Grok Imagine Video Chatbot 🤖📺: Generate & Modify Videos via Natural Language

The Video Grok Agent is an AI-powered video generation and editing workflow that uses Grok 4.1 Fast (via OpenRouter) and Grok Imagine Video to create and modify videos through natural language. This workflow enables seamless AI-driven video creation and editing through a conversational interface, with built-in validation, async processing, and secure credential management. --- Key Advantages 1. ✅ Unified Video Creation Pipeline A single workflow supports text-to-video, image-to-video, and video editing, reducing complexity and avoiding duplicated logic across multiple automations. 2. ✅ AI-Guided User Interaction The conversational agent ensures: the correct tool is selected, all mandatory parameters are provided, errors due to missing inputs are minimized. This makes the workflow usable even by non-technical users. 3. ✅ Asynchronous & Scalable Execution The workflow is designed around queued, non-blocking requests: wait nodes + status polling no execution timeouts scalable for multiple concurrent video jobs 4. ✅ Automatic Media Handling Uploaded images are: detected automatically, uploaded to external storage, converted into usable URLs without manual steps. This enables smooth image-to-video generation directly from chat uploads. 5. ✅ Clear Separation of Responsibilities Each step is modular: orchestration (agent), decision routing (switch), media processing (Fal.run APIs), status monitoring (HTTP + wait loops). This makes the workflow easy to maintain, extend, or debug. 6. ✅ Strong Guardrails & Validation The agent enforces: correct tool usage (e.g. video-to-video only for editing), duration limits (1–15 seconds), mandatory URLs before execution. This prevents incorrect API calls and wasted compute. 7. ✅ Extensible Architecture New tools (e.g. different models, resolutions, aspect ratios, or providers) can be added without redesigning the whole system—just plug them into the existing agent + switch logic. --- How it works 1. User Interaction - The workflow starts with a chat trigger (When chat message received), where users can upload images and submit text prompts. - If an image is uploaded, it is automatically stored via FTP (BunnyCDN) and its URL is passed to the AI agent. 2. AI Agent Orchestration - The Grok Imagine Video Agent processes the user’s request and determines which action to perform: - Text-to-Video: Create a new video from a text prompt. See test result - Image-to-Video: Animate an existing image. See test result - Video-to-Video: Edit an existing video. See test result - The agent follows strict rules to ensure all required parameters (e.g., duration, URLs, prompts) are collected before proceeding. 3. Video Processing via Fal.run API - Depending on the selected tool, the workflow calls the corresponding Fal.run endpoint: - text-to-video - image-to-video - edit-video - Each request returns a requestid used to poll for completion. 4. Asynchronous Processing & Polling - After submission, the workflow enters a polling loop: - Waits 10–30 seconds. - Checks the request status via Fal.run’s status endpoint. - Once the status is COMPLETED, it retrieves the final video URL. 5. Result Delivery - The final video URL is returned to the user via the chat interface. - The agent does not proceed further once the video is ready. --- Set Up Steps To deploy and use this workflow in n8n: 1. Credentials Configuration - Set up the following credentials in n8n: - OpenRouter API (for Grok 4.1 Fast) - Fal.run API (HTTP Header Auth) - FTP/BunnyCDN (for image uploads) 2. Workflow Activation - Ensure all nodes are correctly connected as per the connections mapping. - Activate the workflow via the Execute Workflow Trigger (Run Text-to-Video1). 3. Chat Interface Setup - The workflow is designed to be triggered via a chat message. - Configure the When chat message received node to connect to your frontend or chat platform. 4. Parameter Validation - The AI agent includes validation rules to ensure: - Duration is between 1–15 seconds. - Required URLs (image/video) are provided where needed. - The correct tool is invoked based on user intent. 5. Testing & Monitoring - Test each tool separately (text, image, video) to ensure Fal.run API responses are handled correctly. - Monitor the polling loops to avoid timeouts and ensure video URLs are retrieved successfully. --- 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. []( --- Need help customizing? Contact me for consulting and support or add me on Linkedin.