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| import os | |
| import re | |
| import random | |
| from scipy.io.wavfile import write | |
| import gradio as gr | |
| roformer_models = { | |
| 'BS-Roformer-Viperx-1297.ckpt': 'model_bs_roformer_ep_317_sdr_12.9755.ckpt', | |
| 'BS-Roformer-Viperx-1296.ckpt': 'model_bs_roformer_ep_368_sdr_12.9628.ckpt', | |
| 'BS-Roformer-Viperx-1053.ckpt': 'model_bs_roformer_ep_937_sdr_10.5309.ckpt', | |
| 'Mel-Roformer-Viperx-1143.ckpt': 'model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt' | |
| } | |
| mdx23c_models = [ | |
| 'MDX23C_D1581.ckpt', | |
| 'MDX23C-8KFFT-InstVoc_HQ.ckpt', | |
| 'MDX23C-8KFFT-InstVoc_HQ_2.ckpt', | |
| ] | |
| mdxnet_models = [ | |
| 'UVR-MDX-NET-Inst_full_292.onnx', | |
| 'UVR-MDX-NET_Inst_187_beta.onnx', | |
| 'UVR-MDX-NET_Inst_82_beta.onnx', | |
| 'UVR-MDX-NET_Inst_90_beta.onnx', | |
| 'UVR-MDX-NET_Main_340.onnx', | |
| 'UVR-MDX-NET_Main_390.onnx', | |
| 'UVR-MDX-NET_Main_406.onnx', | |
| 'UVR-MDX-NET_Main_427.onnx', | |
| 'UVR-MDX-NET_Main_438.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_1.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_2.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_3.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_4.onnx', | |
| 'UVR_MDXNET_Main.onnx', | |
| 'UVR-MDX-NET-Inst_Main.onnx', | |
| 'UVR_MDXNET_1_9703.onnx', | |
| 'UVR_MDXNET_2_9682.onnx', | |
| 'UVR_MDXNET_3_9662.onnx', | |
| 'UVR-MDX-NET-Inst_1.onnx', | |
| 'UVR-MDX-NET-Inst_2.onnx', | |
| 'UVR-MDX-NET-Inst_3.onnx', | |
| 'UVR_MDXNET_KARA.onnx', | |
| 'UVR_MDXNET_KARA_2.onnx', | |
| 'UVR_MDXNET_9482.onnx', | |
| 'UVR-MDX-NET-Voc_FT.onnx', | |
| 'Kim_Vocal_1.onnx', | |
| 'Kim_Vocal_2.onnx', | |
| 'Kim_Inst.onnx', | |
| 'Reverb_HQ_By_FoxJoy.onnx', | |
| 'UVR-MDX-NET_Crowd_HQ_1.onnx', | |
| 'kuielab_a_vocals.onnx', | |
| 'kuielab_a_other.onnx', | |
| 'kuielab_a_bass.onnx', | |
| 'kuielab_a_drums.onnx', | |
| 'kuielab_b_vocals.onnx', | |
| 'kuielab_b_other.onnx', | |
| 'kuielab_b_bass.onnx', | |
| 'kuielab_b_drums.onnx', | |
| ] | |
| vrarch_models = [ | |
| '1_HP-UVR.pth', | |
| '2_HP-UVR.pth', | |
| '3_HP-Vocal-UVR.pth', | |
| '4_HP-Vocal-UVR.pth', | |
| '5_HP-Karaoke-UVR.pth', | |
| '6_HP-Karaoke-UVR.pth', | |
| '7_HP2-UVR.pth', | |
| '8_HP2-UVR.pth', | |
| '9_HP2-UVR.pth', | |
| '10_SP-UVR-2B-32000-1.pth', | |
| '11_SP-UVR-2B-32000-2.pth', | |
| '12_SP-UVR-3B-44100.pth', | |
| '13_SP-UVR-4B-44100-1.pth', | |
| '14_SP-UVR-4B-44100-2.pth', | |
| '15_SP-UVR-MID-44100-1.pth', | |
| '16_SP-UVR-MID-44100-2.pth', | |
| '17_HP-Wind_Inst-UVR.pth', | |
| 'UVR-De-Echo-Aggressive.pth', | |
| 'UVR-De-Echo-Normal.pth', | |
| 'UVR-DeEcho-DeReverb.pth', | |
| 'UVR-DeNoise-Lite.pth', | |
| 'UVR-DeNoise.pth', | |
| 'UVR-BVE-4B_SN-44100-1.pth', | |
| 'MGM_HIGHEND_v4.pth', | |
| 'MGM_LOWEND_A_v4.pth', | |
| 'MGM_LOWEND_B_v4.pth', | |
| 'MGM_MAIN_v4.pth', | |
| ] | |
| demucs_models = [ | |
| 'htdemucs_ft.yaml', | |
| 'htdemucs.yaml', | |
| 'hdemucs_mmi.yaml', | |
| ] | |
| output_format = [ | |
| 'wav', | |
| 'flac', | |
| 'mp3', | |
| ] | |
| mdxnet_overlap_values = [ | |
| '0.25', | |
| '0.5', | |
| '0.75', | |
| '0.99', | |
| ] | |
| vrarch_window_size_values = [ | |
| '320', | |
| '512', | |
| '1024', | |
| ] | |
| demucs_overlap_values = [ | |
| '0.25', | |
| '0.50', | |
| '0.75', | |
| '0.99', | |
| ] | |
| def roformer_separator(roformer_audio, roformer_model, roformer_output_format, roformer_overlap): | |
| files_list = [] | |
| files_list.clear() | |
| directory = "./outputs" | |
| random_id = str(random.randint(10000, 99999)) | |
| pattern = f"{random_id}" | |
| os.makedirs("outputs", exist_ok=True) | |
| write(f'{random_id}.wav', roformer_audio[0], roformer_audio[1]) | |
| full_roformer_model = roformer_models[roformer_model] | |
| prompt = f"audio-separator {random_id}.wav --model_filename {full_roformer_model} --output_dir=./outputs --output_format={roformer_output_format} --normalization=0.9 --mdxc_overlap={roformer_overlap}" | |
| os.system(prompt) | |
| for file in os.listdir(directory): | |
| if re.search(pattern, file): | |
| files_list.append(os.path.join(directory, file)) | |
| stem1_file = files_list[0] | |
| stem2_file = files_list[1] | |
| return stem1_file, stem2_file | |
| def mdxc_separator(mdx23c_audio, mdx23c_model, mdx23c_output_format, mdx23c_segment_size, mdx23c_overlap): | |
| files_list = [] | |
| files_list.clear() | |
| directory = "./outputs" | |
| random_id = str(random.randint(10000, 99999)) | |
| pattern = f"{random_id}" | |
| os.makedirs("outputs", exist_ok=True) | |
| write(f'{random_id}.wav', mdx23c_audio[0], mdx23c_audio[1]) | |
| prompt = f"audio-separator {random_id}.wav --model_filename {mdx23c_model} --output_dir=./outputs --output_format={mdx23c_output_format} --normalization=0.9 --mdxc_segment_size={mdx23c_segment_size} --mdxc_overlap={mdx23c_overlap}" | |
| os.system(prompt) | |
| for file in os.listdir(directory): | |
| if re.search(pattern, file): | |
| files_list.append(os.path.join(directory, file)) | |
| stem1_file = files_list[0] | |
| stem2_file = files_list[1] | |
| return stem1_file, stem2_file | |
| def mdxnet_separator(mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_segment_size, mdxnet_overlap, mdxnet_denoise): | |
| files_list = [] | |
| files_list.clear() | |
| directory = "./outputs" | |
| random_id = str(random.randint(10000, 99999)) | |
| pattern = f"{random_id}" | |
| os.makedirs("outputs", exist_ok=True) | |
| write(f'{random_id}.wav', mdxnet_audio[0], mdxnet_audio[1]) | |
| prompt = f"audio-separator {random_id}.wav --model_filename {mdxnet_model} --output_dir=./outputs --output_format={mdxnet_output_format} --normalization=0.9 --mdx_segment_size={mdxnet_segment_size} --mdx_overlap={mdxnet_overlap}" | |
| if mdxnet_denoise: | |
| prompt += " --mdx_enable_denoise" | |
| os.system(prompt) | |
| for file in os.listdir(directory): | |
| if re.search(pattern, file): | |
| files_list.append(os.path.join(directory, file)) | |
| stem1_file = files_list[0] | |
| stem2_file = files_list[1] | |
| return stem1_file, stem2_file | |
| def vrarch_separator(vrarch_audio, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process): | |
| files_list = [] | |
| files_list.clear() | |
| directory = "./outputs" | |
| random_id = str(random.randint(10000, 99999)) | |
| pattern = f"{random_id}" | |
| os.makedirs("outputs", exist_ok=True) | |
| write(f'{random_id}.wav', vrarch_audio[0], vrarch_audio[1]) | |
| prompt = f"audio-separator {random_id}.wav --model_filename {vrarch_model} --output_dir=./outputs --output_format={vrarch_output_format} --normalization=0.9 --vr_window_size={vrarch_window_size} --vr_aggression={vrarch_agression}" | |
| if vrarch_tta: | |
| prompt += " --vr_enable_tta" | |
| if vrarch_high_end_process: | |
| prompt += " --vr_high_end_process" | |
| os.system(prompt) | |
| for file in os.listdir(directory): | |
| if re.search(pattern, file): | |
| files_list.append(os.path.join(directory, file)) | |
| stem1_file = files_list[0] | |
| stem2_file = files_list[1] | |
| return stem1_file, stem2_file | |
| def demucs_separator(demucs_audio, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap): | |
| files_list = [] | |
| files_list.clear() | |
| directory = "./outputs" | |
| random_id = str(random.randint(10000, 99999)) | |
| pattern = f"{random_id}" | |
| os.makedirs("outputs", exist_ok=True) | |
| write(f'{random_id}.wav', demucs_audio[0], demucs_audio[1]) | |
| prompt = f"audio-separator {random_id}.wav --model_filename {demucs_model} --output_dir=./outputs --output_format={demucs_output_format} --normalization=0.9 --demucs_shifts={demucs_shifts} --demucs_overlap={demucs_overlap}" | |
| os.system(prompt) | |
| for file in os.listdir(directory): | |
| if re.search(pattern, file): | |
| files_list.append(os.path.join(directory, file)) | |
| stem1_file = files_list[0] | |
| stem2_file = files_list[1] | |
| stem3_file = files_list[2] | |
| stem4_file = files_list[3] | |
| return stem1_file, stem2_file, stem3_file, stem4_file | |
| with gr.Blocks(theme="NoCrypt/miku@1.2.2", title="🎵 UVR5 UI 🎵") as app: | |
| gr.Markdown("<h1> 🎵 UVR5 UI 🎵 </h1>") | |
| with gr.Tabs(): | |
| with gr.TabItem("BS/Mel Roformer"): | |
| with gr.Row(): | |
| roformer_model = gr.Dropdown( | |
| label = "Select the Model", | |
| choices=list(roformer_models.keys()), | |
| interactive = True | |
| ) | |
| roformer_output_format = gr.Dropdown( | |
| label = "Select the Output Format", | |
| choices = output_format, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| roformer_overlap = gr.Slider( | |
| minimum = 2, | |
| maximum = 4, | |
| step = 1, | |
| label = "Overlap", | |
| info = "Amount of overlap between prediction windows.", | |
| value = 4, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| roformer_audio = gr.Audio( | |
| label = "Input Audio", | |
| type = "numpy", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| roformer_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| roformer_stem1 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "Stem 1", | |
| type = "filepath" | |
| ) | |
| roformer_stem2 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "Stem 2", | |
| type = "filepath" | |
| ) | |
| roformer_button.click(roformer_separator, [roformer_audio, roformer_model, roformer_output_format, roformer_overlap], [roformer_stem1, roformer_stem2]) | |
| with gr.TabItem("MDX23C"): | |
| with gr.Row(): | |
| mdx23c_model = gr.Dropdown( | |
| label = "Select the Model", | |
| choices = mdx23c_models, | |
| interactive = True | |
| ) | |
| mdx23c_output_format = gr.Dropdown( | |
| label = "Select the Output Format", | |
| choices = output_format, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdx23c_segment_size = gr.Slider( | |
| minimum = 32, | |
| maximum = 4000, | |
| step = 32, | |
| label = "Segment Size", | |
| info = "Larger consumes more resources, but may give better results.", | |
| value = 256, | |
| interactive = True | |
| ) | |
| mdx23c_overlap = gr.Slider( | |
| minimum = 2, | |
| maximum = 50, | |
| step = 1, | |
| label = "Overlap", | |
| info = "Amount of overlap between prediction windows.", | |
| value = 8, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdx23c_audio = gr.Audio( | |
| label = "Input Audio", | |
| type = "numpy", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdx23c_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| mdx23c_stem1 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "Stem 1", | |
| type = "filepath" | |
| ) | |
| mdx23c_stem2 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "Stem 2", | |
| type = "filepath" | |
| ) | |
| mdx23c_button.click(mdxc_separator, [mdx23c_audio, mdx23c_model, mdx23c_output_format, mdx23c_segment_size, mdx23c_overlap], [mdx23c_stem1, mdx23c_stem2]) | |
| with gr.TabItem("MDX-NET"): | |
| with gr.Row(): | |
| mdxnet_model = gr.Dropdown( | |
| label = "Select the Model", | |
| choices = mdxnet_models, | |
| interactive = True | |
| ) | |
| mdxnet_output_format = gr.Dropdown( | |
| label = "Select the Output Format", | |
| choices = output_format, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_segment_size = gr.Slider( | |
| minimum = 32, | |
| maximum = 4000, | |
| step = 32, | |
| label = "Segment Size", | |
| info = "Larger consumes more resources, but may give better results.", | |
| value = 256, | |
| interactive = True | |
| ) | |
| mdxnet_overlap = gr.Dropdown( | |
| label = "Overlap", | |
| choices = mdxnet_overlap_values, | |
| value = mdxnet_overlap_values[0], | |
| interactive = True | |
| ) | |
| mdxnet_denoise = gr.Checkbox( | |
| label = "Denoise", | |
| info = "Enable denoising during separation.", | |
| value = True, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_audio = gr.Audio( | |
| label = "Input Audio", | |
| type = "numpy", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| mdxnet_stem1 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "Stem 1", | |
| type = "filepath" | |
| ) | |
| mdxnet_stem2 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "Stem 2", | |
| type = "filepath" | |
| ) | |
| mdxnet_button.click(mdxnet_separator, [mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_segment_size, mdxnet_overlap, mdxnet_denoise], [mdxnet_stem1, mdxnet_stem2]) | |
| with gr.TabItem("VR ARCH"): | |
| with gr.Row(): | |
| vrarch_model = gr.Dropdown( | |
| label = "Select the Model", | |
| choices = vrarch_models, | |
| interactive = True | |
| ) | |
| vrarch_output_format = gr.Dropdown( | |
| label = "Select the Output Format", | |
| choices = output_format, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| vrarch_window_size = gr.Dropdown( | |
| label = "Window Size", | |
| choices = vrarch_window_size_values, | |
| value = vrarch_window_size_values[0], | |
| interactive = True | |
| ) | |
| vrarch_agression = gr.Slider( | |
| minimum = 1, | |
| maximum = 50, | |
| step = 1, | |
| label = "Agression", | |
| info = "Intensity of primary stem extraction.", | |
| value = 5, | |
| interactive = True | |
| ) | |
| vrarch_tta = gr.Checkbox( | |
| label = "TTA", | |
| info = "Enable Test-Time-Augmentation; slow but improves quality.", | |
| value = True, | |
| visible = True, | |
| interactive = True, | |
| ) | |
| vrarch_high_end_process = gr.Checkbox( | |
| label = "High End Process", | |
| info = "Mirror the missing frequency range of the output.", | |
| value = False, | |
| visible = True, | |
| interactive = True, | |
| ) | |
| with gr.Row(): | |
| vrarch_audio = gr.Audio( | |
| label = "Input Audio", | |
| type = "numpy", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| vrarch_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| vrarch_stem1 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| type = "filepath", | |
| label = "Stem 1" | |
| ) | |
| vrarch_stem2 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| type = "filepath", | |
| label = "Stem 2" | |
| ) | |
| vrarch_button.click(vrarch_separator, [vrarch_audio, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process], [vrarch_stem1, vrarch_stem2]) | |
| with gr.TabItem("Demucs"): | |
| with gr.Row(): | |
| demucs_model = gr.Dropdown( | |
| label = "Select the Model", | |
| choices = demucs_models, | |
| interactive = True | |
| ) | |
| demucs_output_format = gr.Dropdown( | |
| label = "Select the Output Format", | |
| choices = output_format, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| demucs_shifts = gr.Slider( | |
| minimum = 1, | |
| maximum = 20, | |
| step = 1, | |
| label = "Shifts", | |
| info = "Number of predictions with random shifts, higher = slower but better quality.", | |
| value = 2, | |
| interactive = True | |
| ) | |
| demucs_overlap = gr.Dropdown( | |
| label = "Overlap", | |
| choices = demucs_overlap_values, | |
| value = demucs_overlap_values[0], | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| demucs_audio = gr.Audio( | |
| label = "Input Audio", | |
| type = "numpy", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| demucs_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| demucs_stem1 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| type = "filepath", | |
| label = "Stem 1" | |
| ) | |
| demucs_stem2 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| type = "filepath", | |
| label = "Stem 2" | |
| ) | |
| with gr.Row(): | |
| demucs_stem3 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| type = "filepath", | |
| label = "Stem 3" | |
| ) | |
| demucs_stem4 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| type = "filepath", | |
| label = "Stem 4" | |
| ) | |
| demucs_button.click(demucs_separator, [demucs_audio, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap], [demucs_stem1, demucs_stem2, demucs_stem3, demucs_stem4]) | |
| app.queue() | |
| app.launch() |