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sd-Img2img-batch-interrogator
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Merge pull request #7 from SmirkingKitsune/patch-1 

Multiple Interrogations Update sd_tag_batch.py
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Santiago Alvarez 2024-05-14 00:53:56 -03:00 committed by GitHub
parent 240792b6ad cd590fb990
commit c93b278001
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1 changed files with 19 additions and 8 deletions
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27
scripts/sd_tag_batch.py
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@ -27,11 +27,15 @@ class Script(scripts.Script):
0.0, 1.0, value=0.5, step=0.1, label="interrogator weight"
)
use_weight = gr.Checkbox(label="Use Weighted Prompt", value=True)
use_deepbooru = gr.Checkbox(label="Use deepbooru", value=True)
model_options = ["CLIP", "Deepbooru"]
model_selection = gr.Dropdown(choices=model_options, label="Select Interrogation Model(s)", multiselect=True, value="Deepbooru")
with gr.Accordion("Deepbooru tools:"):
no_duplicates = gr.Checkbox(label="Filter Duplicate Prompt Content from Interrogation", value=False)
use_negatives = gr.Checkbox(label="Filter Negative Prompt Content from Interrogation", value=False)
return [in_front, prompt_weight, use_deepbooru, use_weight, no_duplicates, use_negatives]
return [in_front, prompt_weight, model_selection, use_weight, no_duplicates, use_negatives]
# Required to parse information from a string that is between () or has :##.## suffix
def remove_attention(self, words):
@ -72,19 +76,26 @@ class Script(scripts.Script):
return filtered_prompt
def run(self, p, in_front, prompt_weight, use_deepbooru, use_weight, no_duplicates, use_negatives):
def run(self, p, in_front, prompt_weight, model_selection, use_weight, no_duplicates, use_negatives):
raw_prompt = p.prompt
interrogator = ""
# fix alpha channel
p.init_images[0] = p.init_images[0].convert("RGB")
if use_deepbooru:
interrogator = deepbooru.model.tag(p.init_images[0])
else:
interrogator = shared.interrogator.interrogate(p.init_images[0])
first = True # Two interrogator concatination correction boolean
for model in model_selection:
# This prevents two interrogators from being incorrectly concatinated
if first == False:
interrogator += ", "
first = False
# Should add the interrogators in the order determined by the model_selection list
if model == "Deepbooru":
interrogator += deepbooru.model.tag(p.init_images[0])
elif model == "CLIP":
interrogator += shared.interrogator.interrogate(p.init_images[0])
# Remove duplicate prompt content from interrogator prompt
if no_duplicates:
interrogator = self.filter_words(interrogator, raw_prompt)