What is ACE-Step-1.5 built with?

ACE-Step-1.5 is a Python repo built with FastAPI, Lightning, and uvicorn. It stores its data in diskcache, uses AI through accelerate, torchvision, triton-windows, torch, transformers, and 12 more, makes its content with torchcodec, and deploys with loguru. It has 126,537 written lines, with 190 test files.

Read on November 9, 2026, at commit ca1e85f. Read it as markdown

Frontend

Interface 4

Backend

The base 1

Data 1

  • diskcache2 files

AI 17

5 more
  • vector-quantize-pytorch6 files
  • flash-attn4 files
  • triton3 files
  • mlx-lm1 file
  • triton-windows

Support

The base 2

Content 1

Deploy 1

Tools 2

  • Numba1 file
  • tensorboard

Other 5

  • SciPy
  • soundfile5 files
  • toml1 file
  • xxhash1 file
  • python-multipart

Other repos with a similar stack

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Frequently asked questions

What language is ACE-Step-1.5 written in?
ACE-Step-1.5 is written in Python, with 126,537 written lines.
What framework does ACE-Step-1.5 use?
ACE-Step-1.5 is built with FastAPI, Lightning, and uvicorn.
What database does ACE-Step-1.5 use?
ACE-Step-1.5 stores its data in diskcache.
Does ACE-Step-1.5 use AI?
Yes. ACE-Step-1.5 uses AI through accelerate, torchvision, triton-windows, torch, transformers, mlx, einops, vector-quantize-pytorch, peft, flash-attn, safetensors, torchaudio, torchao, triton, diffusers, ModelScope, and mlx-lm.
Does ACE-Step-1.5 have tests?
Yes. ACE-Step-1.5 has 190 test files.
Which repos have a stack like ACE-Step-1.5's?
The ones that share most of its stack:mudler/LocalAIray-project/rayhpcaitech/ColossalAI

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