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306 | 306 | "formant_shift = False # @param{type:\"boolean\"}\n", |
307 | 307 | "formant_qfrency = 1.0 # @param {type:\"slider\", min:1.0, max:16.0, step:0.1}\n", |
308 | 308 | "formant_timbre = 1.0 # @param {type:\"slider\", min:1.0, max:16.0, step:0.1}\n", |
309 | | - "embedder_model = \"contentvec\" # @param [\"contentvec\", \"chinese-hubert-base\", \"japanese-hubert-base\", \"korean-hubert-base\", \"custom\"] {allow-input: false}\n", |
| 309 | + "embedder_model = \"contentvec\" # @param [\"contentvec\", \"spin-v2\", \"chinese-hubert-base\", \"japanese-hubert-base\", \"korean-hubert-base\", \"custom\"] {allow-input: false}\n", |
310 | 310 | "embedder_model_custom = \"\" # @param {type:\"string\"}\n", |
311 | 311 | "\n", |
312 | 312 | "!rm -f \"{output_path}\"\n", |
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443 | 443 | "\n", |
444 | 444 | "sr = int(sample_rate.rstrip(\"k\")) * 1000\n", |
445 | 445 | "include_mutes = 2 # @param {type:\"slider\", min:0, max:10, step:1}\n", |
446 | | - "embedder_model = \"contentvec\" # @param [\"contentvec\", \"chinese-hubert-base\", \"japanese-hubert-base\", \"korean-hubert-base\", \"custom\"] {allow-input: false}\n", |
| 446 | + "embedder_model = \"contentvec\" # @param [\"contentvec\", \"spin-v2\", \"chinese-hubert-base\", \"japanese-hubert-base\", \"korean-hubert-base\", \"custom\"] {allow-input: false}\n", |
447 | 447 | "embedder_model_custom = \"\" # @param {type:\"string\"}\n", |
448 | 448 | "\n", |
449 | 449 | "%cd /content/Applio\n", |
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482 | 482 | "pretrained = True # @param{type:\"boolean\"}\n", |
483 | 483 | "cleanup = False # @param{type:\"boolean\"}\n", |
484 | 484 | "cache_data_in_gpu = False # @param{type:\"boolean\"}\n", |
485 | | - "vocoder = \"HiFi-GAN\" # @param [\"HiFi-GAN\"]\n", |
| 485 | + "vocoder = \"HiFi-GAN\" # @param [\"HiFi-GAN\", \"RefineGAN\"]\n", |
486 | 486 | "checkpointing = False\n", |
487 | 487 | "tensorboard = True # @param{type:\"boolean\"}\n", |
488 | 488 | "# @markdown ### ➡️ Choose how many epochs your model will be stored\n", |
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