Manage Google Cloud Storage with AI image generation using GPT-4 Mini
Ready for 3.0What this workflow does
This AI workflow has 10 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model, OpenAI and Google Cloud Storage.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Edit Fields (Edit Fields (Set)): sets 2 fields: project_id, location
- Get a list of Buckets for a given project (Google Cloud Storage): uses Google Cloud Storage
- Create a new Bucket (Google Cloud Storage): create
- Prompt Generation Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Generate an image (OpenAI): work with image
- Create an object (Google Cloud Storage): create (object)
- Delete an object from a bucket (Google Cloud Storage): delete (object)
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - OpenAI
@n8n/n8n-nodes-langchain.openAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - Google Cloud Storage
n8n-nodes-base.googleCloudStorage - No Operation, do nothing
n8n-nodes-base.noOp
From the author
Beginner’s Tutorial: Manage Google Cloud Storage Buckets and Objects with n8n Watch the demo video below: Who’s it for - Beginners who want to learn how to automate Google Cloud Storage (GCS) operations with n8n. - Developers who want to combine AI image…