emph

backend/text_processing/anima_engine.py

@@ -21,7 +21,7 @@ class PromptChunk:
 
 class AnimaTextProcessingEngine:
     def __init__(self, text_encoder, qwen_tokenizer, t5_tokenizer):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder: "Qwen3_06B" = text_encoder
         self.qwen_tokenizer = qwen_tokenizer

backend/text_processing/classic_engine.py

@@ -51,7 +51,7 @@ class CLIPEmbeddingForTextualInversion(torch.nn.Module):
 
 class ClassicTextProcessingEngine:
     def __init__(self, text_encoder, tokenizer, chunk_length=75, embedding_dir=None, embedding_key="clip_l", embedding_expected_shape=768, text_projection=False, minimal_clip_skip=1, clip_skip=1, return_pooled=False, final_layer_norm=True):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.embeddings = EmbeddingDatabase(tokenizer, embedding_expected_shape)
 

backend/text_processing/gemma_engine.py

@@ -22,7 +22,7 @@ class PromptChunk:
 
 class GemmaTextProcessingEngine:
     def __init__(self, text_encoder, tokenizer):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder = text_encoder
         self.tokenizer = tokenizer

backend/text_processing/klein_engine.py

@@ -22,7 +22,7 @@ class PromptChunk:
 
 class KleinTextProcessingEngine:
     def __init__(self, text_encoder, tokenizer):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder = text_encoder
         self.tokenizer = tokenizer

backend/text_processing/ministral3_engine.py

@@ -16,7 +16,7 @@ class PromptChunk:
 
 class Ministral3TextProcessingEngine:
     def __init__(self, text_encoder, tokenizer):
-        super().__init__()
+        self.emphasis = emphasis.EmphasisNone()
 
         self.text_encoder = text_encoder
         self.tokenizer = tokenizer

backend/text_processing/parsing.py

@@ -22,7 +22,7 @@ re_attention = re.compile(
 re_break = re.compile(r"\s*\bBREAK\b\s*", re.S)
 
 
-def parse_prompt_attention(text, emphasis):
+def parse_prompt_attention(text: str, emphasis: str):
     res = []
     round_brackets = []
     square_brackets = []

backend/text_processing/qwen3_engine.py

@@ -22,7 +22,7 @@ class PromptChunk:
 
 class Qwen3TextProcessingEngine:
     def __init__(self, text_encoder, tokenizer):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder = text_encoder
         self.tokenizer = tokenizer

backend/text_processing/qwen_engine.py

@@ -17,7 +17,7 @@ class PromptChunk:
 
 class QwenTextProcessingEngine:
     def __init__(self, text_encoder, tokenizer):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder = text_encoder
         self.tokenizer = tokenizer

backend/text_processing/t5_engine.py

@@ -14,7 +14,7 @@ class PromptChunk:
 
 class T5TextProcessingEngine:
     def __init__(self, text_encoder, tokenizer, min_length: int = 256, min_padding: int = -1):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder = text_encoder.transformer
         self.tokenizer = tokenizer

backend/text_processing/umt5_engine.py

@@ -17,7 +17,7 @@ class PromptChunk:
 
 class UMT5TextProcessingEngine:
     def __init__(self, text_encoder, tokenizer, min_length=512):
-        super().__init__()
+        self.emphasis = emphasis.get_current_option(opts.emphasis)()
 
         self.text_encoder = text_encoder.transformer
         self.tokenizer = tokenizer