diff --git a/run-docker-cuda-deb.sh b/run-docker-cuda-deb.sh
deleted file mode 100755
index b35e9cc6b..000000000
--- a/run-docker-cuda-deb.sh
+++ /dev/null
@@ -1,210 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# ───────────────────────── helpers ─────────────────────────
-
-install_nvidia_smi_if_missing() {
-    if command -v nvidia-smi &>/dev/null; then
-        return
-    fi
-
-    echo "⚠️  nvidia-smi not found. Installing nvidia-utils…"
-    if [ "$EUID" -ne 0 ]; then
-        SUDO='sudo'
-    else
-        SUDO=''
-    fi
-
-    $SUDO apt-get update
-    $SUDO apt-get install -y nvidia-utils-535 || $SUDO apt-get install -y nvidia-utils
-
-    if ! command -v nvidia-smi &>/dev/null; then
-        echo "❌ Failed to install nvidia-smi. Cannot detect GPU architecture."
-        exit 1
-    fi
-    echo "✅ nvidia-smi installed successfully."
-}
-
-detect_gpu_name() {
-    install_nvidia_smi_if_missing
-    nvidia-smi --query-gpu=name --format=csv,noheader,nounits | head -1
-}
-
-map_gpu_to_arch() {
-    local name="$1"
-    case "$name" in
-    *"RTX 50"* | *"5090"* | *"5080"* | *"5070"*) echo "12.0" ;;
-    *"H100"* | *"H800"*) echo "9.0" ;;
-    *"RTX 40"* | *"4090"* | *"4080"* | *"4070"* | *"4060"*) echo "8.9" ;;
-    *"RTX 30"* | *"3090"* | *"3080"* | *"3070"* | *"3060"*) echo "8.6" ;;
-    *"A100"* | *"A800"* | *"A40"*) echo "8.0" ;;
-    *"Tesla V100"*) echo "7.0" ;;
-    *"RTX 20"* | *"2080"* | *"2070"* | *"2060"* | *"Titan RTX"*) echo "7.5" ;;
-    *"GTX 16"* | *"1660"* | *"1650"*) echo "7.5" ;;
-    *"GTX 10"* | *"1080"* | *"1070"* | *"1060"* | *"Tesla P100"*) echo "6.1" ;;
-    *"Tesla K80"* | *"Tesla K40"*) echo "3.7" ;;
-    *)
-        echo "❌ Unknown GPU model: $name"
-        echo "Please update the map_gpu_to_arch function for this model."
-        exit 1
-        ;;
-    esac
-}
-
-get_gpu_vram() {
-    install_nvidia_smi_if_missing
-    # Get VRAM in MB, convert to GB
-    local vram_mb=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits | head -1)
-    echo $((vram_mb / 1024))
-}
-
-map_gpu_to_profile() {
-    local name="$1"
-    local vram_gb="$2"
-
-    # WanGP Profile descriptions from the actual UI:
-    # Profile 1: HighRAM_HighVRAM - 48GB+ RAM, 24GB+ VRAM (fastest for short videos, RTX 3090/4090)
-    # Profile 2: HighRAM_LowVRAM - 48GB+ RAM, 12GB+ VRAM (recommended, most versatile)
-    # Profile 3: LowRAM_HighVRAM - 32GB+ RAM, 24GB+ VRAM (RTX 3090/4090 with limited RAM)
-    # Profile 4: LowRAM_LowVRAM - 32GB+ RAM, 12GB+ VRAM (default, little VRAM or longer videos)
-    # Profile 5: VerylowRAM_LowVRAM - 16GB+ RAM, 10GB+ VRAM (fail safe, slow but works)
-
-    case "$name" in
-    # High-end data center GPUs with 24GB+ VRAM - Profile 1 (HighRAM_HighVRAM)
-    *"RTX 50"* | *"5090"* | *"A100"* | *"A800"* | *"H100"* | *"H800"*)
-        if [ "$vram_gb" -ge 24 ]; then
-            echo "1" # HighRAM_HighVRAM - fastest for short videos
-        else
-            echo "2" # HighRAM_LowVRAM - most versatile
-        fi
-        ;;
-    # High-end consumer GPUs (RTX 3090/4090) - Profile 1 or 3
-    *"RTX 40"* | *"4090"* | *"RTX 30"* | *"3090"*)
-        if [ "$vram_gb" -ge 24 ]; then
-            echo "3" # LowRAM_HighVRAM - good for limited RAM systems
-        else
-            echo "2" # HighRAM_LowVRAM - most versatile
-        fi
-        ;;
-    # Mid-range GPUs (RTX 3070/3080/4070/4080) - Profile 2 recommended
-    *"4080"* | *"4070"* | *"3080"* | *"3070"* | *"RTX 20"* | *"2080"* | *"2070"*)
-        if [ "$vram_gb" -ge 12 ]; then
-            echo "2" # HighRAM_LowVRAM - recommended for these GPUs
-        else
-            echo "4" # LowRAM_LowVRAM - default for little VRAM
-        fi
-        ;;
-    # Lower-end GPUs with 6-12GB VRAM - Profile 4 or 5
-    *"4060"* | *"3060"* | *"2060"* | *"GTX 16"* | *"1660"* | *"1650"*)
-        if [ "$vram_gb" -ge 10 ]; then
-            echo "4" # LowRAM_LowVRAM - default
-        else
-            echo "5" # VerylowRAM_LowVRAM - fail safe
-        fi
-        ;;
-    # Older/lower VRAM GPUs - Profile 5 (fail safe)
-    *"GTX 10"* | *"1080"* | *"1070"* | *"1060"* | *"Tesla"*)
-        echo "5" # VerylowRAM_LowVRAM - fail safe
-        ;;
-    *)
-        echo "4" # LowRAM_LowVRAM - default fallback
-        ;;
-    esac
-}
-
-# ───────────────────────── main ────────────────────────────
-
-echo "🔧 NVIDIA CUDA Setup Check:"
-
-# NVIDIA driver check
-if command -v nvidia-smi &>/dev/null; then
-    DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader,nounits | head -1)
-    echo "✅ NVIDIA Driver: $DRIVER_VERSION"
-    
-    # Quick CUDA 12.4 compatibility check
-    if [[ "$DRIVER_VERSION" =~ ^([0-9]+) ]]; then
-        MAJOR=${BASH_REMATCH[1]}
-        if [ "$MAJOR" -lt 520 ]; then
-            echo "⚠️  Driver $DRIVER_VERSION may not support CUDA 12.4 (need 520+)"
-        fi
-    fi
-else
-    echo "❌ nvidia-smi not found - no NVIDIA drivers"
-    exit 1
-fi
-
-GPU_NAME=$(detect_gpu_name)
-echo "🔍 Detected GPU: $GPU_NAME"
-
-VRAM_GB=$(get_gpu_vram)
-echo "🧠 Detected VRAM: ${VRAM_GB}GB"
-
-CUDA_ARCH=$(map_gpu_to_arch "$GPU_NAME")
-echo "🚀 Using CUDA architecture: $CUDA_ARCH"
-
-PROFILE=$(map_gpu_to_profile "$GPU_NAME" "$VRAM_GB")
-echo "⚙️  Selected profile: $PROFILE"
-
-docker build --build-arg CUDA_ARCHITECTURES="$CUDA_ARCH" -t deepbeepmeep/wan2gp .
-
-# sudo helper for later commands
-if [ "$EUID" -ne 0 ]; then
-    SUDO='sudo'
-else
-    SUDO=''
-fi
-
-# Ensure NVIDIA runtime is available
-if ! docker info 2>/dev/null | grep -q 'Runtimes:.*nvidia'; then
-    echo "⚠️  NVIDIA Docker runtime not found. Installing nvidia-docker2…"
-    $SUDO apt-get update
-    $SUDO apt-get install -y curl ca-certificates gnupg
-    curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | $SUDO apt-key add -
-    distribution=$(
-        . /etc/os-release
-        echo $ID$VERSION_ID
-    )
-    curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list |
-        $SUDO tee /etc/apt/sources.list.d/nvidia-docker.list
-    $SUDO apt-get update
-    $SUDO apt-get install -y nvidia-docker2
-    echo "🔄 Restarting Docker service…"
-    $SUDO systemctl restart docker
-    echo "✅ NVIDIA Docker runtime installed."
-else
-    echo "✅ NVIDIA Docker runtime found."
-fi
-
-# Quick NVIDIA runtime test
-echo "🧪 Testing NVIDIA runtime..."
-if timeout 15s docker run --rm --gpus all --runtime=nvidia nvidia/cuda:12.4-runtime-ubuntu22.04 nvidia-smi >/dev/null 2>&1; then
-    echo "✅ NVIDIA runtime working"
-else
-    echo "❌ NVIDIA runtime test failed - check driver/runtime compatibility"
-fi
-
-# Prepare cache dirs & volume mounts
-cache_dirs=(numba matplotlib huggingface torch)
-cache_mounts=()
-for d in "${cache_dirs[@]}"; do
-    mkdir -p "$HOME/.cache/$d"
-    chmod 700 "$HOME/.cache/$d"
-    cache_mounts+=(-v "$HOME/.cache/$d:/home/user/.cache/$d")
-done
-
-echo "🔧 Optimization settings:"
-echo "   Profile: $PROFILE"
-
-# Run the container
-docker run --rm -it \
-    --name wan2gp \
-    --gpus all \
-    --runtime=nvidia \
-    -p 7860:7860 \
-    -v "$(pwd):/workspace" \
-    "${cache_mounts[@]}" \
-    deepbeepmeep/wan2gp \
-    --profile "$PROFILE" \
-    --attention sage \
-    --compile \
-    --perc-reserved-mem-max 1
diff --git a/run-docker-cuda.sh b/run-docker-cuda.sh
new file mode 100755
index 000000000..5a91317df
--- /dev/null
+++ b/run-docker-cuda.sh
@@ -0,0 +1,273 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# ───────────────────────── Package Management Logic ─────────────────────────
+
+# Detect package manager intelligently based on command availability
+detect_package_manager() {
+    if command -v apt-get &>/dev/null; then
+        echo "apt"
+    elif command -v dnf &>/dev/null; then
+        echo "dnf"
+    elif command -v pacman &>/dev/null; then
+        echo "pacman"
+    elif command -v zypper &>/dev/null; then
+        echo "zypper"
+    else
+        echo "unknown"
+    fi
+}
+
+PKG_MANAGER=$(detect_package_manager)
+
+if [ "$PKG_MANAGER" = "unknown" ]; then
+    echo "❌ Error: No supported package manager (apt, dnf, pacman, zypper) detected."
+    exit 1
+fi
+
+# Helper to run sudo if not root
+if [ "$EUID" -ne 0 ]; then
+    SUDO='sudo'
+else
+    SUDO=''
+fi
+
+pkg_update() {
+    echo "🔄 Updating package databases using $PKG_MANAGER..."
+    case "$PKG_MANAGER" in
+        apt)    $SUDO apt-get update -y ;;
+        dnf)    $SUDO dnf check-update || true ;; # dnf check-update returns non-zero if updates exist
+        pacman) $SUDO pacman -Sy ;;
+        zypper) $SUDO zypper refresh ;;
+    esac
+}
+
+pkg_install() {
+    local pkg="$1"
+    echo "📦 Installing $pkg using $PKG_MANAGER..."
+    case "$PKG_MANAGER" in
+        apt)    $SUDO apt-get install -y "$pkg" ;;
+        dnf)    $SUDO dnf install -y "$pkg" ;;
+        pacman) $SUDO pacman -S --noconfirm "$pkg" ;;
+        zypper) $SUDO zypper install -y "$pkg" ;;
+    esac
+}
+
+# ───────────────────────── helpers ─────────────────────────
+
+install_nvidia_smi_if_missing() {
+    if command -v nvidia-smi &>/dev/null; then
+        return
+    fi
+
+    echo "⚠️ nvidia-smi not found. Installing nvidia-utils..."
+
+    # Package naming varies by distro
+    case "$PKG_MANAGER" in
+        apt)    pkg_install "nvidia-utils-535" || pkg_install "nvidia-utils" ;;
+        dnf)    pkg_install "nvidia-driver-latest" ;; # Common name for RHEL/Fedora setups
+        pacman) pkg_install "nvidia-utils" ;;
+        zypper) pkg_install "nvidia-compute-utils" ;;
+    esac
+
+    if ! command -v nvidia-smi &>/dev/null; then
+        echo "❌ Failed to install nvidia-smi. Cannot detect GPU architecture."
+        exit 1
+    fi
+    echo "✅ nvidia-smi installed successfully."
+}
+
+detect_gpu_name() {
+    install_nvidia_smi_if_missing
+    nvidia-smi --query-gpu=name --format=csv,noheader,nounits | head -1
+}
+
+map_gpu_to_arch() {
+    local name="$1"
+    case "$name" in
+    *"RTX 50"* | *"5090"* | *"5080"* | *"5070"*) echo "12.0" ;;
+    *"H100"* | *"H800"*) echo "9.0" ;;
+    *"RTX 40"* | *"4090"* | *"4080"* | *"4070"* | *"4060"*) echo "8.9" ;;
+    *"RTX 30"* | *"3090"* | *"3080"* | *"3070"* | *"3060"*) echo "8.6" ;;
+    *"A100"* | *"A800"* | *"A40"*) echo "8.0" ;;
+    *"RTX 20"* | *"2080"* | *"2070"* | *"2060"* | *"Titan RTX"*) echo "7.5" ;;
+    *"GTX 16"* | *"1660"* | *"1650"*) echo "7.5" ;;
+    *"Tesla V100"*) echo "7.0" ;;
+    *"GTX 10"* | *"1080"* | *"1070"* | *"1060"* | *"Tesla P100"*) echo "6.1" ;;
+    *"Tesla K80"* | *"Tesla K40"*) echo "3.7" ;;
+    *)
+        echo "❌ Unknown GPU model: $name"
+        echo "Please update the map_gpu_to_arch function for this model."
+        exit 1
+        ;;
+    esac
+}
+
+get_gpu_vram() {
+    install_nvidia_smi_if_missing
+    local vram_mb=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits | head -1)
+    echo $((vram_mb / 1024))
+}
+
+map_gpu_to_profile() {
+    local name="$1"
+    local vram_gb="$2"
+
+    case "$name" in
+    *"RTX 50"* | *"5090"* | *"A100"* | *"A800"* | *"H100"* | *"H800"*)
+        if [ "$vram_gb" -ge 24 ]; then echo "1"; else echo "2"; fi ;;
+    *"RTX 40"* | *"4090"* | *"RTX 30"* | *"3090"*)
+        if [ "$vram_gb" -ge 24 ]; then echo "3"; else echo "2"; fi ;;
+    *"4080"* | *"4070"* | *"3080"* | *"3070"* | *"RTX 20"* | *"2080"* | *"2070"*)
+        if [ "$vram_gb" -ge 12 ]; then echo "2"; else echo "4"; fi ;;
+    *"4060"* | *"3060"* | *"2060"* | *"GTX 16"* | *"1660"* | *"1650"*)
+        if [ "$vram_gb" -ge 10 ]; then echo "4"; else echo "5"; fi ;;
+    *"GTX 10"* | *"1080"* | *"1070"* | *"1060"* | *"Tesla"*)
+        echo "5" ;;
+    *)
+        echo "4" ;;
+    esac
+}
+
+# ───────────────────────── main ────────────────────────────
+
+echo "🔧 NVIDIA CUDA Setup Check (Detected Manager: $PKG_MANAGER):"
+
+if command -v nvidia-smi &>/dev/null; then
+    DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader,nounits | head -1)
+    echo "✅ NVIDIA Driver: $DRIVER_VERSION"
+
+    if [[ "$DRIVER_VERSION" =~ ^([0-9]+) ]]; then
+        MAJOR=${BASH_REMATCH[1]}
+        if [ "$MAJOR" -lt 520 ]; then
+            echo "⚠️ Driver $DRIVER_VERSION may not support CUDA 12.4 (need 520+)"
+        fi
+    fi
+else
+    echo "❌ nvidia-smi not found - no NVIDIA drivers"
+    exit 1
+fi
+
+GPU_NAME=$(detect_gpu_name)
+echo "🔍 Detected GPU: $GPU_NAME"
+
+VRAM_GB=$(get_gpu_vram)
+echo "🧠 Detected VRAM: ${VRAM_GB}GB"
+
+CUDA_ARCH=$(map_gpu_to_arch "$GPU_NAME")
+echo "🚀 Using CUDA architecture: $CUDA_ARCH"
+
+PROFILE=$(map_gpu_to_profile "$GPU_NAME" "$VRAM_GB")
+echo "⚙️  Selected profile: $PROFILE"
+
+# Check if the image already exists locally
+if ! docker image inspect deepbeepmeep/wan2gp > /dev/null 2>&1; then
+    echo "🏗️  Image not found. Building 'deepbeepmeep/wan2gp'..."
+    docker build --build-arg CUDA_ARCHITECTURES="$CUDA_ARCH" -t deepbeepmeep/wan2gp .
+else
+    echo "✅ Image 'deepbeepmeep/wan2gp' already exists locally. Skipping build."
+fi
+
+# Ensure NVIDIA runtime is available
+if ! docker info 2>/dev/null | grep -q 'Runtimes:.*nvidia'; then
+    echo "⚠️  NVIDIA Docker runtime not found. Installing..."
+
+    case "$PKG_MANAGER" in
+        apt)
+            pkg_update
+            pkg_install "curl ca-certificates gnupg"
+            # Note: The original repo logic for Debian is left here as it's specific to apt
+            distribution=$(. /etc/os-release && echo $ID$VERSION_ID)
+            curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | $SUDO tee /etc/apt/sources.list.d/nvidia-docker.list
+            pkg_update
+            pkg_install "nvidia-docker2"
+            ;;
+        dnf)
+            # RHEL/CentOS/Fedora approach (Assumes NVIDIA repos are configured or uses standard toolkit name)
+            pkg_install "nvidia-container-toolkit"
+            ;;
+        pacman)
+            # Arch Linux approach
+            pkg_install "nvidia-container-toolkit"
+            ;;
+        zypper)
+            # SUSE approach
+            pkg_install "nvidia-container-toolkit"
+            ;;
+    esac
+
+    if [ "$PKG_MANAGER" != "apt" ]; then
+        # Configure Docker to use the NVIDIA runtime
+        $SUDO nvidia-ctk runtime configure --runtime=docker
+        echo "🔄 Restarting Docker service..."
+        $SUDO systemctl restart docker
+    fi
+    echo "✅ NVIDIA Docker runtime setup attempted."
+else
+    echo "✅ NVIDIA Docker runtime found."
+fi
+
+# Quick NVIDIA runtime test
+echo "🧪 Testing NVIDIA runtime..."
+if timeout 15s docker run --rm --gpus all --runtime=nvidia nvidia/cuda:12.8.1-runtime-ubuntu22.04 nvidia-smi >/dev/null 2>&1; then
+    echo "✅ NVIDIA runtime working"
+else
+    echo "❌ NVIDIA runtime test failed - check driver/runtime compatibility"
+fi
+
+# Prepare cache dirs & volume mounts
+cache_dirs=(numba matplotlib huggingface torch)
+cache_mounts=()
+for d in "${cache_dirs[@]}"; do
+    mkdir -p "/tmp/$d"
+    chmod 700 "/tmp/$d"
+    cache_mounts+=(-v "/tmp/$d:/home/user/.cache/$d")
+done
+
+# ───────────────────────── Connectivity Check ─────────────────────────
+
+HF_ENV_FLAG=""
+echo "🌐 Checking HuggingFace connectivity..."
+if curl -Is https://huggingface.co --connect-timeout 3 > /dev/null; then
+    echo "✅ HuggingFace is reachable. Using default endpoint."
+else
+    echo "⚠️ HuggingFace unreachable. Trying HF-Mirror..."
+    if curl -Is https://hf-mirror.com --connect-timeout 3 > /dev/null; then
+        echo "✅ HF-Mirror is reachable. Switching to HF-Mirror."
+        HF_ENV_FLAG="-e HF_ENDPOINT=https://hf-mirror.com"
+    else
+        echo "❌ Both HuggingFace and HF-Mirror are unreachable. Maybe offline?"
+        # Switch to HF-Mirror anyways just in case
+        HF_ENV_FLAG="-e HF_ENDPOINT=https://hf-mirror.com"
+    fi
+fi
+
+# ───────────────────────── Run Container ──────────────────────────────
+
+echo "🔧 Optimization settings:"
+echo "   Profile: $PROFILE"
+echo "   CUDA Arch: $CUDA_ARCH"
+
+ATTENTION_FLAG="--attention sdpa"
+COMPILE_FLAG=""
+if [[ "$CUDA_ARCH" == "7.0" || "$CUDA_ARCH" == "6.1" || "$CUDA_ARCH" == "3.7" ]]; then
+    echo "ℹ️ Using sdpa attention instead of sage and skipping --compile flag (not recommended for your CUDA Arch)"
+else
+    ATTENTION_FLAG="--attention sage"
+    COMPILE_FLAG="--compile"
+fi
+
+# Run the container
+docker run --rm -it \
+    --name wan2gp \
+    --gpus all \
+    --runtime=nvidia \
+    -p 7860:7860 \
+    -v "$(pwd):/workspace" \
+    "${cache_mounts[@]}" \
+    "$HF_ENV_FLAG" \
+    deepbeepmeep/wan2gp \
+    --profile "$PROFILE" \
+    $ATTENTION_FLAG \
+    $COMPILE_FLAG \
+    --perc-reserved-mem-max 1