Update nodes.py
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@@ -624,10 +624,10 @@ class DeepFuzeAdavance:
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"audio": ("AUDIO",),
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"enhancer": ("None,codeformer,gfpgan_1.2,gfpgan_1.3,gfpgan_1.4,gpen_bfr_256,gpen_bfr_512,gpen_bfr_1024,gpen_bfr_2048,restoreformer_plus_plus".split(","),{"default":'None'}),
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"frame_enhancer": ("None,clear_reality_x4,lsdir_x4,nomos8k_sc_x4,real_esrgan_x2,real_esrgan_x2_fp16,real_esrgan_x4,real_esrgan_x4_fp16,real_hatgan_x4,span_kendata_x4,ultra_sharp_x4".split(","),{"default":'None'}),
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"face_mask_padding_left": ("FLOAT",{"default":0,"min":0,"max":3,"step":0.1}),
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"face_mask_padding_right": ("FLOAT",{"default":0,"min":0,"max":3,"step":0.1}),
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"face_mask_padding_bottom": ("FLOAT",{"default":0,"min":0,"max":3,"step":0.1}),
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"face_mask_padding_top": ("FLOAT",{"default":0,"min":0,"max":3,"step":0.1}),
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"face_mask_padding_left": ("INT",{"default":0,"min":0,"max":30,"step":1}),
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"face_mask_padding_right": ("INT",{"default":0,"min":0,"max":30,"step":1}),
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"face_mask_padding_bottom": ("INT",{"default":0,"min":0,"max":30,"step":1}),
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"face_mask_padding_top": ("INT",{"default":0,"min":0,"max":30,"step":1}),
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"trim_frame_start": ("INT",{"default":0,"max":2000},),
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"trim_frame_end": ("INT",{"default":0,"max":2000},),
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"device" : (["cpu","gpu"],{"default":"cpu"}),
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@@ -943,10 +943,10 @@ class DeepFuzeAdavance:
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'--trim-frame-end',
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str(trim_frame_end),
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'--face-mask-padding',
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f'{str(face_mask_padding_top)}',
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f'{str(face_mask_padding_bottom)}',
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f'{str(face_mask_padding_left)}',
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f'{str(face_mask_padding_right)}',
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str(face_mask_padding_top),
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str(face_mask_padding_bottom),
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str(face_mask_padding_left),
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str(face_mask_padding_right),
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'--headless'
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]
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if device=="gpu":
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@@ -998,17 +998,10 @@ import folder_paths
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import torch
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import time
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import os
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from TTS.api import TTS
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from pydub import AudioSegment
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from scipy.io.wavfile import write
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if torch.backends.mps.is_available():
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device = "mps"
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elif torch.cuda.is_available():
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device = "cuda"
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else:
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device = "cpu"
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@@ -1046,9 +1039,6 @@ checkpoint_path_voice = os.path.join(folder_paths.models_dir,"deepfuze")
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print(checkpoint_path_voice)
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audio_path = os.path.join(folder_paths.get_input_directory(),"audio")
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tts = TTS()
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tts.load_tts_model_by_path(model_path=checkpoint_path_voice,config_path=os.path.join(checkpoint_path_voice,"config.json"))
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os.makedirs(audio_path,exist_ok=True)
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class TTS_generation:
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@@ -1073,20 +1063,25 @@ class TTS_generation:
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CATEGORY = "DeepFuze" # Category for the node in the UI
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def generate_audio(self, audio, text,device,supported_language):
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print(text)
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print(text)
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language = supported_language.split("(")[1][:-1]
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try:
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...
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# tts.to(device)
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except Exception as e:print(e)
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file_path = os.path.join(audio_path,str(time.time()).replace(".","")+".wav")
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write(file_path,audio.sample_rate,audio.audio_data)
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tts.tts_to_file(text=text, speaker_wav=file_path, language=language, file_path=file_path)
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command = [
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'python', 'tts_generation.py',
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'--model', checkpoint_path_voice,
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'--text', text,
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'--language', language,
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'--speaker_wav', file_path,
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'--output_file', file_path,
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'--device', device
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]
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result = subprocess.run(command, cwd="custom_nodes/ComfyUI-DeepFuze",capture_output=True, text=True)
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print("stdout:", result.stdout)
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print("stderr:", result.stderr)
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audio_file = AudioSegment.from_file(file_path, format="wav")
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audio_data = AudioData(audio_file)
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try:
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tts.to("cpu")
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except: pass
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return (audio_data,)
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