StableDef

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私的AI研究会 > StableDef

Stable-Diffusion †

　画像生成AI「Stable-Diffusion」を試してみる

インストールと環境設定 †

　OpenVINO™ 版の「Stable-Diffusion」https://github.com/bes-dev/stable_diffusion.openvino を試す
　プロジェクトは「workspace_py38/」直下に作成する

プロジェクトパッケージを利用の場合 †

• Windows
  update_20221116.zip (16MB) <プロジェクト一式>
  ダウンロードしたパッケージを解凍し、「anaconda_win/」フォルダ内に配置する
  
• Linux
  update_20221116.tar.gz (16MB) <プロジェクト一式>
  ダウンロードしたパッケージを解凍し、ホームディレクトリ「~/」の直下に配置する
  

　次項へ → OpenVINO™ ランタイムと必要パッケージのインストール

「Stable-Diffusion」最新版のダウンロード †

• プロジェクト・ディレクトリを作成しディレクトリ内にダウンロード/展開する
  

  $ mkdir stable_diffusion
  $ cd stable_diffusion/
  $ wget https://github.com/bes-dev/stable_diffusion.openvino/archive/refs/heads/master.zip
  $ unzip master.zip

  ▼　詳細ログ（Linuxの例）
  ▲　詳細ログ（Linuxの例）

  $ mkdir stable_diffusion
  $ cd stable_diffusion/
  $ wget https://github.com/bes-dev/stable_diffusion.openvino/archive/refs/heads/master.zip
  --2022-11-13 16:10:37--  https://github.com/bes-dev/stable_diffusion.openvino/archive/refs/heads/master.zip
  github.com (github.com) をDNSに問いあわせています... 20.27.177.113
  github.com (github.com)|20.27.177.113|:443 に接続しています... 接続しました。
  HTTP による接続要求を送信しました、応答を待っています... 302 Found
  場所: https://codeload.github.com/bes-dev/stable_diffusion.openvino/zip/refs/heads/master [続く]
  --2022-11-13 16:10:37--  https://codeload.github.com/bes-dev/stable_diffusion.openvino/zip/refs/heads/master
  codeload.github.com (codeload.github.com) をDNSに問いあわせています... 20.27.177.114
  codeload.github.com (codeload.github.com)|20.27.177.114|:443 に接続しています... 接続しました。
  HTTP による接続要求を送信しました、応答を待っています... 200 OK
  長さ: 2714608 (2.6M) [application/zip]
  `master.zip' に保存中
  
  master.zip          100%[===================>]   2.59M  --.-KB/s    in 0.1s    
  
  2022-11-13 16:10:37 (19.2 MB/s) - `master.zip' へ保存完了 [2714608/2714608]
  
  $ unzip master.zip
  Archive:  master.zip
  72d3ad67f078b25bc5ae191f6e49078cebd1f791
     creating: stable_diffusion.openvino-master/
    inflating: stable_diffusion.openvino-master/.gitignore  
    inflating: stable_diffusion.openvino-master/Dockerfile  
    inflating: stable_diffusion.openvino-master/LICENSE  
    inflating: stable_diffusion.openvino-master/LICENSE_MODEL  
    inflating: stable_diffusion.openvino-master/README.md  
     creating: stable_diffusion.openvino-master/data/
    inflating: stable_diffusion.openvino-master/data/demo_web.png  
    inflating: stable_diffusion.openvino-master/data/input.png  
    inflating: stable_diffusion.openvino-master/data/mask.png  
    inflating: stable_diffusion.openvino-master/data/title.png  
    inflating: stable_diffusion.openvino-master/demo.py  
    inflating: stable_diffusion.openvino-master/demo_web.py  
    inflating: stable_diffusion.openvino-master/docker-compose.yaml  
    inflating: stable_diffusion.openvino-master/requirements.txt  
    inflating: stable_diffusion.openvino-master/stable_diffusion_engine.py

• 「stable_diffusion.openvino-master/」フォルダ内の実行に必要なファイル※ をプロジェクト直下にコピー(または移動)する
  

  stable_diffusion/
   ├── stable_diffusion.openvino-master
   ├── venv_openvino
   ├── master.zip
  
   ├── data                       ※
   ├── requirements.txt           ※
   ├── demo.py                    ※
   ├── demo_web.py                ※
   └── stable_diffusion_engine.py ※

OpenVINO™ ランタイムと必要パッケージのインストール †

• Anaconda を最新版に更新
  

  $ conda update -n base -c defaults conda

  ▼　詳細ログ（Linuxの例）
  ▲　詳細ログ（Linuxの例）

  $ conda update -n base -c defaults conda
  Collecting package metadata (current_repodata.json): done
  Solving environment: done
  
  ## Package Plan ##
  
    environment location: /home/mizutu/anaconda3
  
    added / updated specs:
      - conda
  
  
  The following packages will be downloaded:
  
      package                    |            build
      ---------------------------|-----------------
      conda-22.9.0               |   py38h06a4308_0         884 KB
      conda-content-trust-0.1.3  |   py38h06a4308_0          70 KB
      conda-token-0.4.0          |     pyhd3eb1b0_0          13 KB
      ------------------------------------------------------------
                                             Total:         967 KB
  
  The following packages will be UPDATED:
  
    conda                               4.13.0-py38h06a4308_0 --> 22.9.0-py38h06a4308_0
    conda-content-tru~ pkgs/main/noarch::conda-content-trust~ --> pkgs/main/linux-64::conda-content-trust-0.1.3-py38h06a4308_0
    conda-token                            0.3.0-pyhd3eb1b0_0 --> 0.4.0-pyhd3eb1b0_0
  
  
  Proceed ([y]/n)? y
  
  
  Downloading and Extracting Packages
  conda-token-0.4.0    | 13 KB     | ##################################### | 100% 
  conda-22.9.0         | 884 KB    | ##################################### | 100% 
  conda-content-trust- | 70 KB     | ##################################### | 100% 
  Preparing transaction: done
  Verifying transaction: done
  Executing transaction: done

• Anaconda に新しく仮想環境を作成してインストールする
  

  $ cd stable_diffusion
  $ conda create -n py38 python=3.8
  $ conda activate py38
  (py38) $ python -m pip install --upgrade pip
  (py38) $ pip install openvino==2022.1.0
  (py38) $ pip install -r requirements.txt

  ▼　詳細ログ（Linuxの例）
  ▲　詳細ログ（Linuxの例）

  $ cd stable_diffusion
  
  $ conda create -n py38 python=3.8
  Collecting package metadata (current_repodata.json): done
  Solving environment: done
  
  ## Package Plan ##
  
    environment location: /home/mizutu/anaconda3/envs/py38
  
    added / updated specs:
      - python=3.8
  
  
  The following packages will be downloaded:
  
      package                    |            build
      ---------------------------|-----------------
      ca-certificates-2022.10.11 |       h06a4308_0         124 KB
      certifi-2022.9.24          |   py38h06a4308_0         154 KB
      libffi-3.4.2               |       h295c915_4         124 KB
      openssl-1.1.1s             |       h7f8727e_0         3.6 MB
      pip-22.2.2                 |   py38h06a4308_0         2.3 MB
      python-3.8.15              |       h3fd9d12_0        20.1 MB
      readline-8.2               |       h5eee18b_0         357 KB
      setuptools-65.5.0          |   py38h06a4308_0         1.1 MB
      sqlite-3.39.3              |       h5082296_0         1.1 MB
      xz-5.2.6                   |       h5eee18b_0         394 KB
      zlib-1.2.13                |       h5eee18b_0         103 KB
      ------------------------------------------------------------
                                             Total:        29.4 MB
  
  The following NEW packages will be INSTALLED:
  
    _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main None
    _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu None
    ca-certificates    pkgs/main/linux-64::ca-certificates-2022.10.11-h06a4308_0 None
    certifi            pkgs/main/linux-64::certifi-2022.9.24-py38h06a4308_0 None
    ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.38-h1181459_1 None
    libffi             pkgs/main/linux-64::libffi-3.4.2-h295c915_4 None
    libgcc-ng          pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 None
    libgomp            pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 None
    libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 None
    ncurses            pkgs/main/linux-64::ncurses-6.3-h5eee18b_3 None
    openssl            pkgs/main/linux-64::openssl-1.1.1s-h7f8727e_0 None
    pip                pkgs/main/linux-64::pip-22.2.2-py38h06a4308_0 None
    python             pkgs/main/linux-64::python-3.8.15-h3fd9d12_0 None
    readline           pkgs/main/linux-64::readline-8.2-h5eee18b_0 None
    setuptools         pkgs/main/linux-64::setuptools-65.5.0-py38h06a4308_0 None
    sqlite             pkgs/main/linux-64::sqlite-3.39.3-h5082296_0 None
    tk                 pkgs/main/linux-64::tk-8.6.12-h1ccaba5_0 None
    wheel              pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0 None
    xz                 pkgs/main/linux-64::xz-5.2.6-h5eee18b_0 None
    zlib               pkgs/main/linux-64::zlib-1.2.13-h5eee18b_0 None
  
  
  Proceed ([y]/n)? y
  
  
  Downloading and Extracting Packages
  certifi-2022.9.24    | 154 KB    | ##################################### | 100% 
  openssl-1.1.1s       | 3.6 MB    | ##################################### | 100% 
  xz-5.2.6             | 394 KB    | ##################################### | 100% 
  setuptools-65.5.0    | 1.1 MB    | ##################################### | 100% 
  ca-certificates-2022 | 124 KB    | ##################################### | 100% 
  pip-22.2.2           | 2.3 MB    | ##################################### | 100% 
  libffi-3.4.2         | 124 KB    | ##################################### | 100% 
  sqlite-3.39.3        | 1.1 MB    | ##################################### | 100% 
  zlib-1.2.13          | 103 KB    | ##################################### | 100% 
  python-3.8.15        | 20.1 MB   | ##################################### | 100% 
  readline-8.2         | 357 KB    | ##################################### | 100% 
  Preparing transaction: done
  Verifying transaction: done
  Executing transaction: done
  #
  # To activate this environment, use
  #
  #     $ conda activate py38
  #
  # To deactivate an active environment, use
  #
  #     $ conda deactivate
  
  $ conda activate py38
  (py38) $ python -m pip install --upgrade pip
  Requirement already satisfied: pip in /home/mizutu/anaconda3/envs/py38/lib/python3.8/site-packages (22.2.2)
  Collecting pip
    Using cached pip-22.3.1-py3-none-any.whl (2.1 MB)
  Installing collected packages: pip
    Attempting uninstall: pip
      Found existing installation: pip 22.2.2
      Uninstalling pip-22.2.2:
        Successfully uninstalled pip-22.2.2
  Successfully installed pip-22.3.1
  
  (py38) $ pip install openvino==2022.1.0
  Collecting openvino==2022.1.0
    Using cached openvino-2022.1.0-7019-cp38-cp38-manylinux_2_27_x86_64.whl (26.1 MB)
  Collecting numpy<1.20,>=1.16.6
    Using cached numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 MB)
  Installing collected packages: numpy, openvino
  ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
  torchvision 0.10.0+cpu requires pillow>=5.3.0, which is not installed.
  Successfully installed numpy-1.19.5 openvino-2022.1.0
  
  (py38) mizutu@ubuntu-vbox:~/stable_diffusion$ pip install -r requirements.txt
  Requirement already satisfied: numpy==1.19.5 in /home/mizutu/anaconda3/envs/py38/lib/python3.8/site-packages (from -r requirements.txt (line 1)) (1.19.5)
  Collecting opencv-python==4.5.5.64
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  Collecting transformers==4.16.2
    Downloading transformers-4.16.2-py3-none-any.whl (3.5 MB)
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  Requirement already satisfied: openvino==2022.1.0 in /home/mizutu/anaconda3/envs/py38/lib/python3.8/site-packages (from -r requirements.txt (line 6)) (2022.1.0)
  Collecting huggingface_hub==0.9.0
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  Collecting scipy==1.9.0
    Downloading scipy-1.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.4 MB)
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  Collecting streamlit==1.12.0
    Downloading streamlit-1.12.0-py2.py3-none-any.whl (9.1 MB)
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  Collecting watchdog==2.1.9
    Downloading watchdog-2.1.9-py3-none-manylinux2014_x86_64.whl (78 kB)
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  Collecting ftfy==6.1.1
    Downloading ftfy-6.1.1-py3-none-any.whl (53 kB)
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  Collecting packaging>=20.0
    Downloading packaging-21.3-py3-none-any.whl (40 kB)
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  Requirement already satisfied: pyyaml>=5.1 in /home/mizutu/.local/lib/python3.8/site-packages (from transformers==4.16.2->-r requirements.txt (line 3)) (5.4.1)
  Collecting requests
    Downloading requests-2.28.1-py3-none-any.whl (62 kB)
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    Downloading sacremoses-0.0.53.tar.gz (880 kB)
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    Preparing metadata (setup.py) ... done
  Collecting filelock
    Downloading filelock-3.8.0-py3-none-any.whl (10 kB)
  Collecting regex!=2019.12.17
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  Collecting tokenizers!=0.11.3,>=0.10.1
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  Collecting Pillow
    Using cached Pillow-9.3.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.3 MB)
  Requirement already satisfied: torch>=1.4 in /home/mizutu/.local/lib/python3.8/site-packages (from diffusers==0.2.4->-r requirements.txt (line 4)) (1.9.0+cpu)
  Collecting importlib-metadata
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    Preparing metadata (setup.py) ... done
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  Building wheels for collected packages: validators, sacremoses
    Building wheel for validators (setup.py) ... done
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  Successfully built validators sacremoses
  Installing collected packages: wcwidth, tokenizers, pytz, commonmark, zipp, watchdog, urllib3, tzdata, typing-extensions, tqdm, tornado, toolz, toml, smmap, six, semver, scipy, regex, pyrsistent, pyparsing, pympler, pygments, pyarrow, protobuf, pkgutil-resolve-name, Pillow, opencv-python, MarkupSafe, joblib, idna, ftfy, filelock, entrypoints, decorator, click, charset-normalizer, cachetools, blinker, backports.zoneinfo, attrs, validators, sacremoses, rich, requests, pytz-deprecation-shim, python-dateutil, packaging, jinja2, importlib-resources, importlib-metadata, gitdb, tzlocal, pydeck, pandas, jsonschema, huggingface_hub, gitpython, transformers, diffusers, altair, streamlit
    Attempting uninstall: scipy
      Found existing installation: scipy 1.7.0
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  (py38) $ pip install -r requirements.txt
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  Collecting sacremoses
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    Preparing metadata (setup.py) ... done
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  Building wheels for collected packages: validators, sacremoses
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    Stored in directory: c:\users\izuts\appdata\local\pip\cache\wheels\19\09\72\3eb74d236bb48bd0f3c6c3c83e4e0c5bbfcbcad7c6c3539db8
    Building wheel for sacremoses (setup.py) ... done
    Created wheel for sacremoses: filename=sacremoses-0.0.53-py3-none-any.whl size=895241 sha256=ba8dea7ea369b101c76a3e8beaee83a359ba1c8e0abc0045be515d82897a03e6
    Stored in directory: c:\users\izuts\appdata\local\pip\cache\wheels\82\ab\9b\c15899bf659ba74f623ac776e861cf2eb8608c1825ddec66a4
  Successfully built validators sacremoses
  Installing collected packages: wcwidth, tokenizers, pytz, commonmark, zipp, watchdog, urllib3, tzdata, typing-extensions, tqdm, tornado, toolz, toml, smmap, semver, scipy, regex, pyyaml, python-dateutil, pyrsistent, pyparsing, pympler, pygments, pyarrow, protobuf, pkgutil-resolve-name, Pillow, opencv-python, MarkupSafe, joblib, idna, ftfy, filelock, entrypoints, decorator, click, charset-normalizer, cachetools, blinker, backports.zoneinfo, attrs, validators, torch, sacremoses, rich, requests, pytz-deprecation-shim, pandas, packaging, jinja2, importlib-resources, importlib-metadata, gitdb, tzlocal, pydeck, jsonschema, huggingface_hub, gitpython, transformers, diffusers, altair, streamlit
  Successfully installed MarkupSafe-2.1.1 Pillow-9.3.0 altair-4.2.0 attrs-22.1.0 backports.zoneinfo-0.2.1 blinker-1.5 cachetools-5.2.0 charset-normalizer-2.1.1 click-8.1.3 commonmark-0.9.1 decorator-5.1.1 diffusers-0.2.4 entrypoints-0.4 filelock-3.8.0 ftfy-6.1.1 gitdb-4.0.9 gitpython-3.1.29 huggingface_hub-0.9.0 idna-3.4 importlib-metadata-5.0.0 importlib-resources-5.10.0 jinja2-3.1.2 joblib-1.2.0 jsonschema-4.17.0 opencv-python-4.5.5.64 packaging-21.3 pandas-1.4.4 pkgutil-resolve-name-1.3.10 protobuf-3.20.3 pyarrow-10.0.0 pydeck-0.8.0 pygments-2.13.0 pympler-1.0.1 pyparsing-3.0.9 pyrsistent-0.19.2 python-dateutil-2.8.2 pytz-2022.6 pytz-deprecation-shim-0.1.0.post0 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 rich-12.6.0 sacremoses-0.0.53 scipy-1.9.0 semver-2.13.0 smmap-5.0.0 streamlit-1.12.0 tokenizers-0.13.2 toml-0.10.2 toolz-0.12.0 torch-1.13.0 tornado-6.2 tqdm-4.64.0 transformers-4.16.2 typing-extensions-4.4.0 tzdata-2022.6 tzlocal-4.2 urllib3-1.26.12 validators-0.20.0 watchdog-2.1.9 wcwidth-0.2.5 zipp-3.10.0

インストール後の環境 †

• パッケージ一覧
  
  ▼　コマンド $ pip freeze
  ▲　コマンド $ pip freeze

  (py38) $ pip freeze
  altair==4.2.0
  attrs==22.1.0
  backports.zoneinfo==0.2.1
  blinker==1.5
  cachetools==5.2.0
  certifi @ file:///croot/certifi_1665076670883/work/certifi
  charset-normalizer==2.1.1
  click==8.1.3
  commonmark==0.9.1
  decorator==5.1.1
  diffusers==0.2.4
  entrypoints==0.4
  filelock==3.8.0
  ftfy==6.1.1
  gitdb==4.0.9
  GitPython==3.1.29
  huggingface-hub==0.9.0
  idna==3.4
  importlib-metadata==5.0.0
  importlib-resources==5.10.0
  Jinja2==3.1.2
  joblib==1.2.0
  jsonschema==4.17.0
  MarkupSafe==2.1.1
  munkres==1.1.4
  numpy==1.19.5
  opencv-python==4.5.5.64
  openvino==2022.1.0
  packaging==21.3
  pandas==1.4.4
  Pillow==9.3.0
  pkgutil_resolve_name==1.3.10
  protobuf==3.20.3
  pyarrow==10.0.0
  pydeck==0.8.0
  Pygments==2.13.0
  Pympler==1.0.1
  pyparsing==3.0.9
  PyQt5-Qt5==5.15.2
  PyQt5-sip==12.9.0
  pyrsistent==0.19.2
  python-dateutil==2.8.2
  pytz==2022.6
  pytz-deprecation-shim==0.1.0.post0
  PyYAML==5.4.1
  QtPy==1.11.3
  regex==2022.10.31
  requests==2.28.1
  rich==12.6.0
  sacremoses==0.0.53
  scipy==1.9.0
  semver==2.13.0
  six==1.16.0
  smmap==5.0.0
  streamlit==1.12.0
  tokenizers==0.13.2
  toml==0.10.2
  toolz==0.12.0
  torch==1.9.0+cpu
  torchaudio==0.9.0
  torchvision==0.10.0+cpu
  tornado==6.2
  tqdm==4.64.0
  transformers==4.16.2
  typing_extensions==4.4.0
  tzdata==2022.6
  tzlocal==4.2
  urllib3==1.26.12
  validators==0.20.0
  watchdog==2.1.9
  wcwidth==0.2.5
  zipp==3.10.0

   

デモの実行 †

• 仮想環境に移行して実行する
  

  $ conda activate py38

• 初回実行時のみ学習済みモデルのダウンロードあり
  

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  ※ Windows で管理権限がないとエラーになるとき → ここを参照
  

「トム・クルーズを描く」 †

• ゴッホ / バンクシー / フェルメール / 草間彌生
  
  
  
  
  
  

  (py38) $ python3 demo.py --prompt "Street-art painting of Tom Cruise in style of Gogh, photorealism"
  32it [04:48,  9.00s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Tom Cruise in style of Banksy, photorealism"
  32it [05:05,  9.55s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Tom Cruise in style of Vermeer, photorealism"
  32it [05:05,  9.55s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Tom Cruise in style of Yayoi Kusama, photorealism"
  32it [04:51,  9.12s/it]

「モナ・リザを描く」 †

• ゴッホ / アンディ・ウォーホル / ロイ・リキテンスタイン / ジョルジュ・スーラ / バンクシー
  
  
  
  
  
  
  

  (py38) $ python3 demo.py --prompt "Street-art painting of Mona Lisa in style of Gogh, photorealism"
  32it [04:50,  9.09s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Mona Lisa in style of Warhol, photorealism"
  32it [04:54,  9.19s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Mona Lisa in style of Lichtenstein, photorealism"
  32it [04:39,  8.74s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Mona Lisa in style of Georges Seurat, photorealism"
  32it [04:46,  8.96s/it]
  (py38) $ python3 demo.py --prompt "Street-art painting of Mona Lisa in style of Banksy, photorealism"
  32it [04:45,  8.91s/it]

「同じフレーズで繰り返し描く …」 †

フレーズは https://osakametro-adera.jp/blog/20221102 より

(py38) $ python3 demo.py --prompt "Osaka metro Concept art, Highly detailed, surrealism, trending on art station, triadic color scheme, smooth, sharp focus, matte, elegant, the most beautiful image ever seen, illustration, digital paint, washed colors, sharp, dramatic lighting, beautiful"
32it [04:48,  9.00s/it]

「入力画像を決めて描く」 †

　● 入力画像 →

• 油絵 クロード・モネ / 浮世絵 葛飾北斎 / 漫画 手塚治虫 / 水墨画 雪舟 / 水墨画 雪舟2
  
  
  
  
  
  
  

  (py38) $ python3 demo.py --prompt "landscape with trees, Oil paining, Claude Monet, photorealism" --init-image data/test.jpg --strength 0.5
  18it [02:45,  9.17s/it]
  (py38) $ python3 demo.py --prompt "landscape with trees, UKIYO-E, Hokusai, photorealism" --init-image data/test.jpg --strength 0.5
  18it [02:47,  9.32s/it]
  (py38) $ python3 demo.py --prompt "landscape with trees, Cartoon, Osamu Tezuka, photorealism" --init-image data/test.jpg --strength 0.5
  18it [02:50,  9.48s/it]
  (py38) $ python3 demo.py --prompt "landscape with trees, Indian ink painting/ink brush painting, Sesshu, photorealism" --init-image data/test.jpg --strength 0.5
  18it [02:51,  9.53s/it]
  (py38) $ python3 demo.py --prompt "landscape with trees, Indian ink painting/ink brush painting, Sesshu, photorealism" --init-image data/test.jpg --strength 0.7
  24it [03:43,  9.31s/it]

   

CPU の違いによる動作速度比較 †

　　※1「Ultra performance」モードで計測
　　※2「Graphics Processors (GPU)」の種類によっては GPUの効果は期待できないものもあるよう

• 出力画像（ゴッホ / バンクシー / フェルメール / 草間彌生）
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  

マシン仕様（参考） †

• DELL XPS Plus 9320 (第12世代 Core™ i7 CPU/GPU搭載 ノート)
  • CPU Intel® Core™ i7-1260P CPU
  • Processor Graphics Intel® Iris® Xe Graphics
  • 32GB Memory
  • 1TB M.2 SSD
  • OS Windows11 Pro
• DELL Latitude 7520 (第11世代 Core™ i7 CPU/GPU搭載 ノート)
  • CPU Intel® Core™ i7-1185G7 CPU
  • Processor Graphics Intel® Iris® Xe Graphics
  • 32GB Memory
  • 1TB M.2 SSD
  • OS Ubuntu20.04LTS
• DELL Vostro 3500 (第11世代 Core™ i3 CPU搭載 ノート)
  • CPU Intel® Core™ i3-1115G4 @ 3.00GHz
  • Intel® UHD Graphics for 11th Gen Intel® Processors
  • 16GB Memory
  • 1TB SSD
  • OS Windows10 Pro
• Intel® NUC キット BXNUC10I5FNH (第10世代 Core™ i7 CPU搭載 ミニPC)
  • CPU Intel® Core™ i5-10210U CPU
  • Intel® UHD Graphics for 10th Gen Intel® Processors
  • 62GB Memory
  • 1TB M.2 SSD
  • OS Ubuntu20.04LTS
• HP EliteDesk 800 G2 SFF (第6世代 Core™ i7 CPU搭載 デスクトップ)
  • CPU Intel® Core™ i7-6700 CPU @ 3.40GHz
  • Intel® HD Graphics 530
  • 16GB Memory
  • OS Windows10 Pro
  • Ubuntu20.04LTS on Oracle VM VirtualBox
• Panasonic CF-B10BWJYS (第2世代 Core™ i7 CPU搭載 ノート)
  • CPU Intel® Core™ i7-2620M vPro CPU @ 2.60GHz
  • 8GB Memory
  • OS Windows10 Pro
  • Ubuntu20.04LTS on Oracle VM VirtualBox

覚書 †

Anaconda の更新で「CondaSSLError」が出る場合 †

• anaconda実行環境でないときに発生する
  

  PS C:\anaconda_win\workspace_py38> conda update -n base -c defaults conda
  Collecting package metadata (current_repodata.json): failed
  
  CondaSSLError: OpenSSL appears to be unavailable on this machine. OpenSSL is required to
  download and install packages.
  
  Exception: HTTPSConnectionPool(host='repo.anaconda.com', port=443): Max retries exceeded with url: /pkgs/main/win-64/current_repodata.json (Caused by SSLError("Can't connect to HTTPS URL because the SSL module is not available."))
  
  PS C:\anaconda_win\workspace_py38>

• (base)仮想環境下で実行すること
  

  PS C:\anaconda_win\workspace_py38> conda activate base
  (base) PS C:\anaconda_win\workspace_py38> conda update -n base -c defaults conda
  Collecting package metadata (current_repodata.json): done
  Solving environment: done
  
  # All requested packages already installed.
  
  (base) PS C:\anaconda_win\workspace_py38>

最近の OpenVINO™ツールキット (2022/11/16 記述) †

• 2022.1版以降 オフィシャルサイトのインストール方法が変更になっている
  
  
• 2022.1版より API2.0 が採用（強く推奨）されているが API1.0 もサポートする旨の表記があるので「OpenVINO™ 2022.1」(安定版)をインストールする
  　Intel® Distribution of OpenVINO™ Toolkit
  
• 推論を実行するだけならランタイム版のインストールでよい
  
• サイトのページで使用する環境を選び得られるコマンドを実行するだけでよく簡単になった
  

OpenVINO™ + stable_diffusion「stable_diffusion.openvino」 †

• OpenVINO™ツールキットの例が多いがランタイム版で実行できる
  
• venv 仮想環境の記述があるが Anaconda 仮想環境で問題なく実行できる
  
• インストール中エラーが1か所発生するがこのプロジェクトでは問題ないのでは無視する
  

  ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
  torchvision 0.10.0+cpu requires pillow>=5.3.0, which is not installed.

Windows で初回実行の学習済みモデル・ダウンロードで管理権限がないとエラーになるとき †

• 「設定」→「更新とセキュリティ」→「開発者向け」のページを表示する
  
• 「開発者モード」の設定を ON にする
  

Anaconda 仮想環境の自動アクティベート（ターミナル起動時の設定） †

　■ Linux の場合

1. 初期設定スクリプトを用意する
   
   ▼「anaconda_setup_py38.sh」
   ▲「anaconda_setup_py38.sh」

   #!/bin/sh
   
   echo "[anaconda_setup_py37.sh] Anaconda3 (py37) environment initialized"
   
   if [ -e $HOME/anaconda3/etc/profile.d/conda.sh ]; then
       # Anaconda がインスール済みの環境
       if [ -z "$ANACONDA_PATHSET" ]; then
           export -n PYTHONPATH    # 設定クリア
           source $HOME/anaconda3/etc/profile.d/conda.sh
   
           if [ -e $HOME/workspace/lib ]; then
               export PYTHONPATH=$HOME/workspace/lib
           fi
           if [ -e $HOME/omz_demos_build/omz_demos.sh ]; then
               source ~/omz_demos_build/omz_demos.sh
           fi
   
           ANACONDA_PATHSET=$PYTHONPATH
       else
           echo " Anaconda3 environment already setup !!"
           if [ -n "$ANACONDA_PATHSET" ]; then
               export PYTHONPATH=$ANACONDA_PATHSET
           fi
       fi
       cd $HOME/workspace_py37
       conda activate py37
       conda info -e
   
       OPENVINO_PATHSET=    # OpenVINO 設定クリア
   else
       # Anaconda が存在しないとき
       echo " Anaconda is not installed !!"
   fi
   
   export PYTHONPATH=$PYTHONPATH:$HOME/workspace_py37/mylib
   echo " PYTHONPATH="
   printenv PYTHONPATH

   ▼「anaconda_setup_py37.sh」
   ▲「anaconda_setup_py37.sh」

   #!/bin/sh
   
   echo "[anaconda_setup_py37.sh] Anaconda3 (py37) environment initialized"
   
   if [ -e $HOME/anaconda3/etc/profile.d/conda.sh ]; then
       # Anaconda がインスール済みの環境
       if [ -z "$ANACONDA_PATHSET" ]; then
           export -n PYTHONPATH    # 設定クリア
           source $HOME/anaconda3/etc/profile.d/conda.sh
   
           if [ -e $HOME/workspace/lib ]; then
               export PYTHONPATH=$HOME/workspace/lib
           fi
           if [ -e $HOME/omz_demos_build/omz_demos.sh ]; then
               source ~/omz_demos_build/omz_demos.sh
           fi
   
           ANACONDA_PATHSET=$PYTHONPATH
       else
           echo " Anaconda3 environment already setup !!"
           if [ -n "$ANACONDA_PATHSET" ]; then
               export PYTHONPATH=$ANACONDA_PATHSET
           fi
       fi
       cd $HOME/workspace_py37
       conda activate py37
       conda info -e
   
       OPENVINO_PATHSET=    # OpenVINO 設定クリア
   else
       # Anaconda が存在しないとき
       echo " Anaconda is not installed !!"
   fi
   
   export PYTHONPATH=$PYTHONPATH:$HOME/workspace_py37/mylib
   echo " PYTHONPATH="
   printenv PYTHONPATH

   ▼「env_select.sh」
   ▲「env_select.sh」

   #!/bin/sh
   
   echo [env_select.sh] Environment Select !!
   
   while :
   do
       echo "  1: Nomal"
       echo "  2: OpenVINO"
       echo "  3: Anaconda (py37)"
       echo "  4: Anaconda (py38)"
   
       read -p " Prease input '1-4' : " key
           if [ -z "$key" ]; then
               echo -e " ** Phsh 'Enter' Nomal environment select !! **\n"
               break
   
           elif [ "$key" = "1" ]; then
               echo -e " ** Nomal environment select !! **\n"
               break
   
           elif [ "$key" = "2" ]; then
               echo -e " ** OpenVINO environment select !! **\n"
               source $HOME/openvino_setup.sh
               break
   
           elif [ "$key" = "3" ]; then
               echo -e " ** Anaconda environment (py37) select !! **\n"
               source $HOME/anaconda_setup_py37.sh
               break
   
           elif [ "$key" = "4" ]; then
               echo -e " ** Anaconda environment (py38) select !! **\n"
               source $HOME/anaconda_setup_py38.sh
               break
   
           else
               echo -e " !!! Input error !!!\n"
           fi
   done

   
   
2. 「.bashrc」の最後にに設定を書く
   

   $ vi .bashrc
       :
   source $HOME/env_select.sh

　■ Windows の場合

1. 「スタートボタン」を押し「Anaconda Powershell Prompt (anaconda3)」の上で 右クリック → その他 → ファイルの場所を開く を選択する。
   
2. 「Anaconda Powershell Prompt (anaconda3)」をコピーして名前を付ける「Anaconda (py38)」
3. 表示されるエクスプローラ上の「Anaconda (py38)」で 右クリック → プロパティ を選ぶ。
   
4. リンク先の項目を変更する。
   ・元の記述(初期値)
   

   %windir%\System32\WindowsPowerShell\v1.0\powershell.exe -ExecutionPolicy ByPass -NoExit -Command "& 'C:\ProgramData\Anaconda3\shell\condabin\conda-hook.ps1' ; conda activate 'C:\Users\<User>\anaconda3' "

   ・次のように変更 <User> = ユーザー名　X: = anaconda_winを配置したドライブ
   

   %windir%\System32\WindowsPowerShell\v1.0\powershell.exe -ExecutionPolicy ByPass -NoExit -Command "& 'C:\ProgramData\Anaconda3\shell\condabin\conda-hook.ps1' ; conda activate 'C:\Users\<User>\anaconda3\envs\py38' ; Set-Location 'X:\anaconda_win' "

更新履歴 †

• 2022/11/15 初版
  
• 2022/11/16 インストール環境を「Anaconda」とする
  
   

参考資料 †

• OpenVINO™ Toolkit
  
  • オフィシャルサイト Intel® Distribution of OpenVINO™ Toolkit
    
  • オフィシャルサイト Install OpenVINO™ Development Tools
    

• stable_diffusion
  
  • stable_diffusion.openvino
    
  • Openvino2022.2 + stable diffusion
    
  • Openvino2022.2 + stable diffusion その２
    
  • 画像生成AIの「Stable Diffusion」を試してみた
    

• インフラ一筋のおじさんが画像生成AI“Stable-Diffusion”を読み込んでみる件
  
• Stable Diffusionにおける呪文についての詳細と呪文ルール、イメージに近いイラストを生成するコツなどを解説
  
• イラストを描画できるAI！Stable Diffusionの活用方法 PromptからPythonでのコーディングまで
  
• Stable Diffusion 呪文探しの旅 美しい絵が描けるPromptを集めてみました Part 1
  
• Stable Diffusion 呪文探しの旅 幻想世界の風景を生み出すPrompt Part 2
  

• Stable Diffusionのimg2img(画像から画像)をソフトから簡単に実行 [NMKD Stable Diffusion GUI]
  
• NMKD Stable Diffusion GUI 1.6.0 の新機能・導入/更新方法