You're paying Suno ten bucks a month when there's an open-source model that runs on your own GPU and sounds just as good? ACE-Step 1.5 generates commercial-quality full songs in under two seconds on an A100, under ten seconds on a 3090. Runs on 4GB VRAM minimum. Ten-minute songs, batch generation, 50 languages, covers, stem separation, metadata control for BPM and key. #github #opensource
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TikTokgithub.awesome
We're releasing ACE-Step-v1.5(2B), a fast, high-quality open-source music model.It runs locally on a consumer-grade GPU, generates a full song in under 2 seconds(on an A100), supports LoRA fine-tuning, and beats SUNO on common eval metrics.GitHub: https://t.co/Zydfhw9oUlKey traits: Quality: beats Suno on common eval scoresSpeed: full song under 2s on A100Local: ~4GB VRAM, under 10s on RTX 3090LoRA: train your own style with a few songs License: MIT, free for commercial use Data: fully authorized
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x.comACE Music
ACE-Step-1.5-xl is out now.We scaled the DiT decoder to 4B. And it shows better audio quality, better prompt following, and better musicality. It still fast -- 8 steps with turbo distillation.What didn't change:- Same generation API, same LoRA training code, same everything - All LM models (0.6B / 1.7B / 4B) fully compatible with all 3 variants - Your existing projects work with XL — no changes neededTry it for free at https://t.co/tPBsxSpUXUWeithgts and code:GitHub: https://t.co/Zydfhw9oUlHuggi
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