What is krita-ai-diffusion built with?
krita-ai-diffusion is a Python repo built with anyio, pyqt6, and AIOHTTP. It reaches its data with alembic and SQLAlchemy, signs people in with cryptography and pyjwt, uses AI through albucore, albumentations, argostranslate, comfy-aimdo, comfy-kitchen, and 36 more, makes its content with av, comfyui-embedded-docs, comfyui-workflow-templates, cssselect2, imageio, and 12 more, validates its data with annotated-types, jsonschema, jsonschema-specifications, Pydantic, and referencing, is tested with pytest-asyncio, Pytest, and psutil, deploys with boto3, colorlog, and spacy-loggers, and uses gitdb and smart-open. It has 40,529 written lines, with 30 test files.
Read on November 13, 2026, at commit 828b70c. Read it as markdown
The card says what it's built with. Its whole map opens it up: every part of the code and how it connects to the rest.
Frontend
Backend
Data 2
- gitdb
- smart-open
Data access 2
Sign-in 2
AI 41
albumentations
argostranslate
comfy-aimdo
comfy-kitchen
ctranslate2
kornia
kornia-rs
- MediaPipe
- NVIDIA
opencv-contrib-python
opencv-python
safetensors
scikit-image
- scikit-learn
- spaCy
spacy-legacy
stanza
thinc
tokenizers
- torch
torchaudio
torchvision
- albucore
- cuda-bindings
- cuda-toolkit
- einops
- gguf
- nvidia-cuda-runtime
- nvidia-cudnn-cu12
- nvidia-cudnn-cu13
- nvidia-cufft
- nvidia-cusolver
- nvidia-cusparse
- onnxruntime
- rocm-sdk-core
- sacremoses
- sentencepiece
- spandrel
- torchsde
- transformers
- triton
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