mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-04-15 13:02:35 +08:00
79c06245ff
- Drop runtime installer for uv; uv is now baked into the image via Dockerfile. - Keep pip preflight (ensurepip) and toml preinstall to satisfy ComfyUI-Manager’s prestartup requirements. - Retain unified torch-based GPU probe, SageAttention setup, custom node install flow, and ONNX Runtime CUDA provider guard.
358 lines
15 KiB
Bash
358 lines
15 KiB
Bash
#!/bin/bash
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set -euo pipefail
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# --- config ---
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APP_USER=${APP_USER:-appuser}
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APP_GROUP=${APP_GROUP:-appuser}
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PUID=${PUID:-1000}
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PGID=${PGID:-1000}
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BASE_DIR=/app/ComfyUI
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CUSTOM_NODES_DIR="$BASE_DIR/custom_nodes"
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SAGE_ATTENTION_DIR="$BASE_DIR/.sage_attention"
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SAGE_ATTENTION_BUILT_FLAG="$SAGE_ATTENTION_DIR/.built"
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PERMISSIONS_SET_FLAG="$BASE_DIR/.permissions_set"
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FIRST_RUN_FLAG="$BASE_DIR/.first_run_done"
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# --- logging ---
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log() { echo "[$(date '+%H:%M:%S')] $1"; }
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# Make newly created files group-writable (helps in shared volumes)
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umask 0002
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# --- build parallelism (single knob) ---
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decide_build_jobs() {
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if [ -n "${SAGE_MAX_JOBS:-}" ]; then echo "$SAGE_MAX_JOBS"; return; fi
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local mem_kb=$(awk '/MemTotal:/ {print $2}' /proc/meminfo 2>/dev/null || echo 0)
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local cpu=$(nproc) cap=24 jobs
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if [ "$mem_kb" -le $((8*1024*1024)) ]; then jobs=2
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elif [ "$mem_kb" -le $((12*1024*1024)) ]; then jobs=3
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elif [ "$mem_kb" -le $((24*1024*1024)) ]; then jobs=4
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elif [ "$mem_kb" -le $((64*1024*1024)) ]; then jobs=$(( cpu<8 ? cpu : 8 ))
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else jobs=$cpu; [ "$jobs" -gt "$cap" ] && jobs=$cap
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fi
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echo "$jobs"
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}
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# --- unified GPU probe (torch-based) ---
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probe_and_prepare_gpu() {
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python - <<'PY' 2>/dev/null
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import os, sys
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try:
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import torch
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except Exception:
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print("GPU_COUNT=0"); print("COMPAT_GE_75=0"); print("TORCH_CUDA_ARCH_LIST=''")
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print("DET_TURING=false"); print("DET_AMP80=false"); print("DET_AMP86=false"); print("DET_AMP87=false")
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print("DET_ADA=false"); print("DET_HOPPER=false"); print("DET_BW12=false"); print("DET_BW10=false")
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print("SAGE_STRATEGY='fallback'"); sys.exit(0)
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if not torch.cuda.is_available():
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print("GPU_COUNT=0"); print("COMPAT_GE_75=0"); print("TORCH_CUDA_ARCH_LIST=''")
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print("DET_TURING=false"); print("DET_AMP80=false"); print("DET_AMP86=false"); print("DET_AMP87=false")
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print("DET_ADA=false"); print("DET_HOPPER=false"); print("DET_BW12=false"); print("DET_BW10=false")
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print("SAGE_STRATEGY='fallback'"); sys.exit(0)
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n = torch.cuda.device_count()
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ccs = []
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flags = {"DET_TURING":False,"DET_AMP80":False,"DET_AMP86":False,"DET_AMP87":False,"DET_ADA":False,"DET_HOPPER":False,"DET_BW12":False,"DET_BW10":False}
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compat = False
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for i in range(n):
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p = torch.cuda.get_device_properties(i)
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mj, mn = p.major, p.minor
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ccs.append(f"{mj}.{mn}")
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if (mj,mn)==(7,5): flags["DET_TURING"]=True
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elif (mj,mn)==(8,0): flags["DET_AMP80"]=True
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elif (mj,mn)==(8,6): flags["DET_AMP86"]=True
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elif (mj,mn)==(8,7): flags["DET_AMP87"]=True
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elif (mj,mn)==(8,9): flags["DET_ADA"]=True
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elif (mj,mn)==(9,0): flags["DET_HOPPER"]=True
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elif (mj,mn)==(10,0): flags["DET_BW10"]=True
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elif (mj,mn)==(12,0): flags["DET_BW12"]=True
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if (mj*10+mn) >= 75:
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compat = True
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ordered = sorted(set(ccs), key=lambda s: tuple(map(int, s.split("."))))
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arch_list = ";".join(ordered) if ordered else ""
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if flags["DET_TURING"]:
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if any(flags[k] for k in ["DET_AMP80","DET_AMP86","DET_AMP87","DET_ADA","DET_HOPPER","DET_BW12","DET_BW10"]):
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strategy = "mixed_with_turing"
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else:
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strategy = "turing_only"
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elif flags["DET_BW12"] or flags["DET_BW10"]:
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strategy = "blackwell_capable"
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elif flags["DET_HOPPER"]:
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strategy = "hopper_capable"
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elif flags["DET_ADA"] or flags["DET_AMP86"] or flags["DET_AMP87"] or flags["DET_AMP80"]:
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strategy = "ampere_ada_optimized"
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else:
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strategy = "fallback"
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print(f"GPU_COUNT={n}")
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print(f"COMPAT_GE_75={1 if compat else 0}")
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print(f"TORCH_CUDA_ARCH_LIST='{arch_list}'")
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for k,v in flags.items():
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print(f"{k}={'true' if v else 'false'}")
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print(f"SAGE_STRATEGY='{strategy}'")
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print(f"[GPU] Found {n} CUDA device(s); CC list: {arch_list or 'none'}; strategy={strategy}; compat>={7.5}:{compat}", file=sys.stderr)
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PY
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}
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# --- install triton versions based on strategy ---
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install_triton_version() {
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case "${SAGE_STRATEGY:-fallback}" in
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"mixed_with_turing"|"turing_only")
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log "Installing Triton 3.2.0 for Turing compatibility"
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python -m pip install --user --force-reinstall "triton==3.2.0" || python -m pip install --user --force-reinstall triton || true
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;;
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"blackwell_capable"|"hopper_capable")
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log "Installing latest Triton for Hopper/Blackwell"
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python -m pip install --user --force-reinstall triton || python -m pip install --user --force-reinstall --pre triton || python -m pip install --user --force-reinstall "triton>=3.2.0" || true
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;;
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*)
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log "Installing latest stable Triton"
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python -m pip install --user --force-reinstall triton || { log "WARNING: Triton installation failed"; return 1; }
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;;
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esac
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}
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build_sage_attention_mixed() {
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log "Building Sage Attention..."
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mkdir -p "$SAGE_ATTENTION_DIR"; cd "$SAGE_ATTENTION_DIR"
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export TORCH_CUDA_ARCH_LIST="${SAGE_ARCH_LIST_OVERRIDE:-${TORCH_CUDA_ARCH_LIST:-}}"
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if [ -z "${TORCH_CUDA_ARCH_LIST:-}" ]; then
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TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9;9.0;10.0;12.0"
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fi
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log "Set TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST"
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case "${SAGE_STRATEGY:-fallback}" in
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"mixed_with_turing"|"turing_only")
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log "Cloning SageAttention v1.0 for Turing"
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if [ -d "SageAttention/.git" ]; then cd SageAttention; git fetch --depth 1 origin || return 1; git checkout v1.0 2>/dev/null || git checkout -b v1.0 origin/v1.0 || return 1; git reset --hard origin/v1.0 || return 1
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else rm -rf SageAttention; git clone --depth 1 https://github.com/thu-ml/SageAttention.git -b v1.0 || return 1; cd SageAttention; fi
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;;
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*)
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log "Cloning latest SageAttention"
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if [ -d "SageAttention/.git" ]; then cd SageAttention; git fetch --depth 1 origin || return 1; git reset --hard origin/main || return 1
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else rm -rf SageAttention; git clone --depth 1 https://github.com/thu-ml/SageAttention.git || return 1; cd SageAttention; fi
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;;
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esac
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[ "${SAGE_VERBOSE_BUILD:-0}" = "1" ] && export TORCH_CPP_BUILD_VERBOSE=1
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local jobs; jobs="$(decide_build_jobs)"
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log "Using MAX_JOBS=${jobs} for SageAttention build"
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if MAX_JOBS="${jobs}" python -m pip install --user --no-build-isolation .; then
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echo "${SAGE_STRATEGY:-fallback}|${TORCH_CUDA_ARCH_LIST:-}" > "$SAGE_ATTENTION_BUILT_FLAG"
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log "SageAttention built successfully"
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cd "$BASE_DIR"; return 0
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else
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log "ERROR: SageAttention build failed"
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cd "$BASE_DIR"; return 1
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fi
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}
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needs_rebuild() {
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if [ ! -f "$SAGE_ATTENTION_BUILT_FLAG" ]; then return 0; fi
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local x; x=$(cat "$SAGE_ATTENTION_BUILT_FLAG" 2>/dev/null || echo "")
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local prev_strategy="${x%%|*}"; local prev_arch="${x#*|}"
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if [ "$prev_strategy" != "${SAGE_STRATEGY:-fallback}" ] || [ "$prev_arch" != "${TORCH_CUDA_ARCH_LIST:-}" ]; then return 0; fi
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return 1
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}
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test_sage_attention() {
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python -c "
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import sys
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try:
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import sageattention; print('[TEST] SageAttention import: SUCCESS')
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v=getattr(sageattention,'__version__',None)
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if v: print(f'[TEST] Version: {v}'); sys.exit(0)
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except ImportError as e:
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print(f'[TEST] SageAttention import: FAILED - {e}'); sys.exit(1)
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except Exception as e:
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print(f'[TEST] SageAttention test: ERROR - {e}'); sys.exit(1)
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" 2>/dev/null
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}
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setup_sage_attention() {
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export SAGE_ATTENTION_BUILT=0 SAGE_ATTENTION_AVAILABLE=0
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if [ "${GPU_COUNT:-0}" -eq 0 ]; then log "No GPUs detected, skipping SageAttention setup"; return 0; fi
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if [ "${COMPAT_GE_75:-0}" -ne 1 ]; then log "GPU compute capability < 7.5; skipping SageAttention"; return 0; fi
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if needs_rebuild || ! test_sage_attention; then
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log "Building SageAttention..."
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if install_triton_version && build_sage_attention_mixed && test_sage_attention; then
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export SAGE_ATTENTION_BUILT=1 SAGE_ATTENTION_AVAILABLE=1
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log "SageAttention is built; set FORCE_SAGE_ATTENTION=1 to enable it at startup"
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else
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export SAGE_ATTENTION_BUILT=0 SAGE_ATTENTION_AVAILABLE=0
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log "WARNING: SageAttention is not available after build attempt"
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fi
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else
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export SAGE_ATTENTION_BUILT=1 SAGE_ATTENTION_AVAILABLE=1
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log "SageAttention already built and importable"
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fi
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}
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# --- root to runtime user ---
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if [ "$(id -u)" = "0" ]; then
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if [ ! -f "$PERMISSIONS_SET_FLAG" ]; then
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log "Setting up user permissions..."
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if getent group "${PGID}" >/dev/null; then
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EXISTING_GRP="$(getent group "${PGID}" | cut -d: -f1)"; usermod -g "${EXISTING_GRP}" "${APP_USER}" || true; APP_GROUP="${EXISTING_GRP}"
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else groupmod -o -g "${PGID}" "${APP_GROUP}" || true; fi
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usermod -o -u "${PUID}" "${APP_USER}" || true
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mkdir -p "/home/${APP_USER}"
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for d in "$BASE_DIR" "/home/$APP_USER"; do [ -e "$d" ] && chown -R "${APP_USER}:${APP_GROUP}" "$d" || true; done
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readarray -t PY_PATHS < <(python - <<'PY'
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import sys, sysconfig, os, site, datetime
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def log(m): print(f"[bootstrap:python {datetime.datetime.now().strftime('%H:%M:%S')}] {m}", file=sys.stderr, flush=True)
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log("Determining writable Python install targets via sysconfig.get_paths(), site.getsitepackages(), and site.getusersitepackages()")
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seen=set()
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for k in ("purelib","platlib","scripts","include","platinclude","data"):
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v = sysconfig.get_paths().get(k)
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if v and v.startswith("/usr/local") and v not in seen:
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print(v); seen.add(v); log(f"emit {k} -> {v}")
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for v in (site.getusersitepackages(),):
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if v and v not in seen:
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print(v); seen.add(v); log(f"emit usersite -> {v}")
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for v in site.getsitepackages():
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if v and v.startswith("/usr/local") and v not in seen:
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print(v); seen.add(v); log(f"emit sitepkg -> {v}")
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d = sysconfig.get_paths().get("data")
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if d:
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share=os.path.join(d,"share"); man1=os.path.join(share,"man","man1")
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for v in (share, man1):
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if v and v.startswith("/usr/local") and v not in seen:
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print(v); seen.add(v); log(f"emit wheel data -> {v}")
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PY
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)
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for d in "${PY_PATHS[@]}"; do
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[ -n "$d" ] || continue
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mkdir -p "$d" || true
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chown -R "${APP_USER}:${APP_GROUP}" "$d" || true
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chmod -R u+rwX,g+rwX "$d" || true
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done
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if [ -d "/usr/local/lib/python3.12/site-packages" ]; then
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chown -R "${APP_USER}:${APP_GROUP}" /usr/local/lib/python3.12/site-packages || true
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chmod -R u+rwX,g+rwX /usr/local/lib/python3.12/site-packages || true
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fi
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touch "$PERMISSIONS_SET_FLAG"; chown "${APP_USER}:${APP_GROUP}" "$PERMISSIONS_SET_FLAG"
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log "User permissions configured"
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else
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log "User permissions already configured, skipping..."
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fi
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exec runuser -u "${APP_USER}" -- "$0" "$@"
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fi
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# From here on, running as $APP_USER
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export PATH="$HOME/.local/bin:$PATH"
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pyver="$(python -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")')"
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export PYTHONPATH="$HOME/.local/lib/python${pyver}/site-packages:${PYTHONPATH:-}"
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export PIP_USER=1
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export PIP_PREFER_BINARY=1
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# --- single GPU probe + early exit ---
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eval "$(probe_and_prepare_gpu)"
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if [ "${GPU_COUNT:-0}" -eq 0 ] || [ "${COMPAT_GE_75:-0}" -ne 1 ]; then
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log "No compatible NVIDIA GPU (compute capability >= 7.5) detected; shutting down."
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exit 0
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fi
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# --- Ensure package manager and Manager deps are available ---
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# Ensure python -m pip works (bootstrap if needed)
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python -m pip --version >/dev/null 2>&1 || python -m ensurepip --upgrade >/dev/null 2>&1 || true
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python -m pip --version >/dev/null 2>&1 || log "WARNING: pip still not available after ensurepip"
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# Ensure ComfyUI-Manager minimal Python deps
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python - <<'PY' || python -m pip install --no-cache-dir --user toml || true
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import sys
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try:
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import toml # noqa
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sys.exit(0)
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except Exception:
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sys.exit(1)
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PY
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# --- SageAttention setup using probed data ---
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setup_sage_attention
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# --- ComfyUI-Manager sync ---
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if [ -d "$CUSTOM_NODES_DIR/ComfyUI-Manager/.git" ]; then
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log "Updating ComfyUI-Manager"
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git -C "$CUSTOM_NODES_DIR/ComfyUI-Manager" fetch --depth 1 origin || true
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git -C "$CUSTOM_NODES_DIR/ComfyUI-Manager" reset --hard origin/HEAD || true
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git -C "$CUSTOM_NODES_DIR/ComfyUI-Manager" clean -fdx || true
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elif [ ! -d "$CUSTOM_NODES_DIR/ComfyUI-Manager" ]; then
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log "Installing ComfyUI-Manager"
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git clone --depth 1 https://github.com/ltdrdata/ComfyUI-Manager.git "$CUSTOM_NODES_DIR/ComfyUI-Manager" || true
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fi
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# --- first-run install of custom_nodes ---
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if [ ! -f "$FIRST_RUN_FLAG" ] || [ "${COMFY_FORCE_INSTALL:-0}" = "1" ]; then
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if [ "${COMFY_AUTO_INSTALL:-1}" = "1" ]; then
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log "First run or forced; installing custom node dependencies..."
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shopt -s nullglob
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for d in "$CUSTOM_NODES_DIR"/*; do
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[ -d "$d" ] || continue
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base="$(basename "$d")"
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[ "$base" = "ComfyUI-Manager" ] && continue
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if [ -f "$d/requirements.txt" ]; then
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log "Installing requirements for node: $base"
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python -m pip install --no-cache-dir --user --upgrade --upgrade-strategy only-if-needed -r "$d/requirements.txt" || true
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fi
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if [ -f "$d/install.py" ]; then
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log "Running install.py for node: $base"
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(cd "$d" && python "install.py") || true
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fi
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done
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shopt -u nullglob
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python -m pip check || true
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else
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log "COMFY_AUTO_INSTALL=0; skipping dependency install"
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fi
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touch "$FIRST_RUN_FLAG"
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else
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log "Not first run; skipping custom_nodes dependency install"
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fi
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# --- Ensure ONNX Runtime has CUDA provider (GPU) ---
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python - <<'PY' || {
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import sys
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try:
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import onnxruntime as ort
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ok = "CUDAExecutionProvider" in ort.get_available_providers()
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sys.exit(0 if ok else 1)
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except Exception:
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sys.exit(1)
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PY
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log "Installing onnxruntime-gpu for CUDAExecutionProvider..."
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python -m pip uninstall -y onnxruntime || true
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python -m pip install --no-cache-dir --user "onnxruntime-gpu>=1.19" || true
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python - <<'P2' || log "WARNING: ONNX Runtime CUDA provider not available after installation"
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import onnxruntime as ort, sys
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print("ORT providers:", ort.get_available_providers())
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sys.exit(0 if "CUDAExecutionProvider" in ort.get_available_providers() else 1)
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P2
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# --- launch ComfyUI ---
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COMFYUI_ARGS=""
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if [ "${FORCE_SAGE_ATTENTION:-0}" = "1" ] && test_sage_attention; then
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COMFYUI_ARGS="--use-sage-attention"
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log "Starting ComfyUI with SageAttention (FORCE_SAGE_ATTENTION=1)"
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else
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if [ "${SAGE_ATTENTION_AVAILABLE:-0}" = "1" ]; then
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log "SageAttention is built; set FORCE_SAGE_ATTENTION=1 to enable"
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else
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log "SageAttention not available; starting without it"
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fi
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fi
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cd "$BASE_DIR"
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if [ $# -eq 0 ]; then
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exec python main.py --listen 0.0.0.0 $COMFYUI_ARGS
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else
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if [ "$1" = "python" ] && [ "${2:-}" = "main.py" ]; then
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shift 2; exec python main.py $COMFYUI_ARGS "$@"
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else
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exec "$@"
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fi
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fi
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