Suno Killer (From image to Song)

🎵 Image-to-Song AI Workflow — From Visual to Fully Sung Music

Turn any image into a fully sung original song — automatically.

This workflow transforms a single image into lyrics, musical style, and a complete vocal track, using state-of-the-art multimodal AI. No music theory, no songwriting skills, no manual prompting required.

✨ How it works

1. Image Understanding (QWEN-VL) The first QWEN-VL model analyzes the input image in depth: mood and atmosphere characters, emotions, environment implicit story and visual themes
2. Lyrics & Style Generation (QWEN-VL) A second QWEN-VL model converts that visual interpretation into a structured music JSON: complete song lyrics (intro, verse, chorus, bridge, outro) musical tags (genre, instruments, mood, tempo, energy) optimized for a target duration (e.g. 60 seconds, 90 seconds, etc.)
3. Sung Music Generation (HeartMuLa) The HeartMuLa node consumes the generated lyrics and tags to produce: a fully sung vocal track coherent melody, rhythm, and structure automatic duration management with smart extension clean musical ending with fade-out

🚀 What makes this workflow special

• Image → Song, end-to-end One image becomes a complete musical piece — vocals included.
• Duration-aware generation The workflow intelligently adapts the song length to match your target time, avoiding abrupt cutoffs.
• Creative control when you want it You can override musical tags manually or let the AI handle everything.
• Perfect for creators Ideal for: video soundtracks storytelling and cinematic content concept art music social media, reels, and shorts experimental and generative art
• MimicPC-optimized Designed to run smoothly in Mimic environments with no manual setup.

🎶 The result

A unique, AI-generated song, inspired directly by your image — with lyrics, emotion, and vocals that feel intentional and alive.

Upload an image.

Set a duration.

Get a song.

This workflow turns visuals into music — automatically.