diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..6d86c06
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,4 @@
+.vscode/
+SD/
+xformers/
+/*.whl
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..0584fcc
--- /dev/null
+++ b/README.md
@@ -0,0 +1,23 @@
+# xformers
+다양한 Python 버전과 PyTorch 를 사용해 미리 컴파일한 [xformers](https://github.com/facebookresearch/xformers) 패키지
+
+## 빌드 스크립트
+`docker.sh` 로 개별 빌드하거나 `docker-batch.sh` 로 여러 버전 빌드할 수 있음
+
+도커 (또는 포드만) 없어도 `build.sh` 로 도커 없이도 돌릴 수 있긴 함  
+데비안 계열 배포판 안쓰고 있거나 잡다한 패키지 깔리는거 싫으면 도커 강추
+
+### 환경 변수
+- `TRACE` - `1` 값으로 설정해 `xtrace` 켜기 (기본 값: `0`)
+- `PYTHON_VERSION` - 사용할 파이썬 버전 (기본 값: `3.8`)
+- `PIP_TORCH_INDEX` - PyTorch 패키지 인덱스 주소 (기본 값: `https://download.pytorch.org/whl/cu116`)
+- `PIP_TORCH_PACKAGE` - PyTorch 패키지 명 (기본 값: `torch`)
+- `TORCH_CUDA_ARCH_LIST` - `xformers` 에서 컴파일할 목표 GPU 버전 (기본 값: `6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6`, [버전 목록](https://en.wikipedia.org/wiki/CUDA#GPUs_supported))
+- `NVCC_FLAGS` - NVCC 플래그 (기본 값: [`--use_fast_math -DXFORMERS_MEM_EFF_ATTENTION_DISABLE_BACKWARD`](https://github.com/facebookresearch/xformers/pull/482))
+- `MAX_JOBS` - `ninja` 에서 사용할 스레드 수 (기본 값: `현재 스레드 수 - 2`)
+- `DOCKER_IMAGE` - 빌드에 사용할 도커 이미지 (기본 값: `docker.io/nvidia/cuda:11.6.0-devel-ubuntu18.04`)
+
+### 예시
+```sh
+$ TRACE=1 PYTHON_VERSION="3.10" ./docker.sh && mv xformers/dist/*.whl .
+```
diff --git a/build.sh b/build.sh
new file mode 100755
index 0000000..0f00d2b
--- /dev/null
+++ b/build.sh
@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+set -o errexit
+set -o nounset
+set -o pipefail
+shopt -s globstar
+shopt -s nullglob
+[[ "${TRACE-0}" == "1" ]] && set -o xtrace
+
+# install requirements
+apt update && apt install -y software-properties-common
+add-apt-repository -y ppa:deadsnakes/ppa
+apt install -y \
+  git \
+  python3-pip \
+  python${PYTHON_VERSION} \
+  python${PYTHON_VERSION}-venv \
+  python${PYTHON_VERSION}-distutils
+
+# venv is safer than update-alternatives
+python${PYTHON_VERSION} -m venv /venv
+source /venv/bin/activate
+
+# checky check :)
+pip -V
+
+# setup xformers repository
+if [[ ! -d "xformers/.git" ]]; then
+  git clone --depth=1 https://github.com/facebookresearch/xformers.git
+fi
+
+pushd xformers
+
+  # update repository
+  git pull
+  git submodule update --init --recursive
+
+  # install python dependencies
+  pip install \
+    --upgrade \
+    --extra-index-url "${PIP_TORCH_INDEX}" \
+    "${PIP_TORCH_PACKAGE}" \
+    ninja wheel \
+    -r requirements.txt
+
+  # just in case
+  python setup.py clean
+
+  # let's hope nothing bad happen...
+  python setup.py build bdist_wheel --universal
+
+popd
diff --git a/docker-batch.sh b/docker-batch.sh
new file mode 100755
index 0000000..6f8d7b4
--- /dev/null
+++ b/docker-batch.sh
@@ -0,0 +1,42 @@
+#!/usr/bin/env bash
+set -o errexit
+set -o nounset
+set -o pipefail
+shopt -s globstar
+shopt -s nullglob
+[[ "${TRACE-0}" == "1" ]] && set -o xtrace
+
+cuda_versions=(
+  "cu113"
+  "cu116"
+)
+
+declare -A cuda_images
+cuda_images["cu113"]="docker.io/nvidia/cuda:11.3.0-devel-ubuntu18.04"
+cuda_images["cu116"]="docker.io/nvidia/cuda:11.6.0-devel-ubuntu18.04"
+
+# xformers supports 3.7 to 3.10
+# https://github.com/facebookresearch/xformers/blob/e163309908ed7a76847ce46c79b238b49fd7d341/setup.py#L335-L338
+python_versions=(
+  "3.7"
+  "3.8"
+  "3.9"
+  "3.10"
+)
+
+for cuda_version in "${cuda_versions[@]}"; do
+  dist_dir="wheels/${cuda_version}"
+  mkdir -p "${dist_dir}"
+
+  for python_version in "${python_versions[@]}"; do
+    echo "build xformers with ${cuda_version} and python${python_version}"
+
+    PYTHON_VERSION="${python_version}" \
+    PIP_TORCH_INDEX="https://download.pytorch.org/whl/${cuda_version}" \
+    PIP_TORCH_PACKAGE="torch==1.12.1+${cuda_version}" \
+    DOCKER_IMAGE="${cuda_images["$cuda_version"]}" \
+      "$(dirname "$0")/docker.sh"
+    
+    mv xformers/dist/*.whl "${dist_dir}/"
+  done
+done
\ No newline at end of file
diff --git a/docker.sh b/docker.sh
new file mode 100755
index 0000000..71c5e34
--- /dev/null
+++ b/docker.sh
@@ -0,0 +1,24 @@
+#!/usr/bin/env bash
+set -o errexit
+set -o nounset
+set -o pipefail
+shopt -s globstar
+shopt -s nullglob
+[[ "${TRACE-0}" == "1" ]] && set -o xtrace
+ 
+docker run \
+  --rm \
+  -e TRACE="${TRACE-0}" \
+  -e PYTHON_VERSION="${PYTHON_VERSION:-"3.8"}" \
+  -e PIP_TORCH_INDEX="${PIP_TORCH_INDEX:-"https://download.pytorch.org/whl/cu116"}" \
+  -e PIP_TORCH_PACKAGE="${PIP_TORCH_PACKAGE:-"torch"}" \
+  -e TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-"6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6"}" \
+  -e NVCC_FLAGS="${NVCC_FLAGS:-"--use_fast_math"}" \
+  -e MAX_JOBS="${MAX_JOBS:-$(($(nproc) - 2))}" \
+  -e FORCE_CUDA=1 \
+  -e XFORMERS_DISABLE_FLASH_ATTN=1 \
+  -e DEBIAN_FRONTEND=noninteractive \
+  -v "$(dirname "$0")/build.sh:/build.sh:ro" \
+  -v "$(pwd):/workspace" -w /workspace \
+  --entrypoint /build.sh \
+  "${DOCKER_IMAGE:-"docker.io/nvidia/cuda:11.6.0-devel-ubuntu18.04"}"