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music-video

Orchestrate a music-video pipeline from YAML through Suno MCP and ComfyUI IA2V renders.

3|Updated Apr 18, 2026
Search Tags:#automation#yaml#comfyui#music-video#flux2#ia2v#suno-mcp
One-click install
npx skills add https://github.com/venetanji/creative-skills --skill music-video-venetanji
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: music-video
Source: https://github.com/venetanji/creative-skills/tree/main/music-video
Command: npx skills add https://github.com/venetanji/creative-skills --skill music-video-venetanji

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, imageio-ffmpeg, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the end-to-end creation of music videos from a YAML specification, coordinating song generation, per-scene AI video rendering, and final assembly so you can produce polished video outputs with minimal manual steps.

Core Features & Use Cases

  • End-to-end orchestration: from a YAML spec, it runs Suno MCP song generation, Per-Scene ia2v video rendering with audio conditioning, and the final ffmpeg-based assembly into final.mp4.
  • Gate-based safety: includes two human-review gates to validate the song and anchors before expensive rendering steps.
  • Scene authoring helpers: supports anchor pre-generation, per-scene prompts, camera LoRAs, scene transitions, and optional multiguide anchors for long shots.
  • Use cases: create lyric videos, music visualizations, and short-form clips that align to a soundtrack.

Quick Start

Create a YAML spec and run the orchestrator to generate the full music video end-to-end.

Frequently Asked Questions about music-video

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate music video generation from a YAML spec?▼

You can automate music video generation by defining scene prompts and configurations in a YAML file, which the orchestrator reads to coordinate Suno MCP song generation, ComfyUI IA2V scene rendering, and ffmpeg assembly into a final video.

Can I use ComfyUI and Suno MCP together for end-to-end music video creation?▼

Yes, this pipeline coordinates Suno MCP for song generation and ComfyUI for IA2V scene rendering, using audio conditioning and gated checkpoints to ensure quality before assembling the final video output.

How do I review and validate song and scene anchors before rendering?▼

The pipeline includes two human-review gates that let you validate the generated song and scene anchors before proceeding to expensive IA2V rendering steps, ensuring continuity and quality across all scenes.

Does this music video pipeline support scene transitions and camera LoRAs?▼

Yes, the YAML spec supports per-scene prompts, camera LoRAs, scene transitions, anchor pre-generation, and optional multiguide anchors for long shots to provide detailed control over the final video output.

Do I need ffmpeg installed to assemble the final music video?▼

Yes, the pipeline uses imageio-ffmpeg for the final assembly step, combining the generated song and rendered IA2V scenes into final.mp4 as the concluding output of the orchestration process.

What are the limitations of automating music video creation with AI?▼

The pipeline requires manual review at two gated checkpoints to validate song and anchors before rendering, meaning fully unattended automation is intentionally limited to ensure scene continuity and output quality.

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