Anjok07 / ultimatevocalremovergui

GUI for a Vocal Remover that uses Deep Neural Networks.
MIT License
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Error Message #558

Open SonicFronk002 opened 1 year ago

SonicFronk002 commented 1 year ago

Got this error when trying to convert:

Last Error Received:

Process: MDX-Net

If this error persists, please contact the developers with the error details.

Raw Error Details:

Fail: "[ONNXRuntimeError] : 1 : FAIL : bad allocation" Traceback Error: " File "UVR.py", line 4716, in process_start File "separate.py", line 287, in seperate File "separate.py", line 366, in demix_base File "separate.py", line 386, in run_model File "separate.py", line 281, in File "onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run "

Error Time Stamp [2023-05-15 16:00:52]

Full Application Settings:

vr_model: Choose Model aggression_setting: 10 window_size: 512 batch_size: 4 crop_size: 256 is_tta: False is_output_image: False is_post_process: False is_high_end_process: False post_process_threshold: 0.2 vr_voc_inst_secondary_model: No Model Selected vr_other_secondary_model: No Model Selected vr_bass_secondary_model: No Model Selected vr_drums_secondary_model: No Model Selected vr_is_secondary_model_activate: False vr_voc_inst_secondary_model_scale: 0.9 vr_other_secondary_model_scale: 0.7 vr_bass_secondary_model_scale: 0.5 vr_drums_secondary_model_scale: 0.5 demucs_model: Choose Model segment: Default overlap: 0.25 shifts: 2 chunks_demucs: Auto margin_demucs: 44100 is_chunk_demucs: False is_chunk_mdxnet: False is_primary_stem_only_Demucs: False is_secondary_stem_only_Demucs: False is_split_mode: True is_demucs_combine_stems: True demucs_voc_inst_secondary_model: No Model Selected demucs_other_secondary_model: No Model Selected demucs_bass_secondary_model: No Model Selected demucs_drums_secondary_model: No Model Selected demucs_is_secondary_model_activate: False demucs_voc_inst_secondary_model_scale: 0.9 demucs_other_secondary_model_scale: 0.7 demucs_bass_secondary_model_scale: 0.5 demucs_drums_secondary_model_scale: 0.5 demucs_pre_proc_model: No Model Selected is_demucs_pre_proc_model_activate: False is_demucs_pre_proc_model_inst_mix: False mdx_net_model: UVR-MDX-NET Inst HQ 1 chunks: Auto margin: 44100 compensate: Auto is_denoise: False is_invert_spec: False is_mixer_mode: False mdx_batch_size: Default mdx_voc_inst_secondary_model: No Model Selected mdx_other_secondary_model: No Model Selected mdx_bass_secondary_model: No Model Selected mdx_drums_secondary_model: No Model Selected mdx_is_secondary_model_activate: False mdx_voc_inst_secondary_model_scale: 0.9 mdx_other_secondary_model_scale: 0.7 mdx_bass_secondary_model_scale: 0.5 mdx_drums_secondary_model_scale: 0.5 is_save_all_outputs_ensemble: True is_append_ensemble_name: False chosen_audio_tool: Manual Ensemble choose_algorithm: Min Spec time_stretch_rate: 2.0 pitch_rate: 2.0 is_gpu_conversion: False is_primary_stem_only: True is_secondary_stem_only: False is_testing_audio: False is_add_model_name: False is_accept_any_input: False is_task_complete: False is_normalization: False is_create_model_folder: False mp3_bit_set: 320k save_format: WAV wav_type_set: PCM_16 help_hints_var: False model_sample_mode: False model_sample_mode_duration: 30 demucs_stems: All Stems

Please Help.

Suwadith commented 1 year ago

It could be a memory allocation issue. If you are using the GPU instead of the CPU (Default), make sure you are at least having an RTX 2XXX series GPU on your PC. If you are using the CPU (Default), it could mean that you don't have enough RAM installed for the ML model to utilize. Try reducing the batch size on the app (set it to the lowest) (2)