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"base_uri": "https://localhost:8080/" + }, + "id": "HKikTDsVA1_g", + "outputId": "1906df87-d848-4099-acec-b18c40db200a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/ttts\n", + "Obtaining file:///content/ttts\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Installing collected packages: ttts\n", + " Running setup.py develop for ttts\n", + "Successfully installed ttts-0.1\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!git lfs install\n", + "!git clone https://huggingface.co/adelacvg/TTTS" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_KYD7eZQB4x7", + "outputId": "dc2fc2b8-5883-4d96-96b6-5df190d356f7" + }, + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Git LFS initialized.\n", + "Cloning into 'TTTS'...\n", + "fatal: Remote branch master not found in upstream origin\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import locale\n", + "locale.getpreferredencoding = lambda: \"UTF-8\"\n", + "!pip install pypinyin einops omegaconf==2.0.6 encodec vocos k_diffusion" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "UcOqgsONDGZ3", + "outputId": "5d0ef477-0263-4cad-cd75-da93a1482a87" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting pypinyin\n", + " Downloading pypinyin-0.50.0-py2.py3-none-any.whl (1.4 MB)\n", + "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.4 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.2/1.4 MB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K 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filename=encodec-0.1.1-py3-none-any.whl size=45759 sha256=a6f25c3141ae73377bf58efa53716b479f3299aaebcbaf213514f7955a86427f\n", + " Stored in directory: /root/.cache/pip/wheels/fc/36/cb/81af8b985a5f5e0815312d5e52b41263237af07b977e6bcbf3\n", + "Successfully built encodec\n", + "Installing collected packages: trampoline, smmap, setproctitle, sentry-sdk, pypinyin, omegaconf, ftfy, einops, docker-pycreds, gitdb, torchsde, torchdiffeq, kornia, GitPython, dctorch, accelerate, wandb, jsonmerge, encodec, clip-anytorch, clean-fid, vocos, k_diffusion\n", + "Successfully installed GitPython-3.1.41 accelerate-0.26.1 clean-fid-0.1.35 clip-anytorch-2.6.0 dctorch-0.1.2 docker-pycreds-0.4.0 einops-0.7.0 encodec-0.1.1 ftfy-6.1.3 gitdb-4.0.11 jsonmerge-1.9.2 k_diffusion-0.1.1.post1 kornia-0.7.1 omegaconf-2.0.6 pypinyin-0.50.0 sentry-sdk-1.39.2 setproctitle-1.3.3 smmap-5.0.1 torchdiffeq-0.2.3 torchsde-0.2.6 trampoline-0.1.2 vocos-0.1.0 wandb-0.16.2\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "9Iz6jokZ_-AB" + }, + "outputs": [], + "source": [ + "from pypinyin import lazy_pinyin, Style\n", + "import torch\n", + "\n", + "MODELS = {\n", + " 'vqvae.pth':'TTTS/vae-30.pt',\n", + " 'gpt.pth': 'TTTS/gpt-70.pt',\n", + " 'clvp2.pth': '',\n", + " 'diffusion.pth': 'TTTS/diffusion-855.pt',\n", + " 'vocoder.pth': '~/tortoise_plus_zh/ttts/pretrained_models/pytorch_model.bin',\n", + " 'rlg_auto.pth': '',\n", + " 'rlg_diffuser.pth': '',\n", + "}" + ] + }, + { + "cell_type": "code", + "source": [ + "from ttts.gpt.voice_tokenizer import VoiceBpeTokenizer\n", + "import torch.nn.functional as F\n", + "device = 'cuda:0'\n", + "text = \"大家好，今天来点大家想看的东西。\"\n", + "# text = \"霞浦县衙城镇乌旗瓦窑村水位猛涨。\"\n", + "# text = '高德官方网站，拥有全面、精准的地点信息，公交驾车路线规划，特色语音导航，商家团购、优惠信息。'\n", + "# text = '四是四，十是十，十四是十四，四十是四十。'\n", + "# text = '八百标兵奔北坡，炮兵并排北边跑。炮兵怕把标兵碰，标兵怕碰炮兵炮。'\n", + "# text = '黑化肥发灰，灰化肥发黑。黑化肥挥发会发灰；灰化肥挥发会发黑。'\n", + "# text = '先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。然侍卫之臣不懈于内，忠志之士忘身于外者，盖追先帝之殊遇，欲报之于陛下也。诚宜开张圣听，以光先帝遗德，恢弘志士之气，不宜妄自菲薄，引喻失义，以塞忠谏之路也。'\n", + "pinyin = ' '.join(lazy_pinyin(text, style=Style.TONE3, neutral_tone_with_five=True))\n", + "tokenizer = VoiceBpeTokenizer('ttts/gpt/gpt_tts_tokenizer.json')\n", + "text_tokens = torch.IntTensor(tokenizer.encode(pinyin)).unsqueeze(0).to(device)\n", + "text_tokens = F.pad(text_tokens, (0, 1)) # This may not be necessary.\n", + "text_tokens = text_tokens.to(device)\n", + "print(pinyin)\n", + "print(text_tokens)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SpTKi32TDQFi", + "outputId": "84292cc0-d09e-420d-c449-a746e44dade5" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "da4 jia1 hao3 ， jin1 tian1 lai2 dian3 da4 jia1 xiang3 kan4 de5 dong1 xi1 。\n", + "tensor([[161, 2, 155, 2, 16, 87, 2, 43, 2, 224, 2, 171, 71, 2,\n", + " 182, 2, 188, 2, 161, 2, 155, 2, 62, 92, 2, 19, 63, 2,\n", + " 65, 2, 12, 84, 2, 228, 2, 39, 0]], device='cuda:0',\n", + " dtype=torch.int32)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from ttts.utils.infer_utils import load_model\n", + "from ttts.vocoder.feature_extractors import MelSpectrogramFeatures\n", + "import torchaudio\n", + "# device = 'gpu:0'\n", + "gpt = load_model('gpt',MODELS['gpt.pth'],'ttts/gpt/config.json',device)\n", + "gpt.post_init_gpt2_config(use_deepspeed=False, kv_cache=False, half=False)\n", + "# diffusion = load_model('diffusion',MODELS['diffusion.pth'],'ttts/diffusion/config.json',device)\n", + "cond_audio = 'ttts/3.wav'\n", + "audio,sr = torchaudio.load(cond_audio)\n", + "if audio.shape[0]>1:\n", + " audio = audio[0].unsqueeze(0)\n", + "audio = torchaudio.transforms.Resample(sr,24000)(audio)\n", + "cond_mel = MelSpectrogramFeatures()(audio).to(device)\n", + "print(cond_mel.shape)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0LBf8nz2DQ-_", + "outputId": "5da3c1c4-1988-4f78-d6c3-0bb936132ea0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py:381: UserWarning: Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 Transformers. Using `model.gradient_checkpointing_enable()` instead, or if you are using the `Trainer` API, pass `gradient_checkpointing=True` in your `TrainingArguments`.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "torch.Size([1, 100, 400])\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "auto_conditioning = cond_mel\n", + "settings = {'temperature': .8, 'length_penalty': 1.0, 'repetition_penalty': 2.0,\n", + " 'top_p': .8,\n", + " 'cond_free_k': 2.0, 'diffusion_temperature': 1.0}\n", + "top_p = .8\n", + "temperature = .8\n", + "autoregressive_batch_size = 1\n", + "length_penalty = 1.0\n", + "repetition_penalty = 2.0\n", + "max_mel_tokens = 600\n", + "print(auto_conditioning.shape)\n", + "print(text_tokens.shape)\n", + "# text_tokens = F.pad(text_tokens,(0,400-text_tokens.shape[1]),value=0)\n", + "print(text_tokens.shape)\n", + "codes = gpt.inference_speech(auto_conditioning, text_tokens,\n", + " do_sample=True,\n", + " top_p=top_p,\n", + " temperature=temperature,\n", + " num_return_sequences=autoregressive_batch_size,\n", + " length_penalty=length_penalty,\n", + " repetition_penalty=repetition_penalty,\n", + " max_generate_length=max_mel_tokens)\n", + "print(codes)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "VFEHSQ42Dadt", + "outputId": "774d31e7-8619-40b7-b503-29b1db39b07a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "torch.Size([1, 100, 400])\n", + "torch.Size([1, 37])\n", + "torch.Size([1, 37])\n", + "tensor([[2867, 40, 7537, 5986, 692, 8079, 3282, 2094, 7478, 3286, 6652, 6674,\n", + " 5798, 2868, 4153, 1419, 4593, 423, 4472, 1487, 1989, 1628, 2796, 7296,\n", + " 4683, 3228, 7038, 6446, 89, 650, 7796, 2746, 4241, 4120, 2312, 1319,\n", + " 920, 4114, 6384, 4140, 1420, 7758, 1772, 6313, 4813, 1588, 366, 7217,\n", + " 6078, 2773, 6962, 5245, 7034, 1663, 6909, 7176, 3340, 3308, 1078, 72,\n", + " 1060, 4546, 2860, 3679, 6956, 4215, 2774, 5394, 0, 8193]],\n", + " device='cuda:0')\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from vocos import Vocos\n", + "\n", + "vocos = Vocos.from_pretrained(\"charactr/vocos-mel-24khz\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 209, + "referenced_widgets": [ + "474d9a121acd4a4ab0d9f946db1568bc", + "576d89979ab246ed9889ca55ebef3d92", + "700fe25008db413db8fe97821a164ab4", + "46d2cadc00a348b69721f0a451b6ea8c", + "4340f0135b5d4a2f90a507ab8230e6e7", + "cead9aa9d7b34351b660f330c27ac310", + "9552a1bfd4d34f76b6a1582b612a4ebf", + "b1d1d14f6aa94217b3d6dfd3daee1da8", + "99867e32bd674d709aaf1b0f7102ee81", + "03c99e67ea69449f9a7bcda1419d0ec4", + "380cbd29f1b84541ae20ef1f683ce69f", + "b5624e5cd9a54018ac0a1db436ea7202", + "ed549a2ef8ef4b28b73d8b56cbd3519d", + "a72129f5b6774545a9e0a30f7cb1e619", + "6166f05435dc4b59b7a36229183a4828", + "dbf4ddee3a42433c98ccce6883fab83d", + "b9a2279178094b598fcd978e8edc75fa", + "62fdbd59289c45e6a56154f9c7740c87", + "198ea7e06ab94c34b3c35b978ce754ff", + "0c9f4972097d49259122001e726d67bd", + "3e52c628e5904044a77a2cc9efb942f0", + "4d20115a059542f9b718f4f69fb16a87" + ] + }, + "id": "cIGDrvOHDfvS", + "outputId": "50e7c89c-d2c2-4655-c34b-0cd7d556b791" + }, + "execution_count": null, + "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": [ + "config.yaml: 0%| | 0.00/461 [00:00" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 13 + } + ] + } + ] +} \ No newline at end of file