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luix93 2026-03-14 16:28:07 +01:00 committed by GitHub
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# CUDA 13.0 for Blackwell GB10 (sm_121 / compute_121)
# CUDA 12.8 only supports up to sm_120, but GB10 is sm_121.
# "devel" includes nvcc so we can compile CUDA extensions like SageAttention.
FROM nvidia/cuda:13.1.1-devel-ubuntu24.04
ARG DEBIAN_FRONTEND=noninteractive
ARG COMFYUI_REF=master
ARG SAGEATTN_REF=main
# Base system deps
RUN apt-get update && apt-get install -y --no-install-recommends \
git curl ca-certificates \
python3 python3-pip python3-venv python3-dev \
build-essential ninja-build cmake pkg-config \
libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 libxcb1 \
libtcmalloc-minimal4 \
&& rm -rf /var/lib/apt/lists/*
# Create venv (keeps python deps isolated inside container)
ENV VENV=/opt/venv
RUN python3 -m venv $VENV
ENV PATH="$VENV/bin:$PATH"
# Upgrade packaging tools
RUN pip install -U pip setuptools wheel pynvml
# ---- PyTorch (ARM64 + CUDA 13.0) ----
# PyTorch cu130 wheels work with CUDA 13.0.x runtime.
RUN pip install --index-url https://download.pytorch.org/whl/cu130 \
torch torchvision
# ---- ComfyUI ----
RUN git clone https://github.com/comfyanonymous/ComfyUI.git /opt/ComfyUI && \
cd /opt/ComfyUI && \
git checkout ${COMFYUI_REF} || true
# ---- Patch utils.py to set tensor.to() to False if --disable-mmap enabled - Fixes double RAM/VRAM usage bug ----
RUN python - <<'PY'
from pathlib import Path
path = Path("/opt/ComfyUI/comfy/utils.py")
text = path.read_text()
old = "tensor = tensor.to(device=device, copy=True)"
new = "tensor = tensor.to(device=device, copy=False)"
if old not in text:
raise SystemExit("Expected pattern not found in comfy/utils.py")
path.write_text(text.replace(old, new, 1))
PY
RUN pip install -r /opt/ComfyUI/requirements.txt
# ---- Comfy Kitchen Blackwell Optimization ----
# Copy your local wheel into the build context
COPY wheels/comfy_kitchen-0.2.7-cp312-abi3-linux_aarch64.whl /tmp/
# Force install the local wheel
# We use --force-reinstall to ensure it replaces any version installed by the requirements.txt
RUN pip install --no-cache-dir --force-reinstall /tmp/comfy_kitchen-0.2.7-cp312-abi3-linux_aarch64.whl
# Cleanup the wheel from the layer to save space
RUN rm /tmp/comfy_kitchen-0.2.7-cp312-abi3-linux_aarch64.whl
# ---- ComfyUI-Manager ----
# Handled at runtime by entrypoint.sh (clones if missing in mounted volume)
# This ensures latest version on each container start
# ---- SageAttention ----
# GB10 is compute capability 12.1 (sm_121).
# CUDA 13.0 NVCC supports sm_121, so we compile directly for it.
ENV TORCH_CUDA_ARCH_LIST="12.1"
ENV CUDA_HOME=/usr/local/cuda
# Build/install SageAttention from repo with sm_121 support
RUN pip install --no-build-isolation "git+https://github.com/thu-ml/SageAttention@${SAGEATTN_REF}" || true
# Expose ComfyUI
EXPOSE 8188
# Entry script handles runtime updates / flags
COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
ENTRYPOINT ["/entrypoint.sh"]

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#!/bin/bash
# Copy only the wheels needed for ComfyUI
# Container already includes: PyTorch, TorchVision, TorchAudio, Triton, ONNX
set -euo pipefail
MLWHEEL_SOURCE="${1:-$HOME/comfyui/wheels}"
COMFYUI_DEST="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/wheels"
echo "Copying custom wheels from: $MLWHEEL_SOURCE"
echo "Destination: $COMFYUI_DEST"
mkdir -p "$COMFYUI_DEST"
# Only copy what the container doesn't have:
# 1. Flash Attention 3 (sm_121 patches)
# 2. Comfy Kitchen (NVFP4 quantization)
if ls "$MLWHEEL_SOURCE"/flash_attn_3*.whl 1>/dev/null 2>&1; then
echo "✓ Copying Flash Attention 3..."
cp "$MLWHEEL_SOURCE"/flash_attn_3*.whl "$COMFYUI_DEST/"
else
echo "⚠ Warning: flash_attn_3*.whl not found in $MLWHEEL_SOURCE"
fi
if ls "$MLWHEEL_SOURCE"/comfy*.whl 1>/dev/null 2>&1; then
echo "✓ Copying Comfy Kitchen..."
cp "$MLWHEEL_SOURCE"/comfy*.whl "$COMFYUI_DEST/"
else
echo "⚠ Warning: comfy*.whl not found in $MLWHEEL_SOURCE"
fi
echo ""
echo "Wheels copied successfully:"
ls -lh "$COMFYUI_DEST"/*.whl 2>/dev/null || echo "No wheels found!"
echo ""
echo "NGC PyTorch container will provide:"
echo " - PyTorch 2.6+ (NVIDIA optimized)"
echo " - TorchVision, TorchAudio"
echo " - Triton, ONNX"
echo " - CUDA 13.0, cuDNN 9, NCCL"
echo " - TransformerEngine (FP8)"

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services:
comfyui:
build:
context: .
dockerfile: Dockerfile
args:
# Pin ComfyUI to a known-good commit/tag if desired
COMFYUI_REF: "${COMFYUI_REF:-master}"
# SageAttention ref (e.g., "main", "v2.2.0", or specific commit)
SAGEATTN_REF: "${SAGEATTN_REF:-main}"
image: comfyui:cu130
container_name: comfyui
# GPU enablement
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [ gpu ]
# LAN exposure
ports:
- "${COMFYUI_PORT:-8188}:8188"
environment:
COMFYUI_PORT: "${COMFYUI_PORT:-8188}"
# Optimized for Grace-Blackwell unified memory architecture
# Key insight: check .env.example for explanation regarding each flag
COMFYUI_FLAGS: "${COMFYUI_FLAGS:---listen 0.0.0.0 --port 8188 --disable-pinned-memory --use-sage-attention --force-fp16 --bf16-unet --bf16-vae --bf16-text-enc --dont-upcast-attention --disable-mmap}"
NVIDIA_VISIBLE_DEVICES: "all"
NVIDIA_DRIVER_CAPABILITIES: "compute,utility"
# Disable torch.compile/inductor - Triton doesn't support Blackwell sm_121a yet
TORCH_COMPILE_DISABLE: "1"
TORCHDYNAMO_DISABLE: "1"
# Grace-Blackwell unified memory optimizations
CUDA_CACHE_DISABLE: "1"
PYTORCH_NO_CUDA_MEMORY_CACHING: "1"
CUDA_DEVICE_MAX_CONNECTIONS: "1"
CUDA_DEVICE_MAX_COPY_CONNECTIONS: "4"
CUDA_MODULE_LOADING: "CUDA" # EAGER works as well, however CUDA loads models in memory a lot faster
CUDA_MANAGED_FORCE_DEVICE_ALLOC: "1"
OMP_NUM_THREADS: "20"
CUBLAS_WORKSPACE_CONFIG: ":0:0"
volumes:
# --- PERSISTENT STORAGE (Read/Write) ---
# 1. Models (Shared with host)
- ${COMFYUI_HOST_PATH}/models:/opt/ComfyUI/models:rw
# 2. Settings, User workflows, Manager config
- ${COMFYUI_DATA_PATH}/user:/opt/ComfyUI/user:rw
# 3. Custom Nodes
- ${COMFYUI_DATA_PATH}/custom_nodes:/opt/ComfyUI/custom_nodes:rw
# 4. Inputs/Outputs/Workflows
- ${COMFYUI_DATA_PATH}/output:/opt/ComfyUI/output:rw
- ${COMFYUI_DATA_PATH}/input:/opt/ComfyUI/input:rw
- ${COMFYUI_DATA_PATH}/workflows:/opt/ComfyUI/workflows:rw
# 5. Wheel Vault (Optional)
- ${COMFYUI_DATA_PATH}/wheels:/opt/wheels:rw
networks:
- comfy_net
# Health check - ComfyUI takes time to load, so generous start period
healthcheck:
test: [ "CMD", "curl", "-f", "http://localhost:8188/" ]
interval: 30s
timeout: 10s
start_period: 120s
retries: 3
restart: unless-stopped
# ComfyUIMini - Mobile-friendly UI
# Access at http://<host>:3000
comfyuimini:
build:
context: ./comfyuimini
dockerfile: Dockerfile
args:
COMFYUIMINI_REF: "${COMFYUIMINI_REF:-main}"
image: comfyuimini:latest
container_name: comfyuimini
ports:
- "${COMFYUIMINI_PORT:-3000}:3000"
environment:
# node-config override - connects to comfyui container via docker network
NODE_CONFIG: >-
{
"app_port": 3000,
"comfyui_url": "http://comfyui:8188",
"comfyui_ws_url": "ws://comfyui:8188",
"output_dir": "/shared/output",
"reject_unauthorised_cert": false
}
volumes:
# Share output directory with ComfyUI for gallery feature (read-only)
- ${COMFYUI_DATA_PATH}/output:/shared/output:ro
# Persist server-side workflows
- comfyuimini_workflows:/app/workflows
networks:
- comfy_net
depends_on:
comfyui:
condition: service_healthy
restart: unless-stopped
networks:
comfy_net:
driver: bridge
volumes:
comfyuimini_workflows:

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#!/usr/bin/env bash
set -euo pipefail
COMFY_DIR="/opt/ComfyUI"
PORT="${COMFYUI_PORT:-8188}"
FLAGS="${COMFYUI_FLAGS:---listen 0.0.0.0 --port ${PORT}}"
echo "[entrypoint] Python: $(python --version)"
echo "[entrypoint] Torch: $(python -c 'import torch; print(torch.__version__)')"
echo "[entrypoint] CUDA: $(python -c 'import torch; print(torch.version.cuda)')"
echo "[entrypoint] Flags: ${FLAGS}"
# Ensure ComfyUI-Manager exists in mounted custom_nodes
# Check for __init__.py to detect corrupted/partial installs
if [[ ! -f "${COMFY_DIR}/custom_nodes/ComfyUI-Manager/__init__.py" ]]; then
echo "[entrypoint] ComfyUI-Manager missing or corrupted, cloning latest..."
rm -rf "${COMFY_DIR}/custom_nodes/ComfyUI-Manager" 2>/dev/null || true
git clone https://github.com/ltdrdata/ComfyUI-Manager.git \
"${COMFY_DIR}/custom_nodes/ComfyUI-Manager" || true
fi
# Install any requirements from custom nodes
for req in "${COMFY_DIR}"/custom_nodes/*/requirements.txt; do
if [[ -f "$req" ]]; then
echo "[entrypoint] Installing deps from: $req"
pip install -q -r "$req" || true
fi
done
exec python "${COMFY_DIR}/main.py" ${FLAGS}