infer styles from prompts, and an option to control the behavior
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30bbb8bce3
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@ -265,6 +265,14 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
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else:
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prompt += ("" if prompt == "" else "\n") + line
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if shared.opts.infotext_styles != "Ignore":
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found_styles, prompt, negative_prompt = shared.prompt_styles.extract_styles_from_prompt(prompt, negative_prompt)
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if shared.opts.infotext_styles == "Apply":
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res["Styles array"] = found_styles
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elif shared.opts.infotext_styles == "Apply if any" and found_styles:
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res["Styles array"] = found_styles
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res["Prompt"] = prompt
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res["Negative prompt"] = negative_prompt
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@ -260,6 +260,10 @@ class OptionInfo:
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self.comment_after += f"<span class='info'>({info})</span>"
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return self
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def html(self, html):
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self.comment_after += html
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return self
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def needs_restart(self):
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self.comment_after += " <span class='info'>(requires restart)</span>"
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return self
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@ -488,7 +492,14 @@ options_templates.update(options_section(('infotext', "Infotext"), {
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"add_model_hash_to_info": OptionInfo(True, "Add model hash to generation information"),
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"add_model_name_to_info": OptionInfo(True, "Add model name to generation information"),
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"add_version_to_infotext": OptionInfo(True, "Add program version to generation information"),
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"disable_weights_auto_swap": OptionInfo(True, "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint."),
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"disable_weights_auto_swap": OptionInfo(True, "Disregard checkpoint information from pasted infotext").info("when reading generation parameters from text into UI"),
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"infotext_styles": OptionInfo("Apply if any", "Infer styles from prompts of pasted infotext", gr.Radio, {"choices": ["Ignore", "Apply", "Discard", "Apply if any"]}).info("when reading generation parameters from text into UI)").html("""<ul style='margin-left: 1.5em'>
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<li>Ignore: keep prompt and styles dropdown as it is.</li>
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<li>Apply: remove style text from prompt, always replace styles dropdown value with found styles (even if none are found).</li>
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<li>Discard: remove style text from prompt, keep styles dropdown as it is.</li>
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<li>Apply if any: remove style text from prompt; if any styles are found in prompt, put them into styles dropdown, otherwise keep it as it is.</li>
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</ul>"""),
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}))
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options_templates.update(options_section(('ui', "Live previews"), {
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@ -1,6 +1,7 @@
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import csv
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import os
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import os.path
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import re
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import typing
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import shutil
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@ -28,6 +29,44 @@ def apply_styles_to_prompt(prompt, styles):
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return prompt
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re_spaces = re.compile(" +")
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def extract_style_text_from_prompt(style_text, prompt):
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stripped_prompt = re.sub(re_spaces, " ", prompt.strip())
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stripped_style_text = re.sub(re_spaces, " ", style_text.strip())
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if "{prompt}" in stripped_style_text:
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left, right = stripped_style_text.split("{prompt}", 2)
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if stripped_prompt.startswith(left) and stripped_prompt.endswith(right):
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prompt = stripped_prompt[len(left):len(stripped_prompt)-len(right)]
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return True, prompt
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else:
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if stripped_prompt.endswith(stripped_style_text):
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prompt = stripped_prompt[:len(stripped_prompt)-len(stripped_style_text)]
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if prompt.endswith(', '):
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prompt = prompt[:-2]
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return True, prompt
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return False, prompt
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def extract_style_from_prompts(style: PromptStyle, prompt, negative_prompt):
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if not style.prompt and not style.negative_prompt:
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return False, prompt, negative_prompt
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match_positive, extracted_positive = extract_style_text_from_prompt(style.prompt, prompt)
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if not match_positive:
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return False, prompt, negative_prompt
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match_negative, extracted_negative = extract_style_text_from_prompt(style.negative_prompt, negative_prompt)
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if not match_negative:
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return False, prompt, negative_prompt
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return True, extracted_positive, extracted_negative
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class StyleDatabase:
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def __init__(self, path: str):
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self.no_style = PromptStyle("None", "", "")
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@ -67,10 +106,34 @@ class StyleDatabase:
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if os.path.exists(path):
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shutil.copy(path, f"{path}.bak")
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fd = os.open(path, os.O_RDWR|os.O_CREAT)
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fd = os.open(path, os.O_RDWR | os.O_CREAT)
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with os.fdopen(fd, "w", encoding="utf-8-sig", newline='') as file:
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# _fields is actually part of the public API: typing.NamedTuple is a replacement for collections.NamedTuple,
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# and collections.NamedTuple has explicit documentation for accessing _fields. Same goes for _asdict()
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writer = csv.DictWriter(file, fieldnames=PromptStyle._fields)
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writer.writeheader()
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writer.writerows(style._asdict() for k, style in self.styles.items())
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writer.writerows(style._asdict() for k, style in self.styles.items())
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def extract_styles_from_prompt(self, prompt, negative_prompt):
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extracted = []
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applicable_styles = list(self.styles.values())
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while True:
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found_style = None
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for style in applicable_styles:
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is_match, new_prompt, new_neg_prompt = extract_style_from_prompts(style, prompt, negative_prompt)
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if is_match:
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found_style = style
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prompt = new_prompt
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negative_prompt = new_neg_prompt
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break
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if not found_style:
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break
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applicable_styles.remove(found_style)
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extracted.append(found_style.name)
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return list(reversed(extracted)), prompt, negative_prompt
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@ -621,6 +621,7 @@ def create_ui():
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(subseed_strength, "Variation seed strength"),
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(seed_resize_from_w, "Seed resize from-1"),
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(seed_resize_from_h, "Seed resize from-2"),
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(txt2img_prompt_styles, lambda d: d["Styles array"] if isinstance(d.get("Styles array"), list) else gr.update()),
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(denoising_strength, "Denoising strength"),
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(enable_hr, lambda d: "Denoising strength" in d),
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(hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
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@ -1036,6 +1037,7 @@ def create_ui():
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(subseed_strength, "Variation seed strength"),
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(seed_resize_from_w, "Seed resize from-1"),
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(seed_resize_from_h, "Seed resize from-2"),
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(img2img_prompt_styles, lambda d: d["Styles array"] if isinstance(d.get("Styles array"), list) else gr.update()),
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(denoising_strength, "Denoising strength"),
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(mask_blur, "Mask blur"),
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*modules.scripts.scripts_img2img.infotext_fields
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