ttsds/fishspeech_1_2_sft
/
fishspeech_1_2_sft
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View profilettsds/fishspeech_1_2_sft
The Fish Speech V1.2 SFT model.
ttsds/amphion_valle
The VALL-E models by Amphion.
ttsds/amphion_naturalspeech2
The NaturalSpeech2 model by Amphion.
ttsds/amphion_maskgct
The MaskGCT model by Amphion.
ttsds/amphion_vevo
The Vevo model by Amphion.
ttsds/bark
The Bark model by Suno.
ttsds/bark_small
The small version of the Bark model by Suno.
ttsds/e2
ttsds/fishspeech_1_0
The Fish Speech V1.0 model.
ttsds/fishspeech_1_1
The Fish Speech V1.1 model.
ttsds/fishspeech_1_2
The Fish Speech V1.2 model.
ttsds/fishspeech_1_4
The Fish Speech V1.4 model.
ttsds/fishspeech_1_5
The Fish Speech V1.5 model.
ttsds/gptsovits_1
ttsds/gptsovits_2
ttsds/hierspeechpp_lt460
ttsds/hierspeechpp_1
ttsds/hierspeechpp_1_1
ttsds/fishspeech_1_1_large
ttsds/f5
ttsds/metavoice
Prediction
ttsds/fishspeech_1_2_sft:34a7e498d81e49e7200ee9aaa52f18b2529f30162ba6afd163b43037aa5a5d20ID50t54px1jxrme0cmnrxaz05sp4StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- text
- With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.
- text_reference
- and keeping eternity before the eyes, though much
- speaker_reference
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x
- 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.
{ "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.", "text_reference": "and keeping eternity before the eyes, though much", "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run ttsds/fishspeech_1_2_sft using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ttsds/fishspeech_1_2_sft:34a7e498d81e49e7200ee9aaa52f18b2529f30162ba6afd163b43037aa5a5d20", { input: { text: "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.", text_reference: "and keeping eternity before the eyes, though much", speaker_reference: "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun ttsds/fishspeech_1_2_sft using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ttsds/fishspeech_1_2_sft:34a7e498d81e49e7200ee9aaa52f18b2529f30162ba6afd163b43037aa5a5d20", input={ "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.", "text_reference": "and keeping eternity before the eyes, though much", "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run ttsds/fishspeech_1_2_sft 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": "ttsds/fishspeech_1_2_sft:34a7e498d81e49e7200ee9aaa52f18b2529f30162ba6afd163b43037aa5a5d20", "input": { "text": "With tenure, Suzie\'d have all the more leisure for yachting, but her publications are no good.", "text_reference": "and keeping eternity before the eyes, though much", "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- 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": "2025-01-28T18:45:43.867597Z", "created_at": "2025-01-28T18:44:25.623000Z", "data_removed": false, "error": null, "id": "50t54px1jxrme0cmnrxaz05sp4", "input": { "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.", "text_reference": "and keeping eternity before the eyes, though much", "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav" }, "logs": "2025-01-28 18:45:39.050 | INFO | tools.llama.generate:generate_long:432 - Encoded text: With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.\n2025-01-28 18:45:39.050 | INFO | tools.llama.generate:generate_long:450 - Generating sentence 1/1 of sample 1/1\n 0%| | 0/3892 [00:00<?, ?it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/backends/cuda/__init__.py:342: FutureWarning: torch.backends.cuda.sdp_kernel() is deprecated. In the future, this context manager will be removed. Please see, torch.nn.attention.sdpa_kernel() for the new context manager, with updated signature.\nwarnings.warn(\n 0%| | 6/3892 [00:00<01:10, 54.92it/s]\n 0%| | 12/3892 [00:00<01:08, 56.30it/s]\n 0%| | 18/3892 [00:00<01:08, 56.74it/s]\n 1%| | 24/3892 [00:00<01:07, 56.99it/s]\n 1%| | 30/3892 [00:00<01:07, 57.13it/s]\n 1%| | 36/3892 [00:00<01:07, 57.23it/s]\n 1%| | 42/3892 [00:00<01:07, 57.29it/s]\n 1%| | 48/3892 [00:00<01:07, 57.26it/s]\n 1%|▏ | 54/3892 [00:00<01:07, 57.27it/s]\n 2%|▏ | 60/3892 [00:01<01:06, 57.21it/s]\n 2%|▏ | 66/3892 [00:01<01:06, 57.23it/s]\n 2%|▏ | 72/3892 [00:01<01:06, 57.22it/s]\n 2%|▏ | 78/3892 [00:01<01:06, 57.22it/s]\n 2%|▏ | 84/3892 [00:01<01:07, 56.64it/s]\n 2%|▏ | 90/3892 [00:01<01:07, 56.65it/s]\n 2%|▏ | 96/3892 [00:01<01:06, 56.84it/s]\n 3%|▎ | 102/3892 [00:01<01:07, 56.24it/s]\n 3%|▎ | 108/3892 [00:01<01:06, 56.51it/s]\n 3%|▎ | 114/3892 [00:02<01:06, 56.73it/s]\n 3%|▎ | 120/3892 [00:02<01:06, 56.94it/s]\n 3%|▎ | 126/3892 [00:02<01:06, 57.04it/s]\n 3%|▎ | 132/3892 [00:02<01:05, 57.14it/s]\n 4%|▎ | 138/3892 [00:02<01:06, 56.88it/s]\n 4%|▎ | 144/3892 [00:02<01:05, 56.98it/s]\n 4%|▍ | 150/3892 [00:02<01:05, 57.13it/s]\n 4%|▍ | 156/3892 [00:02<01:05, 57.09it/s]\n 4%|▍ | 162/3892 [00:02<01:05, 57.00it/s]\n 4%|▍ | 168/3892 [00:02<01:05, 57.04it/s]\n 4%|▍ | 174/3892 [00:03<01:05, 57.15it/s]\n 5%|▍ | 180/3892 [00:03<01:04, 57.20it/s]\n 5%|▍ | 186/3892 [00:03<01:04, 57.18it/s]\n 5%|▍ | 192/3892 [00:03<01:04, 57.21it/s]\n 5%|▌ | 198/3892 [00:03<01:04, 57.24it/s]\n 5%|▌ | 204/3892 [00:03<01:04, 57.32it/s]\n 5%|▌ | 210/3892 [00:03<01:04, 57.38it/s]\n 6%|▌ | 216/3892 [00:03<01:04, 57.34it/s]\n 6%|▌ | 222/3892 [00:03<01:04, 57.27it/s]\n 6%|▌ | 228/3892 [00:03<01:03, 57.36it/s]\n 6%|▌ | 234/3892 [00:04<01:04, 56.65it/s]\n 6%|▌ | 240/3892 [00:04<01:04, 56.89it/s]\n6%|▌ | 243/3892 [00:04<01:04, 56.78it/s]\n2025-01-28 18:45:43.499 | INFO | tools.llama.generate:generate_long:505 - Generated 245 tokens in 4.45 seconds, 55.07 tokens/sec\n2025-01-28 18:45:43.499 | INFO | tools.llama.generate:generate_long:508 - Bandwidth achieved: 27.00 GB/s\n2025-01-28 18:45:43.499 | INFO | tools.llama.generate:generate_long:513 - GPU Memory used: 1.56 GB\n/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)\nreturn F.conv1d(input, weight, bias, self.stride,\nNext sample", "metrics": { "predict_time": 5.09241007, "total_time": 78.244597 }, "output": "https://replicate.delivery/xezq/rXAanJ47XKbWJ9gTbnNPibxbNBX3CmzjCKhUb1wyrL81XbCF/generated.wav", "started_at": "2025-01-28T18:45:38.775187Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-peyax7uzinhbwwofrvbyjmtxaocejnhcttq6jp3mrgy5jvwh5xbq", "get": "https://api.replicate.com/v1/predictions/50t54px1jxrme0cmnrxaz05sp4", "cancel": "https://api.replicate.com/v1/predictions/50t54px1jxrme0cmnrxaz05sp4/cancel" }, "version": "34a7e498d81e49e7200ee9aaa52f18b2529f30162ba6afd163b43037aa5a5d20" }Generated in2025-01-28 18:45:39.050 | INFO | tools.llama.generate:generate_long:432 - Encoded text: With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good. 2025-01-28 18:45:39.050 | INFO | tools.llama.generate:generate_long:450 - Generating sentence 1/1 of sample 1/1 0%| | 0/3892 [00:00<?, ?it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/backends/cuda/__init__.py:342: FutureWarning: torch.backends.cuda.sdp_kernel() is deprecated. In the future, this context manager will be removed. Please see, torch.nn.attention.sdpa_kernel() for the new context manager, with updated signature. warnings.warn( 0%| | 6/3892 [00:00<01:10, 54.92it/s] 0%| | 12/3892 [00:00<01:08, 56.30it/s] 0%| | 18/3892 [00:00<01:08, 56.74it/s] 1%| | 24/3892 [00:00<01:07, 56.99it/s] 1%| | 30/3892 [00:00<01:07, 57.13it/s] 1%| | 36/3892 [00:00<01:07, 57.23it/s] 1%| | 42/3892 [00:00<01:07, 57.29it/s] 1%| | 48/3892 [00:00<01:07, 57.26it/s] 1%|▏ | 54/3892 [00:00<01:07, 57.27it/s] 2%|▏ | 60/3892 [00:01<01:06, 57.21it/s] 2%|▏ | 66/3892 [00:01<01:06, 57.23it/s] 2%|▏ | 72/3892 [00:01<01:06, 57.22it/s] 2%|▏ | 78/3892 [00:01<01:06, 57.22it/s] 2%|▏ | 84/3892 [00:01<01:07, 56.64it/s] 2%|▏ | 90/3892 [00:01<01:07, 56.65it/s] 2%|▏ | 96/3892 [00:01<01:06, 56.84it/s] 3%|▎ | 102/3892 [00:01<01:07, 56.24it/s] 3%|▎ | 108/3892 [00:01<01:06, 56.51it/s] 3%|▎ | 114/3892 [00:02<01:06, 56.73it/s] 3%|▎ | 120/3892 [00:02<01:06, 56.94it/s] 3%|▎ | 126/3892 [00:02<01:06, 57.04it/s] 3%|▎ | 132/3892 [00:02<01:05, 57.14it/s] 4%|▎ | 138/3892 [00:02<01:06, 56.88it/s] 4%|▎ | 144/3892 [00:02<01:05, 56.98it/s] 4%|▍ | 150/3892 [00:02<01:05, 57.13it/s] 4%|▍ | 156/3892 [00:02<01:05, 57.09it/s] 4%|▍ | 162/3892 [00:02<01:05, 57.00it/s] 4%|▍ | 168/3892 [00:02<01:05, 57.04it/s] 4%|▍ | 174/3892 [00:03<01:05, 57.15it/s] 5%|▍ | 180/3892 [00:03<01:04, 57.20it/s] 5%|▍ | 186/3892 [00:03<01:04, 57.18it/s] 5%|▍ | 192/3892 [00:03<01:04, 57.21it/s] 5%|▌ | 198/3892 [00:03<01:04, 57.24it/s] 5%|▌ | 204/3892 [00:03<01:04, 57.32it/s] 5%|▌ | 210/3892 [00:03<01:04, 57.38it/s] 6%|▌ | 216/3892 [00:03<01:04, 57.34it/s] 6%|▌ | 222/3892 [00:03<01:04, 57.27it/s] 6%|▌ | 228/3892 [00:03<01:03, 57.36it/s] 6%|▌ | 234/3892 [00:04<01:04, 56.65it/s] 6%|▌ | 240/3892 [00:04<01:04, 56.89it/s] 6%|▌ | 243/3892 [00:04<01:04, 56.78it/s] 2025-01-28 18:45:43.499 | INFO | tools.llama.generate:generate_long:505 - Generated 245 tokens in 4.45 seconds, 55.07 tokens/sec 2025-01-28 18:45:43.499 | INFO | tools.llama.generate:generate_long:508 - Bandwidth achieved: 27.00 GB/s 2025-01-28 18:45:43.499 | INFO | tools.llama.generate:generate_long:513 - GPU Memory used: 1.56 GB /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.) return F.conv1d(input, weight, bias, self.stride, Next sample
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