ACE-Step-1.5-for-windows
Copilot instructions101 starsChanged 8 months agoMITView on GitHub
ACE-Step 1.5 is an open-source music foundation model combining a Language Model (LM) as a planner with a Diffusion Transformer (DiT) for audio synthesis. It generates commercial-grade music on consumer hardware (< 4GB VRAM). CRITICAL: Supports CUDA, ROCm, Intel XPU, MPS, MLX, and CPU. When fixing bugs or adding features: - DO NOT alter non-target platform paths unless explicitly required - Changes to CUDA code should not affect MPS/XPU/CPU paths - Use gpu_config.py for hardware detection and configuration
2 other projects use a version of this.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- ace-step/ACE-Step-1.5word for word, first seen Oct 8, 2026
- PiMPStudios/ACE-Step-1.5word for word, first seen May 3, 2026
Other versions2 projects use a version of this.
Word for word · 2
- ace-step/ACE-Step-1.5★ 13k100% same
- PiMPStudios/ACE-Step-1.5★ 0100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- acestep-docsSkill
- acestep-lyrics-transcriptionSkill
- acestep-simplemvSkill
- acestepSkill
- acestep-songwritingSkill
- acestep-thumbnailSkill
The file
We split this copilot-instructions.md into the rules it gives an agent
4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 24
Use gpu_config.py for hardware detection and configuration
- Distinctive: line 45
All user-facing strings must use i18n translation keys
- Very specific: line 55
Logging: Use loguru logger (not print() except CLI output)
- Very specific: line 56
Dependencies: Use uv add <package> to add to pyproject.toml
≈ “Common” is an estimate: at least 1 in 5 of the 3,779 Copilot instructions files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ACE-Step 1.5 - GitHub Copilot Instructions
Project Overview
ACE-Step 1.5 is an open-source music foundation model combining a Language Model (LM) as a planner with a Diffusion Transformer (DiT) for audio synthesis. It generates commercial-grade music on consumer hardware (< 4GB VRAM).
Tech Stack
- Python 3.11-3.12 (ROCm on Windows requires 3.12; other platforms use 3.11)
- PyTorch 2.7+ with CUDA 12.8 (Windows/Linux), MPS (macOS ARM64)
- Transformers 4.51.0-4.57.x for LLM inference
- Diffusers for diffusion models
- Gradio 6.2.0 for web UI
- FastAPI + Uvicorn for REST API server
- uv for dependency management
- MLX (Apple Silicon native acceleration, macOS ARM64)
- nano-vllm (optimized LLM inference, non-macOS ARM64)
Multi-Platform Support
CRITICAL: Supports CUDA, ROCm, Intel XPU, MPS, MLX, and CPU. When fixing bugs or adding features:
- DO NOT alter non-target platform paths unless explicitly required
- Changes to CUDA code should not affect MPS/XPU/CPU paths
- Use
gpu_config.pyfor hardware detection and configuration
Code Organization
Main Entry Points
acestep/acestep_v15_pipeline.py- Gradio UI pipelineacestep/api_server.py- REST API servercli.py- Command-line interfaceacestep/model_downloader.py- Model downloader
Core Modules
acestep/handler.py- Audio generation handler (AceStepHandler)acestep/llm_inference.py- LLM handler for text processingacestep/inference.py- Generation logic and parametersacestep/gpu_config.py- Hardware detection and GPU configurationacestep/audio_utils.py- Audio processing utilitiesacestep/constants.py- Global constants
UI & Internationalization
acestep/gradio_ui/- Gradio interface componentsacestep/gradio_ui/i18n.py- i18n system (50+ languages)- All user-facing strings must use i18n translation keys
Training
acestep/training/- LoRA training pipelineacestep/dataset/- Dataset handling
Key Conventions
- Python style: PEP 8, 4 spaces, double quotes for strings
- Naming:
snake_casefunctions/variables,PascalCaseclasses,UPPER_SNAKE_CASEconstants - Logging: Use
logurulogger (notprint()except CLI output) - Dependencies: Use
uv add <package>to add topyproject.toml
Performance
- Target: 4GB VRAM - minimize memory allocations
- Lazy load models when needed
- Batch operations supported (up to 8 songs)
Additional Resources
- AGENTS.md: Detailed guidance for AI coding agents
- CONTRIBUTING.md: Contribution workflow and guidelines
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