mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
462 lines
16 KiB
Python
462 lines
16 KiB
Python
import base64
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import io
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import json
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import os
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import re
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import gradio as gr
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from modules.paths import data_path
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from modules import shared, ui_tempdir, script_callbacks, processing
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from PIL import Image
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re_param_code = r'\s*([\w ]+):\s*("(?:\\"[^,]|\\"|\\|[^\"])+"|[^,]*)(?:,|$)'
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re_param = re.compile(re_param_code)
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re_imagesize = re.compile(r"^(\d+)x(\d+)$")
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re_hypernet_hash = re.compile("\(([0-9a-f]+)\)$")
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type_of_gr_update = type(gr.update())
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paste_fields = {}
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registered_param_bindings = []
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class ParamBinding:
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def __init__(self, paste_button, tabname, source_text_component=None, source_image_component=None, source_tabname=None, override_settings_component=None, paste_field_names=None):
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self.paste_button = paste_button
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self.tabname = tabname
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self.source_text_component = source_text_component
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self.source_image_component = source_image_component
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self.source_tabname = source_tabname
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self.override_settings_component = override_settings_component
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self.paste_field_names = paste_field_names or []
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def reset():
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paste_fields.clear()
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def quote(text):
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if ',' not in str(text) and '\n' not in str(text) and ':' not in str(text):
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return text
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return json.dumps(text, ensure_ascii=False)
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def unquote(text):
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if len(text) == 0 or text[0] != '"' or text[-1] != '"':
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return text
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try:
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return json.loads(text)
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except Exception:
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return text
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def image_from_url_text(filedata):
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if filedata is None:
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return None
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if type(filedata) == list and filedata and type(filedata[0]) == dict and filedata[0].get("is_file", False):
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filedata = filedata[0]
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if type(filedata) == dict and filedata.get("is_file", False):
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filename = filedata["name"]
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is_in_right_dir = ui_tempdir.check_tmp_file(shared.demo, filename)
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assert is_in_right_dir, 'trying to open image file outside of allowed directories'
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filename = filename.rsplit('?', 1)[0]
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return Image.open(filename)
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if type(filedata) == list:
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if len(filedata) == 0:
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return None
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filedata = filedata[0]
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if filedata.startswith("data:image/png;base64,"):
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filedata = filedata[len("data:image/png;base64,"):]
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filedata = base64.decodebytes(filedata.encode('utf-8'))
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image = Image.open(io.BytesIO(filedata))
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return image
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def add_paste_fields(tabname, init_img, fields, override_settings_component=None):
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paste_fields[tabname] = {"init_img": init_img, "fields": fields, "override_settings_component": override_settings_component}
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# backwards compatibility for existing extensions
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import modules.ui
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if tabname == 'txt2img':
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modules.ui.txt2img_paste_fields = fields
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elif tabname == 'img2img':
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modules.ui.img2img_paste_fields = fields
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def create_buttons(tabs_list):
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buttons = {}
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for tab in tabs_list:
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buttons[tab] = gr.Button(f"Send to {tab}", elem_id=f"{tab}_tab")
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return buttons
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def bind_buttons(buttons, send_image, send_generate_info):
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"""old function for backwards compatibility; do not use this, use register_paste_params_button"""
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for tabname, button in buttons.items():
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source_text_component = send_generate_info if isinstance(send_generate_info, gr.components.Component) else None
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source_tabname = send_generate_info if isinstance(send_generate_info, str) else None
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register_paste_params_button(ParamBinding(paste_button=button, tabname=tabname, source_text_component=source_text_component, source_image_component=send_image, source_tabname=source_tabname))
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def register_paste_params_button(binding: ParamBinding):
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registered_param_bindings.append(binding)
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def connect_paste_params_buttons():
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binding: ParamBinding
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for binding in registered_param_bindings:
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destination_image_component = paste_fields[binding.tabname]["init_img"]
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fields = paste_fields[binding.tabname]["fields"]
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override_settings_component = binding.override_settings_component or paste_fields[binding.tabname]["override_settings_component"]
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destination_width_component = next(iter([field for field, name in fields if name == "Size-1"] if fields else []), None)
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destination_height_component = next(iter([field for field, name in fields if name == "Size-2"] if fields else []), None)
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if binding.source_image_component and destination_image_component:
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if isinstance(binding.source_image_component, gr.Gallery):
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func = send_image_and_dimensions if destination_width_component else image_from_url_text
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jsfunc = "extract_image_from_gallery"
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else:
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func = send_image_and_dimensions if destination_width_component else lambda x: x
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jsfunc = None
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binding.paste_button.click(
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fn=func,
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_js=jsfunc,
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inputs=[binding.source_image_component],
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outputs=[destination_image_component, destination_width_component, destination_height_component] if destination_width_component else [destination_image_component],
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show_progress=False,
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)
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if binding.source_text_component is not None and fields is not None:
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connect_paste(binding.paste_button, fields, binding.source_text_component, override_settings_component, binding.tabname)
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if binding.source_tabname is not None and fields is not None:
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paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration'] + (["Seed"] if shared.opts.send_seed else []) + binding.paste_field_names
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binding.paste_button.click(
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fn=lambda *x: x,
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inputs=[field for field, name in paste_fields[binding.source_tabname]["fields"] if name in paste_field_names],
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outputs=[field for field, name in fields if name in paste_field_names],
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show_progress=False,
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)
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binding.paste_button.click(
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fn=None,
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_js=f"switch_to_{binding.tabname}",
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inputs=None,
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outputs=None,
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show_progress=False,
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)
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def send_image_and_dimensions(x):
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if isinstance(x, Image.Image):
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img = x
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else:
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img = image_from_url_text(x)
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if shared.opts.send_size and isinstance(img, Image.Image):
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w = img.width
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h = img.height
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else:
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w = gr.update()
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h = gr.update()
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return img, w, h
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def restore_old_hires_fix_params(res):
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"""for infotexts that specify old First pass size parameter, convert it into
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width, height, and hr scale"""
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firstpass_width = res.get('First pass size-1', None)
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firstpass_height = res.get('First pass size-2', None)
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if shared.opts.use_old_hires_fix_width_height:
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hires_width = int(res.get("Hires resize-1", 0))
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hires_height = int(res.get("Hires resize-2", 0))
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if hires_width and hires_height:
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res['Size-1'] = hires_width
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res['Size-2'] = hires_height
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return
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if firstpass_width is None or firstpass_height is None:
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return
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firstpass_width, firstpass_height = int(firstpass_width), int(firstpass_height)
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width = int(res.get("Size-1", 512))
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height = int(res.get("Size-2", 512))
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if firstpass_width == 0 or firstpass_height == 0:
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firstpass_width, firstpass_height = processing.old_hires_fix_first_pass_dimensions(width, height)
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res['Size-1'] = firstpass_width
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res['Size-2'] = firstpass_height
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res['Hires resize-1'] = width
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res['Hires resize-2'] = height
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def parse_generation_parameters(x: str):
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"""parses generation parameters string, the one you see in text field under the picture in UI:
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```
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girl with an artist's beret, determined, blue eyes, desert scene, computer monitors, heavy makeup, by Alphonse Mucha and Charlie Bowater, ((eyeshadow)), (coquettish), detailed, intricate
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Negative prompt: ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing
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Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model hash: 45dee52b
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```
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returns a dict with field values
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"""
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res = {}
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prompt = ""
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negative_prompt = ""
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done_with_prompt = False
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*lines, lastline = x.strip().split("\n")
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if len(re_param.findall(lastline)) < 3:
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lines.append(lastline)
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lastline = ''
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for line in lines:
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line = line.strip()
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if line.startswith("Negative prompt:"):
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done_with_prompt = True
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line = line[16:].strip()
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if done_with_prompt:
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negative_prompt += ("" if negative_prompt == "" else "\n") + line
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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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for k, v in re_param.findall(lastline):
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try:
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if v[0] == '"' and v[-1] == '"':
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v = unquote(v)
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m = re_imagesize.match(v)
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if m is not None:
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res[f"{k}-1"] = m.group(1)
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res[f"{k}-2"] = m.group(2)
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else:
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res[k] = v
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except Exception:
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print(f"Error parsing \"{k}: {v}\"")
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# Missing CLIP skip means it was set to 1 (the default)
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if "Clip skip" not in res:
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res["Clip skip"] = "1"
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hypernet = res.get("Hypernet", None)
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if hypernet is not None:
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res["Prompt"] += f"""<hypernet:{hypernet}:{res.get("Hypernet strength", "1.0")}>"""
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if "Hires resize-1" not in res:
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res["Hires resize-1"] = 0
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res["Hires resize-2"] = 0
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if "Hires sampler" not in res:
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res["Hires sampler"] = "Use same sampler"
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if "Hires checkpoint" not in res:
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res["Hires checkpoint"] = "Use same checkpoint"
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if "Hires prompt" not in res:
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res["Hires prompt"] = ""
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if "Hires negative prompt" not in res:
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res["Hires negative prompt"] = ""
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restore_old_hires_fix_params(res)
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# Missing RNG means the default was set, which is GPU RNG
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if "RNG" not in res:
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res["RNG"] = "GPU"
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if "Schedule type" not in res:
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res["Schedule type"] = "Automatic"
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if "Schedule max sigma" not in res:
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res["Schedule max sigma"] = 0
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if "Schedule min sigma" not in res:
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res["Schedule min sigma"] = 0
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if "Schedule rho" not in res:
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res["Schedule rho"] = 0
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if "VAE Encoder" not in res:
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res["VAE Encoder"] = "Full"
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if "VAE Decoder" not in res:
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res["VAE Decoder"] = "Full"
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return res
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infotext_to_setting_name_mapping = [
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('Clip skip', 'CLIP_stop_at_last_layers', ),
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('Conditional mask weight', 'inpainting_mask_weight'),
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('Model hash', 'sd_model_checkpoint'),
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('ENSD', 'eta_noise_seed_delta'),
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('Schedule type', 'k_sched_type'),
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('Schedule max sigma', 'sigma_max'),
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('Schedule min sigma', 'sigma_min'),
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('Schedule rho', 'rho'),
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('Noise multiplier', 'initial_noise_multiplier'),
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('Eta', 'eta_ancestral'),
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('Eta DDIM', 'eta_ddim'),
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('Sigma churn', 's_churn'),
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('Sigma tmin', 's_tmin'),
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('Sigma tmax', 's_tmax'),
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('Sigma noise', 's_noise'),
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('Discard penultimate sigma', 'always_discard_next_to_last_sigma'),
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('UniPC variant', 'uni_pc_variant'),
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('UniPC skip type', 'uni_pc_skip_type'),
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('UniPC order', 'uni_pc_order'),
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('UniPC lower order final', 'uni_pc_lower_order_final'),
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('Token merging ratio', 'token_merging_ratio'),
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('Token merging ratio hr', 'token_merging_ratio_hr'),
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('RNG', 'randn_source'),
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('NGMS', 's_min_uncond'),
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('Pad conds', 'pad_cond_uncond'),
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('VAE', 'sd_vae'),
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('VAE Encoder', 'sd_vae_encode_method'),
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('VAE Decoder', 'sd_vae_decode_method'),
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('Tiling', 'tiling'),
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('Face restoration', 'face_restoration'),
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]
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def create_override_settings_dict(text_pairs):
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"""creates processing's override_settings parameters from gradio's multiselect
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Example input:
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['Clip skip: 2', 'Model hash: e6e99610c4', 'ENSD: 31337']
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Example output:
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{'CLIP_stop_at_last_layers': 2, 'sd_model_checkpoint': 'e6e99610c4', 'eta_noise_seed_delta': 31337}
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"""
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res = {}
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params = {}
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for pair in text_pairs:
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k, v = pair.split(":", maxsplit=1)
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params[k] = v.strip()
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for param_name, setting_name in infotext_to_setting_name_mapping:
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value = params.get(param_name, None)
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if value is None:
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continue
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res[setting_name] = shared.opts.cast_value(setting_name, value)
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return res
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def connect_paste(button, paste_fields, input_comp, override_settings_component, tabname):
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def paste_func(prompt):
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if not prompt and not shared.cmd_opts.hide_ui_dir_config:
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filename = os.path.join(data_path, "params.txt")
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if os.path.exists(filename):
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with open(filename, "r", encoding="utf8") as file:
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prompt = file.read()
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params = parse_generation_parameters(prompt)
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script_callbacks.infotext_pasted_callback(prompt, params)
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res = []
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for output, key in paste_fields:
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if callable(key):
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v = key(params)
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else:
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v = params.get(key, None)
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if v is None:
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res.append(gr.update())
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elif isinstance(v, type_of_gr_update):
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res.append(v)
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else:
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try:
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valtype = type(output.value)
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if valtype == bool and v == "False":
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val = False
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else:
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val = valtype(v)
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res.append(gr.update(value=val))
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except Exception:
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res.append(gr.update())
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return res
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if override_settings_component is not None:
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already_handled_fields = {key: 1 for _, key in paste_fields}
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def paste_settings(params):
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vals = {}
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for param_name, setting_name in infotext_to_setting_name_mapping:
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if param_name in already_handled_fields:
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continue
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v = params.get(param_name, None)
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if v is None:
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continue
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if setting_name == "sd_model_checkpoint" and shared.opts.disable_weights_auto_swap:
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continue
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v = shared.opts.cast_value(setting_name, v)
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current_value = getattr(shared.opts, setting_name, None)
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if v == current_value:
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continue
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vals[param_name] = v
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vals_pairs = [f"{k}: {v}" for k, v in vals.items()]
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return gr.Dropdown.update(value=vals_pairs, choices=vals_pairs, visible=bool(vals_pairs))
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paste_fields = paste_fields + [(override_settings_component, paste_settings)]
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button.click(
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fn=paste_func,
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inputs=[input_comp],
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outputs=[x[0] for x in paste_fields],
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show_progress=False,
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)
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button.click(
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fn=None,
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_js=f"recalculate_prompts_{tabname}",
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inputs=[],
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outputs=[],
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show_progress=False,
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)
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