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Error when using system voices and custom voices #1440
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Have you ever managed to successfully use any of the included voices? It seems that it's missing some of the files. Download it again and decompress to a new folder. Also provide the right version, there is no MSC v1929, the latest version for v1 should be v1.5.3.18a. You can also try the latest v2 and test if that works better for you. |
"Have you ever managed to successfully use any of the included voices?" Yes, working ONLY Beatric |
"the latest version for v1 should be v1.5.3.18a." im using it version and not working |
im can try install old version? |
or "[MMVCServerSIO_win_onnxgpu-cuda_v.1.5.3.18a.zip"? |
and can you say how to install v2? |
I already gave you the link to all the latest versions. Just decompress the file and run it. |
ok |
[Voice Changer] Waiting generate pipeline...
[Voice Changer] Pipeline is not initialized.
please help
[Voice Changer] update configuration: modelSlotIndex 1737894456001
[Voice Changer] model slot is changed 2 -> 1
................RVC
[Voice Changer] [RVCr2] Creating instance
VoiceChangerV2 Initialized (GPU_NUM(cuda):0, mps_enabled:False, onnx_device:CPU-DML)
[Voice Changer][RVC]: update_settings gpu:0
[Voice Changer][RVCr2] Initializing...
2025-01-26 19:27:40.8720492 [W:onnxruntime:, session_state.cc:1169 onnxruntime::VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-01-26 19:27:40.9213169 [W:onnxruntime:, session_state.cc:1171 onnxruntime::VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
[Voice Changer] generate new embedder. (no embedder)
[Voice Changer] use torch contentvec [ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from pretrain/content_vec_500.onnx failed:Protobuf parsing failed.
[Voice Changer] exception! loading embedder PytorchStreamReader failed reading zip archive: failed finding central directory cpu
Traceback (most recent call last):
File "voice_changer\RVC\embedder\EmbedderManager.py", line 44, in loadEmbedder
File "voice_changer\RVC\embedder\OnnxContentvec.py", line 17, in loadModel
File "onnxruntime\capi\onnxruntime_inference_collection.py", line 383, in init
File "onnxruntime\capi\onnxruntime_inference_collection.py", line 424, in _create_inference_session
onnxruntime.capi.onnxruntime_pybind11_state.InvalidProtobuf: [ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from pretrain/content_vec_500.onnx failed:Protobuf parsing failed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "voice_changer\RVC\pipeline\PipelineGenerator.py", line 30, in createPipeline
File "voice_changer\RVC\embedder\EmbedderManager.py", line 25, in getEmbedder
File "voice_changer\RVC\embedder\EmbedderManager.py", line 48, in loadEmbedder
File "voice_changer\RVC\embedder\FairseqHubert.py", line 11, in loadModel
File "fairseq\checkpoint_utils.py", line 425, in load_model_ensemble_and_task
state = load_checkpoint_to_cpu(filename, arg_overrides)
File "fairseq\checkpoint_utils.py", line 315, in load_checkpoint_to_cpu
state = torch.load(f, map_location=torch.device("cpu"))
File "torch\serialization.py", line 797, in load
with _open_zipfile_reader(opened_file) as opened_zipfile:
File "torch\serialization.py", line 283, in init
super().init(torch._C.PyTorchFileReader(name_or_buffer))
RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
[Voice Changer] pipeline create failed. check your model is valid.
[Voice Changer][RVC]: update_settings serverReadChunkSize:128
[Voice Changer][RVC]: update_settings extraConvertSize:32768
[Voice Changer][RVC]: update_settings modelSlotIndex:1737894456001
MSC v.1929 64 bit (AMD64)
im using CABLE Input (VB-Audio Virtual Cable)
if you need more info please type
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