Create emotional stories with Gemini AI: Generate images and Veo3 JSON prompts
Ready for 3.0What this workflow does
This AI workflow has 29 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Drive, Google Sheets, Google Gemini and Google Gemini Chat Model.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Folder Name (Basic LLM Chain): sends a prompt to an LLM, with model: chat model; output parser: Json parser
- Create folder (Google Drive): work with folder
- Create sheet (Google Sheets): create
- Edit Fields (Edit Fields (Set)): sets 6 fields: Scene, Character Prompt, Action Prompt…
- Append row in sheet (Google Sheets): append
- Story Creator (Basic LLM Chain): sends a prompt to an LLM, with model: chat model; output parser: Json parser
- Code: runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Append row in sheet (Google Sheets): append
- Rows in sheet (Google Sheets): uses Google Sheets
…plus 11 more steps. See the full node list below.
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 (14)
- Manual Trigger
n8n-nodes-base.manualTrigger - If
n8n-nodes-base.if - Google Drive
n8n-nodes-base.googleDrive - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Sheets
n8n-nodes-base.googleSheets - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - Limit
n8n-nodes-base.limit - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Code
n8n-nodes-base.code - Edit Fields (Set)
n8n-nodes-base.set - No Operation, do nothing
n8n-nodes-base.noOp - Wait
n8n-nodes-base.wait - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
From the author
This n8n template demonstrates how to create an automated emotional story generation system that produces structured video prompts and generates corresponding images using AI. The workflow creates a complete story with 5 scenes featuring a Pakistani character…