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on
Zero
Running
on
Zero
| from .wav2vec2 import Wav2Vec2Model | |
| import comfy.model_management | |
| import comfy.ops | |
| import comfy.utils | |
| import logging | |
| import torchaudio | |
| class AudioEncoderModel(): | |
| def __init__(self, config): | |
| self.load_device = comfy.model_management.text_encoder_device() | |
| offload_device = comfy.model_management.text_encoder_offload_device() | |
| self.dtype = comfy.model_management.text_encoder_dtype(self.load_device) | |
| self.model = Wav2Vec2Model(dtype=self.dtype, device=offload_device, operations=comfy.ops.manual_cast) | |
| self.model.eval() | |
| self.patcher = comfy.model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device) | |
| self.model_sample_rate = 16000 | |
| def load_sd(self, sd): | |
| return self.model.load_state_dict(sd, strict=False) | |
| def get_sd(self): | |
| return self.model.state_dict() | |
| def encode_audio(self, audio, sample_rate): | |
| comfy.model_management.load_model_gpu(self.patcher) | |
| audio = torchaudio.functional.resample(audio, sample_rate, self.model_sample_rate) | |
| out, all_layers = self.model(audio.to(self.load_device)) | |
| outputs = {} | |
| outputs["encoded_audio"] = out | |
| outputs["encoded_audio_all_layers"] = all_layers | |
| return outputs | |
| def load_audio_encoder_from_sd(sd, prefix=""): | |
| audio_encoder = AudioEncoderModel(None) | |
| sd = comfy.utils.state_dict_prefix_replace(sd, {"wav2vec2.": ""}) | |
| m, u = audio_encoder.load_sd(sd) | |
| if len(m) > 0: | |
| logging.warning("missing audio encoder: {}".format(m)) | |
| return audio_encoder | |