【Azure】ローカル環境でLamaCleanerを構築してみた

$rg_name = "rg-test-001"
$location = "japaneast"
$vnet_name = "vnet-test-001"
$vnet_address = "10.0.0.0/24"
$subnet_name = "subnet-test-001"
$subnet_address ="10.0.0.0/26"
$nsg_subnet_name = "nsg-subnet-test-001"
$nic_vm_name = "nic-vm-test-001"
$vm_name = "vm-test-001"
$vm_image_urn = "MicrosoftWindowsServer:WindowsServer:2025-datacenter-g2:26100.7462.251206"
$vm_size = "Standard_NC4as_T4_v3"
$vm_authtype = "password"
$vm_adminname = "xxxxxxxx"

 # リソースグループ
az group create `
 -l $location `
 -g $rg_name

 # 仮想ネットワーク
az network vnet create `
 -n $vnet_name `
 -g $rg_name `
 -l $location `
 --address-prefix $vnet_address `
 --subnet-name $subnet_name `
 --subnet-prefix $subnet_address

 # NSG(サブネット用)
az network nsg create `
 -n $nsg_subnet_name `
 -g $rg_name

 # NSGをサブネットと連携
az network vnet subnet update `
 -g $rg_name `
 -n $subnet_name `
 --vnet-name $vnet_name `
 --network-security-group $nsg_subnet_name

 # ネットワークインターフェース
az network nic create `
 -n $nic_vm_name `
 -g $rg_name `
 --vnet-name $vnet_name `
 --subnet $subnet_name

 # 仮想マシン
az vm create `
 -n $vm_name `
 -g $rg_name `
 --nics $nic_vm_name `
 --image $vm_image_urn `
 --size $vm_size `
 --os-disk-size-gb 256 `
 --enable-secure-boot "false" `
 --security-type "Standard" `
 --authentication-type $vm_authtype `
 --admin-username $vm_adminname

 # UseStandardSecurityType の登録
az feature register --namespace Microsoft.Compute --name UseStandardSecurityType

 # 登録状況の確認（Registered になっていればOK）
az feature show --namespace Microsoft.Compute --name UseStandardSecurityType --query properties.state -o tsv

PS C:> nvidia-smi
nvidia-smi : The term 'nvidia-smi' is not recognized as the name of a cmdlet, function, script file, or operable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
At line:1 char:1
+ nvidia-smi
+ ~~~~~~~~~~
    + CategoryInfo          : ObjectNotFound: (nvidia-smi:String) [], CommandNotFoundException
    + FullyQualifiedErrorId : CommandNotFoundExceptionCategoryInfo : ObjectNotFound: (nvidia-smi:String) [], CommandNotFoundException

PS C:>

PS C:> nvidia-smi
Wed Jan 7 13:40:10 2026
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 573.76                 Driver Version: 573.76         CUDA Version: 12.8     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  Tesla T4                     WDDM  |   00000001:00:00.0 Off |                  Off |
| N/A   35C    P8             14W /   70W |     218MiB /  16384MiB |      2%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A            1156    C+G   C:\Windows\System32\LogonUI.exe       N/A      |
|    0   N/A  N/A            1164    C+G   C:\Windows\System32\dwm.exe           N/A      |
|    0   N/A  N/A            2504    C+G   C:\Windows\System32\WUDFHost.exe      N/A      |
|    0   N/A  N/A            4584    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
|    0   N/A  N/A            5144    C+G   C:\Windows\System32\dwm.exe           N/A      |
|    0   N/A  N/A            6912    C+G   C:\Windows\explorer.exe               N/A      |
|    0   N/A  N/A            6932    C+G   ...indows\System32\ShellHost.exe      N/A      |
|    0   N/A  N/A            6988    C+G   ...p\Systray\AzureArcSysTray.exe      N/A      |
|    0   N/A  N/A            7312    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
|    0   N/A  N/A            7352    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
|    0   N/A  N/A            7360    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+-----------------------------------------------------------------------------------------+

$UserName = $env:UserName

# デスクトップに移動
cd /Users/$UserName/Desktop

# フォルダの作成と移動
mkdir LamaCleaner
cd ./LamaCleaner

# 仮想環境の作成
python -m venv venv_lama

# 仮想環境のアクティベート
venv_lama\Scripts\Activate.ps1

# pipコマンドのインストール
python -m pip install --upgrade pip setuptools

pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu121

 # LamaCleanerのインストール
pip install lama-cleaner

pip uninstall huggingface_hub -y
pip install huggingface_hub==0.13.4

mkdir C:\Users\hogeuser.cache\torch\hub\checkpoints\

lama-cleaner --model=lama --device=cuda --port=8080

$UserName = $env:UserName

 # 仮想環境用のフォルダに移動
cd /Users/$UserName/Desktop/LamaCleaner

 # 仮想環境のアクティベート
venv_lama\Scripts\Activate.ps1

 # LamaCleanerの起動
lama-cleaner --model=lama --device=cuda --port=8080

 # CPUを利用してLamaCleanerを起動
lama-cleaner --model=lama --device=cpu --port=8080