Block 1 - Generate an image1
- Type / Role
- @n8n/n8n-nodes-langchain.googleGemini - googleGemini
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Who’s it for This workflow is for: People who want to quickly launch simple landing pages without paying monthly fees to landing page creators. It’s ideal for rapid prototyping, generation of large...
@n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.openai, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.chat, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.stickynote, n8n-nodes-base.datatable
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lachlan.
Original n8n.io sourceThis workflow is for:
This workflow combines OpenAI, Google Gemini,Cloudinary, Vercel, and n8n Tables to create, store, and publish your webpage seamlessly from a single prompt.
Create an n8n Table with the following columns:
sessionID (text)html (long text)Add your credentials:
Update the placeholders as noted inside the workflow:
sessionID, html)Run the workflow. After configuration, it will generate, upload, deploy, and return the live landing page URL automatically.
Inline notes are included throughout the workflow indicating where you must update values such as credentials, table names, or API keys to make the flow work end to end.
sessionID and html columnsAfter setup, this workflow automatically converts any idea into a fully designed and live landing page within seconds. It generates the hero image, builds the HTML layout, deploys it to Vercel, and provides the final shareable URL instantly.
An additional utility subflow is included to help keep your Vercel project clean by deleting older deployments.
It preserves the two most recent deployments and deletes the rest.
Use with caution — only run it if you want to remove previous test pages and free up space in your Vercel account.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate & deploy landing pages with GPT, Gemini and Vercel |
|---|---|
| Complexity | advanced |
| Nodes | 29 |
| Categories | Content Creation, Multimodal AI |
| Author | Lachlan |
| Published | 02 Nov 2025 |
Use the JSON export at /data/workflows/10447/10447.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Who’s it for This workflow is for: People who want to quickly launch simple landing pages without paying monthly fees to landing page creators. It’s ideal for rapid prototyping, generation of large...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.