Code Workflows
147 Ergebnisse — ausschließlich quellenverknüpfte n8n-Referenzen
Generate AI videos using Havis AI Grok Imagine
Havis AI - Grok Imagine n8n Workflow Summary This n8n workflow submits a video generation job to Havis AI Grok Imagine, waits for processing, polls task status, and returns result data when the job completes. Who is this for? Creators who want a reusable no-code generation form. Agencies building client-facing AI automation. Developers who want an importable API test workflow. n8n users connecting Havis AI output to storage, Slack, Sheets, Airtable, webhooks, or a CMS. What this workflow does Opens an n8n Form Trigger for Grok Imagine inputs. Builds a clean JSON payload and removes empty optional fields. Sends a POST request to https://havis.ai/api/grok-imagine. Waits 8 seconds, then polls https://havis.ai/api/task/{task_id}. Loops while the task is processing. Returns task ID, status, result URLs, credits used, and submitted payload. Returns a clean error object if the task fails. Setup Import the JSON workflow into n8n. Open the Form Trigger URL. Enter your Havis API key in api_key. Use only the key value; the workflow adds Bearer automatically. Fill in the model inputs and submit. For production, store the API key in n8n credentials or environment variables instead of typing it
Generate and edit images with Havis AI Nano Banana 2
Havis AI - Nano Banana 2 n8n Workflow Summary This n8n workflow submits an image generation job to Havis AI Nano Banana 2, waits for processing, polls task status, and returns result data when the job completes. Who is this for? Creators who want a reusable no-code generation form. Agencies building client-facing AI automation. Developers who want an importable API test workflow. n8n users connecting Havis AI output to storage, Slack, Sheets, Airtable, webhooks, or a CMS. What this workflow does Opens an n8n Form Trigger for Nano Banana 2 inputs. Builds a clean JSON payload and removes empty optional fields. Sends a POST request to https://havis.ai/api/nano-banana-2. Waits 8 seconds, then polls https://havis.ai/api/task/{task_id}. Loops while the task is processing. Returns task ID, status, result URLs, credits used, and submitted payload. Returns a clean error object if the task fails. Setup Import the JSON workflow into n8n. Open the Form Trigger URL. Enter your Havis API key in api_key. Use only the key value; the workflow adds Bearer automatically. Fill in the model inputs and submit. For production, store the API key in n8n credentials or environment variables instead of typin
Get Xiaohongshu note details from a keyword with JustOneAPI
Use this n8n workflow template to get Xiaohongshu note details from a keyword with JustOneAPI. Who’s it for This template is for content researchers, creator operations teams, marketing teams, and automation builders who want to turn a Xiaohongshu keyword into a structured list of note details inside n8n. How it works The workflow starts with a single configuration node where you add your JustOneAPI token and the keyword you want to research. It then searches Xiaohongshu notes with the V2 search endpoint, extracts note IDs from the returned results, removes duplicates, and keeps only the first unique note ID by default. After that, it requests note details and outputs a structured note detail record that can be reused in downstream workflows. You can increase maxNotes if you want to retrieve details for more than one unique note ID. How to set up Import the workflow into n8n. Open the Set API Token and Research Inputs node. Add your JustOneAPI token. Replace the placeholder values for keyword and other optional search inputs. Leave maxNotes set to 1 if you want to fetch only the first unique result by default. Run the workflow and review the final output node. Requirements A JustOn
Validate JSON and CSV import data via webhook with configurable rules
How it works Send a POST request with a JSON array of records and your validation rules. The workflow checks every field in every row and returns a structured report showing valid/invalid rows with specific error messages. Supported rules: required, type (string, number, email, date, url, boolean), min/max, minLength/maxLength, regex, enum, and dateFormat (YYYY-MM-DD, DD.MM.YYYY, MM/DD/YYYY). The response includes a summary (total, valid, and invalid row counts) plus a detailed error list with row number, field name, failed rule, and error message. Set up steps Import the workflow and activate it Send a POST request to the webhook URL with "data" (array of objects) and "rules" (validation config) Optionally edit the Set Default Rules node to define fallback rules — these are used when no rules are sent in the request No external services or API keys required. Works on self-hosted and cloud n8n instances. Who is this for Operations teams, data engineers, and anyone importing data into ERP systems, CRMs, or databases who needs to catch errors before bad data enters the system. How to customize Edit the Set Default Rules node for your standard field definitions. Rules sent in the requ
Notify customers on WhatsApp when Stripe payment succeeds with MoltFlow
How it works Stripe fires a checkout.session.completed webhook when a payment succeeds Customer name, phone, email, and payment amount are extracted If the customer has a phone number, a WhatsApp receipt is sent via MoltFlow Payments without phone numbers are logged and skipped Set up steps (~5 min) Create a MoltFlow account at molt.waiflow.app and connect your WhatsApp Generate an API key in MoltFlow (Sessions page > API Keys tab) Activate this workflow and copy the webhook URL In Stripe Dashboard > Developers > Webhooks, add the n8n URL for checkout.session.completed Set YOUR_SESSION_ID in the Format Receipt code node Add your MoltFlow API Key as Header Auth credential (header name: X-API-Key) Prerequisites MoltFlow account with active WhatsApp session Stripe account with webhook access Customer phone numbers collected during checkout (Stripe customer_details.phone)
UGC Video Generation with Wan 2.5 on Replicate
This workflow automatically converts static images into dynamic videos using AI-powered animation. It saves you hours of video editing by transforming product photos, marketing images, or any static visuals into engaging video content perfect for social media and advertising campaigns. Overview This workflow automates the entire image-to-video generation process using the WAN-VIDEO 2.5 model via Replicate API. Simply provide an image URL and a text prompt describing the desired motion, and the workflow handles the video creation, status monitoring, and delivery of your animated content - typically ready in 30-120 seconds. Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Powers the WAN-VIDEO 2.5 AI model for image-to-video generation Status Monitoring**: Automated checking system with intelligent retry logic Error Handling**: Built-in resilience with comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Get Replicate API Key: Sign up at replicate.com and copy your API token Configure API Token: Replace the placeholder in the "Set API Token" node Add Your Image: Update t
Transform Your Selfies into 3D Figurines with Nano Banana AI
Transform Your Selfies into 3D Figurines with Nano Banana AI Overview This workflow utilizes the Defapi API with Google's Nano Banana AI model to transform your selfies into stunning 3D figurines, action figures, and collectible merchandise designs. Simply upload a selfie photo, provide a creative prompt describing your desired 3D figurine or action figure design, and watch as AI generates professional-quality product visualizations. Input: Your selfie photo + creative prompt + API key Output: AI-generated 3D figurine and action figure designs perfect for collectibles, merchandise, and product visualization Users can interact through a simple form, providing a text prompt describing the desired creative scene, a product image URL, and their API key. The system automatically submits the request to the Defapi API, monitors the generation status in real time, and retrieves the final creative image output. This solution is ideal for marketers, product designers, e-commerce businesses, and content creators who want to quickly generate compelling product advertisements and creative visuals with minimal setup. Perfect for creating 3D figurines and collectible merchandise designs. Prerequi
Automate Marker.io Issues to Intercom Conversations with Full Technical Context
Automatically create Intercom conversations with full technical context when your team receive new Marker.io issues 🎯 What this template does This workflow creates a seamless bridge between Marker.io and Intercom, your customer support platform. Every issue submitted through Marker.io's widget automatically becomes a trackable conversation in Intercom, complete with technical details and visual context. Centralizing customers issues in Intercom helps your support agents continue the conversation right where they work every day. When a bug is reported, the workflow: Creates or updates the reporter as an Intercom contact Opens a new conversation with the reporter and the all issue details Adds a comprehensive internal note with technical metadata Preserves all screenshots, browser info, and custom data ✨ Benefits Zero manual entry** - All bug details transfer automatically Instant visibility** - Support agents sees issues immediately Rich context** - Technical details preserved for developers Better collaboration** - Single source of truth for bugs Faster resolution** - No time wasted gathering information 💡 Use Cases Product Teams**: Streamline bug triage without switching tools S
Generate Images with Realistic Inpainting using Simbrams Ri AI
Generate Images with Realistic Inpainting using Simbrams Ri AI This n8n workflow integrates with Replicate’s simbrams/ri model to generate images. It takes an input image and mask, applies transformations based on your parameters, and returns the final generated output automatically. 📌 Section 1: Trigger & Authentication ⚡ On Clicking ‘Execute’ (Manual Trigger) Purpose**: Starts the workflow manually. Benefit**: Useful for testing and running on demand. 🔑 Set API Key (Set Node) Purpose: Stores your **Replicate API key inside the workflow. Benefit**: Keeps credentials secure and ensures other nodes can reuse them. 📌 Section 2: Sending the Image Generation Request 🖼️ Create Prediction (HTTP Request Node) Purpose**: Sends a POST request to Replicate’s API to start generating an image. Input Parameters**: image: Input image URL mask: Mask image URL seed: Randomness control (for reproducibility) steps: Number of refinement steps strength: Intensity of modification (0–1) blur\_mask: Whether to blur the mask edges merge\_m\_s: Whether to merge mask with source Benefit**: Gives full control over how the model modifies your image. 🆔 Extract Prediction ID (Code Node) Purpose: Extracts t
Generate 3D Models & Textures from Images with Hunyuan3D AI
Generate 3D Models & Textures from Images with Hunyuan3D AI This workflow connects n8n → Replicate API to generate 3D-like outputs using the ndreca/hunyuan3d-2.1-test model. It handles everything: sending the request, waiting for processing, checking status, and returning results. ⚡ Section 1: Trigger & Setup ⚙️ Nodes 1️⃣ On Clicking “Execute” What it does:** Starts the workflow manually in n8n. Why it’s useful:** Great for testing or one-off runs before automation. 2️⃣ Set API Key What it does:* Stores your *Replicate API Key**. Why it’s useful:** Keeps authentication secure and reusable across HTTP nodes. 💡 Beginner Benefit No coding needed — just paste your API key once. Easy to test: press Execute, and you’re live. 🤖 Section 2: Send Job to Replicate ⚙️ Nodes 3️⃣ Create Prediction (HTTP Request) What it does:* Sends a *POST request** to Replicate’s API with: Model version (70d0d816...ae75f) Input image URL Parameters like steps, seed, generate_texture, remove_background Why it’s useful:** This kicks off the AI generation job on Replicate’s servers. 4️⃣ Extract Prediction ID (Code) What it does:* Grabs the *prediction ID** from the API response and builds a status-check URL. Wh
Generate Text-to-Video & Image-to-Video Content with Seedance 1 Lite AI
Generate Text-to-Video & Image-to-Video Content with Seedance 1 Lite AI Built with n8n + Replicate This workflow takes a prompt (and optional seed), sends it to Bytedance’s seedance-1-lite model, waits for processing, and returns a generated video. ⚡ Section 1: Start & Authenticate ▶️ On clicking ‘execute’** → Manual trigger to start the workflow. 🔑 Set API Key** → Stores your Replicate API key so all requests are authorized. Benefit: Keeps your API credentials secure and reusable. 🛠️ Section 2: Send Video Generation Request 📡 Create Prediction** → Makes a POST request to Replicate with: prompt: your text description of the video seed: (optional) controls randomness for reproducibility Model version: b6519549e375404f45af5ef2e4b01f651d4014f3b57d3270b430e0523bad9835 Benefit: Kickstarts AI video generation from just a simple text prompt. 🔍 Section 3: Track the Prediction 📦 Extract Prediction ID** → Stores predictionId, status, and predictionUrl for polling. ⏳ Wait** → Pauses 2 seconds between checks. 🔁 Check Prediction Status** → Calls Replicate to see if the video is ready. ✅ Check If Complete** → Branches: If status = succeeded → continue. Else → loop back to Wait until it’s f
Generate Images from Text with IBM Granite Vision 3.3 2B AI Model
Generate Images from Text with IBM Granite Vision 3.3 2B AI Model 🌍 Overview This workflow uses the ibm-granite/granite-vision-3.3-2b model (hosted on Replicate) to generate AI images. It starts manually, sends a request to the Replicate API, waits for the result, and finally outputs the generated image link. Think of it as your AI art assistant — you click once, and it handles the full request/response cycle for image generation. 🟢 Section 1: Trigger & API Setup 🔗 Nodes: Manual Trigger* → Starts when you click *Execute. Set API Key** → Stores your Replicate API Key safely in the workflow. 💡 Beginner takeaway: This section is like turning the key in the ignition. You start the workflow, and it loads your credentials so you can talk to Replicate’s API. 📈 Advantage: Keeps your API key stored inside the workflow instead of hard-coding it everywhere. 🟦 Section 2: Create Prediction 🔗 Nodes: HTTP Request (Create Prediction)** → Sends a request to Replicate with the chosen model (granite-vision-3.3-2b) and input parameters (seed, temperature, max\_tokens, etc.). 💡 Beginner takeaway: This is where the workflow actually asks the AI model to generate an image. 📈 Advantage: You can t
Enhance Your Workflow with 2Ndmoises_Generator AI
Enhance Your Workflow with 2Ndmoises_Generator AI This n8n workflow integrates with Replicate’s moicarmonas/2ndmoises_generator model to generate custom outputs based on your prompt. It handles authentication, triggers the prediction, monitors progress, and processes the final result automatically. 📌 Section 1: Trigger & Authentication ⚡ On Clicking ‘Execute’ (Manual Trigger) Purpose: Start the workflow manually whenever you want to run it. Benefit: Great for testing or running on-demand without needing automation. 🔑 Set API Key (Set Node) Purpose: Stores your Replicate API key in the workflow. How it works: Adds your API key as a variable that other nodes can reference. Benefit: Keeps credentials secure and reusable. 📌 Section 2: Sending the AI Request 📤 Create Prediction (HTTP Request Node) Purpose: Sends a request to the Replicate API to start generating output with the model. Input Parameters: prompt (text you provide) seed (for reproducibility) width / height / lora\_scale (generation settings) Benefit: Allows full customization of the AI’s generation process. 🆔 Extract Prediction ID (Code Node) Purpose: Pulls out the Prediction ID and status from the API response. Why im
Generate High-Quality Audio with Voxtral Small 24B 2507
Generate High-Quality Audio with Voxtral Small 24B 2507 This workflow integrates the notdaniel/voxtral-small-24b-2507 model from Replicate to generate audio content from provided inputs. It handles API authentication, creates predictions, polls until completion, and outputs the final generated audio file. ⚡ Section 1: Trigger & Authentication 🔘 On clicking 'execute'** → Manually starts the workflow. 🔑 Set API Key** → Stores your Replicate API key to authenticate requests. Benefit: Securely connects your workflow to Replicate’s API and ensures only authorized requests are made. 🎛️ Section 2: Create Prediction 🌐 Create Prediction** → Sends a request to Replicate’s API with parameters like: audio: Input audio file (e.g., a reference sample). max\_new\_tokens: Maximum number of tokens to generate (controls audio length/complexity). Benefit: Starts the audio generation process with configurable input and settings. ⏳ Section 3: Polling & Status Tracking 🆔 Extract Prediction ID** → Captures the unique prediction ID and endpoint for polling. ⏱️ Wait** → Pauses for 2 seconds before re-checking. 📡 Check Prediction Status** → Polls Replicate’s API to see if the audio generation is done.
Generate Animated Human Videos from Images & Audio with Bytedance Omni Human
Generate Animated Human Videos from Images & Audio with Bytedance Omni Human Built with n8n + Replicate This workflow takes an image + audio, sends them to Bytedance’s omni-human model, waits for processing, and returns a generated video. ⚡ Section 1: Start & Authenticate ▶️ On clicking ‘execute’** → Manual trigger to start the workflow. 🔑 Set API Key** → Stores your Replicate API key so future requests are authorized. Benefit: Secures your API credentials in one place for easy re-use. 🛠️ Section 2: Send Video Generation Request 📡 Create Prediction** → Makes a POST request to Replicate with: image: input image URL audio: input audio URL Model version: 7ec44f5140c7338b3496cbf99ee8ea391a4bc18ff5d1677a146dfc936a91f65b Benefit: Combines visual and audio inputs to start AI-powered video generation. 🔍 Section 3: Track the Prediction 📦 Extract Prediction ID** → Saves predictionId, status, and predictionUrl for polling. ⏳ Wait** → Pauses 2 seconds between status checks (to avoid spamming the API). 🔁 Check Prediction Status** → Queries Replicate using the stored prediction URL. ✅ Check If Complete** → Branches: If status = succeeded → move forward. Else → loop back to Wait until compl
Creating Images from Text Prompts with Flux Kontext Max on Replicate
This workflow provides automated access to the Black Forest Labs Flux Kontext Max AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Black Forest Labs Flux Kontext Max model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: A premium text-based image editing model that delivers maximum performance and improved typography generation for transforming images through natural language prompts Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Black Forest Labs/flux-kontext-max AI model Black Forest Labs Flux Kontext Max**: The core AI model for image generation Built-in Error Handling**: Automat
Create Portrait Series from Single Images using Flux Kontext Portrait Series and Replicate
This workflow provides automated access to the Flux Kontext Apps Portrait Series AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Flux Kontext Apps Portrait Series model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Create a series of portrait photos from a single image Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Flux Kontext Apps/portrait-series AI model Flux Kontext Apps Portrait Series**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and im
Run ComfyUI Image Generation Workflows through Replicate API
This workflow provides automated access to the Fofr Any Comfyui Workflow AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Fofr Any Comfyui Workflow model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Run any ComfyUI workflow. Guide: https://github.com/replicate/cog-comfyui Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Fofr/any-comfyui-workflow AI model Fofr Any Comfyui Workflow**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n
Create Images from Text Prompts using HeraNathalie Model and Replicate
This workflow provides automated access to the Digitalhera Heranathalie AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Digitalhera Heranathalie model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Digitalhera/heranathalie AI model Digitalhera Heranathalie**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Con
Generate AI-Powered Images using IBM Granite Vision 3.3 2B with Replicate
This workflow provides automated access to the Ibm Granite Granite Vision 3.3 2B AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Ibm Granite Granite Vision 3.3 2B model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Granite-vision-3.3-2b is a compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infograph... Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Ibm Granite/granite-vision-3.3-2b AI model Ibm Granite Granite Vision 3.3 2B**: The core AI model for image generation Buil
Create Images from Text Prompts using Lumi and Replicate
This workflow provides automated access to the Adamantiamable Lumi AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Adamantiamable Lumi model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Adamantiamable/lumi AI model Adamantiamable Lumi**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API
Edit Images with Text Prompts using Bytedance Seededit 3.0 via Replicate API
This workflow provides automated access to the Bytedance Seededit 3.0 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Bytedance Seededit 3.0 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Text-guided image editing model that preserves original details while making targeted modifications like lighting changes, object removal, and style conversion Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Artistic style control and customization** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Bytedance/seededit-3.0 AI model Bytedance Seededit 3.0**: The core AI model for image generation Built-in Error Handling**: Automatic retry log
Generate AI Images from Text with Fire Flux Model on Replicate API
This workflow provides automated access to the Fire Flux AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Fire Flux model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: The image generation model tailored for local development and personal use Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Fire/flux AI model Fire Flux**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate A
Generate Custom AI Avatars with Babysea Babyavatar via Replicate API
This workflow provides automated access to the Babysea Babyavatar AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Babysea Babyavatar model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: BabyAvatar - Create Stunning AI Avatars in Seconds Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Babysea/babyavatar AI model Babysea Babyavatar**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replica