Stable Diffusion Web UIをインストールする！（Ubuntu Desktop 22.04／CUDA）
Ubuntu Desktop 22.04で、NVIDIAのGPUありの環境で、Stable Diffusion Web UIをインストールします。
記事の目次
PyTorchをインストールする！
以下の記事を参考にPyTorchをインストールします。
Gitをインストールする！
Gitがインストールされていない場合は、Gitを標準のリポジトリからインストールします。
$ sudo apt install git
Git HubからStable Diffusion Web UIをダウンロードする！
Git HubからStable Diffusion Web UIをインストールします。
$ git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui Cloning into 'stable-diffusion-webui'... remote: Enumerating objects: 26588, done. remote: Counting objects: 100% (17/17), done. remote: Compressing objects: 100% (10/10), done. remote: Total 26588 (delta 7), reused 14 (delta 7), pack-reused 26571 Receiving objects: 100% (26588/26588), 31.91 MiB | 21.43 MiB/s, done. Resolving deltas: 100% (18632/18632), done.
Stable Diffusion Web UIのディレクトリに移動する！
Stable Diffution Web UIをダウンロードしたディレクトリに移動します。
$ cd stable-diffusion-webui
Stable Diffusion Web UIを起動する！
Stable Diffusion Web UIを起動します。少し時間がかかります。アクセスするためのURLが表示されればインストール完了です。プロンプトは終了しないので注意しましょう。
$ python3 launch.py Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] Version: v1.5.2 Commit hash: c9c8485bc1e8720aba70f029d25cba1c4abf2b5c Installing gfpgan Installing clip Installing open_clip Cloning Stable Diffusion into /home/usradmin/stable-diffusion-webui/repositories/stable-diffusion-stability-ai... Cloning into '/home/usradmin/stable-diffusion-webui/repositories/stable-diffusion-stability-ai'... remote: Enumerating objects: 574, done. remote: Counting objects: 100% (304/304), done. remote: Compressing objects: 100% (86/86), done. remote: Total 574 (delta 244), reused 218 (delta 218), pack-reused 270 Receiving objects: 100% (574/574), 73.43 MiB | 24.17 MiB/s, done. Resolving deltas: 100% (276/276), done. Cloning Stable Diffusion XL into /home/usradmin/stable-diffusion-webui/repositories/generative-models... Cloning into '/home/usradmin/stable-diffusion-webui/repositories/generative-models'... remote: Enumerating objects: 740, done. remote: Counting objects: 100% (563/563), done. remote: Compressing objects: 100% (286/286), done. remote: Total 740 (delta 337), reused 424 (delta 263), pack-reused 177 Receiving objects: 100% (740/740), 22.32 MiB | 18.58 MiB/s, done. Resolving deltas: 100% (375/375), done. Cloning K-diffusion into /home/usradmin/stable-diffusion-webui/repositories/k-diffusion... Cloning into '/home/usradmin/stable-diffusion-webui/repositories/k-diffusion'... remote: Enumerating objects: 949, done. remote: Counting objects: 100% (225/225), done. remote: Compressing objects: 100% (125/125), done. remote: Total 949 (delta 146), reused 172 (delta 100), pack-reused 724 Receiving objects: 100% (949/949), 206.24 KiB | 1.93 MiB/s, done. Resolving deltas: 100% (623/623), done. Cloning CodeFormer into /home/usradmin/stable-diffusion-webui/repositories/CodeFormer... Cloning into '/home/usradmin/stable-diffusion-webui/repositories/CodeFormer'... remote: Enumerating objects: 594, done. remote: Counting objects: 100% (245/245), done. remote: Compressing objects: 100% (98/98), done. remote: Total 594 (delta 176), reused 167 (delta 147), pack-reused 349 Receiving objects: 100% (594/594), 17.31 MiB | 11.49 MiB/s, done. Resolving deltas: 100% (287/287), done. Cloning BLIP into /home/usradmin/stable-diffusion-webui/repositories/BLIP... Cloning into '/home/usradmin/stable-diffusion-webui/repositories/BLIP'... remote: Enumerating objects: 277, done. remote: Counting objects: 100% (165/165), done. remote: Compressing objects: 100% (30/30), done. remote: Total 277 (delta 137), reused 136 (delta 135), pack-reused 112 Receiving objects: 100% (277/277), 7.03 MiB | 16.08 MiB/s, done. Resolving deltas: 100% (152/152), done. Installing requirements for CodeFormer Installing requirements Launching Web UI with arguments: no module 'xformers'. Processing without... no module 'xformers'. Processing without... No module 'xformers'. Proceeding without it. Downloading: "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" to /home/usradmin/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors 100%|██████████████████████████████████████████████████████████████████████████████| 3.97G/3.97G [01:17<00:00, 54.9MB/s] Calculating sha256 for /home/usradmin/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors: Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Startup time: 175.9s (launcher: 90.6s, import torch: 2.7s, import gradio: 0.7s, setup paths: 0.6s, other imports: 1.4s, list SD models: 79.0s, load scripts: 0.4s, create ui: 0.3s). 6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa Loading weights [6ce0161689] from /home/usradmin/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors Creating model from config: /home/usradmin/stable-diffusion-webui/configs/v1-inference.yaml LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. Downloading (…)olve/main/vocab.json: 100%|███████████████████████████████████████████| 961k/961k [00:00<00:00, 1.43MB/s] Downloading (…)olve/main/merges.txt: 100%|███████████████████████████████████████████| 525k/525k [00:00<00:00, 1.01MB/s] Downloading (…)cial_tokens_map.json: 100%|█████████████████████████████████████████████| 389/389 [00:00<00:00, 2.85MB/s] Downloading (…)okenizer_config.json: 100%|█████████████████████████████████████████████| 905/905 [00:00<00:00, 6.31MB/s] Downloading (…)lve/main/config.json: 100%|█████████████████████████████████████████| 4.52k/4.52k [00:00<00:00, 24.1MB/s] Applying attention optimization: Doggettx... done. Model loaded in 15.0s (calculate hash: 8.8s, load weights from disk: 0.2s, create model: 4.4s, apply weights to model: 0.7s, apply half(): 0.5s, move model to device: 0.3s).
Stable Diffution Web UIにアクセスする！
表示された以下のURLにアクセスするとStable DiffusionのWeb UI画面にアクセスできます。
http://127.0.0.1:7860
CUDAのメモリ不足が発生したら・・・
以下のようにCUDAのメモリ不足が発生することがあります。
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0; 2.95 GiB total capacity; 2.18 GiB already allocated; 65.62 MiB free; 2.27 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
その場合は、少ないメモリでも動作するように、「--lowvram --xformers」のオプションを指定して起動し直します。
$ python3 launch.py --lowvram --xformers Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] Version: v1.5.2 Commit hash: c9c8485bc1e8720aba70f029d25cba1c4abf2b5c Installing xformers Launching Web UI with arguments: --lowvram --xformers Loading weights [6ce0161689] from /home/usradmin/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors Running on local URL: http://127.0.0.1:7860 ...
おわりに
Stable Diffusion Web UIは、GitHubからダウンロードすることができます。
参考情報
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