Workflow Templates

Prunaai Flux.1 Dev Image Generator Description This is the fastest Flux Dev endpoint in the world, contact us for more at pruna.ai Overview This n8n workflow integrates with the Replicate API to use the prunaai/flux.1-dev model. This powerful AI model can generate high-quality image content based on your inputs. Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting Parameters Required Parameters prompt** (string): Prompt Optional Parameters seed** (integer, default: -1): Seed guidance** (number, default: 3.5): Guidance scale image_size** (integer, default: 1024): Base image size (longest side) speed_mode** (string, default: Juiced 🔥 (default)): Speed optimization level aspect_ratio** (string, default: 1:1): Aspect ratio of the output image output_format** (string, default: jpg): Output format output_quality** (integer, default: 80): Output quality (for jpg and webp) num_inference_steps** (integer, default: 28): Number of inference steps How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate image content Access the generated output from the final node API Reference Model: prunaai/flux.1-dev API Endpoint: https://api.replicate.com/v1/predictions Requirements Replicate API key n8n instance Basic understanding of image generation parameters

What is this? This is an n8n workflow designed to supercharge your Sonarr setup. Instead of just waiting for releases to appear in your RSS feed, this workflow proactively runs on a schedule, finds what's missing, actively searches for it, and grabs the best result based on your specific criteria. It's a "set it and forget it" solution to ensure your library is always complete. Key Features 🚀 Proactive Searching: Doesn't wait for content to come to you. It actively triggers a search for missing episodes. 🗓️ Fully Automated & Scheduled: Runs every 12 hours by default to check for anything new that's missing. 🧠 Smart & Efficient: Searches only once per season, even if multiple episodes from that season are missing, preventing unnecessary API calls. 🎯 Precise Release Filtering: It validates search results against the exact quality name and language you define before telling Sonarr to grab it. This gives you more control than standard quality profiles. ✅ Automatic Download: Once a valid release is found, it's automatically pushed to your download client via Sonarr. How It Works Trigger: The workflow starts automatically on a schedule. Fetch Missing: It connects to your Sonarr instance and gets a list of all monitored, "wanted" episodes. Filter & Group: It intelligently creates a unique list of seasons that need searching. Search: It loops through each unique season and tells Sonarr to perform an interactive search. Validate: It inspects the search results and only allows releases that match both the pre-defined quality AND language. Grab: If a perfect match is found, it sends a final command to Sonarr to grab that specific release and begin the download. How to Use This Template Import the JSON file into your n8n instance. Find the node named "info" (it's a "Set" node near the beginning). This is your main configuration area. Update the following values in the "info" node: urlSonar: Change http://192.168.31.204:8989 to your Sonarr's URL. apikey: Paste your Sonarr API key here. quality: Set the exact quality name you want to match (e.g., WEBDL-1080p). languages: Set the exact language name you want to match (e.g., English, Spanish). Activate the workflow. That's it! You can also change the schedule by editing the "Schedule Trigger" node.

This is a workflow that might come handy after using loops. They usually leave you with items spread across different "runs". The Code node in this example workflow merges them into a single run, so you have a single list of items which is often easier to work with. Simply adjust the node name inside the Code node as needed. The idea is based on this older workflow template.

This workflow will allow you at the beginning of each day to copy your google calendar events into Trello so you can take notes, label, or automate your tasks. When deploying this, don't forget to change: Label ID for meeting type under "Create Trello Cards". You should be able to find instructions Here on how to find the label ID. Description for Trello cards under "Create Trello Cards". I currently pull in notes but it should be simple to change to pull the Gcal description instead. You can change the trigger time to fire at a different time.

This workflow is triggered when a typeform is submitted, then it saves the sender's information into HubSpot as a new contact. Typeform Trigger: triggers the workflow when a typeform is submitted. Set: sets the fields for the values from Typeform. HubSpot 1: creates a new contact with information from Typeform. IF: filters contacts who expressed their interest in business services. HubSpot 2: updates the contact's stage to opportunity. Gmail: sends an email to the opportunity contacts with informational material. NoOp: takes no action for contacts who are not interested.

Extract data from a webpage (Ycombinator news page) and create a nice list using itemList node. It seems that current version in n8n (0.141.1) requires to extract each variable one by one. Hopefully in a futute it will be possible to create the table using just one itemList node. Another nice feature of the workflow is an automatically generated file name with the resulting table. Check out the "fileName" option of the Spreadsheet File node: "Ycombinator_news_{{new Date().toISOString().split('T', 1)[0]}}.{{$parameter[\"fileFormat\"]}}" The resulting table is saved as .xls file and delivered via email

This n8n workflow template uses community nodes and is only compatible with the self-hosted version of n8n. Auto Backup n8n Credentials to Google Drive This workflow automates the backup of all your n8n credentials. It can be triggered manually for on-demand backups or will run automatically on a schedule (default to daily execution). It executes a command to export decrypted credentials, formats them into a JSON file, and then uploads this file to a specified Google Drive folder. This process is essential for creating secure backups of your sensitive credential data, facilitating instance recovery or migration. We recommend you use this backup workflow in conjunction with a restore solution like our "Restore Credentials from Google Drive Backups" template. For more powerful n8n templates, visit our website or contact us at AI Automation Pro. We help your business build custom AI workflow automation and apps. Who is this for? This workflow is designed for n8n administrators and users who require a reliable method to back up their n8n credentials. It is particularly beneficial for those managing self-hosted n8n instances, where direct server access allows for command-line operations. What problem is this workflow solving? / use case Managing and backing up n8n credentials manually can be a tedious task, susceptible to errors and often overlooked. This workflow solves the problem by providing an automated, secure, and consistent way to back up all credential data. The primary use case is to ensure that a recovery point for credentials exists, safeguarding against data loss, assisting in instance migrations, or for general disaster recovery preparedness, ideally on a regular, automated basis. What this workflow does The workflow proceeds through the following steps: Triggers: The workflow includes two types of triggers: Manual Trigger: An "On Click Trigger" allows for on-demand execution whenever needed. Scheduled Trigger: A "Schedule Trigger" is included, designed for automated daily backups. Export Credentials: An "Execute Command" node runs the shell command npx n8n export:credentials --all --decrypted. This command exports all credentials from the n8n instance in a decrypted JSON format. Format JSON Data: The output from the command is processed by a "Code" node ("JSON Formatting Data"). This node extracts, parses, and formats the JSON to ensure it is well-structured. Aggregate Credentials: An "Aggregate" node ("Aggregate Cridentials") combines individual credential entries into a single JSON array. Convert to File: The "Convert To File" node transforms the aggregated JSON array into a binary file, preparing it as n8n_backup_credentials.json. Upload to Google Drive: The "Google Drive Upload File" node uploads the generated JSON file to a specified folder in Google Drive. Step-by-step setup To use this workflow, you'll need to configure a few things: n8n Instance Environment: The n8n instance must have access to the npx command and the n8n-cli package. The "Execute Command" node must be able to run shell commands on the server where n8n is hosted. Google Drive Credentials: In the "Google Drive Upload File" node, select or create your Google Drive OAuth2 API credentials. Google Drive Folder ID: Update the folderId parameter in the "Google Drive Upload File" node with the ID of your desired Google Drive folder. File Name (Optional): The backup file will be named n8n_backup_credentials.json. You can customize this in the "Google Drive Upload File" node. Configure Schedule Trigger: The workflow includes a "Schedule Trigger". Review its configuration to ensure it runs daily at your preferred time. How to customize this workflow to your needs Adjust Schedule:** Fine-tune the "Schedule Trigger" for different intervals (e.g., weekly, hourly) or specific days/times as per your requirements. Notifications:** Add notification nodes (e.g., Slack, Email, Discord) after the "Google Drive Upload File" node to receive alerts upon successful backup or in case of failures. Enhanced Error Handling:** Incorporate error handling branches using "Error Trigger" nodes or conditional logic to manage potential failures. Client-Side Encryption (Advanced):* If your security policy requires the backup file itself to be encrypted at rest in Google Drive, you can add a step *before uploading. Insert a "Code" node or use an "Execute Command" node with an encryption utility (like GPG) to encrypt the n8n_backup_credentials.json file. Remember that you would then need a corresponding decryption process. Dynamic File Naming:** Modify the "Google Drive Upload File" node to include a timestamp in the filename (e.g., n8n_backup_credentials_{{$now.toFormat('yyyyMMddHHmmss')}}.json) to keep multiple versions of backups. Important Note on Credential Security To simplify the setup and use of this backup workflow, the exported credentials are stored in the resulting JSON file in a decrypted state. This means the backup file itself is not further encrypted by this workflow. Consequently, it is critically important to: Ensure the Google Drive account used for backups is highly secure (e.g., strong password, two-factor authentication). Restrict access to the Google Drive folder where these backups are stored to only authorized personnel.

I'm currently trialing a 4 day work week for all staff at my company, and one of the major impacts on productivity is interruptions. As such, I opted to use N8N to create a workflow to monitor my Google Calendar and when an event starts, to update my Slack status with an emote and the title of the calendar task. Additionally I opted to include to change the colour of Philips Hue lamp located in my living room where my wife is currently working so she know's if she can interrupt me or not. My calendar is built on the theory behind the Diary Detox system and as such the Slack Status reflect the colours involved. This was achieved using the emote aliases for the relevant colour circles. The Philips Hue lamp status is changed via the local API with Home Assistant. This is a very similiar process to controlling it with something like the Streamdeck, but the workflow calls the Webhook instead of the Streamdeck. This process can be found in lots of Youtube videos such as this. This gives my wife a very quick and easy way to know if she can interrupt me in my office (when the lights are Green or Blue) or when I'm busy (Red). Please Note: The above images are not intended to be an incentive to create your own Squid Games. Additionally, when integrating Slack with N8N, there are 2 x APIs which can be used. Typically the Bot User OAuth Token is used, however in order for your Status to be updated, the User OAuth Token must be used with the users.profile:read and users.profile:write permissions enabled. For clarity, I have removed the Webhooks from the Workflow as this would allow any person to control my lights. These can be inserted in the HTTP Request nodes. Each node responds to a different automation within the Home Assistant infrastructure. Acknowledgement: I would also credit Jon (Discord) aka 8668 (Workflows) for writing the Function node which turns the ColorID into a named variable.

This sample workflow allows you to forward alerts from TheHive 5 to SIGNL4 in order to send reliable alerts to your team. There are two nodes for testing the TheHive connection ("TheHive Read Alerts" and "TheHive Create Alert"). The node "TheHive Webhook Request" will receive requests for new alerts from TheHive. You need to configure the webhook and the notifications in TheHive accordingly. The node "SIGNL4 Send Alert" sends the alert to SIGNL4 and the node "SIGNL4 Resolve Alert" will close the alert in SIGNL4 in case it has been closed in TheHive.

This workflow generates CSV files containing a list of 10 random users with specific characteristics using OpenAI's GPT-4 model. It then splits this data into batches, converts it to CSV format, and saves it to disk for further use. The execution of the workflow begins from here when triggered manually. "OpenAI" Node. This uses the OpenAI API to generate random user data. The input to the OpenAI API is a fixed string, which asks for a list of 10 random users with some specific attributes. The attributes include a name and surname starting with the same letter, a subscription status, and a subscription date (if they are subscribed). There is also a short example of the JSON object structure. This technique is called one-shot prompting. "Split In Batches" Node. This node is used to handle the OpenAI responses one by one. "Parse JSON" Node. This node converts the content of the message received from the OpenAI node (which is in string format) into a JSON object. "Make JSON Table" Node. This node is used to convert the JSON data into a tabular format, which is easier to handle for further data processing. "Convert to CSV" Node. This node converts the table format data received from the "Make JSON Table" node into CSV format and assigns a file name. "Save to Disk" Node. This node is used to save the CSV generated in the previous node to disk in the ".n8n" directory. The workflow is designed in a circular manner. So, after saving the file to disk, it goes back to the "Split In Batches" node to process the OpenAI output, until all batches are processed.

This is an example workflow that imports an XML file into an SQL database. The ReadBinaryFiles node loads the XML file from the server. Then the Code node extracts the file content from the binary buffer. Afterwards, an XML node converts the XML string into a JSON structure. Finally, in the MySQL node inserts the data records into the SQL table. In the upper part of the workflow there is another MySQL node that is disabled. This node creates a new table with all the required variables based on the sample SQL database: https://www.mysqltutorial.org/mysql-sample-database.aspx

Bytedance Seedance 1 Pro Video Generator Description A pro version of Seedance that offers text-to-video and image-to-video support for 5s or 10s videos, at 480p and 1080p resolution Overview This n8n workflow integrates with the Replicate API to use the bytedance/seedance-1-pro model. This powerful AI model can generate high-quality video content based on your inputs. Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting Parameters Required Parameters prompt** (string): Text prompt for video generation Optional Parameters fps** (string, default: 24): Frame rate (frames per second) seed** (integer, default: None): Random seed. Set for reproducible generation image** (string, default: None): Input image for image-to-video generation duration** (string, default: 5): Video duration in seconds resolution** (string, default: 1080p): Video resolution aspect_ratio** (string, default: 16:9): Video aspect ratio. Ignored if an image is used. camera_fixed** (boolean, default: False): Whether to fix camera position How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate video content Access the generated output from the final node API Reference Model: bytedance/seedance-1-pro API Endpoint: https://api.replicate.com/v1/predictions Requirements Replicate API key n8n instance Basic understanding of video generation parameters