parent
1f8d537350
commit
16740ad1eb
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@ -1,9 +1,5 @@
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import gradio as gr
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import re
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import os
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import requests
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from io import BytesIO
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import base64
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from modules import scripts, deepbooru, script_callbacks, shared
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from modules.processing import process_images
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import sys
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@ -122,9 +118,12 @@ class Script(scripts.Script):
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return []
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def unload_wd_models(self):
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unloaded_models = 0
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if self.wd_ext_utils is not None:
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for interrogator in self.wd_ext_utils.interrogators.values():
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interrogator.unload()
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if interrogator.unload():
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unloaded_models = unloaded_models + 1
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print(f"Unloaded {unloaded_models} of WD Extension's Model(s).")
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def unload_clip_models(self):
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if self.clip_ext is not None:
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@ -176,7 +175,7 @@ class Script(scripts.Script):
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# WD EXT Options
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wd_ext_accordion = gr.Accordion("WD EXT Options:", open=False, visible=False)
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with wd_ext_accordion:
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wd_ext_model = gr.Dropdown(choices=[], value='wd-swinv2-tagger.v3', label="WD EXT Model", multiselect=True)
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wd_ext_model = gr.Dropdown(choices=[], value='wd-v1-4-moat-tagger.v2', label="WD EXT Model", multiselect=True)
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wd_threshold = gr.Slider(0.0, 1.0, value=0.35, step=0.01, label="Threshold")
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wd_underscore_fix = gr.Checkbox(label="Remove Underscores from Tags", value=True)
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unload_wd_models_afterwords = gr.Checkbox(label="Unload WD Model After Use", value=True)
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@ -247,7 +246,7 @@ class Script(scripts.Script):
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def run(self, p, in_front, prompt_weight, model_selection, use_weight, no_duplicates, use_negatives, use_custom_filter, custom_filter, clip_ext_model, clip_ext_mode, wd_ext_model, wd_threshold, wd_underscore_fix, unload_clip_models_afterwords, unload_wd_models_afterwords):
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raw_prompt = p.prompt
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interrogator = ""
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interrogation = ""
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# fix alpha channel
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p.init_images[0] = p.init_images[0].convert("RGB")
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@ -255,57 +254,57 @@ class Script(scripts.Script):
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for model in model_selection:
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# Should add the interrogators in the order determined by the model_selection list
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if model == "Deepbooru (Native)":
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interrogator += deepbooru.model.tag(p.init_images[0]) + ", "
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interrogation += deepbooru.model.tag(p.init_images[0]) + ", "
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elif model == "CLIP (Native)":
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interrogator += shared.interrogator.interrogate(p.init_images[0]) + ", "
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interrogation += shared.interrogator.interrogate(p.init_images[0]) + ", "
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elif model == "CLIP (EXT)":
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if self.clip_ext is not None:
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for clip_model in clip_ext_model:
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interrogator += self.clip_ext.image_to_prompt(p.init_images[0], clip_ext_mode, clip_model) + ", "
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interrogation += self.clip_ext.image_to_prompt(p.init_images[0], clip_ext_mode, clip_model) + ", "
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if unload_clip_models_afterwords:
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self.clip_ext.unload()
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elif model == "WD (EXT)":
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if self.wd_ext_utils is not None:
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for wd_model in wd_ext_model:
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interrogator = self.wd_ext_utils.interrogators[wd_model]
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rating, tags = interrogator.interrogate(p.init_images[0])
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rating, tags = self.wd_ext_utils.interrogators[wd_model].interrogate(p.init_images[0])
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tags_list = [tag for tag, conf in tags.items() if conf > wd_threshold]
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if wd_underscore_fix:
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tags_spaced = [tag.replace('_', ' ') for tag in tags_list]
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interrogator += ", ".join(tags_spaced) + ", "
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interrogation += ", ".join(tags_spaced)
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else:
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interrogator += ", ".join(tags_list) + ", "
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interrogation += ", ".join(tags_list)
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interrogation += ", "
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if unload_wd_models_afterwords:
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self.wd_ext_utils.interrogators[wd_ext_model].unload()
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self.wd_ext_utils.interrogators[wd_model].unload()
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# Remove duplicate prompt content from interrogator prompt
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if no_duplicates:
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interrogator = self.filter_words(interrogator, raw_prompt)
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interrogation = self.filter_words(interrogation, raw_prompt)
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# Remove negative prompt content from interrogator prompt
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if use_negatives:
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interrogator = self.filter_words(interrogator, p.negative_prompt)
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interrogation = self.filter_words(interrogation, p.negative_prompt)
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# Remove custom prompt content from interrogator prompt
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if use_custom_filter:
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interrogator = self.filter_words(interrogator, custom_filter)
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interrogation = self.filter_words(interrogation, custom_filter)
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# Save custom filter to text file
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with open("extensions/sd-Img2img-batch-interrogator/custom_filter.txt", "w") as file:
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file.write(custom_filter)
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if use_weight:
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if p.prompt == "":
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p.prompt = interrogator
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p.prompt = interrogation
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elif in_front == "Append to prompt":
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p.prompt = f"{p.prompt}, ({interrogator}:{prompt_weight})"
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p.prompt = f"{p.prompt}, ({interrogation}:{prompt_weight})"
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else:
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p.prompt = f"({interrogator}:{prompt_weight}), {p.prompt}"
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p.prompt = f"({interrogation}:{prompt_weight}), {p.prompt}"
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else:
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if p.prompt == "":
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p.prompt = interrogator
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p.prompt = interrogation
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elif in_front == "Append to prompt":
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p.prompt = f"{p.prompt}, {interrogator}"
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p.prompt = f"{p.prompt}, {interrogation}"
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else:
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p.prompt = f"{interrogator}, {p.prompt}"
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p.prompt = f"{interrogation}, {p.prompt}"
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print(f"Prompt: {p.prompt}")
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