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Add a T5TokenizerOptions node to set options for the T5 tokenizer. (#7803)

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comfyanonymous
2025-04-25 16:36:00 -07:00
committed by GitHub
parent 78992c4b25
commit 23e39f2ba7
9 changed files with 60 additions and 22 deletions
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8
comfy/text_encoders/hidream.py
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@@ -16,11 +16,11 @@ class HiDreamTokenizer:
def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs):
out = {}
out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids)
out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids)
t5xxl = self.t5xxl.tokenize_with_weights(text, return_word_ids)
out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids, **kwargs)
out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids, **kwargs)
t5xxl = self.t5xxl.tokenize_with_weights(text, return_word_ids, **kwargs)
out["t5xxl"] = [t5xxl[0]] # Use only first 128 tokens
out["llama"] = self.llama.tokenize_with_weights(text, return_word_ids)
out["llama"] = self.llama.tokenize_with_weights(text, return_word_ids, **kwargs)
return out
def untokenize(self, token_weight_pair):