{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4",
"authorship_tag": "ABX9TyPbLDHGRk97285yUwCxLVIA",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\")
"
]
},
{
"cell_type": "markdown",
"source": [
"\n",
"Colab: Upload your input files from File Browser menu.\n",
"\n",
"Kaggle: Upload your input files from File -> Upload Input -> Upload Data"
],
"metadata": {
"id": "Sg6hZROjIqoP"
}
},
{
"cell_type": "code",
"source": [
"\n",
"\n",
"!uname -a\n",
"!free -h\n",
"!pwd\n",
"!pip install -U pip uv virtualenv GitPython loglevel\n",
"!git config --global core.fileMode\n",
"!git config --global pull.rebase true\n",
"\n",
"import os\n",
"from datetime import datetime, timedelta\n",
"start_time = datetime.now()\n",
"\n",
"!mkdir -p \"/kaggle/working\"\n",
"!mkdir -p \"/kaggle/input\"\n",
"!mkdir -p \"/kaggle/temp\"\n",
"!mkdir -p \"/tmp/xdg_runtime\"\n",
"!mkdir -p \"/content\"\n",
"current_dir = !pwd #[\"/content\", \"/kaggle/working\",\"/kaggle/input\",\"/kaggle/temp\"]\n",
"WORKSPACE = \"/content\" # current_dir[0]\n",
"os.environ['WORKSPACE']=WORKSPACE\n",
"print(f\"Workspace at {WORKSPACE}\")\n",
"%cd \"$WORKSPACE\"\n",
"\n",
"os.environ['XDG_RUNTIME_DIR']=\"/tmp/xdg_runtime\"\n",
"os.environ['MPLBACKEND']=\"Agg\"\n",
"#os.environ['PYTHONVERBOSE']=\"1\"\n",
"\n",
"# Create a bash script at /usr/bin/\n",
"shcontent = \"\"\"\n",
"[ -f \"$WORKSPACE/venv/bin/activate\" ] && echo \"Using VENV at $WORKSPACE\" && source \"$WORKSPACE/venv/bin/activate\"; \"$@\"\n",
"\"\"\"\n",
"with open('/usr/bin/venv.sh', 'w') as file:\n",
" file.write(shcontent)\n",
"!chmod +x /usr/bin/venv.sh\n",
"\n",
"print(\"-= Creating/Restoring Virtual Environment =-\")\n",
"![ ! -f \"venv/bin/activate\" ] && echo -= Initial Python Virtual Environment =- && virtualenv venv\n",
"\n",
"print(\"-= Installing Default Dependencies =-\")\n",
"!venv.sh pip install -U pip uv setuptools wheel ninja jedi loglevel einops\n",
"!venv.sh pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1\n",
"#!venv.sh pip install -U torch torchao torchvision torchaudio xformers --index-url https://download.pytorch.org/whl/cu129\n",
"!venv.sh pip install triton sageattention #flash-attn-triton\n",
"!venv.sh pip install flash_attn --no-build-isolation\n",
"\n",
"print(\"-= Installing Ovi repository =-\")\n",
"![ ! -d Ovi ] && echo -= Initial setup Ovi =- && git clone --depth=1500 --branch main --single-branch https://github.com/character-ai/Ovi.git\n",
"%cd Ovi\n",
"!git pull\n",
"!venv.sh pip install -r requirements.txt # Using old numpy 1.26.4\n",
"\n",
"print(\"-= Updating site-packages with VENV =-\")\n",
"import sys\n",
"full_python_version = sys.version\n",
"python_version_number = \".\".join(full_python_version.split(\" \")[0].split(\".\")[:2])\n",
"print(f\"Python Ver = {python_version_number}\")\n",
"python_ver_num = python_version_number.replace(\".\",\"\")\n",
"\n",
"import torch\n",
"full_pytorch_version = torch.__version__\n",
"pytorch_version_number = \".\".join(full_pytorch_version.split(\" \")[0].split(\".\")[:2])\n",
"print(f\"PyTorch Ver = {pytorch_version_number}\")\n",
"\n",
"print(f\"Adding site-packages {WORKSPACE}/venv/lib/python{python_version_number}/site-packages\")\n",
"import site\n",
"site.addsitedir(f\"{WORKSPACE}/venv/lib/python{python_version_number}/site-packages\")\n",
"sys.path.append(f\"{WORKSPACE}/venv/bin\")\n",
"sys.path.append(f\"{WORKSPACE}/venv/lib/python{python_version_number}/site-packages\")\n",
"\n",
"print(\"-= Downloading Weights =-\")\n",
"# Optional can specific --output-dir to download to a specific directory (default is ./ckpts)\n",
"# but if a custom directory is used, the inference yaml has to be updated with the custom directory\n",
"!venv.sh python3 download_weights.py --output-dir /kaggle/temp/ckpts\n",
"\n",
"print(\"-= Configure Ovi =-\")\n",
"# Uploaded Input files at'/kaggle/input' directory\n",
"# Downloadable Output files at '/kaggle/working' directory\n",
"\n",
"config_content = \"\"\"\n",
"# Output and Model Configuration\n",
"ckpt_dir: /kaggle/temp/ckpts #./ckpts\n",
"output_dir: /kaggle/working\n",
"\n",
"# Generation Quality Settings\n",
"num_steps: 50\n",
"solver_name: unipc\n",
"shift: 5.0\n",
"seed: 103\n",
"\n",
"# Guidance Strength Control\n",
"audio_guidance_scale: 3.0\n",
"video_guidance_scale: 4.0\n",
"slg_layer: 11\n",
"\n",
"# Multi-GPU and Performance\n",
"sp_size: 1\n",
"cpu_offload: True\n",
"\n",
"# Input Configuration\n",
"each_example_n_times: 1\n",
"mode: \"t2v\" # [\"t2v\", \"i2v\", \"t2i2v\"] all comes with audio\n",
"video_frame_height_width: [512, 992] # only useful if mode = t2v or t2i2v, recommended values: [512, 992], [992, 512], [960, 512], [512, 960], [720, 720], [448, 1120]\n",
"text_prompt: \"a man proposing on one knee, while offering a large diamond ring to a grim reaper, as he says, Will you marry me?. After a brief pause, the grim reaper says, You are courting death.A low-pitched male voice.\" #./example_prompts/gpt_examples_i2v.csv\n",
"\n",
"# Quality Control (Negative Prompts)\n",
"video_negative_prompt: \"jitter, bad hands, blur, distortion\" # Artifacts to avoid in video\n",
"audio_negative_prompt: \"robotic, muffled, echo, distorted\" # Artifacts to avoid in audio\n",
"\"\"\"\n",
"with open(\"./ovi/configs/inference/inference_fusion.yaml\", 'w') as file:\n",
" file.write(config_content)\n",
"\n",
"print(\"-= Running Inference =-\")\n",
"start_time2 = datetime.now()\n",
"#!venv.sh python3 inference.py --config-file \"./ovi/configs/inference/inference_fusion.yaml\"\n",
"#!venv.sh torchrun --nnodes 1 --nproc_per_node 4 inference.py --config-file \"./ovi/configs/inference/inference_fusion.yaml\"\n",
"!venv.sh python3 gradio_app.py --cpu_offload\n",
"\n",
"time_delta2 = datetime.now() - start_time2\n",
"print(f\"-= Inference Done! ({str(timedelta(seconds=time_delta2.total_seconds()))}) =-\")\n",
"\n",
"time_delta = datetime.now() - start_time\n",
"print(f\"-= All Done! ({str(timedelta(seconds=time_delta.total_seconds()))}) =-\")"
],
"metadata": {
"id": "nZpXa3ygIo1d",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "ddd37c8e-fa44-4254-957a-0549037e0c87"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Linux 98afc3a498e5 6.6.97+ #1 SMP PREEMPT_DYNAMIC Sat Sep 6 09:54:41 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux\n",
" total used free shared buff/cache available\n",
"Mem: 12Gi 721Mi 8.8Gi 1.0Mi 3.1Gi 11Gi\n",
"Swap: 0B 0B 0B\n",
"/content\n",
"Requirement already satisfied: pip in /usr/local/lib/python3.12/dist-packages (24.1.2)\n",
"Collecting pip\n",
" Downloading pip-25.2-py3-none-any.whl.metadata (4.7 kB)\n",
"Collecting uv\n",
" Downloading uv-0.8.23-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
"Collecting virtualenv\n",
" Downloading virtualenv-20.34.0-py3-none-any.whl.metadata (4.6 kB)\n",
"Requirement already satisfied: GitPython in /usr/local/lib/python3.12/dist-packages (3.1.45)\n",
"Collecting distlib<1,>=0.3.7 (from virtualenv)\n",
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"\u001b[?25hInstalling collected packages: distlib, virtualenv, uv, pip\n",
" Attempting uninstall: pip\n",
" Found existing installation: pip 24.1.2\n",
" Uninstalling pip-24.1.2:\n",
" Successfully uninstalled pip-24.1.2\n",
"Successfully installed distlib-0.4.0 pip-25.2 uv-0.8.23 virtualenv-20.34.0\n",
"Workspace at /content\n",
"-= Creating/Restoring Virtual Environment =-\n",
"-= Initial Python Virtual Environment =-\n",
"created virtual environment CPython3.12.11.final.0-64 in 318ms\n",
" creator CPython3Posix(dest=/content/venv, clear=False, no_vcs_ignore=False, global=False)\n",
" seeder FromAppData(download=False, pip=bundle, via=copy, app_data_dir=/root/.local/share/virtualenv)\n",
" added seed packages: pip==25.2\n",
" activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator\n",
"-= Installing Default Dependencies =-\n",
"Using VENV at /content\n",
"Requirement already satisfied: pip in ./venv/lib/python3.12/site-packages (25.2)\n",
"Collecting uv\n",
" Using cached uv-0.8.23-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
"Collecting setuptools\n",
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"\u001b[1A\u001b[2KSuccessfully installed jedi-0.19.2 ninja-1.13.0 parso-0.8.5 setuptools-80.9.0 uv-0.8.23 wheel-0.45.1\n",
"Using VENV at /content\n",
"Looking in indexes: https://download.pytorch.org/whl/cu129\n",
"Collecting torch\n",
" Downloading https://download.pytorch.org/whl/cu129/torch-2.8.0%2Bcu129-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (30 kB)\n",
"Collecting torchao\n",
" Downloading https://download.pytorch.org/whl/cu129/torchao-0.13.0%2Bcu129-cp39-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (19 kB)\n",
"Collecting torchvision\n",
" Downloading https://download.pytorch.org/whl/cu129/torchvision-0.23.0%2Bcu129-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (6.1 kB)\n",
"Collecting torchaudio\n",
" Downloading https://download.pytorch.org/whl/cu129/torchaudio-2.8.0%2Bcu129-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (7.2 kB)\n",
"Collecting xformers\n",
" Downloading https://download.pytorch.org/whl/cu129/xformers-0.0.32.post2-cp39-abi3-manylinux_2_28_x86_64.whl.metadata (1.1 kB)\n",
"Collecting filelock (from torch)\n",
" Downloading https://download.pytorch.org/whl/filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\n",
"Collecting typing-extensions>=4.10.0 (from torch)\n",
" Downloading https://download.pytorch.org/whl/typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB)\n",
"Requirement already satisfied: setuptools in ./venv/lib/python3.12/site-packages (from torch) (80.9.0)\n",
"Collecting sympy>=1.13.3 (from torch)\n",
" Downloading https://download.pytorch.org/whl/sympy-1.13.3-py3-none-any.whl.metadata (12 kB)\n",
"Collecting networkx (from torch)\n",
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"Collecting jinja2 (from torch)\n",
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"Collecting fsspec (from torch)\n",
" Downloading https://download.pytorch.org/whl/fsspec-2024.6.1-py3-none-any.whl.metadata (11 kB)\n",
"Collecting nvidia-cuda-nvrtc-cu12==12.9.86 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cuda_nvrtc_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)\n",
"Collecting nvidia-cuda-runtime-cu12==12.9.79 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cuda_runtime_cu12-12.9.79-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)\n",
"Collecting nvidia-cuda-cupti-cu12==12.9.79 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cuda_cupti_cu12-12.9.79-py3-none-manylinux_2_25_x86_64.whl.metadata (1.8 kB)\n",
"Collecting nvidia-cudnn-cu12==9.10.2.21 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)\n",
"Collecting nvidia-cublas-cu12==12.9.1.4 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cublas_cu12-12.9.1.4-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)\n",
"Collecting nvidia-cufft-cu12==11.4.1.4 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cufft_cu12-11.4.1.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)\n",
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" Downloading https://download.pytorch.org/whl/nvidia_curand_cu12-10.3.10.19-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)\n",
"Collecting nvidia-cusolver-cu12==11.7.5.82 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cusolver_cu12-11.7.5.82-py3-none-manylinux_2_27_x86_64.whl.metadata (1.9 kB)\n",
"Collecting nvidia-cusparse-cu12==12.5.10.65 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cusparse_cu12-12.5.10.65-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)\n",
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" Downloading https://download.pytorch.org/whl/nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl.metadata (7.0 kB)\n",
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" Downloading https://download.pytorch.org/whl/nvidia_nccl_cu12-2.27.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.0 kB)\n",
"Collecting nvidia-nvtx-cu12==12.9.79 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_nvtx_cu12-12.9.79-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl.metadata (1.8 kB)\n",
"Collecting nvidia-nvjitlink-cu12==12.9.86 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)\n",
"Collecting nvidia-cufile-cu12==1.14.1.1 (from torch)\n",
" Downloading https://download.pytorch.org/whl/nvidia_cufile_cu12-1.14.1.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)\n",
"Collecting triton==3.4.0 (from torch)\n",
" Downloading https://download.pytorch.org/whl/triton-3.4.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.7 kB)\n",
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