Recreate Instagram reels with Gemini 2.0 analysis & minimax video generation
This n8n template demonstrates how to automatically download an Instagram Reel, analyze its content using AI video understanding, and regenerate a similar video using AI video generation models. The workflow creates AI-powered variations of existing video content while maintaining visual consistency and style from the original source material.
Use cases are many: Content creators can produce multiple variations of trending reels, social media managers can recreate viral content with brand-specific modifications, or marketers can generate similar videos without copyright concerns while maintaining the original's visual appeal and storytelling structure.
Good to know
Video generation typically takes 2-5 minutes per video. The workflow includes automatic polling to check completion status.
Minimax Video-01 generates videos up to 6 seconds long at 720p resolution and 25fps with cinematic camera movements.
Gemini 2.0 Flash processes video at 1 frame per second (approximately 300 tokens per second of video), making it ideal for detailed video analysis.
The workflow includes retry logic for failed API requests to ensure reliability.
Ensure you have sufficient API credits in your Replicate account before running high-volume workflows.
How it works
The workflow begins when a user submits an Instagram Reel URL through the chat trigger interface.
The RapidAPI Instagram Reels Downloader fetches the video metadata and download URL from Instagram.
Downloaded video data is formatted and validated to ensure successful retrieval before proceeding.
The video file is uploaded to Google's Gemini 2.0 Flash model via their File API for processing.
Gemini 2.0 Flash analyzes the video frame-by-frame, generating a comprehensive description covering visuals, audio, movements, lighting, camera angles, and transitions.
The AI-generated description is formatted as a continuous text prompt (lowercase, no punctuation) optimized for video generation models.
This detailed prompt is sent to Replicate's Minimax Video-01 model to generate a new video based on the analysis.
The workflow polls the Replicate API every 2 minutes to check generation status, automatically looping until completion.
Once generation succeeds, the final AI-generated video is downloaded and ready for use or further processing.
How to use
The chat trigger node accepts Instagram Reel URLs as input, but you can replace this with webhooks, forms, or scheduled triggers depending on your automation needs.
Replace all placeholder API keys in the workflow before activation (RapidAPI, Google AI Studio, and Replicate).
Test with short Instagram Reels first (under 30 seconds) to optimize processing time and token usage.
The workflow automatically handles null checks and retries if the initial download fails, ensuring robust execution.
Requirements RapidAPI account for Instagram Reels Downloader API (handles video extraction from Instagram)
Google AI Studio API key with Gemini 2.0 Flash access enabled (for advanced video analysis)
Replicate API account with sufficient credits for Minimax Video-01 model access (for AI video generation)
Active n8n instance (self-hosted or cloud) to run the workflow automation
Customising this workflow
This AI video recreation workflow can be adapted for numerous creative and business applications. Try extending it to generate multiple style variations from one input video, add branding overlays or watermarks before final output, or integrate with cloud storage (Google Drive, Dropbox) for automated archiving. You can also chain this workflow with content scheduling tools to automatically post generated videos to social media platforms, or combine it with analytics nodes to track which AI-generated variations perform best with your audience.
n8n Chat-Triggered Workflow Example
This n8n workflow demonstrates a basic structure for processing chat messages, applying conditional logic, and performing an HTTP request, potentially with a delay. It serves as a foundational example for building more complex chat-driven automations.
What it does
This workflow is designed to react to incoming chat messages and perform actions based on their content.
- Listens for Chat Messages: The workflow is triggered whenever a chat message is received.
- Edits Fields: It then processes the incoming message, likely extracting or setting specific fields for further use.
- Conditional Logic: The workflow evaluates the processed message using an "If" condition. This allows for branching logic based on the message's content or other derived data.
- Waits (Conditional): If the "If" condition evaluates to
true, the workflow introduces a delay using a "Wait" node. This can be useful for pacing responses or allowing time for external processes. - Makes an HTTP Request (Conditional): Following the optional wait, an HTTP request is made. This could be used to interact with external APIs, send data, or trigger other services.
Prerequisites/Requirements
- n8n Instance: A running n8n instance to host and execute the workflow.
- Chat Service Integration: The
Chat Triggernode requires configuration with a chat service (e.g., Telegram, Slack, Mattermost) to receive messages. - API Endpoints: If the
HTTP Requestnode is intended to interact with an external API, you will need the relevant API endpoint and any required authentication.
Setup/Usage
- Import the Workflow:
- Copy the provided JSON code.
- In your n8n instance, click on "Workflows" in the left sidebar.
- Click "New" -> "Import from JSON" and paste the JSON code.
- Configure the Chat Trigger Node (When chat message received):
- Click on the "When chat message received" node.
- Select or create the appropriate credential for your chat service (e.g., Telegram Bot API, Slack API).
- Configure any specific settings required by your chat service.
- Configure the Edit Fields Node:
- Click on the "Edit Fields" node.
- Define any fields you want to add, remove, or modify based on the incoming chat message data.
- Configure the If Node:
- Click on the "If" node.
- Set up your desired conditions based on the data from the "Edit Fields" node. This will determine which branch of the workflow is executed.
- Configure the Wait Node (Optional):
- Click on the "Wait" node.
- Adjust the "Wait For" duration as needed if you want to introduce a delay in the
truebranch of the "If" condition.
- Configure the HTTP Request Node (Optional):
- Click on the "HTTP Request" node.
- Set the "URL", "Method", "Headers", and "Body" according to the external API you wish to interact with.
- Add any necessary authentication credentials.
- Activate the Workflow:
- Once all nodes are configured, click the "Activate" toggle in the top right corner of the workflow editor to enable it.
Now, when a message is received by your configured chat service, the workflow will trigger, process the message, apply the conditional logic, and potentially wait and make an HTTP request based on your configurations.
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