by amudhan
Companion workflow for blog post
by Open Paws
📌 Who’s it for This subworkflow is designed for developers, AI engineers, or automation builders who generate dynamic HTML content in their workflows (e.g. reports, dashboards, emails) and want a simple way to host and share it via a clean URL, without spinning up infrastructure or uploading to a CMS. It’s especially useful when combined with AI agents that generate HTML content as part of a larger automated pipeline. ⚙️ What it does This subworkflow: Accepts raw HTML content as input. Creates a new GitHub Gist with that content. Returns the shareable Gist URL, which can then be sent via Slack, Telegram, email, etc. The result is a lightweight, fast, and free way to publish AI-generated HTML (such as reports, articles, or formatted data outputs) to the web. 🛠️ How to set it up Add this subworkflow to any parent workflow where HTML is generated. Pass in a string of valid HTML via the html input parameter. Configure the GitHub credentials in the HTTP node using an access token with gist scope. ✅ Requirements GitHub account and personal access token with gist permissions 🔧 How to customize Change the filename (report.html) if your use case needs a different format or extension. Add metadata to the Gist (e.g., description, tags).
by Automate With Marc
Generate Videos from Chat with Google Vertex AI (Veo3) - Beginner Friendly Description Turn any text prompt into a short AI-generated video directly from an n8n chat. This workflow connects a chat trigger to Google Vertex AI’s Veo3 model, sending your prompt as input and polling until the rendered video is ready. Once complete, the video is converted into a downloadable file you can use anywhere. Perfect for experimenting with AI-driven media or automating creative video generation inside your workflows. Watch step-by-step guide for these type of workflows here: www.youtube.com/@automatewithmarc How It Works Chat Trigger – Start by typing your prompt into an n8n chat. Post to Vertex AI (Veo3) – Sends the prompt to the Veo3 API with parameters like aspect ratio, duration, and resolution. Wait + Poll Loop – Repeatedly checks the operation status until the video is finished. If + Edit Fields – Extracts the base64 video response and metadata. Convert to File – Turns the video into a binary file for download or use in further automations. Why You’ll Love It ⚡ Generate custom AI videos in minutes. 🗣️ Natural workflow — just type your idea in chat. 🎥 Flexible parameters — adjust resolution, aspect ratio, and duration. 🔗 Ready for integration — feed the output into Google Drive, Slack, or any connected app. Requirements Google Cloud project with Vertex AI API enabled. Google OAuth credentials in n8n. n8n (Cloud or self-hosted).
by System Admin
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by Victor
🎬 Rask AI Video Translation Workflow This workflow is designed to translate a video accessible by URL (supported sources: YouTube, Google Drive, S3, Vimeo, or a direct link) into a language supported by Rask AI. It automatically uploads your video, waits for it to finish processing, creates a translation project, and retrieves the final translated output. You can use it to quickly build automations for localization, multilingual content creation, training materials, and more. 🔐 Authentication To run this workflow, make sure you have OAuth2 authentication configured in n8n under the name raskOAuth2. Your OAuth2 credentials must include Client ID and Client Secret You can find both in your Rask account settings: 👉 https://app.rask.ai/account For details on Rask authentication, refer to the official documentation: 👉 https://docs.api.rask.ai/api-reference/authentication Ensure that the raskOAuth2 authentication is selected in the following nodes: Upload media, Get media, Create project, Get project These nodes interact with the Rask API and require valid credentials. 🧪 Test Input You can test the workflow using the following sample values (simply insert these values into your trigger or input node to run a full translation cycle end-to-end.): link**: https://static.rask.ai/samples/sample_1.mp4 dst_lang** (target translation language): en-us Happy Translating! 🌍✨
by System Admin
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by Harshil Agrawal
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by Harshil Agrawal
No description available
by amudhan
Companion workflow for Freshdesk node documentation
by Harshil Agrawal
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by System Admin
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by System Admin
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