflow — End-to-End Execution
Step 1: Trigger
Execution begins manually via the n8n manual trigger node “When clicking ‘Test workflow’,” allowing explicit control over workflow runs.
Step 2: Processing
The workflow retrieves brand guidelines from Airtable and retrieves SEO keywords filtered to those containing “ai automation.” Duplicate keywords are removed to ensure unique content processing. The relevant blog content linked to each keyword is then fetched. Basic presence checks ensure required fields are populated before proceeding.
Step 3: Analysis
OpenAI GPT generates a concise, four-scene short-form video script with embedded image prompts. These prompts are split out and individually enhanced using Leonardo.ai’s prompt improvement API to optimize detail and visual coherence. The workflow applies deterministic filtering and transformation without probabilistic branching beyond AI model outputs.
Step 4: Delivery
Leonardo.ai generates high-resolution vertical images for both the video thumbnail and each scripted scene. After a 30-second wait to accommodate asynchronous processing, the workflow retrieves generated image URLs and uploads these assets back to Airtable as image records. Outputs are stored for downstream use without synchronous response delivery.
Use Cases
Scenario 1
Content teams needing brand-aligned video assets face manual, time-consuming design work. This automation workflow converts blog content and brand data into ready-to-use 9:16 video scripts and images, enabling rapid content production with consistent branding adherence.
Scenario 2
Marketing operations require scalable generation of short-form video visuals for social media. By integrating AI prompt refinement and image generation, the workflow produces high-quality vertical imagery and scripts, reducing reliance on manual graphic design resources.
Scenario 3
SEO strategists need to leverage targeted keywords for content amplification. This orchestration pipeline filters keywords, fetches related content, and automatically generates visual assets aligned with SEO intent, producing structured creative assets in a single automated cycle.
How to use
After importing this workflow into n8n, configure Airtable API credentials and Leonardo.ai HTTP authentication using secure credential nodes. Ensure the Airtable base and tables for brand guidelines, SEO keywords, and assets are accessible. Trigger the workflow manually via the provided manual trigger node to initiate asset generation. Expect outputs stored in Airtable assets with URLs accessible for content deployment. Adjust keyword filters or content limits within the nodes to tailor batch sizes and focus areas.
Comparison — Manual Process vs. Automation Workflow
| Attribute | Manual/Alternative | This Workflow |
|---|---|---|
| Steps required | Multiple manual steps including content review, script writing, prompt creation, and image design. | Single automated pipeline integrating content retrieval, AI script generation, and image creation. |
| Consistency | Variable output depending on human input and adherence to brand guidelines. | Deterministic brand guideline application with AI-driven script and image prompt standardization. |
| Scalability | Limited by manual capacity and time constraints. | Scales automatically with batch processing and AI model capacity within platform limits. |
| Maintenance | High, requiring ongoing manual updates and quality control. | Moderate, focused on credential updates and workflow adjustments in n8n. |
Technical Specifications
| Environment | n8n workflow automation platform |
|---|---|
| Tools / APIs | Airtable, OpenAI GPT, Leonardo.ai |
| Execution Model | Manual trigger with asynchronous API calls and batch processing |
| Input Formats | Airtable records including brand guidelines, SEO keywords, and blog content |
| Output Formats | Structured video scripts and 9:16 aspect ratio images with URLs stored in Airtable |
| Data Handling | Transient processing with no persistence beyond Airtable asset storage |
| Known Constraints | Relies on external API availability and response times for AI services |
| Credentials | API tokens for Airtable, OpenAI, and custom HTTP authentication for Leonardo.ai |
Implementation Requirements
- Valid Airtable API key with access to required bases and tables.
- OpenAI API key configured with GPT model access.
- Leonardo.ai HTTP authentication credentials for prompt improvement and image generation.
Configuration & Validation
- Confirm Airtable credential connectivity and ensure brand guidelines, SEO keywords, and content tables are accessible.
- Verify OpenAI and Leonardo.ai API credentials are correctly configured within n8n nodes.
- Run the manual trigger and monitor execution logs for successful retrieval, script generation, prompt enhancement, and image creation.
Data Provenance
- Triggered by “When clicking ‘Test workflow’” manual node in n8n.
- Brand guidelines and SEO keywords sourced from Airtable “Content Manager” base.
- Video scripts generated via OpenAI GPT; image prompts refined and images generated through Leonardo.ai APIs.
FAQ
How is the Content to 9:16 Aspect Image Generator automation workflow triggered?
It is initiated manually via the n8n manual trigger node, allowing controlled execution on demand.
Which tools or models does the orchestration pipeline use?
The workflow integrates OpenAI GPT for script generation and Leonardo.ai’s Phoenix 1.0 model for prompt improvement and image generation.
What does the response look like for client consumption?
Outputs include structured video scripts with scene image prompts and generated 9:16 aspect ratio images, stored as URLs in Airtable assets.
Is any data persisted by the workflow?
Data is transiently processed; persistent storage occurs only in Airtable asset records containing image URLs and metadata.
How are errors handled in this integration flow?
The workflow relies on n8n platform default error handling; individual AI nodes continue on error where configured, preventing total failure.
Conclusion
The Content to 9:16 Aspect Image Generator v1 workflow provides a deterministic automation pipeline that transforms branded content and SEO keywords into vertical-format video scripts and images. By integrating OpenAI and Leonardo.ai within n8n, it ensures consistent application of brand guidelines and scalable asset generation. This workflow depends on the availability and responsiveness of external APIs, and requires proper credential configuration. It offers a reliable solution for enterprises seeking to streamline digital content creation with no-code automation and AI-enhanced media production.
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