diff --git "a/checkpoint.ipynb" "b/checkpoint.ipynb" deleted file mode 100644--- "a/checkpoint.ipynb" +++ /dev/null @@ -1,5191 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "ytvvaR-fBhqJ" - }, - "source": [ - "# MusicGen\n", - "Welcome to MusicGen's demo jupyter notebook. Here you will find a series of self-contained examples of how to use MusicGen in different settings.\n", - "\n", - "First, we start by initializing MusicGen, you can choose a model from the following selection:\n", - "1. `facebook/musicgen-small` - 300M transformer decoder.\n", - "2. `facebook/musicgen-medium` - 1.5B transformer decoder.\n", - "3. `facebook/musicgen-melody` - 1.5B transformer decoder also supporting melody conditioning.\n", - "4. `facebook/musicgen-large` - 3.3B transformer decoder.\n", - "\n", - "We will use the `facebook/musicgen-small` variant for the purpose of this demonstration." - ] - }, - { - "cell_type": "code", - "source": [ - "!pip install git+https://github.com/facebookresearch/audiocraft.git" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "jkxqYX2GCUiB", - "outputId": "95ba2202-8d53-4a98-bedd-86160f58880f" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - 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" Stored in directory: /root/.cache/pip/wheels/b1/c2/c0/bea5cc405497284d584b958f293ef32c23bad42ae5e44d973c\n", - " Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=e6c73377ace26427c0cac21cbc490397c5b66af7062593b7563e08bee2063110\n", - " Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n", - " Building wheel for treetable (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Created wheel for treetable: filename=treetable-0.2.5-py3-none-any.whl size=7333 sha256=abfcf0f59749d26a037e4b2ea85a555517461563f88f07a24d9670eb3ac540e8\n", - " Stored in directory: /root/.cache/pip/wheels/72/55/0e/91c3655bdb162446f8a7cd477579397544454a63ae7c599c0c\n", - "Successfully built audiocraft flashy antlr4-python3-runtime demucs julius encodec docopt dora-search ffmpy treetable\n", - "Installing collected packages: pydub, lameenc, ffmpy, docopt, antlr4-python3-runtime, websockets, treetable, tomlkit, submitit, shellingham, semantic-version, ruff, retrying, python-multipart, orjson, omegaconf, num2words, lightning-utilities, h11, einops, colorlog, colorama, av, aiofiles, uvicorn, starlette, hydra-core, httpcore, xformers, torchmetrics, julius, hydra_colorlog, httpx, fastapi, dora-search, openunmix, gradio-client, flashy, encodec, gradio, demucs, audiocraft\n", - "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", - "lida 0.0.10 requires kaleido, which is not installed.\u001b[0m\u001b[31m\n", - "\u001b[0mSuccessfully installed aiofiles-23.2.1 antlr4-python3-runtime-4.9.3 audiocraft-1.3.0a1 av-11.0.0 colorama-0.4.6 colorlog-6.8.2 demucs-4.0.1 docopt-0.6.2 dora-search-0.1.12 einops-0.7.0 encodec-0.1.1 fastapi-0.109.2 ffmpy-0.3.2 flashy-0.0.2 gradio-4.19.1 gradio-client-0.10.0 h11-0.14.0 httpcore-1.0.3 httpx-0.26.0 hydra-core-1.3.2 hydra_colorlog-1.2.0 julius-0.2.7 lameenc-1.7.0 lightning-utilities-0.10.1 num2words-0.5.13 omegaconf-2.3.0 openunmix-1.2.1 orjson-3.9.14 pydub-0.25.1 python-multipart-0.0.9 retrying-1.3.4 ruff-0.2.2 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.36.3 submitit-1.5.1 tomlkit-0.12.0 torchmetrics-1.3.1 treetable-0.2.5 uvicorn-0.27.1 websockets-11.0.3 xformers-0.0.22.post7\n" - ] - }, - { - "output_type": "display_data", - "data": { - "application/vnd.colab-display-data+json": { - "pip_warning": { - "packages": [ - "pydevd_plugins" - ] - } - } - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "%pip install audiocraft" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "NnaKBrjSDOVx", - "outputId": "f716227a-e518-4826-f310-a585c572e566" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: audiocraft in /usr/local/lib/python3.10/dist-packages (1.3.0a1)\n", - "Requirement already satisfied: av in /usr/local/lib/python3.10/dist-packages (from audiocraft) (11.0.0)\n", - "Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from audiocraft) (0.7.0)\n", - "Requirement already satisfied: flashy>=0.0.1 in /usr/local/lib/python3.10/dist-packages (from audiocraft) (0.0.2)\n", - "Requirement already satisfied: hydra-core>=1.1 in /usr/local/lib/python3.10/dist-packages (from audiocraft) (1.3.2)\n", - "Requirement already satisfied: hydra-colorlog in /usr/local/lib/python3.10/dist-packages (from audiocraft) (1.2.0)\n", - 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] - }, - "outputId": "eed272f7-bd20-421b-cd84-842d6a4320cc" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: 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" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "state_dict.bin: 0%| | 0.00/841M [00:00= 0.5).float()\n", - " return wav * envelope" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "id": "xn5CxkD6Bhqe", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 104 - }, - "outputId": "ea6485f0-c8d6-49d8-d3c5-a4a6f45fe7eb" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {} - } - ], - "source": [ - "# Here we use a synthetic signal to prompt both the tonality and the BPM\n", - "# of the generated audio.\n", - "res = model.generate_continuation(\n", - " get_bip_bip(0.125).expand(2, -1, -1),\n", - " 32000, ['Jazz jazz and only jazz',\n", - " 'Heartful EDM with beautiful synths and chords'],\n", - " progress=True)\n", - "display_audio(res, 32000)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - 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