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What is Wan2.2 built with?

Wan2.2 is a Python repo built with Lightning. It uses AI through accelerate, conformer, openai-whisper, pyworld, sentencepiece, and 14 more, makes its content with imageio-ffmpeg, decord, and imageio, deploys with loguru, and uses pyarrow. It has 19,152 written lines.

Read on November 6, 2026, at commit 1ea34ff. Read it as markdown

Frontend

Interface 2

Backend

Data 1

AI 19

7 more

Support

The base 1

  • Lightning

Content 3

  • imageio1 file
  • imageio-ffmpeg
  • decord4 files

Deploy 1

Tools 1

  • gitpython1 file

Other 11

  • NumPy17 files
  • tqdm8 files
  • omegaconf1 file
  • hydra-core
  • pandas
  • easydict6 files
  • ftfy1 file
  • gdown
  • hyperpyyaml
  • inflect
  • wget

Other repos with a similar stack

Ordered by how much of its stack they share with Wan2.2, then by stars.

Frequently asked questions

What language is Wan2.2 written in?
Wan2.2 is written in Python, with 19,152 written lines.
What framework does Wan2.2 use?
Wan2.2 is built with Lightning.
Does Wan2.2 use AI?
Yes. Wan2.2 uses AI through accelerate, conformer, openai-whisper, pyworld, sentencepiece, tokenizers, wetext, torch, diffusers, opencv-python, torchvision, flash-attn, transformers, peft, dashscope, librosa, ModelScope, onnxruntime, and torchaudio.
What services does Wan2.2 use?
Wan2.2 uses pyarrow.
Which repos have a stack like Wan2.2's?
The ones that share most of its stack:mudler/LocalAIdebpalash/VoiceStudioray-project/ray

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