diff --git a/Dockerfile b/Dockerfile
index 29b94e0..4017928 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,30 +1,11 @@
-FROM nvidia/cuda:11.6.0-runtime-ubuntu18.04
-
-ENV DEBIAN_FRONTEND noninteractive
-
-RUN rm /etc/apt/sources.list.d/cuda.list || true
-RUN rm /etc/apt/sources.list.d/nvidia-ml.list || true
-RUN apt-key del 7fa2af80
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
-
-RUN apt update -y
-RUN apt upgrade -y
-RUN apt install -y curl wget software-properties-common
-RUN add-apt-repository ppa:deadsnakes/ppa
-RUN apt install -y python3.9 python3.9-distutils
-RUN curl https://bootstrap.pypa.io/get-pip.py | python3.9
+FROM python:3.10-slim
 
 WORKDIR /rembg
 
 COPY . .
-RUN python3.9 -m pip install .[gpu]
-
-RUN mkdir -p ~/.u2net
-RUN wget https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2netp.onnx -O ~/.u2net/u2netp.onnx
-RUN wget https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net.onnx -O ~/.u2net/u2net.onnx
-RUN wget https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_human_seg.onnx -O ~/.u2net/u2net_human_seg.onnx
-RUN wget https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_cloth_seg.onnx -O ~/.u2net/u2net_cloth_seg.onnx
+RUN pip install --upgrade pip
+RUN python -m pip install .
+RUN python -c 'from rembg.bg import download_models; download_models()'
 
 EXPOSE 5000
 ENTRYPOINT ["rembg"]
diff --git a/rembg/bg.py b/rembg/bg.py
index 414aa6d..b5ce82a 100644
--- a/rembg/bg.py
+++ b/rembg/bg.py
@@ -19,6 +19,7 @@ from pymatting.util.util import stack_images
 from scipy.ndimage import binary_erosion
 
 from .session_factory import new_session
+from .sessions import sessions_class
 from .sessions.base import BaseSession
 
 kernel = getStructuringElement(MORPH_ELLIPSE, (3, 3))
@@ -117,6 +118,11 @@ def fix_image_orientation(img: PILImage) -> PILImage:
     return ImageOps.exif_transpose(img)
 
 
+def download_models() -> None:
+    for session in sessions_class:
+        session.download_models()
+
+
 def remove(
     data: Union[bytes, PILImage, np.ndarray],
     alpha_matting: bool = False,