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feat(minimax): support prompt embeddings (#15697)

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Silver
2026-08-18 06:25:38 +02:00
committed by GitHub
parent 8e869efc87
commit e5a38e3f7b
1 changed files with 10 additions and 5 deletions
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15
comfy/text_encoders/minimax.py
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@@ -127,10 +127,6 @@ class MiniMaxH3Tokenizer(comfy.sd1_clip.SD1Tokenizer):
tokenizer = lambda *a, **kw: Qwen3VLSDTokenizer(*a, **kw, embedding_size=5120, embedding_key="qwen3vl_32b")
super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, name="qwen3vl_32b", tokenizer=tokenizer)
def _text_ids(self, text):
tok = self.qwen3vl_32b.tokenizer
return tok(text, add_special_tokens=False)["input_ids"]
@staticmethod
def _vision_entry(data, video_block=False):
emb = {"type": "image", "data": data, "original_type": "image"}
@@ -143,7 +139,16 @@ class MiniMaxH3Tokenizer(comfy.sd1_clip.SD1Tokenizer):
entries = []
def add_text(s):
entries.extend((tid, 1.0) for tid in self._text_ids(s))
if not s:
return
token_batches = self.qwen3vl_32b.tokenize_with_weights(
s,
return_word_ids=False,
disable_weights=True,
)
if len(token_batches) != 1:
raise ValueError("MiniMax H3 text segment exceeds the supported prompt length.")
entries.extend(token_batches[0])
def add_vision(data, video_block=False):
entries.append((VISION_START, 1.0))