| import folder_paths |
| import comfy.audio_encoders.audio_encoders |
| import comfy.utils |
|
|
|
|
| class AudioEncoderLoader: |
| @classmethod |
| def INPUT_TYPES(s): |
| return {"required": { "audio_encoder_name": (folder_paths.get_filename_list("audio_encoders"), ), |
| }} |
| RETURN_TYPES = ("AUDIO_ENCODER",) |
| FUNCTION = "load_model" |
|
|
| CATEGORY = "loaders" |
|
|
| def load_model(self, audio_encoder_name): |
| audio_encoder_name = folder_paths.get_full_path_or_raise("audio_encoders", audio_encoder_name) |
| sd = comfy.utils.load_torch_file(audio_encoder_name, safe_load=True) |
| audio_encoder = comfy.audio_encoders.audio_encoders.load_audio_encoder_from_sd(sd) |
| if audio_encoder is None: |
| raise RuntimeError("ERROR: audio encoder file is invalid and does not contain a valid model.") |
| return (audio_encoder,) |
|
|
|
|
| class AudioEncoderEncode: |
| @classmethod |
| def INPUT_TYPES(s): |
| return {"required": { "audio_encoder": ("AUDIO_ENCODER",), |
| "audio": ("AUDIO",), |
| }} |
| RETURN_TYPES = ("AUDIO_ENCODER_OUTPUT",) |
| FUNCTION = "encode" |
|
|
| CATEGORY = "conditioning" |
|
|
| def encode(self, audio_encoder, audio): |
| output = audio_encoder.encode_audio(audio["waveform"], audio["sample_rate"]) |
| return (output,) |
|
|
|
|
| NODE_CLASS_MAPPINGS = { |
| "AudioEncoderLoader": AudioEncoderLoader, |
| "AudioEncoderEncode": AudioEncoderEncode, |
| } |
|
|