328 lines
11 KiB
Python
328 lines
11 KiB
Python
import base64
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import io
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import math
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import os
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import re
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from pathlib import Path
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import gradio as gr
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from modules.shared import script_path
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from modules import shared, ui_tempdir
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import tempfile
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from PIL import Image
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re_param_code = r'\s*([\w ]+):\s*("(?:\\|\"|[^\"])+"|[^,]*)(?:,|$)'
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re_param = re.compile(re_param_code)
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re_params = re.compile(r"^(?:" + re_param_code + "){3,}$")
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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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bind_list = []
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def reset():
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paste_fields.clear()
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bind_list.clear()
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def quote(text):
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if ',' not in str(text):
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return text
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text = str(text)
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text = text.replace('\\', '\\\\')
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text = text.replace('"', '\\"')
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return f'"{text}"'
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def image_from_url_text(filedata):
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if type(filedata) == list and len(filedata) > 0 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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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):
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paste_fields[tabname] = {"init_img": init_img, "fields": fields}
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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 integrate_settings_paste_fields(component_dict):
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from modules import ui
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settings_map = {
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'sd_hypernetwork': 'Hypernet',
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'sd_hypernetwork_strength': 'Hypernet strength',
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'CLIP_stop_at_last_layers': 'Clip skip',
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'inpainting_mask_weight': 'Conditional mask weight',
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'sd_model_checkpoint': 'Model hash',
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'eta_noise_seed_delta': 'ENSD',
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'initial_noise_multiplier': 'Noise multiplier',
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}
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settings_paste_fields = [
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(component_dict[k], lambda d, k=k, v=v: ui.apply_setting(k, d.get(v, None)))
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for k, v in settings_map.items()
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]
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for tabname, info in paste_fields.items():
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if info["fields"] is not None:
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info["fields"] += settings_paste_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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#if send_generate_info is a tab name, mean generate_info comes from the params fields of the tab
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def bind_buttons(buttons, send_image, send_generate_info):
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bind_list.append([buttons, send_image, send_generate_info])
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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 run_bind():
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for buttons, source_image_component, send_generate_info in bind_list:
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for tab in buttons:
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button = buttons[tab]
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destination_image_component = paste_fields[tab]["init_img"]
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fields = paste_fields[tab]["fields"]
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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 source_image_component and destination_image_component:
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if isinstance(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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button.click(
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fn=func,
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_js=jsfunc,
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inputs=[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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)
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if send_generate_info and fields is not None:
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if send_generate_info in paste_fields:
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paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration'] + (["Seed"] if shared.opts.send_seed else [])
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button.click(
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fn=lambda *x: x,
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inputs=[field for field, name in paste_fields[send_generate_info]["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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)
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else:
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connect_paste(button, fields, send_generate_info)
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button.click(
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fn=None,
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_js=f"switch_to_{tab}",
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inputs=None,
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outputs=None,
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)
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def find_hypernetwork_key(hypernet_name, hypernet_hash=None):
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"""Determines the config parameter name to use for the hypernet based on the parameters in the infotext.
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Example: an infotext provides "Hypernet: ke-ta" and "Hypernet hash: 1234abcd". For the "Hypernet" config
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parameter this means there should be an entry that looks like "ke-ta-10000(1234abcd)" to set it to.
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If the infotext has no hash, then a hypernet with the same name will be selected instead.
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"""
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hypernet_name = hypernet_name.lower()
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if hypernet_hash is not None:
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# Try to match the hash in the name
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for hypernet_key in shared.hypernetworks.keys():
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result = re_hypernet_hash.search(hypernet_key)
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if result is not None and result[1] == hypernet_hash:
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return hypernet_key
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else:
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# Fall back to a hypernet with the same name
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for hypernet_key in shared.hypernetworks.keys():
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if hypernet_key.lower().startswith(hypernet_name):
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return hypernet_key
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return None
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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 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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# old algorithm for auto-calculating first pass size
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desired_pixel_count = 512 * 512
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actual_pixel_count = width * height
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scale = math.sqrt(desired_pixel_count / actual_pixel_count)
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firstpass_width = math.ceil(scale * width / 64) * 64
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firstpass_height = math.ceil(scale * height / 64) * 64
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hr_scale = width / firstpass_width if firstpass_width > 0 else height / firstpass_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 upscale'] = hr_scale
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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 not re_params.match(lastline):
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lines.append(lastline)
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lastline = ''
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for i, line in enumerate(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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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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m = re_imagesize.match(v)
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if m is not None:
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res[k+"-1"] = m.group(1)
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res[k+"-2"] = m.group(2)
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else:
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res[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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if "Hypernet strength" not in res:
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res["Hypernet strength"] = "1"
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if "Hypernet" in res:
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hypernet_name = res["Hypernet"]
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hypernet_hash = res.get("Hypernet hash", None)
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res["Hypernet"] = find_hypernetwork_key(hypernet_name, hypernet_hash)
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restore_old_hires_fix_params(res)
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return res
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def connect_paste(button, paste_fields, input_comp, jsfunc=None):
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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(script_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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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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button.click(
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fn=paste_func,
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_js=jsfunc,
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inputs=[input_comp],
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outputs=[x[0] for x in paste_fields],
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)
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