ACE-Step v1 Runs on 8GB VRAM with CPU Offload
ACE-Step v1 demonstrates efficient AI model execution on consumer hardware by running on systems with only 8GB VRAM through CPU offloading techniques that
Someone found that ACE-Step v1 runs surprisingly well on modest hardware - just 8GB VRAM with CPU offload for generating full songs with vocals and lyrics.
Quick setup from their HuggingFace:
git clone https://github.com/ace-step/ACE-Step pip install -r requirements.txt python generate.py --prompt "your song description"The model hits around 20 seconds for 4 minutes of music on an RTX 4090. Works with 19 languages out of the box.
Try it without installing: https://huggingface.co/spaces/ACE-Step/ACE-Step
What makes this interesting is the upcoming v1.5 supposedly jumps to near-Suno v5 quality while keeping the same hardware requirements. That means commercial-grade music generation running locally instead of burning API credits.
The GitHub repo includes LoRA fine-tuning scripts for custom voices, which opens up some creative possibilities for personalized music generation without cloud dependencies.
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