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datong-new / rvc
- Public
- 198 runs
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=datong-new/rvc
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run datong-new/rvc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"datong-new/rvc:5da9f66869beacc8f2484215e25c88053acfe24044d64d4b26bbc40f7b5428dc",
{
input: {
f0_up_key: 8,
operation: "train_infer",
accompaniment: true,
audio_for_infer: "https://replicate.delivery/pbxt/KSuE9SkdHEsXPUlZmWj4kMwRNZwJ0CR0EFTzjJAwVqKY8brY/1.wav",
audio_for_train: "https://replicate.delivery/pbxt/KSuE9M9iVBPPXjGWfkGpiwD9iZOlHSwAwVmX0vHaA2hJ41Ca/wobunanguo.flac"
}
}
);
console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun datong-new/rvc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"datong-new/rvc:5da9f66869beacc8f2484215e25c88053acfe24044d64d4b26bbc40f7b5428dc",
input={
"f0_up_key": 8,
"operation": "train_infer",
"accompaniment": True,
"audio_for_infer": "https://replicate.delivery/pbxt/KSuE9SkdHEsXPUlZmWj4kMwRNZwJ0CR0EFTzjJAwVqKY8brY/1.wav",
"audio_for_train": "https://replicate.delivery/pbxt/KSuE9M9iVBPPXjGWfkGpiwD9iZOlHSwAwVmX0vHaA2hJ41Ca/wobunanguo.flac"
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run datong-new/rvc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "datong-new/rvc:5da9f66869beacc8f2484215e25c88053acfe24044d64d4b26bbc40f7b5428dc",
"input": {
"f0_up_key": 8,
"operation": "train_infer",
"accompaniment": true,
"audio_for_infer": "https://replicate.delivery/pbxt/KSuE9SkdHEsXPUlZmWj4kMwRNZwJ0CR0EFTzjJAwVqKY8brY/1.wav",
"audio_for_train": "https://replicate.delivery/pbxt/KSuE9M9iVBPPXjGWfkGpiwD9iZOlHSwAwVmX0vHaA2hJ41Ca/wobunanguo.flac"
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
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terms of service and privacy policy
Output
ckpt_path
default.pthcloned_audio
Video Player is loading.
Current Time 00:00:000
/
Duration 00:00:000
Loaded: 0%
Stream Type LIVE
Remaining Time -00:00:000
1x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{
"completed_at": "2024-02-25T12:51:58.322834Z",
"created_at": "2024-02-25T12:44:50.386033Z",
"data_removed": false,
"error": null,
"id": "kwohmxzbqtrk2ssyxusm2wf4sy",
"input": {
"f0_up_key": 8,
"operation": "train_infer",
"accompaniment": true,
"audio_for_infer": "https://replicate.delivery/pbxt/KSuE9SkdHEsXPUlZmWj4kMwRNZwJ0CR0EFTzjJAwVqKY8brY/1.wav",
"audio_for_train": "https://replicate.delivery/pbxt/KSuE9M9iVBPPXjGWfkGpiwD9iZOlHSwAwVmX0vHaA2hJ41Ca/wobunanguo.flac"
},
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'data': 'metadata', 'fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target': False, 'random_crop': True, 'pad_audio': False}\n2024-02-25 12:49:19 | INFO | fairseq.models.hubert.hubert | HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default, 'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activation_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False}\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\nwarnings.warn(\"torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\")\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\nwarnings.warn(\"torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\")\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\nNote: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)\nreturn _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\nNote: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)\nreturn _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\nNote: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)\nreturn _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\nNote: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)\nreturn _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\nNote: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)\nreturn _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/autograd/__init__.py:266: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance.\ngrad.sizes() = [64, 1, 4], strides() = [4, 1, 1]\nbucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:322.)\nVariable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass\n/root/.pyenv/versions/3.8.10/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 20 leaked semaphore objects to clean up at shutdown\nwarnings.warn('resource_tracker: There appear to be %d '\n 0%| | 0/65 [00:00<?, ?it/s]\n 2%|▏ | 1/65 [00:00<00:06, 9.82it/s]\n 5%|▍ | 3/65 [00:00<00:05, 11.97it/s]\n 8%|▊ | 5/65 [00:00<00:04, 13.09it/s]\n 11%|█ | 7/65 [00:00<00:04, 13.78it/s]\n 14%|█▍ | 9/65 [00:00<00:03, 14.08it/s]\n 17%|█▋ | 11/65 [00:00<00:03, 14.28it/s]\n 20%|██ | 13/65 [00:00<00:03, 14.47it/s]\n 23%|██▎ | 15/65 [00:01<00:03, 14.56it/s]\n 26%|██▌ | 17/65 [00:01<00:03, 14.66it/s]\n 29%|██▉ | 19/65 [00:01<00:03, 14.64it/s]\n 32%|███▏ | 21/65 [00:01<00:02, 14.76it/s]\n 35%|███▌ | 23/65 [00:01<00:02, 14.84it/s]\n 38%|███▊ | 25/65 [00:01<00:02, 14.95it/s]\n 42%|████▏ | 27/65 [00:01<00:02, 15.00it/s]\n 45%|████▍ | 29/65 [00:02<00:02, 15.02it/s]\n 48%|████▊ | 31/65 [00:02<00:02, 14.98it/s]\n 51%|█████ | 33/65 [00:02<00:02, 14.79it/s]\n 54%|█████▍ | 35/65 [00:02<00:02, 14.89it/s]\n 57%|█████▋ | 37/65 [00:02<00:01, 14.84it/s]\n 60%|██████ | 39/65 [00:02<00:01, 14.79it/s]\n 63%|██████▎ | 41/65 [00:02<00:01, 14.79it/s]\n 66%|██████▌ | 43/65 [00:02<00:01, 14.84it/s]\n 69%|██████▉ | 45/65 [00:03<00:01, 14.84it/s]\n 72%|███████▏ | 47/65 [00:03<00:01, 14.78it/s]\n 75%|███████▌ | 49/65 [00:03<00:01, 14.78it/s]\n 78%|███████▊ | 51/65 [00:03<00:00, 14.82it/s]\n 82%|████████▏ | 53/65 [00:03<00:00, 14.93it/s]\n 85%|████████▍ | 55/65 [00:03<00:00, 14.89it/s]\n 88%|████████▊ | 57/65 [00:03<00:00, 14.88it/s]\n 91%|█████████ | 59/65 [00:04<00:00, 14.90it/s]\n 94%|█████████▍| 61/65 [00:04<00:00, 14.90it/s]\n 97%|█████████▋| 63/65 [00:04<00:00, 14.98it/s]\n100%|██████████| 65/65 [00:04<00:00, 14.97it/s]\n100%|██████████| 65/65 [00:04<00:00, 14.67it/s]",
"metrics": {
"predict_time": 262.949361,
"total_time": 427.936801
},
"output": {
"ckpt_path": "https://replicate.delivery/pbxt/V3fTVi4SctXuQSxtwkw57z1fJdHeSzJeUXJl1DvlmG02e0RTC/default.pth",
"cloned_audio": "https://replicate.delivery/pbxt/dIl0M30PMzaTLpGgF2v4BpZAqhBOMESzTcVTylAFpmW7pjmE/audio_cloned.wav"
},
"started_at": "2024-02-25T12:47:35.373473Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/kwohmxzbqtrk2ssyxusm2wf4sy",
"cancel": "https://api.replicate.com/v1/predictions/kwohmxzbqtrk2ssyxusm2wf4sy/cancel"
},
"version": "07402961aee9e589b0d5fd05368158da3f8df772849c95c2a08c2e3d031fd19a"
}Generated in
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2024-02-25 12:49:19 | INFO | fairseq.tasks.hubert_pretraining | current directory is /src
2024-02-25 12:49:19 | INFO | fairseq.tasks.hubert_pretraining | HubertPretrainingTask Config {'_name': 'hubert_pretraining', 'data': 'metadata', 'fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target': False, 'random_crop': True, 'pad_audio': False}
2024-02-25 12:49:19 | INFO | fairseq.models.hubert.hubert | HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default, 'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activation_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False}
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/functional.py:660: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:874.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
/root/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/autograd/__init__.py:266: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance.
grad.sizes() = [64, 1, 4], strides() = [4, 1, 1]
bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:322.)
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
/root/.pyenv/versions/3.8.10/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 20 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
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100%|██████████| 65/65 [00:04<00:00, 14.67it/s]This output was created using a different version of the model, datong-new/rvc:07402961.
Run time and cost
This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.
