Mirrored_Repos/InvokeAI
1
0
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'main' into v2.3

Browse Source
This commit is contained in:
Lincoln Stein 2023-02-24 10:52:03 -05:00 committed by GitHub
commit b4ed8bc47a
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
ldm/invoke/conditioning.py
View File

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