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fix newlines causing negative prompt to be parsed incorrectly

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This commit is contained in:
Damian Stewart 2023-02-28 22:37:28 +01:00
parent b7d5a3e0b5
commit 418d93fdfd
1 changed files with 3 additions and 1 deletions
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4
ldm/invoke/conditioning.py
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@ -52,6 +52,8 @@ def get_uc_and_c_and_ec(prompt_string, model, log_tokens=False, skip_normalize_l
textual_inversion_manager=model.textual_inversion_manager,
dtype_for_device_getter=torch_dtype)
# get rid of any newline characters
prompt_string = prompt_string.replace("\n", " ")
positive_prompt_string, negative_prompt_string = split_prompt_to_positive_and_negative(prompt_string)
legacy_blend = try_parse_legacy_blend(positive_prompt_string, skip_normalize_legacy_blend)
positive_prompt: FlattenedPrompt|Blend
@ -113,7 +115,7 @@ def get_tokens_for_prompt_object(tokenizer, parsed_prompt: FlattenedPrompt, trun
return tokens
def split_prompt_to_positive_and_negative(prompt_string_uncleaned):
def split_prompt_to_positive_and_negative(prompt_string_uncleaned: str):
unconditioned_words = ''
unconditional_regex = r'\[(.*?)\]'
unconditionals = re.findall(unconditional_regex, prompt_string_uncleaned)