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Merge ddd0cd7521 into 593be209a4

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Mark Ledford 2026-03-16 12:02:05 +09:00 committed by GitHub
commit fba8ae9009
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comfy/text_encoders/ace15.py
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@ -298,11 +298,11 @@ class ACE15TEModel(torch.nn.Module):
self.qwen3_06b.set_clip_options({"layer": [0]})
lyrics_embeds, _, extra_l = self.qwen3_06b.encode_token_weights(token_weight_pairs_lyrics)
out = {"conditioning_lyrics": lyrics_embeds[:, 0]}
out = {"conditioning_lyrics": lyrics_embeds}
lm_metadata = token_weight_pairs["lm_metadata"]
if lm_metadata["generate_audio_codes"]:
audio_codes = generate_audio_codes(getattr(self, self.lm_model, self.qwen3_06b), token_weight_pairs["lm_prompt"], token_weight_pairs["lm_prompt_negative"], min_tokens=lm_metadata["min_tokens"], max_tokens=lm_metadata["min_tokens"], seed=lm_metadata["seed"], cfg_scale=lm_metadata["cfg_scale"], temperature=lm_metadata["temperature"], top_p=lm_metadata["top_p"], top_k=lm_metadata["top_k"], min_p=lm_metadata["min_p"])
audio_codes = generate_audio_codes(getattr(self, self.lm_model, self.qwen3_06b), token_weight_pairs["lm_prompt"], token_weight_pairs["lm_prompt_negative"], min_tokens=lm_metadata["min_tokens"], max_tokens=lm_metadata["max_tokens"], seed=lm_metadata["seed"], cfg_scale=lm_metadata["cfg_scale"], temperature=lm_metadata["temperature"], top_p=lm_metadata["top_p"], top_k=lm_metadata["top_k"], min_p=lm_metadata["min_p"])
out["audio_codes"] = [audio_codes]
return base_out, None, out