StableDiffusionAutoDownloader.ipynb

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          "text": [
            "Found existing installation: torch 2.5.1+cu121\n",
            "Uninstalling torch-2.5.1+cu121:\n",
            "  Successfully uninstalled torch-2.5.1+cu121\n",
            "Found existing installation: torchvision 0.20.1+cu121\n",
            "Uninstalling torchvision-0.20.1+cu121:\n",
            "  Successfully uninstalled torchvision-0.20.1+cu121\n",
            "Found existing installation: torchaudio 2.5.1+cu121\n",
            "Uninstalling torchaudio-2.5.1+cu121:\n",
            "  Successfully uninstalled torchaudio-2.5.1+cu121\n",
            "Looking in indexes: https://download.pytorch.org/whl/cu118\n",
            "Collecting torch==2.0.1\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl (2267.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 GB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchvision==0.15.2\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-linux_x86_64.whl (6.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m92.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchaudio==2.0.2\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.0.2%2Bcu118-cp310-cp310-linux_x86_64.whl (4.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m64.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.16.1)\n",
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            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.1.4)\n",
            "Collecting triton==2.0.0 (from torch==2.0.1)\n",
            "  Downloading https://download.pytorch.org/whl/triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.3/63.3 MB\u001b[0m \u001b[31m12.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (1.26.4)\n",
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            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (11.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch==2.0.1) (3.30.5)\n",
            "Collecting lit (from triton==2.0.0->torch==2.0.1)\n",
            "  Downloading https://download.pytorch.org/whl/lit-15.0.7.tar.gz (132 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.3/132.3 kB\u001b[0m \u001b[31m12.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "Building wheels for collected packages: lit\n",
            "  Building wheel for lit (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for lit: filename=lit-15.0.7-py3-none-any.whl size=89991 sha256=ad40ce8a8306b2e0baee5c360a036bc790592e4dd0290c82f133cbaa7590725b\n",
            "  Stored in directory: /root/.cache/pip/wheels/27/2c/b6/3ed2983b1b44fe0dea1bb35234b09f2c22fb8ebb308679c922\n",
            "Successfully built lit\n",
            "Installing collected packages: lit, triton, torch, torchvision, torchaudio\n",
            "Successfully installed lit-15.0.7 torch-2.0.1+cu118 torchaudio-2.0.2+cu118 torchvision-0.15.2+cu118 triton-2.0.0\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.46.2)\n",
            "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (1.1.1)\n",
            "Collecting ftfy\n",
            "  Downloading ftfy-6.3.1-py3-none-any.whl.metadata (7.3 kB)\n",
            "Requirement already satisfied: diffusers[torch] in /usr/local/lib/python3.10/dist-packages (0.31.0)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (8.5.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (3.16.1)\n",
            "Requirement already satisfied: huggingface-hub>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (0.26.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (1.26.4)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (2024.9.11)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (2.32.3)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (0.4.5)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (11.0.0)\n",
            "Requirement already satisfied: torch<2.5.0,>=1.4 in /usr/local/lib/python3.10/dist-packages (from diffusers[torch]) (2.0.1+cu118)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.2)\n",
            "Requirement already satisfied: tokenizers<0.21,>=0.20 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.6)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from ftfy) (0.2.13)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers[torch]) (2024.10.0)\n",
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            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch<2.5.0,>=1.4->diffusers[torch]) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch<2.5.0,>=1.4->diffusers[torch]) (3.1.4)\n",
            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch<2.5.0,>=1.4->diffusers[torch]) (2.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch<2.5.0,>=1.4->diffusers[torch]) (3.30.5)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch<2.5.0,>=1.4->diffusers[torch]) (15.0.7)\n",
            "Requirement already satisfied: zipp>=3.20 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers[torch]) (3.21.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers[torch]) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers[torch]) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers[torch]) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers[torch]) (2024.8.30)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch<2.5.0,>=1.4->diffusers[torch]) (3.0.2)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch<2.5.0,>=1.4->diffusers[torch]) (1.3.0)\n",
            "Downloading ftfy-6.3.1-py3-none-any.whl (44 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.8/44.8 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: ftfy\n",
            "Successfully installed ftfy-6.3.1\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.0.1+cu118)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (0.15.2+cu118)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (11.0.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.26.4)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.16.1)\n",
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            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch) (2.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch) (3.30.5)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch) (15.0.7)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision) (2.32.3)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch) (3.0.2)\n",
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            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (2024.8.30)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch) (1.3.0)\n",
            "Collecting git+https://github.com/sberbank-ai/Real-ESRGAN.git\n",
            "  Cloning https://github.com/sberbank-ai/Real-ESRGAN.git to /tmp/pip-req-build-184pnfhb\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/sberbank-ai/Real-ESRGAN.git /tmp/pip-req-build-184pnfhb\n",
            "  Resolved https://github.com/sberbank-ai/Real-ESRGAN.git to commit 362a0316878f41dbdfbb23657b450c3353de5acf\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting huggingface-hub==0.25.2\n",
            "  Downloading huggingface_hub-0.25.2-py3-none-any.whl.metadata (13 kB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (3.16.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (2024.10.0)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (24.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (6.0.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (2.32.3)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (4.66.6)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub==0.25.2) (4.12.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from RealESRGAN==1.0) (1.26.4)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.10/dist-packages (from RealESRGAN==1.0) (4.10.0.84)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from RealESRGAN==1.0) (11.0.0)\n",
            "Requirement already satisfied: torch>=1.7 in /usr/local/lib/python3.10/dist-packages (from RealESRGAN==1.0) (2.0.1+cu118)\n",
            "Requirement already satisfied: torchvision>=0.8.0 in /usr/local/lib/python3.10/dist-packages (from RealESRGAN==1.0) (0.15.2+cu118)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.7->RealESRGAN==1.0) (1.13.1)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.7->RealESRGAN==1.0) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.7->RealESRGAN==1.0) (3.1.4)\n",
            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.7->RealESRGAN==1.0) (2.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.7->RealESRGAN==1.0) (3.30.5)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.7->RealESRGAN==1.0) (15.0.7)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub==0.25.2) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub==0.25.2) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub==0.25.2) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub==0.25.2) (2024.8.30)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.7->RealESRGAN==1.0) (3.0.2)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.7->RealESRGAN==1.0) (1.3.0)\n",
            "Downloading huggingface_hub-0.25.2-py3-none-any.whl (436 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m436.6/436.6 kB\u001b[0m \u001b[31m24.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hBuilding wheels for collected packages: RealESRGAN\n",
            "  Building wheel for RealESRGAN (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for RealESRGAN: filename=RealESRGAN-1.0-py3-none-any.whl size=9103 sha256=569578660994e845c734830aecfcd34a3960b6504345a36c27efac71f8ec3e17\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-h_ef2sej/wheels/dd/a3/7d/774508ed192455403be294c8a6c4ad1c83dde8fcdd8903e64a\n",
            "Successfully built RealESRGAN\n",
            "Installing collected packages: huggingface-hub, RealESRGAN\n",
            "  Attempting uninstall: huggingface-hub\n",
            "    Found existing installation: huggingface-hub 0.26.2\n",
            "    Uninstalling huggingface-hub-0.26.2:\n",
            "      Successfully uninstalled huggingface-hub-0.26.2\n",
            "Successfully installed RealESRGAN-1.0 huggingface-hub-0.25.2\n"
          ]
        }
      ],
      "source": [
        "!pip uninstall -y torch torchvision torchaudio\n",
        "!pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118\n",
        "!pip install diffusers[torch] transformers accelerate ftfy\n",
        "!pip install torch torchvision pillow numpy\n",
        "!pip install huggingface-hub==0.25.2 git+https://github.com/sberbank-ai/Real-ESRGAN.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from diffusers import StableDiffusionPipeline\n",
        "import torch\n",
        "\n",
        "model_id = \"stabilityai/stable-diffusion-xl-base-1.0\"\n",
        "pipeline = StableDiffusionPipeline.from_pretrained(\n",
        "    model_id,\n",
        "    torch_dtype=torch.float16\n",
        ").to(\"cuda\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 892,
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        },
        "id": "9DOFZBnrJJiE",
        "outputId": "756d1f46-3020-494d-8717-327786ad6998"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "0it [00:00, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3b7a781156e84ab3947521c3ca5ee079"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torchvision/datapoints/__init__.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().\n",
            "  warnings.warn(_BETA_TRANSFORMS_WARNING)\n",
            "/usr/local/lib/python3.10/dist-packages/torchvision/transforms/v2/__init__.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().\n",
            "  warnings.warn(_BETA_TRANSFORMS_WARNING)\n",
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:90: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
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          "metadata": {}
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        {
          "output_type": "display_data",
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from diffusers import StableDiffusionXLPipeline\n",
        "\n",
        "\n",
        "def initialize_model(model_id:str):\n",
        "    \"\"\"\n",
        "    Inicializa el modelo\n",
        "    Returns:\n",
        "        pipeline: Modelo cargado y configurado.\n",
        "    \"\"\"\n",
        "    pipeline = StableDiffusionXLPipeline.from_pretrained(\n",
        "        model_id,\n",
        "        torch_dtype=torch.float16,\n",
        "    ).to(\"cuda\")\n",
        "    pipeline.enable_attention_slicing()\n",
        "\n",
        "    return pipeline"
      ],
      "metadata": {
        "id": "uR9f2bKzJK33"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "from RealESRGAN import RealESRGAN\n",
        "\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "\n",
        "def super_resolve_image_realesrgan(input_path, output_path='super_resolved_image.png'):\n",
        "    \"\"\"\n",
        "    Aplica superresolución usando RealESRGAN.\n",
        "\n",
        "    Args:\n",
        "    - input_path (str): Ruta de la imagen de entrada.\n",
        "    - output_path (str): Ruta donde se guardará la imagen de salida.\n",
        "    \"\"\"\n",
        "    model = RealESRGAN(device, scale=4)\n",
        "    model.load_weights('weights/RealESRGAN_x4.pth', download=True)\n",
        "\n",
        "    image = Image.open(input_path).convert('RGB')\n",
        "\n",
        "    sr_image = model.predict(image)\n",
        "\n",
        "    sr_image.save(output_path)\n",
        "    print(f\"Imagen superresuelta guardada en: {output_path}\")\n"
      ],
      "metadata": {
        "id": "gM4oT-kTMF-j"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "\n",
        "\n",
        "def generate_and_save_image(pipeline, prompt, output_path=\"generated_image.png\", super_resolution = True, width=1024, height=576):\n",
        "    \"\"\"\n",
        "    Genera una imagen a partir de un texto.\n",
        "    Args:\n",
        "        pipeline: El modelo cargado.\n",
        "        prompt (str): Texto descriptivo para la generación.\n",
        "        output_path (str): Ruta para guardar la imagen generada.\n",
        "        width (int): Ancho de la imagen generada.\n",
        "        height (int): Altura de la imagen generada.\n",
        "    Returns:\n",
        "        None: Guarda la imagen en la ruta especificada.\n",
        "    \"\"\"\n",
        "    with torch.no_grad():\n",
        "        image = pipeline(\n",
        "            prompt=prompt,\n",
        "            negative_prompt=\"blurry, low quality, distorted, poorly rendered, cartoonish\",\n",
        "            width=width,\n",
        "            height=height,\n",
        "            guidance_scale=7.5,\n",
        "            num_inference_steps=100\n",
        "        ).images[0]\n",
        "\n",
        "    image.save(output_path)\n",
        "    if super_resolution:\n",
        "        sr_output_path = \"super_resolved_\" + output_path\n",
        "        super_resolve_image_realesrgan(output_path, sr_output_path)\n",
        "        print(\"Superresolución aplicada.\")\n",
        "        files.download(sr_output_path)\n",
        "    else:\n",
        "        files.download(output_path)\n"
      ],
      "metadata": {
        "id": "SbFXvPh9JPks"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "\n",
        "def normalize_prompt(prompt, chars = 30):\n",
        "    \"\"\"\n",
        "    Normaliza el prompt eliminando caracteres no alfanuméricos y truncándolo a un tamaño manejable.\n",
        "    Args:\n",
        "        prompt (str): El texto del prompt.\n",
        "    Returns:\n",
        "        str: Una versión normalizada y truncada del prompt.\n",
        "    \"\"\"\n",
        "    prompt = re.sub(r\"[^a-zA-Z0-9]\", \"_\", prompt)\n",
        "    return prompt[:chars]"
      ],
      "metadata": {
        "id": "6t_eX2dWVtsS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "torch.cuda.empty_cache()\n",
        "torch.cuda.memory_summary(device=None, abbreviated=False)\n",
        "\n",
        "pipeline = initialize_model(model_id)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "0feecfa98602479cb24834e9d54d784c",
            "f83eeb43498f4fdf9ec8c1c90d06d246",
            "eb77387d1737476aa04ae00c1f9119e2",
            "c436013e65994f4aba6dcea709ee3124",
            "965336f13a694dccb4ec4e10a0c5d113",
            "d3967891fa3d4297a044a6162cedff1b",
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            "6f7fe8bbba1b4a47b65758ac93239cec",
            "9fcc46d1ac984d3ea1c9594faa16aec6"
          ]
        },
        "id": "GaAFAiI8WXgk",
        "outputId": "4e763b51-08fa-4055-910f-023a98318b3e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0feecfa98602479cb24834e9d54d784c"
            }
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          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import random\n",
        "\n",
        "\n",
        "prompts = [\n",
        "    \"A vibrant carnival at night, with colorful lights illuminating Ferris wheels, carousels, and food stalls, children laughing, and a fireworks display lighting up the starry sky, ultra-realistic\",\n",
        "    \"An alien jungle filled with towering, luminescent plants, strange creatures roaming among the foliage, and a glowing waterfall cascading into a turquoise pool, surreal and otherworldly, ultra-realistic\"\n",
        "]\n",
        "\n",
        "for i, prompt in enumerate(prompts):\n",
        "    normalized_prompt = normalize_prompt(prompt)\n",
        "    random_number = random.randint(1000, 9999)\n",
        "    output_path = f\"image_{i+1}_{normalized_prompt}_{random_number}.png\"\n",
        "    generate_and_save_image(pipeline, prompt, output_path)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 329,
          "referenced_widgets": [
            "1221c76dd4bd46fba07e13ab8fe93d2c",
            "88038760cfc14fd0bb9b2c40aa39427a",
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            "2dec2eb95af74d59b6e04db8e79f0fd2",
            "11a976c0f1484e5197bf75273b12bfc5",
            "658fd61b7e6f47ada83c65ce84e02846",
            "c28b7d11c60b40d58f6dc396603f5961",
            "b99104ac0c6d483b9192772cbd323083",
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            "e962469595594da790d5d9f91bb7411d",
            "6e9807f8d20e4d00a41b7c56707d9222",
            "73fc7ff8d1f8408aad9de82bcfe8e93d",
            "c06d9f901b39471ba025a0aa80c06163",
            "ed1bc2d1f4584cdda61a23729df0c6bd",
            "d77ccb54244b41f5bbb3dcf53eddd81e",
            "fead58c0043b44e4b5ef013ab7bcf919",
            "75498348cafc44958b56fa21b991abb6",
            "1cdf453c848e4978ba46344b6445487c",
            "eaeaf41f24ba43ea9bfa05784717e12b",
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          ]
        },
        "id": "OpAPj8GTJks9",
        "outputId": "def49494-40ad-4f6c-d1ff-f549cee672b1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/100 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1221c76dd4bd46fba07e13ab8fe93d2c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'cached_download' (from 'huggingface_hub.file_download') is deprecated and will be removed from version '0.26'. Use `hf_hub_download` instead.\n",
            "  warnings.warn(warning_message, FutureWarning)\n",
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:672: FutureWarning: 'cached_download' is the legacy way to download files from the HF hub, please consider upgrading to 'hf_hub_download'\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "RealESRGAN_x4.pth:   0%|          | 0.00/67.0M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6e9807f8d20e4d00a41b7c56707d9222"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Weights downloaded to: weights/RealESRGAN_x4.pth\n",
            "Imagen superresuelta guardada en: super_resolved_image_1_A_vibrant_carnival_at_night__w_1426.png\n",
            "Superresolución aplicada.\n"
          ]
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          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
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              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
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              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
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              "download(\"download_13a548ea-7fee-4373-9611-eb9a6d6b9b6d\", \"super_resolved_image_1_A_vibrant_carnival_at_night__w_1426.png\", 12789317)"
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          "data": {
            "text/plain": [
              "  0%|          | 0/100 [00:00<?, ?it/s]"
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              "model_id": "d5ba98e8f3394e8a864e5a96134c68e2"
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          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Imagen superresuelta guardada en: super_resolved_image_2_An_alien_jungle_filled_with_to_4146.png\n",
            "Superresolución aplicada.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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            "application/javascript": [
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              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
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              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
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              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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          "output_type": "display_data",
          "data": {
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            "application/javascript": [
              "download(\"download_051ec635-0b88-443b-adb1-d23a119f1110\", \"super_resolved_image_2_An_alien_jungle_filled_with_to_4146.png\", 12592797)"
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}