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What is ml-stable-diffusion built with?

ml-stable-diffusion is a Python repo. It uses AI through safetensors, scikit-learn, swift-transformers, torch, diffusers, and 1 more, is tested with Pytest, and uses Hugging Face. It has 12,259 written lines, with 3 test files.

Read on November 6, 2026, at commit ea2805d. Read it as markdown

Frontend

Interface 1

Backend

AI 6

Services 1

Support

Testing 1

  • Pytest

Tools 1

  • Apple1 file

Other 2

  • NumPy8 files
  • SciPy

Other repos with a similar stack

Ordered by how much of its stack they share with ml-stable-diffusion, then by stars.

Frequently asked questions

What language is ml-stable-diffusion written in?
ml-stable-diffusion is written in Python, with 12,259 written lines.
Does ml-stable-diffusion use AI?
Yes. ml-stable-diffusion uses AI through safetensors, scikit-learn, swift-transformers, torch, diffusers, and transformers.
What services does ml-stable-diffusion use?
ml-stable-diffusion uses Hugging Face.

The proof: python_coreml_stable_diffusion/torch2coreml.py, line 24

Does ml-stable-diffusion have tests?
Yes. ml-stable-diffusion has 3 test files and is tested with Pytest.
Which repos have a stack like ml-stable-diffusion's?
The ones that share most of its stack:unslothai/unslothray-project/raygradio-app/gradio

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