mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-04-28 10:21:27 +00:00
V3: primitive nodes; additional ruff rules for V3 nodes
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@@ -65,14 +65,14 @@ class EmptyLatentAudio_V3(io.ComfyNodeV3):
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def execute(cls, seconds, batch_size) -> io.NodeOutput:
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length = round((seconds * 44100 / 2048) / 2) * 2
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latent = torch.zeros([batch_size, 64, length], device=comfy.model_management.intermediate_device())
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return io.NodeOutput({"samples":latent, "type": "audio"})
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return io.NodeOutput({"samples": latent, "type": "audio"})
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class LoadAudio_V3(io.ComfyNodeV3):
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@classmethod
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def DEFINE_SCHEMA(cls):
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return io.SchemaV3(
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node_id="LoadAudio_V3", # frontend expects "LoadAudio" to work
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node_id="LoadAudio_V3", # frontend expects "LoadAudio" to work
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display_name="Load Audio _V3", # frontend ignores "display_name" for this node
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category="audio",
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inputs=[
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@@ -110,7 +110,7 @@ class PreviewAudio_V3(io.ComfyNodeV3):
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@classmethod
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def DEFINE_SCHEMA(cls):
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return io.SchemaV3(
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node_id="PreviewAudio_V3", # frontend expects "PreviewAudio" to work
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node_id="PreviewAudio_V3", # frontend expects "PreviewAudio" to work
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display_name="Preview Audio _V3", # frontend ignores "display_name" for this node
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category="audio",
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inputs=[
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@@ -129,7 +129,7 @@ class SaveAudioMP3_V3(io.ComfyNodeV3):
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@classmethod
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def DEFINE_SCHEMA(cls):
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return io.SchemaV3(
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node_id="SaveAudioMP3_V3", # frontend expects "SaveAudioMP3" to work
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node_id="SaveAudioMP3_V3", # frontend expects "SaveAudioMP3" to work
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display_name="Save Audio(MP3) _V3", # frontend ignores "display_name" for this node
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category="audio",
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inputs=[
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@@ -150,7 +150,7 @@ class SaveAudioOpus_V3(io.ComfyNodeV3):
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@classmethod
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def DEFINE_SCHEMA(cls):
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return io.SchemaV3(
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node_id="SaveAudioOpus_V3", # frontend expects "SaveAudioOpus" to work
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node_id="SaveAudioOpus_V3", # frontend expects "SaveAudioOpus" to work
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display_name="Save Audio(Opus) _V3", # frontend ignores "display_name" for this node
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category="audio",
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inputs=[
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@@ -171,7 +171,7 @@ class SaveAudio_V3(io.ComfyNodeV3):
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@classmethod
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def DEFINE_SCHEMA(cls):
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return io.SchemaV3(
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node_id="SaveAudio_V3", # frontend expects "SaveAudio" to work
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node_id="SaveAudio_V3", # frontend expects "SaveAudio" to work
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display_name="Save Audio _V3", # frontend ignores "display_name" for this node
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category="audio",
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inputs=[
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@@ -203,7 +203,7 @@ class VAEDecodeAudio_V3(io.ComfyNodeV3):
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@classmethod
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def execute(cls, vae, samples) -> io.NodeOutput:
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audio = vae.decode(samples["samples"]).movedim(-1, 1)
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std = torch.std(audio, dim=[1,2], keepdim=True) * 5.0
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std = torch.std(audio, dim=[1, 2], keepdim=True) * 5.0
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std[std < 1.0] = 1.0
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audio /= std
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return io.NodeOutput({"waveform": audio, "sample_rate": 44100})
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@@ -250,7 +250,7 @@ def _save_audio(cls, audio, filename_prefix="ComfyUI", format="flac", quality="1
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OPUS_RATES = [8000, 12000, 16000, 24000, 48000]
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results = []
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for (batch_number, waveform) in enumerate(audio["waveform"].cpu()):
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for batch_number, waveform in enumerate(audio["waveform"].cpu()):
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filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
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file = f"{filename_with_batch_num}_{counter:05}_.{format}"
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output_path = os.path.join(full_output_folder, file)
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@@ -277,7 +277,7 @@ def _save_audio(cls, audio, filename_prefix="ComfyUI", format="flac", quality="1
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# Create output with specified format
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output_buffer = BytesIO()
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output_container = av.open(output_buffer, mode='w', format=format)
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output_container = av.open(output_buffer, mode="w", format=format)
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# Set metadata on the container
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for key, value in metadata.items():
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@@ -299,19 +299,19 @@ def _save_audio(cls, audio, filename_prefix="ComfyUI", format="flac", quality="1
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elif format == "mp3":
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out_stream = output_container.add_stream("libmp3lame", rate=sample_rate)
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if quality == "V0":
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#TODO i would really love to support V3 and V5 but there doesn't seem to be a way to set the qscale level, the property below is a bool
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# TODO i would really love to support V3 and V5 but there doesn't seem to be a way to set the qscale level, the property below is a bool
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out_stream.codec_context.qscale = 1
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elif quality == "128k":
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out_stream.bit_rate = 128000
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elif quality == "320k":
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out_stream.bit_rate = 320000
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else: # format == "flac":
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else: # format == "flac":
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out_stream = output_container.add_stream("flac", rate=sample_rate)
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frame = av.AudioFrame.from_ndarray(
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waveform.movedim(0, 1).reshape(1, -1).float().numpy(),
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format='flt',
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layout='mono' if waveform.shape[0] == 1 else 'stereo',
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format="flt",
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layout="mono" if waveform.shape[0] == 1 else "stereo",
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)
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frame.sample_rate = sample_rate
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frame.pts = 0
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@@ -325,7 +325,7 @@ def _save_audio(cls, audio, filename_prefix="ComfyUI", format="flac", quality="1
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# Write the output to file
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output_buffer.seek(0)
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with open(output_path, 'wb') as f:
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with open(output_path, "wb") as f:
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f.write(output_buffer.getbuffer())
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results.append(ui.SavedResult(file, subfolder, io.FolderType.output))
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