{"id":863,"date":"2023-03-18T22:56:09","date_gmt":"2023-03-18T13:56:09","guid":{"rendered":"https:\/\/fukugyouhistory.tokyo\/?p=863"},"modified":"2023-03-27T12:03:47","modified_gmt":"2023-03-27T03:03:47","slug":"stable-diffusion%ef%bc%88img2img%ef%bc%89-hugging-face%e3%80%80%e7%94%bb%e5%83%8f%e3%82%92%e5%85%83%e3%81%ab%e8%87%aa%e5%8b%95%e3%81%8a%e7%b5%b5%e3%81%8b%e3%81%8dai%e3%80%80%e7%b0%a1%e5%8d%98","status":"publish","type":"post","link":"https:\/\/fukugyouhistory.tokyo\/?p=863","title":{"rendered":"Stable Diffusion (img2img) + Hugging Face\u3000\u753b\u50cf\u3092\u5143\u306b\u81ea\u52d5\u304a\u7d75\u304b\u304dAI\u3000\u7c21\u5358\u306b\u4f7f\u3063\u3066\u307f\u305f"},"content":{"rendered":"\n

\u524d\u56de\u306f\u3001\u6587\u5b57\uff08prompt\uff09\u3092\u5143\u306b\u3057\u305f\u81ea\u52d5\u304a\u7d75\u304b\u304dAI<\/a>\u306e\u8a18\u4e8b\u3092\u66f8\u304d\u307e\u3057\u305f\u3002
\u4eca\u56de\u306f\u3001\u753b\u50cf\u3092\u5143\u306b\u3057\u305f\u81ea\u52d5\u304a\u7d75\u304b\u304dAI\uff08img2img\uff09\u306e\u8a18\u4e8b\u3092\u66f8\u304d\u305f\u3044\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u524d\u56de\u306e\u8a18\u4e8b\u306e\u4e2d\u304b\u3089\u3001\u5fc5\u8981\u306a\u90e8\u5206\u306e\u307f\u518d\u5ea6\u8a18\u8ff0\u3057\u3066\u3001\u753b\u50cf\u3092\u5143\u306b\u3057\u305f\u81ea\u52d5\u304a\u7d75\u304b\u304dAI\uff08img2img\uff09\u306e\u624b\u9806\u306b\u3064\u3044\u3066\u66f8\u3044\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n\n\n\n\n

<\/p>\n\n\n\n

Hugging Face<\/h2>\n\n\n\n

\u30a2\u30af\u30bb\u30b9\u30c8\u30fc\u30af\u30f3\u3092\u53d6\u5f97\u3059\u308b<\/h3>\n\n\n\n

Hugging Face<\/a>\u3067\u63d0\u4f9b\u3057\u3066\u3044\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u305f\u3081\u306e\u30c8\u30fc\u30af\u30f3\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002
\u7121\u6599\u3067\u3067\u304d\u307e\u3059\u306e\u3067\u3001\u5b9f\u65bd\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

Hugging Face<\/a>\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3001\u53f3\u4e0a\u306e\u300cSign Up\u300d\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u767b\u9332\u3059\u308b\u3068\u3001\u30e1\u30fc\u30eb\u3067\u306e\u8a8d\u8a3c\u78ba\u8a8d\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u5fd8\u308c\u305a\u306b\u884c\u3044\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

\u30d7\u30ed\u30d5\u30a3\u30fc\u30eb\u30da\u30fc\u30b8\u304b\u3089\u3001\u300cAccess Token\u300d\u306b\u79fb\u52d5\u3057\u3001\u300cNew Token\u300d\u30dc\u30bf\u30f3\u3092\u62bc\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u5f8c\u307b\u3069\u3001python\u306e\u30b3\u30fc\u30c9\u5185\u3067Hugging Face\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u6642\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002
\u672c\u30c8\u30fc\u30af\u30f3\u306f\u3001\u4ed6\u4eba\u306b\u77e5\u3089\u308c\u306a\u3044\u3088\u3046\u306b\u5341\u5206\u306b\u6ce8\u610f\u3057\u3066\u53d6\u308a\u6271\u3063\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

\n\n\n\n

\u81ea\u52d5\u304a\u7d75\u304b\u304dAI\uff08img2img\uff09\u306e\u5b9f\u884c<\/h2>\n\n\n\n

Hugging Face\u306e\u30e2\u30c7\u30eb\u4e00\u89a7\u306e\u30da\u30fc\u30b8<\/a>\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3068\u3001\u69d8\u3005\u306a\u30e2\u30c7\u30eb\u3092\u898b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

\u4eca\u56de\u3082Google Colaboratory<\/a>\u3092\u4f7f\u7528\u3057\u3066\u3001\u30b3\u30fc\u30c9\u3092\u8a18\u8f09\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u6700\u521d\u306b\u3001\u300c\u7de8\u96c6\u300d\u2192\u300c\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u8a2d\u5b9a\u300d\u304b\u3089\u3001
\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30c8\u3092\u300cGPU\u300d\u306b\u8a2d\u5b9a\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5165\u529b\u3057\u3001Shift+Enter\u3092\u62bc\u3057\u3066\u5b9f\u884c\u3057\u307e\u3057\u3087\u3046\u3002
GPU\u306e\u60c5\u5831\u304c\u51fa\u3066\u304f\u308c\u3070\u3001\u6b63\u5e38\u306b\u8a2d\u5b9a\u5909\u66f4\u3067\u304d\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

!nvidia-smi<\/code><\/pre>\n\n\n\n
\u7d9a\u3051\u3066\u3001\u30b3\u30fc\u30c9\u3092\u8a18\u8f09\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u4eca\u56de\u306e\u30e2\u30c7\u30eb\u306f\u300cCompVis\/stable-diffusion-v1-4<\/a>\u300d\u3067\u3059\u3002<\/p>\n\n\n\n
!pip install diffusers transformers scipy ftfy\n\nfrom diffusers import StableDiffusionImg2ImgPipeline\nimport torch\n\nAuthToken=\"\uff08\u53d6\u5f97\u3057\u305f\u30a2\u30af\u30bb\u30b9\u30c8\u30fc\u30af\u30f3\u3092\u5165\u529b\uff09\"<\/code><\/pre>\n\n\n\n
# \u30e2\u30c7\u30eb\uff1aStable Diffusion V1.4 \u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\nmodel_id = \"CompVis\/stable-diffusion-v1-4\"\n\ndevice = \"cuda\"\npipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, use_auth_token=AuthToken).to(device)<\/code><\/pre>\n\n\n\n
\u5b9f\u884c\u5f8c\u306b\u3001\u300caccelerate\u3092\u5165\u308c\u305f\u65b9\u304c\u826f\u3044\u3088\u300d\u300c\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a2d\u5b9a\u3092\u5c0f\u3055\u304f\u3057\u305f\u65b9\u304c\u826f\u3044\u3088\u300d\u306a\u3069
\u30e1\u30c3\u30bb\u30fc\u30b8\u304c\u51fa\u307e\u3059\u304c\u3001\u3088\u304f\u5206\u304b\u3063\u3066\u3044\u306a\u3044\u306e\u3067\u305d\u306e\u307e\u307e\u7d9a\u884c\u3057\u3066\u3044\u307e\u3059\u3002
\u5f8c\u3005\u3001\u5bfe\u51e6\u65b9\u6cd5\u304c\u5206\u304b\u3063\u305f\u3089\u8ffd\u8a18\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u53c2\u8003\u3068\u3059\u308b\u5165\u529b\u753b\u50cf\u306f\u300c\u3044\u3089\u3059\u3068\u3084<\/a>\u300d\u3055\u3093\u3088\u308a\u9802\u304d\u307e\u3057\u305f\u3002\u300csample.png\u300d\u3068\u3057\u307e\u3059\u3002
Google Colaboratory\u306e\u5de6\u5074\u306e\u30d5\u30a1\u30a4\u30eb\u4e00\u89a7\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u8aad\u307f\u8fbc\u3081\u308b\u3088\u3046\u306b\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u203b\u7dda\u753b\u306a\u3069\u306e\u30e9\u30d5\u753b\u3067\u306f\u4e0d\u8981\u3067\u3059\u304c\u3001\u30a4\u30e9\u30b9\u30c8\u306e\u3088\u3046\u306a\u753b\u50cf\u306e\u5834\u5408\u306f\u3001\u80cc\u666f\u306e\u90e8\u5206\u3092\u3001
\u3000PNG\u5f62\u5f0f\u3067\u3042\u308c\u3070\u900f\u904e\u8a2d\u5b9a\u3001JPG\u5f62\u5f0f\u3067\u3042\u308c\u3070\u9ed2\u8272\u306b\u3057\u3066\u304a\u304f\u65b9\u304c\u6210\u529f\u7387\u304c\u9ad8\u3044\u3067\u3059\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u53c2\u8003\u3068\u3059\u308b\u5165\u529b\u753b\u50cf\u3092\u8aad\u307f\u8fbc\u307f\u307e\u3059\u3002<\/p>\n\n\n\n
from PIL import Image\n\ninit_image = Image.open(\"sample.png\").convert(\"RGB\")\ninit_image = init_image.resize((512, 512))\ninit_image<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u306e\u751f\u6210\u306b\u3064\u3044\u3066\u7d30\u304b\u304f\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a2d\u5b9a\u3057\u305f\u3044\u5834\u5408\u3001\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n
    \n
  • Prompt
    \u3053\u306e\u90e8\u5206\u306b\u4efb\u610f\u306e\u6587\u5b57\u5217\uff08\u82f1\u8a9e\uff09\u3092\u5165\u529b\u3059\u308b\u3053\u3068\u3067\u3001\u597d\u304d\u306a\u7d75\u3092\u51fa\u529b\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n
  • Image
    \u53c2\u8003\u3068\u3059\u308b\u5165\u529b\u753b\u50cf\u3092\u5165\u529b\u3057\u307e\u3059\u3002<\/li>\n\n\n\n
  • Mask_image
    \u53c2\u8003\u3068\u3059\u308b\u5165\u529b\u753b\u50cf\u3068\u540c\u3058\u30b5\u30a4\u30ba\u306e\u767d\u9ed2\u753b\u50cf\u3092\u5165\u529b\u3059\u308b\u3068\u3001
    \u9ed2\u3044\u90e8\u5206\u306f\u4fee\u6b63\u3092\u52a0\u3048\u306a\u3044\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3002<\/li>\n\n\n\n
  • Strength
    \u53c2\u8003\u3068\u3059\u308b\u5165\u529b\u753b\u50cf\u3078\u306eprompt\u306e\u5f71\u97ff\u5ea6\uff080\uff5e1\uff09\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\uff1d0.8\u3002
    0\u306b\u3059\u308b\u3068\u5f71\u97ff\u306a\u3057\uff08\u5165\u529b\u753b\u50cf\u306e\u307e\u307e\uff09\u306b\u306a\u308b\u3002<\/li>\n\n\n\n
  • Guidance Scale
    \u5165\u529b\u3055\u308c\u305f\u30d7\u30ed\u30f3\u30d7\u30c8\uff08\u546a\u6587\uff09\u3078\u306e\u5fe0\u5b9f\u5ea6\u3092\u5236\u5fa1\u3059\u308b\u305f\u3081\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\uff081\uff5e30\uff09\u3002
    \u30c7\u30d5\u30a9\u30eb\u30c8\u5024\uff1d7.5\u30021\u304c\u8a2d\u5b9a\u3055\u308c\u305f\u5834\u5408\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u306f\u5b8c\u5168\u306b\u7121\u8996\u3002
    5\uff5e10\u7a0b\u5ea6\u304c\u3001\u51fa\u529b\u753b\u50cf\u3092\u898b\u3066\u3044\u308b\u3068\u30d0\u30e9\u30f3\u30b9\u304c\u826f\u3044\u3002<\/li>\n\n\n\n
  • Num Inference Steps
    \u753b\u50cf\u3092\u3069\u308c\u304f\u3089\u3044\u7cbe\u7d30\u306b\u63cf\u753b\u3059\u308b\u304b\u3092\u6c7a\u3081\u308b\u30d1\u30e9\u30e1\u30fc\u30bf
    \u8a2d\u5b9a\u5024\u304c\u9ad8\u3044\u307b\u3069\u9ad8\u7cbe\u7d30\u306a\u753b\u50cf\u306a\u308b\u304c\u3001\u751f\u6210\u6642\u9593\u304c\u9577\u304f\u306a\u308b\u3002
    \u30c7\u30d5\u30a9\u30eb\u30c8\u5024\uff1d50\u3002100\uff5e120\u7a0b\u5ea6\u304c\u6642\u9593\u3001\u7cbe\u5ea6\u3092\u8003\u616e\u3059\u308b\u3068\u30d0\u30e9\u30f3\u30b9\u304c\u826f\u3044\u3002
    \u203b\u5b9f\u884c\u6642\u306b\u306fStrength\u3068\u306e\u639b\u3051\u7b97\u306b\u306a\u308b\u306e\u3067\u6ce8\u610f<\/li>\n\n\n\n
  • Seed
    \u901a\u5e38\u30e9\u30f3\u30c0\u30e0\u3067\u8a2d\u5b9a\u3055\u308c\u308bSeed\u5024\u3092\u56fa\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u540c\u3058\u753b\u50cf\u3092\u518d\u73fe\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3002
    \u30c7\u30d5\u30a9\u30eb\u30c8\u5024\uff1d\u30e9\u30f3\u30c0\u30e0<\/li>\n\n\n\n
  • width\u30fbheight
    \u51fa\u529b\u753b\u50cf\u306e\u5e45\u30fb\u9ad8\u3055\u306e\u8a2d\u5b9a\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u5024\uff1d512<\/li>\n<\/ul>\n\n\n\n
    from datetime import datetime\n\nprompt = \"a photo of, pizza\"\n\n#\u63cf\u753b\u3059\u308b\u56de\u6570\u3092\u8a2d\u5b9a\nnum_images = 1\n\n#\u30a4\u30e9\u30b9\u30c8\u751f\u6210\nfor i in range(num_images):\n\n  # seed\u3092\u56fa\u5b9a\u3057\u306a\u3044\u5834\u5408\n  image = pipe(prompt, image=init_image, strength=0.8, guidance_scale=7.5, num_inference_steps=50).images[0]\n\n  # seed\u3092\u56fa\u5b9a\u3059\u308b\u5834\u5408\n  #generator = torch.Generator(device).manual_seed(2000)\n  #image = pipe(prompt, image=init_image, strength=0.8, guidance_scale=7.5, num_inference_steps=50, generator=generator).images[0]\n\n  #\u751f\u6210\u65e5\u6642\u3092\u30d5\u30a1\u30a4\u30eb\u540d\u306b\u3057\u3066\u4fdd\u5b58\n  date = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n  path = date + \".png\"\n  image.save(path)\n\n  from IPython.display import Image,display_png\n  display_png(Image(path))<\/code><\/pre>\n\n\n\n
    \u4ee5\u4e0b\u306e\u3088\u3046\u306a\u753b\u50cf\u304c\u51fa\u529b\u3055\u308c\u308c\u3070OK\u3067\u3059\u3002<\/p>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    \u3053\u306e\u8a18\u4e8b\u306e\u4f5c\u6210\u6642\u3001\u6700\u521d\u306f\u5165\u529b\u753b\u50cf\u306e\u30b5\u30a4\u30ba\u5909\u66f4\u3092\u9069\u5f53\u306b (256, 256) \u306b\u3057\u3066\u304a\u308a\u3001
    \u4f55\u5ea6\u3082\u8272\u3005\u3084\u3063\u3066\u307f\u305f\u3051\u3069\u3001\u30d4\u30b6\u3068\u306f\u7a0b\u9060\u3044\u753b\u50cf\u304c\u6c38\u9060\u3068\u51fa\u529b\u3055\u308c\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
    \u8ae6\u3081\u3088\u3046\u304b\u3068\u601d\u3063\u3066\u3044\u305f\u9803\u3001\u8272\u3005\u3068\u6570\u5b57\u3092\u5909\u66f4\u3057\u305f\u4e2d\u3067 (512, 512) \u306b\u3057\u305f\u6642\u3001
    \u3044\u3068\u3082\u30fb\u3059\u3093\u306a\u308a\u3068\u30fb\u3042\u3063\u3055\u308a\u3068\u3001\u3042\u306e\u753b\u50cf\u304c\u3067\u307e\u3057\u305f\u3002\u30de\u30b8\u304b\u3002\u3002\u3002
    \uff08\u51fa\u529b\u753b\u50cf\u3088\u308a\u30b5\u30a4\u30ba\u304c\u5927\u304d\u304f\u306a\u3044\u3068\u30c0\u30e1\uff1f\uff1f\u3000\u51fa\u529b\u753b\u50cf\u3068\u540c\u3058\u30b5\u30a4\u30ba\u3067\u306a\u3044\u3068\u30c0\u30e1\uff1f\uff1f\uff09<\/p>\n\n\n\n
    \u3068\u308a\u3042\u3048\u305a\u3001\u3053\u3053\u307e\u3067\u3002<\/p>\n\n\n\n
    \n\n\n\n
    \u203b\u30e1\u30e2
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