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28 lines
982 B
Python
28 lines
982 B
Python
"""
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State dict converter for ACE-Step Tokenizer model.
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The original checkpoint stores tokenizer and detokenizer weights at the top level:
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- tokenizer.* (AceStepAudioTokenizer: audio_acoustic_proj, attention_pooler, quantizer)
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- detokenizer.* (AudioTokenDetokenizer: embed_tokens, layers, proj_out)
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These map directly to the AceStepTokenizer class which wraps both as
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self.tokenizer and self.detokenizer submodules.
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"""
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def ace_step_tokenizer_converter(state_dict):
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"""
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Convert ACE-Step Tokenizer checkpoint keys to DiffSynth format.
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The checkpoint keys `tokenizer.*` and `detokenizer.*` already match
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the DiffSynth AceStepTokenizer module structure (self.tokenizer, self.detokenizer).
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No key remapping needed — just extract the relevant keys.
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"""
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new_state_dict = {}
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for key in state_dict:
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if key.startswith("tokenizer.") or key.startswith("detokenizer."):
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new_state_dict[key] = state_dict[key]
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return new_state_dict
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