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Explore ACE Step 1.5 for song drafting, prompt testing, and side-by-side AI music workflows in MeloLab.
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Choose ACE Step 1.5 from the model selector. This open-source model uses a hybrid LM + DiT architecture for tag-based music generation under the MIT license.
Select genre, mood, instruments, and vocal style using intuitive tags. Combine multiple tags for precise creative control — from "dreamy lofi + vinyl crackle" to "epic orchestral + choir".
Enter custom lyrics in any of 50+ supported languages, or let the AI generate them automatically. ACE Step handles linguistic nuances across cultures for authentic-sounding results.
Set the track length from 10-second clips up to 10-minute compositions. Fine-tune tempo, vocal character, and other parameters to match your project needs.
Click generate and get a complete, studio-quality track in under 30 seconds. ACE Step's optimized inference produces professional results on consumer hardware with less than 4GB VRAM.
Listen to your generated track, download the audio file, and use it royalty-free on paid plans. Iterate quickly by adjusting tags and regenerating, or fine-tune the model with LoRA from just 8 songs.
ACE Step is an open-source AI music generation model co-developed by ACE Studio and StepFun. Released under the MIT license, it is the first open-source model to approach commercial platform quality, capable of generating complete songs with vocals from text prompts in under 2 seconds on professional hardware.
The latest version, V1.5, uses a hybrid Language Model + Diffusion Transformer architecture. The LM acts as a planner that transforms queries into song blueprints, while the DiT generates the actual audio. It supports durations from 10 seconds to 10 minutes, 50+ languages, and 1000+ instruments and styles.
ACE Step can run on consumer hardware with less than 4GB VRAM, supports LoRA fine-tuning from just 8 songs, and integrates with ComfyUI, VST3 plugins, and REST APIs. On MeloLab, you can access ACE Step alongside other leading models without any local setup.
Generate music with lyrics and vocals in over 50 languages including English, Chinese, Japanese, Korean, Spanish, French, and many more. ACE Step understands linguistic nuances across cultures for authentic-sounding results.
Use intuitive style tags to precisely control genre, mood, instruments, tempo, and vocal character. Combine multiple tags to create unique combinations — from "dreamy lofi + vinyl crackle" to "epic orchestral + choir".
Produce full-length, studio-quality tracks in under 30 seconds. ACE Step leverages optimized inference to deliver professional results at speed, making it ideal for rapid iteration and creative exploration.
Create music across dozens of genres including pop, rock, hip-hop, jazz, classical, electronic, lofi, R&B, country, and ambient. Each genre is rendered with authentic instrumentation, production techniques, and stylistic conventions.
Generate expressive, human-like vocal performances that convey emotion and match the style of your song. ACE Step produces natural-sounding singing with proper phrasing, dynamics, and articulation.
Set the exact length of your generated track from short clips to full-length songs. Fine-tune the duration to match your project needs — whether it is a 15-second social media snippet or a 4-minute radio-ready track.
Use Suno's Suno V5.5 model for long-form tracks, editing, and export-ready experiments.
Use MiniMax's MiniMax Music 2.6 model for style control, editing, and export-ready experiments.
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Test HeartMuLa in MeloLab for instrumental beds, prompt experiments, and creator workflows.
Transform your words into complete, studio-quality songs. Describe the music you want and let AI bring it to life.
