ACE-Step spaceinvaderone/ace-step:latest https://hub.docker.com/r/spaceinvaderone/ace-step/ bridge bash false https://github.com/ace-step/ACE-Step-1.5 ACE-Step 1.5 - AI Music Generation. Generate full songs with vocals, instrumentals, and lyrics using a Diffusion Transformer. Supports text-to-music, remixing, cover generation, and LoRA fine-tuning. Requires NVIDIA GPU with CUDA support. FIRST RUN: Models (~10GB) will be downloaded automatically on first start. This may take several minutes depending on your internet speed. Subsequent starts are instant. SETTINGS GUIDE: DiT Model - The core music generation model. - turbo (default): Fast generation in 8 steps. Best for most users. - turbo-rl: Turbo with reinforcement learning refinement. - sft: Higher quality, 50 steps (slower). - base: 50 steps with all features (extract, lego, complete). Language Model - Controls lyrics understanding and chain-of-thought reasoning. - 1.7B (default): Best balance of quality and VRAM. Recommended for 12-16GB GPUs. - 0.6B: For GPUs with less than 12GB VRAM. - 4B: Highest quality lyrics understanding. Requires 24GB+ VRAM. Enable LLM - Whether to load the language model. - auto (default): Detects based on your GPU VRAM. - false: DiT-only mode. Faster startup, uses less VRAM, but disables thinking/sample features. - true: Force enable. LM Backend - Engine for the language model. - pt (default): PyTorch native. Works on all GPUs including RTX 50-series. - vllm: Faster inference but may crash on RTX 50-series (Blackwell) GPUs. CPU Offloading - Moves models between GPU and CPU to save VRAM. - auto (default): Offloads if GPU has less than 20GB VRAM. - false: Keep all models on GPU. Faster generation but uses ~12GB VRAM at idle. - true: Always offload. Slower but frees VRAM for other containers. UI Language - Web interface language: English, Chinese, or Japanese. AI: MediaApp:Music http://[IP]:[PORT:7860]/ https://acestep.io/favicon-256.ico --gpus all --user root 1771764112 IMPORTANT: This image requires at least 20GB of free space in your Docker vDisk. Check Settings > Docker > Docker vDisk Size and increase if needed. Requires NVIDIA GPU with 8GB+ VRAM (12GB+ recommended for full features). Models (~10GB) are downloaded on first run to the mapped checkpoints volume. 7860 /mnt/user/appdata/ace-step/checkpoints /mnt/user/appdata/ace-step/output acestep-v15-turbo acestep-5Hz-lm-1.7B auto pt en auto 7860 0 auto