Reorder Dockerfile ENV/ARG and update README

Dockerfile

@@ -1,12 +1,12 @@
 FROM docker.io/pytorch/pytorch:2.12.1-cuda13.0-cudnn9-runtime
-ARG COMFYUI_VERSION=v0.28.0
-ENV PIP_BREAK_SYSTEM_PACKAGES=1
 RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential git libgl1 libx11-6 tini \
     && rm -rf /var/lib/apt/lists/*
+ARG COMFYUI_VERSION=v0.28.0
 RUN git clone --depth 1 --branch ${COMFYUI_VERSION} \
     https://github.com/Comfy-Org/ComfyUI /app
 WORKDIR /app
+ENV PIP_BREAK_SYSTEM_PACKAGES=1
 RUN pip install --no-cache-dir -r requirements.txt
 RUN pip install --no-cache-dir -r manager_requirements.txt
 EXPOSE 8188

README.md

@@ -1,11 +1,14 @@
 # docker-comfyui
 
-Build and run ComfyUI in a container. This build targets NVIDIA by basing it on
+Build and run ComfyUI in a container with ComfyUI-Manager. This build targets
-the CUDA PyTorch runtime image. The only extra dependencies needed are `git`, to
+NVIDIA GPUs by using the CUDA PyTorch runtime image. Added dependencies are
-clone the official ComfyUI repository, and `build-essential` for `gcc`, which
+`libgl1` and `libx11-6` for the comfy_extras GLSL nodes, `tini` to handle SIGINT
-Triton requires. The image pulls a specific, pinned ComfyUI version via the
+signals, `git` to clone the ComfyUI repository, and `build-essential` for gcc,
-`COMFYUI_VERSION` build arg. The build merely shallow-clones the repo and
+which Triton requires.
-installs its requirements with `pip`. Kept intentionally simple.
+
+The image pulls a specific, pinned ComfyUI version via the `COMFYUI_VERSION`
+build arg. The build merely shallow-clones the repo and installs its
+requirements with pip. Kept intentionally simple.
 
 ### `.env` configuration