カテゴリー: プログラム

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Ryzen 5 5600G環境とRyzen 7 5800H環境でStable Diffusionを使うメモ

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nVidia GPUやAMD GPUを使ってStable Diffusion をやるって話はあるけど、AMD Ryzen GPU付きのGPU部分を使ってできるのか、ってのがよく分からなかったので試してみた。

1) 前準備

Windows 11環境なのでwingetコマンドを使ってpythonとgitをインストール

> winget install Python.Python.3.10
> winget install Git.Git

ただ、python 3.10.11 がインストールされたんだが、オリジナルの Stable Diffusion web UI の「Automatic Installation on Windows」には「Install Python 3.10.6 (Newer version of Python does not support torch), checking “Add Python to PATH”.」という記載が・・・果たしてホントにダメなのか？→問題ありませんでした

2) SD.Next編…失敗

いろいろ自働でセットアップしてくれるStable Diffusion web UI とそれにいろいろ機能を付け加えている SD.Next などがある。

とりあえず試してみるか、とやってみたが、CPUでの動作となっていた。(ドキュメントにWindowsでのAMDは対応していない、とある通り)

2023/09/14追記: 現在はSD.NextもDirectML対応になり使える様になりました
2023/11/24追記: SD.NextをDirectML使ってRyzen 5600Gで動かすと結構頻繁に処理途中で止まる感じでイマイチです。たぶんGPUメモリ少ないとイマイチなんでしょう。

PS D:\> mkdir sdnext
    ディレクトリ: D:\
Mode                 LastWriteTime         Length Name
----                 -------------         ------ ----
d-----        2023/07/11     15:23                sdnext
PS D:\> cd sdnext
PS D:\sdnext> git clone https://github.com/vladmandic/automatic
Cloning into 'automatic'...
remote: Enumerating objects: 27653, done.
remote: Counting objects: 100% (446/446), done.
remote: Compressing objects: 100% (206/206), done.
remote: Total 27653 (delta 300), reused 343 (delta 238), pack-reused 27207
Receiving objects: 100% (27653/27653), 34.77 MiB | 9.98 MiB/s, done.
Resolving deltas: 100% (19681/19681), done.
PS D:\sdnext> dir
    ディレクトリ: D:\sdnext
Mode                 LastWriteTime         Length Name
----                 -------------         ------ ----
d-----        2023/07/11     15:23                automatic
PS D:\sdnext> cd .\automatic\
PS D:\sdnext\automatic> dir
    ディレクトリ: D:\sdnext\automatic
Mode                 LastWriteTime         Length Name
----                 -------------         ------ ----
d-----        2023/07/11     15:23                .github
d-----        2023/07/11     15:23                .vscode
d-----        2023/07/11     15:23                cli
d-----        2023/07/11     15:23                configs
d-----        2023/07/11     15:23                extensions
d-----        2023/07/11     15:23                extensions-builtin
d-----        2023/07/11     15:23                html
d-----        2023/07/11     15:23                javascript
d-----        2023/07/11     15:23                models
d-----        2023/07/11     15:23                modules
d-----        2023/07/11     15:23                repositories
d-----        2023/07/11     15:23                scripts
d-----        2023/07/11     15:23                train
d-----        2023/07/11     15:23                wiki
-a----        2023/07/11     15:23             53 .eslintignore
-a----        2023/07/11     15:23           3184 .eslintrc.json
-a----        2023/07/11     15:23            800 .gitignore
-a----        2023/07/11     15:23           2135 .gitmodules
-a----        2023/07/11     15:23             98 .markdownlint.json
-a----        2023/07/11     15:23           5949 .pylintrc
-a----        2023/07/11     15:23          26192 CHANGELOG.md
-a----        2023/07/11     15:23          37405 installer.py
-a----        2023/07/11     15:23           7610 launch.py
-a----        2023/07/11     15:23          35240 LICENSE.txt
-a----        2023/07/11     15:23           1255 pyproject.toml
-a----        2023/07/11     15:23           7897 README.md
-a----        2023/07/11     15:23            832 requirements.txt
-a----        2023/07/11     15:23           1254 SECURITY.md
-a----        2023/07/11     15:23           2153 TODO.md
-a----        2023/07/11     15:23           2135 webui.bat
-a----        2023/07/11     15:23          13616 webui.py
-a----        2023/07/11     15:23           2515 webui.sh
PS D:\sdnext\automatic>

PS D:\sdnext\automatic> .\webui.bat
Creating venv in directory D:\sdnext\automatic\venv using python "C:\Users\OSAKANATARO\AppData\Local\Programs\Python\Python310\python.exe"
Using VENV: D:\sdnext\automatic\venv
15:25:01-666542 INFO     Starting SD.Next
15:25:01-669541 INFO     Python 3.10.11 on Windows
15:25:01-721480 INFO     Version: 6466d3cb Mon Jul 10 17:20:29 2023 -0400
15:25:01-789179 INFO     Using CPU-only Torch
15:25:01-791196 INFO     Installing package: torch torchvision
15:28:27-814772 INFO     Torch 2.0.1+cpu
15:28:27-816772 INFO     Installing package: tensorflow==2.12.0
15:29:30-011443 INFO     Verifying requirements
15:29:30-018087 INFO     Installing package: addict
15:29:31-123764 INFO     Installing package: aenum
15:29:32-305603 INFO     Installing package: aiohttp
15:29:34-971224 INFO     Installing package: anyio
15:29:36-493994 INFO     Installing package: appdirs
15:29:37-534966 INFO     Installing package: astunparse
15:29:38-564191 INFO     Installing package: bitsandbytes
15:29:50-921879 INFO     Installing package: blendmodes
15:29:53-458099 INFO     Installing package: clean-fid
15:30:03-300722 INFO     Installing package: easydev
15:30:06-960355 INFO     Installing package: extcolors
15:30:08-507545 INFO     Installing package: facexlib
15:30:33-800356 INFO     Installing package: filetype
15:30:35-194993 INFO     Installing package: future
15:30:42-170599 INFO     Installing package: gdown
15:30:43-999361 INFO     Installing package: gfpgan
15:31:07-467514 INFO     Installing package: GitPython
15:31:09-671195 INFO     Installing package: httpcore
15:31:11-496157 INFO     Installing package: inflection
15:31:12-879955 INFO     Installing package: jsonmerge
15:31:16-636081 INFO     Installing package: kornia
15:31:20-478210 INFO     Installing package: lark
15:31:22-125443 INFO     Installing package: lmdb
15:31:23-437953 INFO     Installing package: lpips
15:31:24-867851 INFO     Installing package: omegaconf
15:31:29-258237 INFO     Installing package: open-clip-torch
15:31:36-741714 INFO     Installing package: opencv-contrib-python
15:31:43-728945 INFO     Installing package: piexif
15:31:45-357791 INFO     Installing package: psutil
15:31:47-282924 INFO     Installing package: pyyaml
15:31:48-716454 INFO     Installing package: realesrgan
15:31:50-511931 INFO     Installing package: resize-right
15:31:52-093682 INFO     Installing package: rich
15:31:53-644532 INFO     Installing package: safetensors
15:31:55-125015 INFO     Installing package: scipy
15:31:56-653853 INFO     Installing package: tb_nightly
15:31:58-439541 INFO     Installing package: toml
15:32:00-133340 INFO     Installing package: torchdiffeq
15:32:01-912273 INFO     Installing package: torchsde
15:32:04-240460 INFO     Installing package: voluptuous
15:32:05-884949 INFO     Installing package: yapf
15:32:07-385998 INFO     Installing package: scikit-image
15:32:08-929379 INFO     Installing package: basicsr
15:32:10-544987 INFO     Installing package: compel
15:32:41-171247 INFO     Installing package: typing-extensions==4.7.1
15:32:43-013058 INFO     Installing package: antlr4-python3-runtime==4.9.3
15:32:45-010443 INFO     Installing package: pydantic==1.10.11
15:32:47-661255 INFO     Installing package: requests==2.31.0
15:32:49-665092 INFO     Installing package: tqdm==4.65.0
15:32:51-622194 INFO     Installing package: accelerate==0.20.3
15:32:54-560549 INFO     Installing package: opencv-python==4.7.0.72
15:33:01-124008 INFO     Installing package: diffusers==0.18.1
15:33:03-084405 INFO     Installing package: einops==0.4.1
15:33:05-232281 INFO     Installing package: gradio==3.32.0
15:33:31-795569 INFO     Installing package: numexpr==2.8.4
15:33:34-212078 INFO     Installing package: numpy==1.23.5
15:33:36-321166 INFO     Installing package: numba==0.57.0
15:33:45-795266 INFO     Installing package: pandas==1.5.3
15:34:02-667504 INFO     Installing package: protobuf==3.20.3
15:34:04-879519 INFO     Installing package: pytorch_lightning==1.9.4
15:34:11-965173 INFO     Installing package: transformers==4.30.2
15:34:14-260230 INFO     Installing package: tomesd==0.1.3
15:34:16-574323 INFO     Installing package: urllib3==1.26.15
15:34:19-258844 INFO     Installing package: Pillow==9.5.0
15:34:21-521566 INFO     Installing package: timm==0.6.13
15:34:25-728405 INFO     Verifying packages
15:34:25-729402 INFO     Installing package: git+https://github.com/openai/CLIP.git
15:34:32-108450 INFO     Installing package:
                         git+https://github.com/patrickvonplaten/invisible-watermark.git@remove_onnxruntime_depedency
15:34:40-136600 INFO     Installing package: onnxruntime==1.15.1
15:34:45-579550 INFO     Verifying repositories
15:34:45-581057 INFO     Cloning repository: https://github.com/Stability-AI/stablediffusion.git
15:34:54-267186 INFO     Cloning repository: https://github.com/CompVis/taming-transformers.git
15:35:39-098788 INFO     Cloning repository: https://github.com/crowsonkb/k-diffusion.git
15:35:40-207126 INFO     Cloning repository: https://github.com/sczhou/CodeFormer.git
15:35:43-303813 INFO     Cloning repository: https://github.com/salesforce/BLIP.git
15:35:45-355666 INFO     Verifying submodules
15:36:50-587204 INFO     Extension installed packages: clip-interrogator-ext ['clip-interrogator==0.6.0']
15:36:57-547973 INFO     Extension installed packages: sd-webui-agent-scheduler ['SQLAlchemy==2.0.18',
                         'greenlet==2.0.2']
15:37:26-237541 INFO     Extension installed packages: sd-webui-controlnet ['pywin32==306', 'lxml==4.9.3',
                         'reportlab==4.0.4', 'pycparser==2.21', 'portalocker==2.7.0', 'cffi==1.15.1', 'svglib==1.5.1',
                         'tinycss2==1.2.1', 'mediapipe==0.10.2', 'tabulate==0.9.0', 'cssselect2==0.7.0',
                         'webencodings==0.5.1', 'sounddevice==0.4.6', 'iopath==0.1.9', 'yacs==0.1.8',
                         'fvcore==0.1.5.post20221221']
15:37:41-631094 INFO     Extension installed packages: stable-diffusion-webui-images-browser ['Send2Trash==1.8.2',
                         'image-reward==1.5', 'fairscale==0.4.13']
15:37:48-683136 INFO     Extension installed packages: stable-diffusion-webui-rembg ['rembg==2.0.38', 'pooch==1.7.0',
                         'PyMatting==1.1.8']
15:37:48-781391 INFO     Extensions enabled: ['a1111-sd-webui-lycoris', 'clip-interrogator-ext', 'LDSR', 'Lora',
                         'multidiffusion-upscaler-for-automatic1111', 'ScuNET', 'sd-dynamic-thresholding',
                         'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sd-webui-controlnet',
                         'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg', 'SwinIR']
15:37:48-783895 INFO     Verifying packages
15:37:48-845754 INFO     Extension preload: 0.0s D:\sdnext\automatic\extensions-builtin
15:37:48-846767 INFO     Extension preload: 0.0s D:\sdnext\automatic\extensions
15:37:48-882113 INFO     Server arguments: []
15:37:56-683469 INFO     Pipeline: Backend.ORIGINAL
No module 'xformers'. Proceeding without it.
15:38:01-166704 INFO     Libraries loaded
15:38:01-168718 INFO     Using data path: D:\sdnext\automatic
15:38:01-171245 INFO     Available VAEs: D:\sdnext\automatic\models\VAE 0
15:38:01-174758 INFO     Available models: D:\sdnext\automatic\models\Stable-diffusion 0
Download the default model? (y/N) y
Downloading: "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" to D:\sdnext\automatic\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
100.0%
15:45:08-083310 INFO     ControlNet v1.1.232
ControlNet v1.1.232
ControlNet preprocessor location: D:\sdnext\automatic\extensions-builtin\sd-webui-controlnet\annotator\downloads
15:45:08-271984 INFO     ControlNet v1.1.232
ControlNet v1.1.232
Image Browser: ImageReward is not installed, cannot be used.
Image Browser: Creating database
Image Browser: Database created
15:45:08-497758 ERROR    Module load:
                         D:\sdnext\automatic\extensions-builtin\stable-diffusion-webui-rembg\scripts\api.py: ImportError
Module load: D:\sdnext\automatic\extensions-builtin\stable-diffusion-webui-rembg\scripts\api.py: ImportError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\sdnext\automatic\modules\script_loading.py:13 in load_module                                                      │
│                                                                                                                      │
│   12 │   try:                                                                                                        │
│ ❱ 13 │   │   module_spec.loader.exec_module(module)                                                                  │
│   14 │   except Exception as e:                                                                                      │
│ in exec_module:883                                                                                                   │
│                                                                                                                      │
│                                               ... 7 frames hidden ...                                                │
│                                                                                                                      │
│ D:\sdnext\automatic\venv\lib\site-packages\numba\__init__.py:55 in <module>                                          │
│                                                                                                                      │
│    54                                                                                                                │
│ ❱  55 _ensure_critical_deps()                                                                                        │
│    56 # END DO NOT MOVE                                                                                              │
│                                                                                                                      │
│ D:\sdnext\automatic\venv\lib\site-packages\numba\__init__.py:42 in _ensure_critical_deps                             │
│                                                                                                                      │
│    41 │   elif numpy_version > (1, 24):                                                                              │
│ ❱  42 │   │   raise ImportError("Numba needs NumPy 1.24 or less")                                                    │
│    43 │   try:                                                                                                       │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
ImportError: Numba needs NumPy 1.24 or less
15:45:08-546905 ERROR    Module load:
                         D:\sdnext\automatic\extensions-builtin\stable-diffusion-webui-rembg\scripts\postprocessing_remb
                         g.py: ImportError
Module load: D:\sdnext\automatic\extensions-builtin\stable-diffusion-webui-rembg\scripts\postprocessing_rembg.py: ImportError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\sdnext\automatic\modules\script_loading.py:13 in load_module                                                      │
│                                                                                                                      │
│   12 │   try:                                                                                                        │
│ ❱ 13 │   │   module_spec.loader.exec_module(module)                                                                  │
│   14 │   except Exception as e:                                                                                      │
│ in exec_module:883                                                                                                   │
│                                                                                                                      │
│                                               ... 7 frames hidden ...                                                │
│                                                                                                                      │
│ D:\sdnext\automatic\venv\lib\site-packages\numba\__init__.py:55 in <module>                                          │
│                                                                                                                      │
│    54                                                                                                                │
│ ❱  55 _ensure_critical_deps()                                                                                        │
│    56 # END DO NOT MOVE                                                                                              │
│                                                                                                                      │
│ D:\sdnext\automatic\venv\lib\site-packages\numba\__init__.py:42 in _ensure_critical_deps                             │
│                                                                                                                      │
│    41 │   elif numpy_version > (1, 24):                                                                              │
│ ❱  42 │   │   raise ImportError("Numba needs NumPy 1.24 or less")                                                    │
│    43 │   try:                                                                                                       │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
ImportError: Numba needs NumPy 1.24 or less
15:45:08-867572 INFO     Loading UI theme: name=black-orange style=Auto
Running on local URL:  http://127.0.0.1:7860
15:45:11-480274 INFO     Local URL: http://127.0.0.1:7860/
15:45:11-482798 INFO     Initializing middleware
15:45:11-602837 INFO     [AgentScheduler] Task queue is empty
15:45:11-606823 INFO     [AgentScheduler] Registering APIs
15:45:11-709704 INFO     Model metadata saved: D:\sdnext\automatic\metadata.json 1
Loading weights: D:\sdnext\automatic\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors ━━━━━━━━━ 0.0/4.3   -:--:--
                                                                                                       GB
15:45:12-501405 WARNING  Torch FP16 test failed: Forcing FP32 operations: "LayerNormKernelImpl" not implemented for
                         'Half'
15:45:12-503413 INFO     Torch override dtype: no-half set
15:45:12-504408 INFO     Torch override VAE dtype: no-half set
15:45:12-505409 INFO     Setting Torch parameters: dtype=torch.float32 vae=torch.float32 unet=torch.float32
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Downloading (…)olve/main/vocab.json: 100%|██████████████████████████████████████████| 961k/961k [00:00<00:00, 1.61MB/s]
Downloading (…)olve/main/merges.txt: 100%|██████████████████████████████████████████| 525k/525k [00:00<00:00, 1.16MB/s]
Downloading (…)cial_tokens_map.json: 100%|████████████████████████████████████████████████████| 389/389 [00:00<?, ?B/s]
Downloading (…)okenizer_config.json: 100%|████████████████████████████████████████████████████| 905/905 [00:00<?, ?B/s]
Downloading (…)lve/main/config.json: 100%|████████████████████████████████████████████████| 4.52k/4.52k [00:00<?, ?B/s]
Calculating model hash: D:\sdnext\automatic\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors ━━━━━━ 4.3/4… 0:00:…
                                                                                                           GB
15:45:20-045323 INFO     Applying Doggettx cross attention optimization
15:45:20-051844 INFO     Embeddings: loaded=0 skipped=0
15:45:20-057917 INFO     Model loaded in 8.1s (load=0.2s config=0.4s create=3.5s hash=3.2s apply=0.8s)
15:45:20-301777 INFO     Model load finished: {'ram': {'used': 8.55, 'total': 31.3}} cached=0
15:45:20-859838 INFO     Startup time: 452.0s (torch=4.3s gradio=2.4s libraries=5.5s models=424.0s codeformer=0.2s
                         scripts=3.3s onchange=0.2s ui-txt2img=0.1s ui-img2img=0.1s ui-settings=0.4s ui-extensions=1.7s
                         ui-defaults=0.1s launch=0.2s app-started=0.2s checkpoint=9.2s)

エラーがでていたので中断して、もう１回起動してみたらさっき出てたエラーっぽいのはないが止まった。

PS D:\sdnext\automatic> .\webui.bat
Using VENV: D:\sdnext\automatic\venv
20:46:25-099403 INFO     Starting SD.Next
20:46:25-107728 INFO     Python 3.10.11 on Windows
20:46:25-168108 INFO     Version: 6466d3cb Mon Jul 10 17:20:29 2023 -0400
20:46:25-610382 INFO     Latest published version: a844a83d9daa9987295932c0db391ec7be5f2d32 2023-07-11T08:00:45Z
20:46:25-634606 INFO     Using CPU-only Torch
20:46:28-219427 INFO     Torch 2.0.1+cpu
20:46:28-220614 INFO     Installing package: tensorflow==2.12.0
20:47:05-861641 INFO     Enabled extensions-builtin: ['a1111-sd-webui-lycoris', 'clip-interrogator-ext', 'LDSR', 'Lora',
                         'multidiffusion-upscaler-for-automatic1111', 'ScuNET', 'sd-dynamic-thresholding',
                         'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sd-webui-controlnet',
                         'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg', 'SwinIR']
20:47:05-870117 INFO     Enabled extensions: []
20:47:05-872302 INFO     Verifying requirements
20:47:05-889503 INFO     Verifying packages
20:47:05-891503 INFO     Verifying repositories
20:47:11-387347 INFO     Verifying submodules
20:47:32-176175 INFO     Extensions enabled: ['a1111-sd-webui-lycoris', 'clip-interrogator-ext', 'LDSR', 'Lora',
                         'multidiffusion-upscaler-for-automatic1111', 'ScuNET', 'sd-dynamic-thresholding',
                         'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sd-webui-controlnet',
                         'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg', 'SwinIR']
20:47:32-178176 INFO     Verifying packages
20:47:32-186325 INFO     Extension preload: 0.0s D:\sdnext\automatic\extensions-builtin
20:47:32-188648 INFO     Extension preload: 0.0s D:\sdnext\automatic\extensions
20:47:32-221762 INFO     Server arguments: []
20:47:40-417209 INFO     Pipeline: Backend.ORIGINAL
No module 'xformers'. Proceeding without it.
20:47:43-468816 INFO     Libraries loaded
20:47:43-469815 INFO     Using data path: D:\sdnext\automatic
20:47:43-473321 INFO     Available VAEs: D:\sdnext\automatic\models\VAE 0
20:47:43-488860 INFO     Available models: D:\sdnext\automatic\models\Stable-diffusion 1
20:47:46-821663 INFO     ControlNet v1.1.232
ControlNet v1.1.232
ControlNet preprocessor location: D:\sdnext\automatic\extensions-builtin\sd-webui-controlnet\annotator\downloads
20:47:47-027110 INFO     ControlNet v1.1.232
ControlNet v1.1.232
Image Browser: ImageReward is not installed, cannot be used.
20:48:25-145779 INFO     Loading UI theme: name=black-orange style=Auto
Running on local URL:  http://127.0.0.1:7860
20:48:27-450550 INFO     Local URL: http://127.0.0.1:7860/
20:48:27-451639 INFO     Initializing middleware
20:48:28-016312 INFO     [AgentScheduler] Task queue is empty
20:48:28-017325 INFO     [AgentScheduler] Registering APIs
20:48:28-133032 WARNING  Selected checkpoint not found: model.ckpt
Loading weights: D:\sdnext\automatic\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors ━━━━━━━━━ 0.0/4.3   -:--:--
                                                                                                       GB
20:48:29-090045 WARNING  Torch FP16 test failed: Forcing FP32 operations: "LayerNormKernelImpl" not implemented for
                         'Half'
20:48:29-091161 INFO     Torch override dtype: no-half set
20:48:29-092186 INFO     Torch override VAE dtype: no-half set
20:48:29-093785 INFO     Setting Torch parameters: dtype=torch.float32 vae=torch.float32 unet=torch.float32
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
20:48:30-662359 INFO     Applying Doggettx cross attention optimization
20:48:30-666359 INFO     Embeddings: loaded=0 skipped=0
20:48:30-679671 INFO     Model loaded in 2.2s (load=0.2s config=0.4s create=0.5s apply=1.0s)
20:48:31-105108 INFO     Model load finished: {'ram': {'used': 8.9, 'total': 31.3}} cached=0
20:48:31-879698 INFO     Startup time: 59.7s (torch=6.1s gradio=1.5s libraries=3.7s codeformer=0.1s scripts=41.4s
                         onchange=0.2s ui-txt2img=0.1s ui-img2img=0.1s ui-settings=0.1s ui-extensions=1.6s
                         ui-defaults=0.1s launch=0.2s app-started=0.7s checkpoint=3.7s)

起動メッセージを確認すると「Using CPU-only Torch」と出ている

3) DirectML版

素直にAMDへの対応手法が記載されているオリジナルのStable Diffusion web UI を使うことにして「Install and Run on AMD GPUs」の「Windows」にある手順を実行します。

PS D:\sdnext> git clone https://github.com/lshqqytiger/stable-diffusion-webui-directml
Cloning into 'stable-diffusion-webui-directml'...
remote: Enumerating objects: 23452, done.
remote: Counting objects: 100% (12/12), done.
remote: Compressing objects: 100% (11/11), done.
remote: Total 23452 (delta 3), reused 6 (delta 1), pack-reused 23440
Receiving objects: 100% (23452/23452), 31.11 MiB | 8.63 MiB/s, done.
Resolving deltas: 100% (16326/16326), done.
PS D:\sdnext> cd .\stable-diffusion-webui-directml\
PS D:\sdnext\stable-diffusion-webui-directml> git submodule init
PS D:\sdnext\stable-diffusion-webui-directml> git submodule update
PS D:\sdnext\stable-diffusion-webui-directml>

そして実行

PS D:\sdnext\stable-diffusion-webui-directml> .\webui-user.bat
Creating venv in directory D:\sdnext\stable-diffusion-webui-directml\venv using python "C:\Users\OSAKANATARO\AppData\Local\Programs\Python\Python310\python.exe"
venv "D:\sdnext\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: ## 1.4.0
Commit hash: 265d626471eacd617321bdb51e50e4b87a7ca82e
Installing torch and torchvision
Collecting torch==2.0.0
  Downloading torch-2.0.0-cp310-cp310-win_amd64.whl (172.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 172.3/172.3 MB 7.9 MB/s eta 0:00:00
Collecting torchvision==0.15.1
  Downloading torchvision-0.15.1-cp310-cp310-win_amd64.whl (1.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 10.8 MB/s eta 0:00:00
Collecting torch-directml
  Downloading torch_directml-0.2.0.dev230426-cp310-cp310-win_amd64.whl (8.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.2/8.2 MB 8.6 MB/s eta 0:00:00
Collecting filelock
  Using cached filelock-3.12.2-py3-none-any.whl (10 kB)
Collecting sympy
  Using cached sympy-1.12-py3-none-any.whl (5.7 MB)
Collecting typing-extensions
  Using cached typing_extensions-4.7.1-py3-none-any.whl (33 kB)
Collecting jinja2
  Using cached Jinja2-3.1.2-py3-none-any.whl (133 kB)
Collecting networkx
  Using cached networkx-3.1-py3-none-any.whl (2.1 MB)
Collecting numpy
  Using cached numpy-1.25.1-cp310-cp310-win_amd64.whl (15.0 MB)
Collecting requests
  Using cached requests-2.31.0-py3-none-any.whl (62 kB)
Collecting pillow!=8.3.*,>=5.3.0
  Using cached Pillow-10.0.0-cp310-cp310-win_amd64.whl (2.5 MB)
Collecting MarkupSafe>=2.0
  Using cached MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl (17 kB)
Collecting certifi>=2017.4.17
  Using cached certifi-2023.5.7-py3-none-any.whl (156 kB)
Collecting charset-normalizer<4,>=2
  Using cached charset_normalizer-3.2.0-cp310-cp310-win_amd64.whl (96 kB)
Collecting idna<4,>=2.5
  Using cached idna-3.4-py3-none-any.whl (61 kB)
Collecting urllib3<3,>=1.21.1
  Using cached urllib3-2.0.3-py3-none-any.whl (123 kB)
Collecting mpmath>=0.19
  Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)
Installing collected packages: mpmath, urllib3, typing-extensions, sympy, pillow, numpy, networkx, MarkupSafe, idna, filelock, charset-normalizer, certifi, requests, jinja2, torch, torchvision, torch-directml
Successfully installed MarkupSafe-2.1.3 certifi-2023.5.7 charset-normalizer-3.2.0 filelock-3.12.2 idna-3.4 jinja2-3.1.2 mpmath-1.3.0 networkx-3.1 numpy-1.25.1 pillow-10.0.0 requests-2.31.0 sympy-1.12 torch-2.0.0 torch-directml-0.2.0.dev230426 torchvision-0.15.1 typing-extensions-4.7.1 urllib3-2.0.3
[notice] A new release of pip is available: 23.0.1 -> 23.1.2
[notice] To update, run: D:\sdnext\stable-diffusion-webui-directml\venv\Scripts\python.exe -m pip install --upgrade pip
Installing gfpgan
Installing clip
Installing open_clip
Cloning Stable Diffusion into D:\sdnext\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai...
Cloning K-diffusion into D:\sdnext\stable-diffusion-webui-directml\repositories\k-diffusion...
Cloning CodeFormer into D:\sdnext\stable-diffusion-webui-directml\repositories\CodeFormer...
Cloning BLIP into D:\sdnext\stable-diffusion-webui-directml\repositories\BLIP...
Installing requirements for CodeFormer
Installing requirements
Launching Web UI with arguments:
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Downloading: "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" to D:\sdnext\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
100%|█████████████████████████████████████████████████████████████████████████████| 3.97G/3.97G [07:45<00:00, 9.15MB/s]
Calculating sha256 for D:\sdnext\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors: preload_extensions_git_metadata for 7 extensions took 0.00s
Running on local URL:  http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 479.1s (import torch: 3.3s, import gradio: 2.0s, import ldm: 0.8s, other imports: 4.2s, setup codeformer: 0.3s, list SD models: 466.4s, load scripts: 1.4s, create ui: 0.5s, gradio launch: 0.1s).
6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa
Loading weights [6ce0161689] from D:\sdnext\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Creating model from config: D:\sdnext\stable-diffusion-webui-directml\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying attention optimization: InvokeAI... done.
Textual inversion embeddings loaded(0):
Model loaded in 8.4s (calculate hash: 4.1s, load weights from disk: 0.2s, create model: 0.5s, apply weights to model: 0.8s, apply half(): 0.8s, move model to device: 1.4s, calculate empty prompt: 0.6s).

標準状態で起動させて生成を行っていると途中でクラッシュした

もう１回生成させたらブルースクリーンで止まった。

webui-user.bat をコピーして、 COMMANDLINE_ARGSのある行を「set COMMANDLINE_ARGS=–opt-sub-quad-attention –lowvram –disable-nan-check」に変えることで生成に成功した。

ちゃんとGPUで計算して生成に成功しました。

PS D:\sdnext\stable-diffusion-webui-directml> .\webui-user2.bat
venv "D:\sdnext\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: ## 1.4.0
Commit hash: 265d626471eacd617321bdb51e50e4b87a7ca82e
Installing requirements
Launching Web UI with arguments: --opt-sub-quad-attention --lowvram --disable-nan-check
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Loading weights [6ce0161689] from D:\sdnext\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
preload_extensions_git_metadata for 7 extensions took 0.00s
Creating model from config: D:\sdnext\stable-diffusion-webui-directml\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Running on local URL:  http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 11.1s (import torch: 2.8s, import gradio: 1.3s, import ldm: 0.6s, other imports: 3.9s, setup codeformer: 0.1s, load scripts: 1.3s, create ui: 0.7s, gradio launch: 0.4s).
DiffusionWrapper has 859.52 M params.
Applying attention optimization: sub-quadratic... done.
Textual inversion embeddings loaded(0):
Model loaded in 14.4s (load weights from disk: 0.9s, create model: 0.6s, apply weights to model: 11.6s, apply half(): 0.8s, calculate empty prompt: 0.5s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [02:32<00:00,  7.64s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [02:29<00:00,  7.48s/it]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [02:30<00:00,  7.54s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [02:28<00:00,  7.44s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [02:28<00:00,  7.63s/it]

4) 出力メッセージの精査

「No module ‘xformers’. Proceeding without it.」はnVidia GPUじゃないと動かないのでこれは正常動作。

5) 学習モデルを持ってくる

参考:Stable Diffusion v2モデル_H2-2023

拡張子safetensorsのファイルは models\Stable-diffusion に配置した。

6) ControlNet追加

ControlNetを web uiに組み込める形にした ControlNet for Stable Diffusion WebUI

(SD.Nextだと組み込み済みだが、オリジナルの方は追加する)

Web GUIの「Extensions」の「Install from URL」に「https://github.com/Mikubill/sd-webui-controlnet.git」を入れて、手順を行う

Modelをhttps://huggingface.co/lllyasviel/ControlNet-v1-1/tree/main からダウンロードする、とあったのだが、既におかれていたので不要なのかなぁ？

とりあえず設定はしてみたけど、まだ使っていない。

追加:Ryzen 7 5800Hの場合

Ryzen 7 5800H環境でも同じように設定してみたのだが、こちらは何も生成しないうちにcontrolenetを組み込んでみたらエラーとなった。

PS C:\stablediff\stable-diffusion-webui-directml> .\webui-user-amd.bat
venv "C:\stablediff\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: ## 1.4.0
Commit hash: 265d626471eacd617321bdb51e50e4b87a7ca82e
Installing requirements
Launching Web UI with arguments: --opt-sub-quad-attention --lowvram --disable-nan-check --autolaunch
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
reading checkpoint metadata: C:\stablediff\stable-diffusion-webui-directml\models\Stable-diffusion\unlimitedReplicant_v10.safetensors: AssertionError
Traceback (most recent call last):
  File "C:\stablediff\stable-diffusion-webui-directml\modules\sd_models.py", line 62, in __init__
    self.metadata = read_metadata_from_safetensors(filename)
  File "C:\stablediff\stable-diffusion-webui-directml\modules\sd_models.py", line 236, in read_metadata_from_safetensors
    assert metadata_len > 2 and json_start in (b'{"', b"{'"), f"{filename} is not a safetensors file"
AssertionError: C:\stablediff\stable-diffusion-webui-directml\models\Stable-diffusion\unlimitedReplicant_v10.safetensors is not a safetensors file
2023-07-12 13:46:53,471 - ControlNet - INFO - ControlNet v1.1.232
ControlNet preprocessor location: C:\stablediff\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\annotator\downloads
2023-07-12 13:46:53,548 - ControlNet - INFO - ControlNet v1.1.232
Loading weights [c348e5681e] from C:\stablediff\stable-diffusion-webui-directml\models\Stable-diffusion\muaccamix_v15.safetensors
preload_extensions_git_metadata for 8 extensions took 0.13s
Running on local URL:  http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 7.2s (import torch: 2.2s, import gradio: 1.0s, import ldm: 0.5s, other imports: 1.2s, load scripts: 1.3s, create ui: 0.4s, gradio launch: 0.5s).
Creating model from config: C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\configs\stable-diffusion\v2-inference-v.yaml
LatentDiffusion: Running in v-prediction mode
DiffusionWrapper has 865.91 M params.
Applying attention optimization: sub-quadratic... done.
Textual inversion embeddings loaded(0):
Model loaded in 7.1s (load weights from disk: 0.7s, find config: 2.4s, create model: 0.2s, apply weights to model: 1.9s, apply half(): 1.0s, move model to device: 0.3s, calculate empty prompt: 0.4s).
Loading weights [e3b0c44298] from C:\stablediff\stable-diffusion-webui-directml\models\Stable-diffusion\unlimitedReplicant_v10.safetensors
changing setting sd_model_checkpoint to unlimitedReplicant_v10.safetensors [e3b0c44298]: SafetensorError
Traceback (most recent call last):
  File "C:\stablediff\stable-diffusion-webui-directml\modules\shared.py", line 610, in set
    self.data_labels[key].onchange()
  File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 13, in f
    res = func(*args, **kwargs)
  File "C:\stablediff\stable-diffusion-webui-directml\webui.py", line 226, in <lambda>
    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
  File "C:\stablediff\stable-diffusion-webui-directml\modules\sd_models.py", line 568, in reload_model_weights
    state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
  File "C:\stablediff\stable-diffusion-webui-directml\modules\sd_models.py", line 277, in get_checkpoint_state_dict
    res = read_state_dict(checkpoint_info.filename)
  File "C:\stablediff\stable-diffusion-webui-directml\modules\sd_models.py", line 256, in read_state_dict
    pl_sd = safetensors.torch.load_file(checkpoint_file, device=device)
  File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\safetensors\torch.py", line 259, in load_file
    with safe_open(filename, framework="pt", device=device) as f:
safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooSmall
*** Error completing request
*** Arguments: ('task(d0d406cu3531u31)', 'miku\n', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FAA7416110>, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, 50) {}
    Traceback (most recent call last):
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\txt2img.py", line 94, in txt2img
        processed = processing.process_images(p)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 623, in process_images
        res = process_images_inner(p)
      File "C:\stablediff\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 732, in process_images_inner
        p.setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 1129, in setup_conds
        super().setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 346, in setup_conds
        self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, self.negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 338, in get_conds_with_caching
        cache[1] = function(shared.sd_model, required_prompts, steps)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\prompt_parser.py", line 143, in get_learned_conditioning
        conds = model.get_learned_conditioning(texts)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 665, in get_learned_conditioning
        c = self.cond_stage_model.encode(c)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 236, in encode
        return self(text)
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 213, in forward
        z = self.encode_with_transformer(tokens.to(self.device))
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\__init__.py", line 239, in _lazy_init
        raise AssertionError("Torch not compiled with CUDA enabled")
    AssertionError: Torch not compiled with CUDA enabled
---
*** Error completing request
*** Arguments: ('task(rw9uda96ly6wovo)', 'miku\n', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FA000A6620>, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, 50) {}
    Traceback (most recent call last):
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\txt2img.py", line 94, in txt2img
        processed = processing.process_images(p)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 623, in process_images
        res = process_images_inner(p)
      File "C:\stablediff\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 732, in process_images_inner
        p.setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 1129, in setup_conds
        super().setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 346, in setup_conds
        self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, self.negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 338, in get_conds_with_caching
        cache[1] = function(shared.sd_model, required_prompts, steps)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\prompt_parser.py", line 143, in get_learned_conditioning
        conds = model.get_learned_conditioning(texts)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 665, in get_learned_conditioning
        c = self.cond_stage_model.encode(c)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 236, in encode
        return self(text)
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 213, in forward
        z = self.encode_with_transformer(tokens.to(self.device))
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\__init__.py", line 239, in _lazy_init
        raise AssertionError("Torch not compiled with CUDA enabled")
    AssertionError: Torch not compiled with CUDA enabled
---
*** Error completing request
*** Arguments: ('task(qgndomumiw4zfai)', 'miku\n', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FAA6F229E0>, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, 50) {}
    Traceback (most recent call last):
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\txt2img.py", line 94, in txt2img
        processed = processing.process_images(p)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 623, in process_images
        res = process_images_inner(p)
      File "C:\stablediff\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 732, in process_images_inner
        p.setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 1129, in setup_conds
        super().setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 346, in setup_conds
        self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, self.negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 338, in get_conds_with_caching
        cache[1] = function(shared.sd_model, required_prompts, steps)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\prompt_parser.py", line 143, in get_learned_conditioning
        conds = model.get_learned_conditioning(texts)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 665, in get_learned_conditioning
        c = self.cond_stage_model.encode(c)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 236, in encode
        return self(text)
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 213, in forward
        z = self.encode_with_transformer(tokens.to(self.device))
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\__init__.py", line 239, in _lazy_init
        raise AssertionError("Torch not compiled with CUDA enabled")
    AssertionError: Torch not compiled with CUDA enabled
---
Restarting UI...
Closing server running on port: 7860
2023-07-12 13:54:32,359 - ControlNet - INFO - ControlNet v1.1.232
Running on local URL:  http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 0.6s (load scripts: 0.3s, create ui: 0.2s).
preload_extensions_git_metadata for 8 extensions took 0.15s
*** Error completing request
*** Arguments: ('task(jwkb7fcvkg7wpb4)', 'miku', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FB1BC5F010>, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, 50) {}
    Traceback (most recent call last):
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "C:\stablediff\stable-diffusion-webui-directml\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\txt2img.py", line 94, in txt2img
        processed = processing.process_images(p)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 623, in process_images
        res = process_images_inner(p)
      File "C:\stablediff\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 732, in process_images_inner
        p.setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 1129, in setup_conds
        super().setup_conds()
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 346, in setup_conds
        self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, self.negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\processing.py", line 338, in get_conds_with_caching
        cache[1] = function(shared.sd_model, required_prompts, steps)
      File "C:\stablediff\stable-diffusion-webui-directml\modules\prompt_parser.py", line 143, in get_learned_conditioning
        conds = model.get_learned_conditioning(texts)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 665, in get_learned_conditioning
        c = self.cond_stage_model.encode(c)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 236, in encode
        return self(text)
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 213, in forward
        z = self.encode_with_transformer(tokens.to(self.device))
      File "C:\stablediff\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\__init__.py", line 239, in _lazy_init
        raise AssertionError("Torch not compiled with CUDA enabled")
    AssertionError: Torch not compiled with CUDA enabled
---
fatal: No names found, cannot describe anything.
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: ## 1.4.0
Commit hash: 265d626471eacd617321bdb51e50e4b87a7ca82e
Installing requirements
Launching Web UI with arguments: --opt-sub-quad-attention --lowvram --disable-nan-check --autolaunch
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Loading weights [c348e5681e] from C:\stablediff\stable-diffusion-webui-directml\models\Stable-diffusion\muaccamix_v15.safetensors
preload_extensions_git_metadata for 8 extensions took 0.13s
Running on local URL:  http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 6.6s (import torch: 2.2s, import gradio: 1.0s, import ldm: 0.5s, other imports: 1.2s, load scripts: 1.0s, create ui: 0.5s, gradio launch: 0.2s).
Creating model from config: C:\stablediff\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\configs\stable-diffusion\v2-inference-v.yaml
LatentDiffusion: Running in v-prediction mode
DiffusionWrapper has 865.91 M params.
Applying attention optimization: sub-quadratic... done.
Textual inversion embeddings loaded(0):
Model loaded in 6.3s (load weights from disk: 0.7s, find config: 1.7s, create model: 0.6s, apply weights to model: 1.6s, apply half(): 1.0s, move model to device: 0.3s, calculate empty prompt: 0.4s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [01:44<00:00,  5.23s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [01:41<00:00,  5.06s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [01:41<00:00,  5.08s/it]

もしかしていきなりcontrole netを有効にしたせいかな？と一度無効化したところ正常動作した。

1回正常動作を確認後、再びctonrole net有効にしたら今度は問題なく動作した・・・なぜ？

生成時間比較

Ryzen 5 5600GとRyzen 7 5800H比較のため、モデルUnlimited Replicantを使って「miku」とだけ指定して生成してみたところ

Ryzen 7 5800Hでの生成時間

Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [01:39<00:00,  5.03s/it]

Ryzen 5 5600Gでの生成時間

Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [02:22<00:00,  7.23s/it]
投稿日:

Rstudio Serverの設定で分からなかったことのメモ

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Rstudio ServerをRHEL9環境にインストールした際に悩んだことのメモ

その1: 新規作成プロジェクトでのpythonパスを指定したい

ユーザのホームディレクトリに「.Renviron」というファイルを作って 環境変数 RETICULATE_PYTHON を定義する。

RETICULATE_PYTHON="/usr/local/python3/bin/python"

なお、今回は~/.Renviron ファイルを使ったが、「Managing R with .Rprofile, .Renviron, Rprofile.site, Renviron.site, rsession.conf, and repos.conf」の記述を見ると、いろいろある。

システム全体の設定としては $R_HOME/etc/Renviron がある。

検証環境の場合 /opt/R/4.1.3/lib/R/etc/Renviron にあった

### etc/Renviron.  Generated from Renviron.in by configure.
###
### ${R_HOME}/etc/Renviron
###
### Record R system environment variables.

## As from R 4.0.0 the C code reading this follows the POSIX rules
## for parameter substitution in shells, section 2.6.2 of
## https://pubs.opengroup.org/onlinepubs/9699919799/utilities/V3_chap02.html#tag_18
## In earlier versions ${FOO-bar} was interpreted the same as ${FOO:-bar}

R_PLATFORM=${R_PLATFORM-'x86_64-pc-linux-gnu'}
## Default printer paper size: first record if user set R_PAPERSIZE
R_PAPERSIZE_USER=${R_PAPERSIZE}
R_PAPERSIZE=${R_PAPERSIZE-'letter'}
## Default print command
R_PRINTCMD=${R_PRINTCMD-'/usr/bin/lpr'}
# for Rd2pdf, reference manual
R_RD4PDF=${R_RD4PDF-'times,hyper'}
## used for options("texi2dvi")
R_TEXI2DVICMD=${R_TEXI2DVICMD-${TEXI2DVI-'/usr/bin/texi2dvi'}}
## used by untar(support_old_tars = TRUE) and installing grDevices
R_GZIPCMD=${R_GZIPCMD-'/usr/bin/gzip'}
## Default zip/unzip commands
R_UNZIPCMD=${R_UNZIPCMD-'/usr/bin/unzip'}
R_ZIPCMD=${R_ZIPCMD-'/usr/bin/zip'}
R_BZIPCMD=${R_BZIPCMD-'/usr/bin/bzip2'}
## Default browser
R_BROWSER=${R_BROWSER-'xdg-open'}
## Default editor
EDITOR=${EDITOR-${VISUAL-vi}}
## Default pager
PAGER=${PAGER-'/usr/bin/less'}
## Default PDF viewer
R_PDFVIEWER=${R_PDFVIEWER-''}
## Used by libtool
LN_S='ln -s'
MAKE=${MAKE-'make'}
## Prefer a POSIX-compliant sed on e.g. Solaris
SED=${SED-'/usr/bin/sed'}
## Prefer a tar that can automagically read compressed archives
TAR=${TAR-'/usr/bin/gtar'}

## System and compiler types.
R_SYSTEM_ABI='linux,gcc,gxx,gfortran,gfortran'

## Strip shared objects and static libraries.
R_STRIP_SHARED_LIB=${R_STRIP_SHARED_LIB-'strip --strip-unneeded'}
R_STRIP_STATIC_LIB=${R_STRIP_STATIC_LIB-'strip --strip-debug'}

R_LIBS_USER=${R_LIBS_USER-'~/R/x86_64-pc-linux-gnu-library/4.1'}
#R_LIBS_USER=${R_LIBS_USER-'~/Library/R//4.1/library'}

### Local Variables: ***
### mode: sh ***
### sh-indentation: 2 ***
### End: ***

しかし、これを直接編集はしてはいけない。

/opt/R/4.1.3/lib/R/etc/Renviron.site というファイルを新規で作成し、 「RETICULATE_PYTHON=”/usr/local/python3/bin/python”」とか書くことで全体適用となる。

これは、/opt/R/4.1.3/lib/R/etc/Renviron の方は、Rのバージョンアップで設定値が変わる可能性があるので、特有の設定はファイルを分離しておく、というものになっている。

その2: アクセスログ

Rstudio ServerのWeb UIから誰がログインしたのか、というログがどこに出るのか？

どうやら、Pro版のみの機能の模様で、 /etc/rstudio/rserver.conf に「server-access-log=1」と設定するようだが、ライセンスがないと、この設定が入っているとRstudio serverが起動しない。

わざとパスワードを間違えたりすると /var/log/secure にログがでるので、/etc/pam.d/rstudio の内容を/etc/pam.d/sshd と同じにすれば、rstudioでログインに成功した場合でも同じようにログイン成功時もログ出力があるかと思ったのですが、出力されず。

・・・ただ、pamtesterコマンドで動作検証してみたところ、rstudioでもsshdでもログイン成功時に出力していない・・・もしかしてsshでログイン成功した時に/var/log/secureに出力しているのはpamd経由ではない？？

rstudioでパスワード間違え

[root@rhel9 rstudio]# pamtester -v rstudio testuser authenticate
pamtester: invoking pam_start(rstudio, testuser, ...)
pamtester: performing operation - authenticate
Password:
pamtester: Authentication failure
[root@rhel9 rstudio]#

/var/log/secureの出力内容

Apr  5 17:50:51 rhel9 unix_chkpwd[41719]: password check failed for user (testuser)
Apr  5 17:50:51 rhel9 pamtester[41717]: pam_unix(rstudio:auth): authentication failure; logname=root uid=0 euid=0 tty= ruser= rhost=  user=testuser

rstudioでパスワード正しく

[root@rhel9 rstudio]# pamtester -v rstudio testuser authenticate
pamtester: invoking pam_start(rstudio, testuser, ...)
pamtester: performing operation - authenticate
Password:
pamtester: successfully authenticated
[root@rhel9 rstudio]#

/var/log/secureへの出力は無い

sshdでパスワード誤り

[root@rhel9 rstudio]# pamtester -v sshd testuser authenticate
pamtester: invoking pam_start(sshd, testuser, ...)
pamtester: performing operation - authenticate
Password:
pamtester: Authentication failure
[root@rhel9 rstudio]#

/var/log/secureへ出力あり

Apr  5 17:51:09 rhel9 unix_chkpwd[41726]: password check failed for user (testuser)
Apr  5 17:51:09 rhel9 pamtester[41724]: pam_unix(sshd:auth): authentication failure; logname=root uid=0 euid=0 tty= ruser= rhost=  user=testuser

sshdでパスワード正しく

[root@rhel9 rstudio]# pamtester -v sshd testuser authenticate
pamtester: invoking pam_start(sshd, testuser, ...)
pamtester: performing operation - authenticate
Password:
pamtester: successfully authenticated
[root@rhel9 rstudio]#

/var/log/secureに出力無し

投稿日:

Rstudio Serverの動作確認で使ったRとpythonのサンプル

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Rstudio Serverの動作確認で使用したRとpythonのサンプルをメモとして残しておく

Rを実行したマシンのスペック確認

# https://www.karada-good.net/analyticsr/r-330/
#パッケージのインストール
# RHEL9+renv環境だとdevtoolsのインストールで失敗した
install.packages("rlang")
install.packages("devtools")
devtools::install_github("csgillespie/benchmarkme")
#パッケージの読み込み
library("benchmarkme")

#全てのベンチマークを実行:benchmark_stdコマンド
#各ベンチマークの詳細はヘルプを参照
res <- benchmark_std()
#結果をプロット
plot(res)

#CPU情報の取得:get_cpuコマンド
get_cpu()

#使用環境情報の取得:get_platform_infoコマンド
get_platform_info()

#使用中のRの情報を取得:get_r_versionコマンド
get_r_version()


#システム情報に関する全コマンドを実施:get_sys_detailsコマンド
#Sys.info(),get_platform_info(),get_r_version(),get_ram(),get_cpu()
#get_byte_compiler(),get_linear_algebra(),installed.packages(),実行時間のコマン ドを実施
#表示が多いので省略
get_sys_details()

Rでgrid描画のテスト

#http://www.okadajp.org/RWiki/?grid+%E3%83%91%E3%83%83%E3%82%B1%E3%83%BC%E3%82%B8%E4%BA%8B%E5%A7%8B

library(grid)

grid.multipanel(vp=viewport(0.5, 0.5, 0.8, 0.8))  # デモ(1)
grid.plot.and.legend()                            # デモ(2)
grid.plot.and.legend                              # 関数定義

grid.newpage()
#grid.arrows(x = c(0.25, 0.75), y = 0.5)
grid.circle(x=0.5, y=0.5, r=0.5)
grid.frame(name=NULL, gp=gpar(), vp=NULL)
grid.grill(h = seq(0.25, 0.75, 0.25), v = seq(0.25, 0.75, 0.25))

grid.lines(x = c(0.25, 0.75), y = 0.5)
grid.line.to(x=1, y=1)

grid.polygon(x=c(0, 0.5, 1, 0.5), y=c(0.5, 1, 0.5, 0))
grid.rect(x = 0.5, y = 0.5, width = 0.7, height = 0.3)
grid.segments(x0 = 0, y0 = 0, x1 = 0.5, y1 = 0.5)
grid.text(label="abc", x = 0.5, y = 0.5)
grid.text(label="g実験g", x = 0.8, y = 0.5)
grid.xaxis(at = NULL, label = T, main = T, name = NULL)
grid.yaxis(at = NULL, label = T, main = T, name = NULL)

pythonとtensorflow/cudaのサンプル

import tensorflow as tf
import torch
torch.cuda.is_available()

mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(),
  tf.keras.layers.Dense(512, activation=tf.nn.relu),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation=tf.nn.softmax)
])
model.compile(optimizer='adam',
              loss='sparse_categorical_crossentropy',
              metrics=['accuracy'])

model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test)

rstanのサンプル

# http://www.psy.ritsumei.ac.jp/~hoshino/Wsl/

install.packages("rstan")
install.packages("cmdstanr", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))
library(cmdstanr)
install_cmdstan()

# https://estuarine.jp/2018/01/install-rstan/
# https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started-(Japanese)
library(rstan)
options(mc.cores = parallel::detectCores())
rstan_options(auto_write = TRUE)

# 例 1: Eight Schools
schools_dat <- list(J = 8,
                    y = c(28,  8, -3,  7, -1,  1, 18, 12),
                    sigma = c(15, 10, 16, 11,  9, 11, 10, 18))
fit <- stan(file = 'rstan-sample-input.stan', data = schools_dat)
# ↑ の処理は時間がかかる
print(fit)
plot(fit)
pairs(fit, pars = c("mu", "tau", "lp__"))

la <- extract(fit, permuted = TRUE) # arraysのlistを返す
mu <- la$mu

### iterations, chains, parametersの3次元arrayを返す
a <- extract(fit, permuted = FALSE)

### stanfitオブジェクトにS3関数を使う
a2 <- as.array(fit)
m <- as.matrix(fit)
d <- as.data.frame(fit)

上記サンプル用のデータファイル rstan-sample-input.stan

data {
  int<lower=0> J;         // 学校の数
  real y[J];              // 推定されている教育の効果
  real<lower=0> sigma[J]; // 教育の効果の標準誤差
}

parameters {
  real mu;                // 処置の効果（全体平均）
  real<lower=0> tau;      // 処置の効果の標準偏差
  vector[J] eta;          // 学校ごとのスケール前のバラつき
}

transformed parameters {
  vector[J] theta = mu + tau * eta;        // 学校ごとの処置の効果
}

model {
  target += normal_lpdf(eta | 0, 1);       // 事前分布の対数密度
  target += normal_lpdf(y | theta, sigma); // 対数尤度
}

Rでラインを引く

# https://www.library.osaka-u.ac.jp/doc/TA_2014_01.pdf

temperature<-c(22,23,23,24,24,25,25,25,26,26)
coffee<-c(100,103,105,110,118,118,120,122,124,125)
plot(temperature,coffee)

plot(temperature,coffee,
     xlim=c(20,30),
     ylim=c(90,130),
     main=("コーヒーの売れ行き"),
     pch=17
)
prd<-lm(coffee~temperature)
abline(prd)
投稿日:

Rstudio server上でRを使う時に追加しておいた方がいいRHELパッケージのメモ

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Rstudio serverをRHEL9上で動かす際にR側でいろいろパッケージを追加する際に必要となるパッケージがあったので、そのメモ

まずは基本

「dnf groupinstall “開発ツール”」で開発ツールをインストール

tidyverseに必要だったもの

install.packages(“tidyverse”) でtidyverseを追加しようとしたら前提となるraggのインストールがfontconfigコマンドが無いことで失敗

→ fontconfig-devel

次のエラーがfribidi was not found in the pkg-config search path

→ fribidi-devel
→ libtiff-devel
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Rstudio serverでpythonスクリプトを使う際に、追加パッケージを要求されるが、それが必要としているもの

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投稿日:

PowerShellから直接ssh接続でNetAppにログインして設定情報を取得してCSV化するスクリプト

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先日「NetAppの設定内容をcsvファイルに出力したい」という記事で手動でやる手法について記載した。

最近のWindowsだと直接sshコマンドが実行できるようになっているので、NetApp側に公開鍵を登録して、パスワードなしでアクセスできるように設定した上で、PowerShellスクリプトを実行することで、設定をスクリプト化できないかを実施してみた。

とりあえず全項目とればいいか、と「-showallfields true」設定でやっているが、下記スクリプトはONTAP 9.10.1の場合のもので、バージョンが異なると全部の項目数が変わる可能性があるので、一度手動で「set -privilege admin -rows 0 -units GB -showallfields true ; vserver cifs share show”」を実行し、出力される項目名を確認しておくこと

# タブ区切りのため `t を指定
$count=0
$flag=0
$results=@()

$results=cmd /c ssh.exe -l admin NetAppクラスタ "set -privilege admin -rows 0 -showseparator `t -units GB -showallfields true ; vserver cifs share show" | ForEach-Object {
    $line=$_.split("`t")
    if(($line[0] -eq "vserver") -and ($flag -eq 0)){
        $flag=1
        $titlecount=$count
    }
    if(($flag -eq 1) -and ($count -gt ($titlecount+1))){
        $output = New-Object -TypeName psobject
        $output | Add-Member -MemberType NoteProperty -Name "vserver" -Value $line[0]
        $output | Add-Member -MemberType NoteProperty -Name "share-name" -Value $line[1]
        $output | Add-Member -MemberType NoteProperty -Name "cifs-server" -Value $line[2]
        $output | Add-Member -MemberType NoteProperty -Name "path" -Value $line[3]
        $output | Add-Member -MemberType NoteProperty -Name "share-properties" -Value $line[4]
        $output | Add-Member -MemberType NoteProperty -Name "symlink-properties" -Value $line[5]
        $output | Add-Member -MemberType NoteProperty -Name "file-umask" -Value $line[6]
        $output | Add-Member -MemberType NoteProperty -Name "dir-umask" -Value $line[7]
        $output | Add-Member -MemberType NoteProperty -Name "comment" -Value $line[8]
        $output | Add-Member -MemberType NoteProperty -Name "acl" -Value $line[9]
        $output | Add-Member -MemberType NoteProperty -Name "attribute-cache-ttl" -Value $line[10]
        $output | Add-Member -MemberType NoteProperty -Name "volume" -Value $line[11]
        $output | Add-Member -MemberType NoteProperty -Name "offline-file" -Value $line[12]
        $output | Add-Member -MemberType NoteProperty -Name "vscan-fileop-profile" -Value $line[13]
        $output | Add-Member -MemberType NoteProperty -Name "max-connections-per-share" -Value $line[14]
        $output | Add-Member -MemberType NoteProperty -Name "force-group-for-create" -Value $line[15]
        $output
    }
    $count++
}

$results | Export-Csv test.csv -Encoding UTF8 -NoTypeInformation  -NoClobber