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https://github.com/invoke-ai/InvokeAI
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Merge branch 'main' into v2.3
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commit
b4ed8bc47a
@ -88,7 +88,7 @@ def get_prompt_structure(prompt_string, skip_normalize_legacy_blend: bool = Fals
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return positive_prompt, negative_prompt
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def get_max_token_count(tokenizer, prompt: FlattenedPrompt|Blend, truncate_if_too_long=True) -> int:
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def get_max_token_count(tokenizer, prompt: Union[FlattenedPrompt, Blend], truncate_if_too_long=True) -> int:
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if type(prompt) is Blend:
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blend: Blend = prompt
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return max([get_max_token_count(tokenizer, c, truncate_if_too_long) for c in blend.prompts])
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@ -129,8 +129,8 @@ def split_prompt_to_positive_and_negative(prompt_string_uncleaned):
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return prompt_string_cleaned, unconditioned_words
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def log_tokenization(positive_prompt: Blend | FlattenedPrompt,
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negative_prompt: Blend | FlattenedPrompt,
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def log_tokenization(positive_prompt: Union[Blend, FlattenedPrompt],
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negative_prompt: Union[Blend, FlattenedPrompt],
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tokenizer):
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print(f"\n>> [TOKENLOG] Parsed Prompt: {positive_prompt}")
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print(f"\n>> [TOKENLOG] Parsed Negative Prompt: {negative_prompt}")
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@ -139,7 +139,7 @@ def log_tokenization(positive_prompt: Blend | FlattenedPrompt,
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log_tokenization_for_prompt_object(negative_prompt, tokenizer, display_label_prefix="(negative prompt)")
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def log_tokenization_for_prompt_object(p: Blend | FlattenedPrompt, tokenizer, display_label_prefix=None):
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def log_tokenization_for_prompt_object(p: Union[Blend, FlattenedPrompt], tokenizer, display_label_prefix=None):
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display_label_prefix = display_label_prefix or ""
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if type(p) is Blend:
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blend: Blend = p
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