Overview This workflow automatically creates hours-long wave music videos by combining AI-generated music from Suno with a background video, fully automated using n8n and ffmpeg-api. It connects music prompt generation, AI song creation, audio aggregation, video merging, and YouTube publishing into a single end-to-end automation. Once configured, the workflow runs continuously with no manual editing required. This workflow is built for creators producing lo-fi, wave, ambient

Overview This workflow automatically creates hours-long wave music videos by combining AI-generated music from Suno with a background video, fully automated using n8n and ffmpeg-api. It connects music prompt generation, AI song creation, audio aggregation, video merging, and YouTube publishing into a single end-to-end automation. Once configured, the workflow runs continuously with no manual editing required. This workflow is built for creators producing lo-fi, wave, ambient, or long-play music content who want a reliable and scalable way to generate long-form videos automatically. --- What can this workflow do? - Collect music themes, background video URLs, and track counts via an input form - Generate multiple AI music tracks using Suno - Automatically check rendering status and retrieve completed songs - Concatenate multiple tracks into a single long-form audio file - Merge the final audio with a background video using ffmpeg-api - Upload the completed video to YouTube automatically - Generate SEO-optimized titles and descriptions using an AI model This workflow reduces manual work while keeping the entire music video production process structured and repeatable. --- How it works You start by submitting a music theme, a background video URL, and the number of music tracks through an n8n form. The workflow initializes a working directory using ffmpeg-api to manage all audio and video assets. An AI agent converts the music theme into structured Suno prompts. Suno then generates multiple music tracks, and the workflow continuously checks their rendering status until all songs are ready. Once completed, the songs are downloaded, uploaded to ffmpeg-api storage, and concatenated into a single long-form audio track. This audio is merged with the background video to create the final hours-long wave music video. Finally, the completed video is uploaded to YouTube. An AI model generates SEO-friendly metadata, and the video is published automatically without manual intervention. --- Setup steps 1. Connect an AI model (Gemini) for music prompt generation and YouTube metadata creation 2. Configure Suno API access for AI music generation 3. Set up ffmpeg-api for directory creation, file uploads, audio concatenation, and video merging 4. Connect your YouTube account for automated uploads 5. Review and customize the input form fields if needed After setup, the workflow runs end to end automatically. --- Documentation For a full walkthrough and advanced customization ideas, watch the detailed tutorial on YouTube.
Download the workflow JSON file after purchase.
Open n8n → click the menu → Import from File.
Select the downloaded JSON and import.
Set up credentials for each node that requires them.
Click Execute Workflow to test, then activate.
Setup guide included
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