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          }
        },
        "df83df71265f44e59bdcb232632174ad": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "from transformers import pipeline"
      ],
      "metadata": {
        "id": "GzbEWliukUqH"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DcjGZhrqkQjI",
        "outputId": "1751d6c4-364d-404c-db40-c44e7ac10571"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.41.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.15.4)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.23.4)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.5.15)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
            "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.19.1)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.3)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.4)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers) (4.12.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.7.4)\n"
          ]
        }
      ],
      "source": [
        "!pip install transformers"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install git+https://github.com/huggingface/diffusers transformers accelerate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HMovnSRRmnS7",
        "outputId": "cdf28cba-6d6f-4785-86b2-7a3fa634bf94"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/huggingface/diffusers\n",
            "  Cloning https://github.com/huggingface/diffusers to /tmp/pip-req-build-7g_h04j7\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/diffusers /tmp/pip-req-build-7g_h04j7\n",
            "  Resolved https://github.com/huggingface/diffusers to commit bbd2f9d4e9ae70b04fedf65903fd1fb035437db4\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.41.2)\n",
            "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.32.1)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (8.0.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (3.15.4)\n",
            "Requirement already satisfied: huggingface-hub>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (0.23.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (1.25.2)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (2024.5.15)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (2.31.0)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (0.4.3)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers==0.30.0.dev0) (9.4.0)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
            "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.19.1)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.4)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.3.0+cu121)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers==0.30.0.dev0) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers==0.30.0.dev0) (4.12.2)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.13.0)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.3)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.4)\n",
            "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (8.9.2.26)\n",
            "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (12.1.3.1)\n",
            "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.0.2.54)\n",
            "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.3.2.106)\n",
            "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.4.5.107)\n",
            "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (12.1.0.106)\n",
            "Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.20.5)\n",
            "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (12.1.105)\n",
            "Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.3.0)\n",
            "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.10.0->accelerate) (12.5.82)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers==0.30.0.dev0) (3.19.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.30.0.dev0) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.30.0.dev0) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.30.0.dev0) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.30.0.dev0) (2024.7.4)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.5)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Building wheels for collected packages: diffusers\n",
            "  Building wheel for diffusers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for diffusers: filename=diffusers-0.30.0.dev0-py3-none-any.whl size=2443758 sha256=00907465a44d9a0d075763f59ba0bdd31b7128b77d6e1c2a30d6ccae30f765b1\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-bdvuoibk/wheels/f7/7d/99/d361489e5762e3464b3811bc629e94cf5bf5ef44dd5c3c4d52\n",
            "Successfully built diffusers\n",
            "Installing collected packages: diffusers\n",
            "  Attempting uninstall: diffusers\n",
            "    Found existing installation: diffusers 0.29.2\n",
            "    Uninstalling diffusers-0.29.2:\n",
            "      Successfully uninstalled diffusers-0.29.2\n",
            "Successfully installed diffusers-0.30.0.dev0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "diffusers"
                ]
              },
              "id": "d00e1c5b0e284282807f411186f3b3da"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler\n",
        "from diffusers.utils import export_to_video\n",
        "import numpy as np\n",
        "\n",
        "# Ensure accelerate is installed\n",
        "try:\n",
        "    import accelerate\n",
        "except ImportError:\n",
        "    raise ImportError(\"Accelerate is not installed. Please install it using `pip install accelerate`\")\n",
        "\n",
        "# Load the pretrained model\n",
        "pipe = DiffusionPipeline.from_pretrained(\"damo-vilab/text-to-video-ms-1.7b\", torch_dtype=torch.float16, variant=\"fp16\")\n",
        "pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)\n",
        "pipe.enable_model_cpu_offload()\n",
        "\n",
        "# Generate video frames\n",
        "prompt = \"Spiderman is surfing\"\n",
        "video_frames = pipe(prompt, num_inference_steps=25).frames\n",
        "\n",
        "# Check the shape of the frames\n",
        "first_frame_shape = video_frames[0].shape\n",
        "print(f\"Shape of first frame: {first_frame_shape}\")\n",
        "\n",
        "# If the frames have an extra dimension, reshape them\n",
        "if len(first_frame_shape) == 4:\n",
        "    # Extract the batch dimension by flattening the list of frames\n",
        "    video_frames = [frame[0] for frame in video_frames]\n",
        "\n",
        "# Check the reshaped frame shape\n",
        "reshaped_frame_shape = video_frames[0].shape\n",
        "print(f\"Reshaped frame shape: {reshaped_frame_shape}\")\n",
        "\n",
        "# Export frames to video\n",
        "video_path = export_to_video(video_frames)\n",
        "\n",
        "print(f\"Video saved to {video_path}\")\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 133,
          "referenced_widgets": [
            "54aa2b18d06e4ede93d8682807023a53",
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            "77b3c9789983488eb90209fb6fcb972d",
            "3473d87b69344ca59bae6b170b0e335b",
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            "df8eac9296d5457f82f06d8a8cdf889d",
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        },
        "id": "jED_wY1QNHb1",
        "outputId": "0f595cdd-0f51-4ccd-af88-9b18336179ff"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading pipeline components...:   0%|          | 0/5 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "54aa2b18d06e4ede93d8682807023a53"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ca85d50748da4a9d96edd9f7a4b0b6b1"
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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of first frame: (16, 256, 256, 3)\n",
            "Reshaped frame shape: (256, 256, 3)\n",
            "Video saved to /tmp/tmp0mw0cmrn.mp4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler\n",
        "from diffusers.utils import export_to_video\n",
        "import shutil\n",
        "\n",
        "# Initialize the DiffusionPipeline\n",
        "pipe = DiffusionPipeline.from_pretrained(\"damo-vilab/text-to-video-ms-1.7b\", torch_dtype=torch.float16, variant=\"fp16\")\n",
        "pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)\n",
        "pipe.enable_model_cpu_offload()\n",
        "\n",
        "# Define your prompt\n",
        "prompt = \" An Astronaut riding a horse\"\n",
        "\n",
        "# Generate video frames\n",
        "video_frames = pipe(prompt, num_inference_steps=25).frames\n",
        "\n",
        "# Export the video to a file\n",
        "video_path = export_to_video(video_frames)\n",
        "\n",
        "# Print the video path\n",
        "print(\"Video Path:\", video_path)\n",
        "\n",
        "# Define the destination directory in your Google Drive\n",
        "destination_dir = \"/content/drive/MyDrive/Colab Notebooks\"  # Update this path as needed\n",
        "\n",
        "# Move the video to the destination directory\n",
        "shutil.move(video_path, destination_dir)\n",
        "\n",
        "# Generate a link to access the video from the Colab sidebar\n",
        "colab_sidebar_link = f'<a href=\"file://{destination_dir}/video.mp4\" target=\"_blank\">View Video</a>'\n",
        "display(HTML(colab_sidebar_link))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 116,
          "referenced_widgets": [
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        "id": "I5tGO-VipFck",
        "outputId": "91840c8d-28ca-454a-9bcf-64a82daac365"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading pipeline components...:   0%|          | 0/5 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f6f8b538b8ca4a34972b43ba55996ecf"
            }
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6d72e6c5682e468dabf058a5820ae64f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Video Path: /tmp/tmpn6szvkmb.mp4\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
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