Add encoder part of whisper large v3 as an audio encoder model. (#9894)

Not useful yet but some models use it.
This commit is contained in:
comfyanonymous
2025-09-15 22:19:50 -07:00
committed by GitHub
parent 1a85483da1
commit a39ac59c3e
2 changed files with 224 additions and 20 deletions

View File

@@ -1,4 +1,5 @@
from .wav2vec2 import Wav2Vec2Model
from .whisper import WhisperLargeV3
import comfy.model_management
import comfy.ops
import comfy.utils
@@ -11,13 +12,18 @@ class AudioEncoderModel():
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)
model_type = config.pop("model_type")
model_config = dict(config)
model_config.update({
"dtype": self.dtype,
"device": offload_device,
"operations": comfy.ops.manual_cast
})
self.model = Wav2Vec2Model(**model_config)
if model_type == "wav2vec2":
self.model = Wav2Vec2Model(**model_config)
elif model_type == "whisper3":
self.model = WhisperLargeV3(**model_config)
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
@@ -40,33 +46,45 @@ class AudioEncoderModel():
def load_audio_encoder_from_sd(sd, prefix=""):
sd = comfy.utils.state_dict_prefix_replace(sd, {"wav2vec2.": ""})
embed_dim = sd["encoder.layer_norm.bias"].shape[0]
if embed_dim == 1024:# large
config = {
"embed_dim": 1024,
"num_heads": 16,
"num_layers": 24,
"conv_norm": True,
"conv_bias": True,
"do_normalize": True,
"do_stable_layer_norm": True
if "encoder.layer_norm.bias" in sd: #wav2vec2
embed_dim = sd["encoder.layer_norm.bias"].shape[0]
if embed_dim == 1024:# large
config = {
"model_type": "wav2vec2",
"embed_dim": 1024,
"num_heads": 16,
"num_layers": 24,
"conv_norm": True,
"conv_bias": True,
"do_normalize": True,
"do_stable_layer_norm": True
}
elif embed_dim == 768: # base
config = {
"model_type": "wav2vec2",
"embed_dim": 768,
"num_heads": 12,
"num_layers": 12,
"conv_norm": False,
"conv_bias": False,
"do_normalize": False, # chinese-wav2vec2-base has this False
"do_stable_layer_norm": False
}
elif embed_dim == 768: # base
else:
raise RuntimeError("ERROR: audio encoder file is invalid or unsupported embed_dim: {}".format(embed_dim))
elif "model.encoder.embed_positions.weight" in sd:
sd = comfy.utils.state_dict_prefix_replace(sd, {"model.": ""})
config = {
"embed_dim": 768,
"num_heads": 12,
"num_layers": 12,
"conv_norm": False,
"conv_bias": False,
"do_normalize": False, # chinese-wav2vec2-base has this False
"do_stable_layer_norm": False
"model_type": "whisper3",
}
else:
raise RuntimeError("ERROR: audio encoder file is invalid or unsupported embed_dim: {}".format(embed_dim))
raise RuntimeError("ERROR: audio encoder not supported.")
audio_encoder = AudioEncoderModel(config)
m, u = audio_encoder.load_sd(sd)
if len(m) > 0:
logging.warning("missing audio encoder: {}".format(m))
if len(u) > 0:
logging.warning("unexpected audio encoder: {}".format(u))
return audio_encoder