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},
"cells": [
{
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"source": [
"from transformers import pipeline"
],
"metadata": {
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},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DcjGZhrqkQjI",
"outputId": "8dfb2f72-860c-4097-a07c-651c32e665d6"
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"text": [
"Collecting transformers\n",
" Downloading transformers-4.34.1-py3-none-any.whl (7.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.7/7.7 MB\u001b[0m \u001b[31m66.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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" Downloading tokenizers-0.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
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"\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
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"Installing collected packages: safetensors, huggingface-hub, tokenizers, transformers\n",
"Successfully installed huggingface-hub-0.17.3 safetensors-0.4.0 tokenizers-0.14.1 transformers-4.34.1\n"
]
}
],
"source": [
"!pip install transformers"
]
},
{
"cell_type": "code",
"source": [
"!pip install diffusers transformers accelerate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uPHhUNaQLtv0",
"outputId": "ae2c5e32-6fda-421a-8066-dd82e7638af3"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting diffusers\n",
" Downloading diffusers-0.21.4-py3-none-any.whl (1.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.34.1)\n",
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" Downloading accelerate-0.23.0-py3-none-any.whl (258 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m258.1/258.1 kB\u001b[0m \u001b[31m9.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n",
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"Requirement already satisfied: tokenizers<0.15,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.14.1)\n",
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"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
"Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers) (3.17.0)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (2023.7.22)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
"Installing collected packages: diffusers, accelerate\n",
"Successfully installed accelerate-0.23.0 diffusers-0.21.4\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import torch\n",
"from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler\n",
"from diffusers.utils import export_to_video\n",
"\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",
"prompt = \"Spiderman is surfing\"\n",
"video_frames = pipe(prompt, num_inference_steps=25).frames\n",
"video_path = export_to_video(video_frames)\n"
],
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},
"id": "jED_wY1QNHb1",
"outputId": "2c62ddc1-1ac0-435f-a2a8-5e863f10e52b"
},
"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"
]
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{
"cell_type": "code",
"source": [
"!pip install git+https://github.com/huggingface/diffusers transformers accelerate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 949
},
"id": "G4S9x9kuNNAR",
"outputId": "d94c4446-2617-4dfb-cbae-5b98a2592168"
},
"execution_count": null,
"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-dzidwsch\n",
" Running command git clone --filter=blob:none --quiet https://github.com/huggingface/diffusers /tmp/pip-req-build-dzidwsch\n",
" Resolved https://github.com/huggingface/diffusers to commit 8dba1808852e7f5c08f91296006ec254cecdd1b1\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 (4.34.1)\n",
"Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.23.0)\n",
"Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (6.8.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (3.12.4)\n",
"Requirement already satisfied: huggingface-hub>=0.13.2 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (0.17.3)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (1.23.5)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (2023.6.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (2.31.0)\n",
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (0.4.0)\n",
"Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (9.4.0)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\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<0.15,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.14.1)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\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) (2.1.0+cu118)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.13.2->diffusers==0.22.0.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>=0.13.2->diffusers==0.22.0.dev0) (4.5.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
"Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers==0.22.0.dev0) (3.17.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.22.0.dev0) (3.3.0)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.22.0.dev0) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.22.0.dev0) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.22.0.dev0) (2023.7.22)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
"Requirement already satisfied: mpmath>=0.19 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-0.22.0.dev0-py3-none-any.whl size=1577253 sha256=635984df09685952bd7258282ec4895e6e6eea59c7b9bc2f38833975d882d6d8\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-6liykzd1/wheels/f7/7d/99/d361489e5762e3464b3811bc629e94cf5bf5ef44dd5c3c4d52\n",
"Successfully built diffusers\n",
"Installing collected packages: diffusers\n",
" Attempting uninstall: diffusers\n",
" Found existing installation: diffusers 0.21.4\n",
" Uninstalling diffusers-0.21.4:\n",
" Successfully uninstalled diffusers-0.21.4\n",
"Successfully installed diffusers-0.22.0.dev0\n"
]
},
{
"output_type": "display_data",
"data": {
"application/vnd.colab-display-data+json": {
"pip_warning": {
"packages": [
"diffusers"
]
}
}
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"import torch\n",
"from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler\n",
"from diffusers.utils import export_to_video\n",
"\n",
"# load pipeline\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",
"\n",
"# optimize for GPU memory\n",
"pipe.enable_model_cpu_offload()\n",
"pipe.enable_vae_slicing()\n",
"\n",
"# generate\n",
"prompt = \"Spiderman is surfing. Darth Vader is also surfing and following Spiderman\"\n",
"video_frames = pipe(prompt, num_inference_steps=25, num_frames=200).frames\n",
"\n",
"# convent to video\n",
"video_path = export_to_video(video_frames)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 81,
"referenced_widgets": [
"b227303f147445d9a7d128b4c7c548a7",
"bd0943c656754c5a85f41de961f61720",
"796c7172549a48e8b3e2d7031c9e3179",
"be19d024310c4a94930cd1610111c13c",
"0d9ef40507344a7080a36bea83f275c3",
"2471bbf0d080458d915787eafefce623",
"e2a124d64cdd4de7812660f9bc351509",
"6d2cfe9dc79d4eeba3838f3ec0e786ac",
"6c4f529433154b74b42d136a03a8605f",
"6d8ab50d3bc04591ab87342801380884",
"4e51e06603a74575a2af089754a02bb3",
"12b6cbda9894459c8a16f8330a5af8ef",
"487ca1694cae4a389d306acf271e9508",
"2c51d929ab7d418d9f54d01d20942134",
"5eaac79e41024840a62cd065fda20316",
"bb539c3a44e542a1ad270e4396f570b8",
"ae2df9b0a4fb4c679573a12dc22d3fa8",
"eecb99c6abd448d38d250b9244265f4e",
"033e269ee5f94d7b990cdb5d3eb4013d",
"e890c5c4f03e4b5d89447bd4d182bfa6",
"d6839ccbd51343e395e29e6cd16857b2",
"2b8a81aafda241d98771ed9cac0f5a53"
]
},
"id": "eCOy-buYPfwg",
"outputId": "76847343-36a0-4988-9394-e7cbefbee90d"
},
"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": "b227303f147445d9a7d128b4c7c548a7"
}
},
"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": "12b6cbda9894459c8a16f8330a5af8ef"
}
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')\n",
"\n",
"\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lZuw_W3HoQjV",
"outputId": "f66469e6-6740-417d-b9a2-541898cddd14"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\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'View Video'\n",
"display(HTML(colab_sidebar_link))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 116,
"referenced_widgets": [
"f6f8b538b8ca4a34972b43ba55996ecf",
"de4f47f2a0db4389995f056fecc96485",
"2600709be2144bc5819d898a7f8688e4",
"4b593be3adf643a0bc2fd3a83ad96053",
"5547be872cdd49eb90054ea2d8a1c248",
"d8dcb9b784ce4ea8a1ad2c1736eb5718",
"9382cb3fc94342df88ab6e88a7928562",
"786910b59599464e9389d596a3f4095e",
"dd399dc9f4be4db7a3fae04ffcdd7da2",
"f25398b4f32540d0bf2cdc0d554c6fe5",
"b8dac37976a043c68b8614f49c9b1cbc",
"6d72e6c5682e468dabf058a5820ae64f",
"4f45d1521cca4746b629751a14dcdc0b",
"d939c5d019334ce790500502c427b1f6",
"605b5c8b7cc34c0f9d94616ecdd3c483",
"1ced1c9403bf458b896958fe36ba37a0",
"7696596a4acd4f4f816f067553588038",
"1925b7f9ad874e6a821f9d94a8ead0a7",
"5f48249f5eb04f1d9941cf876e459741",
"59dbe4333cc4457e843fbe1e5b802a99",
"8857115f1afe4305954bb1f66af4b45d",
"f44ac90dcaf74dceb854645bc0458c87"
]
},
"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"
}
},
"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": "6d72e6c5682e468dabf058a5820ae64f"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Video Path: /tmp/tmpn6szvkmb.mp4\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"text/html": [
"View Video"
]
},
"metadata": {}
}
]
}
]
}