| | from __future__ import annotations
|
| | import base64
|
| | import io
|
| | import json
|
| | import os
|
| | import re
|
| | import sys
|
| |
|
| | import gradio as gr
|
| | from modules.paths import data_path
|
| | from modules import shared, ui_tempdir, script_callbacks, processing, infotext_versions, images, prompt_parser, errors
|
| | from PIL import Image
|
| |
|
| | sys.modules['modules.generation_parameters_copypaste'] = sys.modules[__name__]
|
| |
|
| | re_param_code = r'\s*(\w[\w \-/]+):\s*("(?:\\.|[^\\"])+"|[^,]*)(?:,|$)'
|
| | re_param = re.compile(re_param_code)
|
| | re_imagesize = re.compile(r"^(\d+)x(\d+)$")
|
| | re_hypernet_hash = re.compile("\(([0-9a-f]+)\)$")
|
| | type_of_gr_update = type(gr.update())
|
| |
|
| |
|
| | class ParamBinding:
|
| | 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):
|
| | self.paste_button = paste_button
|
| | self.tabname = tabname
|
| | self.source_text_component = source_text_component
|
| | self.source_image_component = source_image_component
|
| | self.source_tabname = source_tabname
|
| | self.override_settings_component = override_settings_component
|
| | self.paste_field_names = paste_field_names or []
|
| |
|
| |
|
| | class PasteField(tuple):
|
| | def __new__(cls, component, target, *, api=None):
|
| | return super().__new__(cls, (component, target))
|
| |
|
| | def __init__(self, component, target, *, api=None):
|
| | super().__init__()
|
| |
|
| | self.api = api
|
| | self.component = component
|
| | self.label = target if isinstance(target, str) else None
|
| | self.function = target if callable(target) else None
|
| |
|
| |
|
| | paste_fields: dict[str, dict] = {}
|
| | registered_param_bindings: list[ParamBinding] = []
|
| |
|
| |
|
| | def reset():
|
| | paste_fields.clear()
|
| | registered_param_bindings.clear()
|
| |
|
| |
|
| | def quote(text):
|
| | if ',' not in str(text) and '\n' not in str(text) and ':' not in str(text):
|
| | return text
|
| |
|
| | return json.dumps(text, ensure_ascii=False)
|
| |
|
| |
|
| | def unquote(text):
|
| | if len(text) == 0 or text[0] != '"' or text[-1] != '"':
|
| | return text
|
| |
|
| | try:
|
| | return json.loads(text)
|
| | except Exception:
|
| | return text
|
| |
|
| |
|
| | def image_from_url_text(filedata):
|
| | if filedata is None:
|
| | return None
|
| |
|
| | if type(filedata) == list and filedata and type(filedata[0]) == dict and filedata[0].get("is_file", False):
|
| | filedata = filedata[0]
|
| |
|
| | if type(filedata) == dict and filedata.get("is_file", False):
|
| | filename = filedata["name"]
|
| | is_in_right_dir = ui_tempdir.check_tmp_file(shared.demo, filename)
|
| | assert is_in_right_dir, 'trying to open image file outside of allowed directories'
|
| |
|
| | filename = filename.rsplit('?', 1)[0]
|
| | return images.read(filename)
|
| |
|
| | if type(filedata) == list:
|
| | if len(filedata) == 0:
|
| | return None
|
| |
|
| | filedata = filedata[0]
|
| |
|
| | if filedata.startswith("data:image/png;base64,"):
|
| | filedata = filedata[len("data:image/png;base64,"):]
|
| |
|
| | filedata = base64.decodebytes(filedata.encode('utf-8'))
|
| | image = images.read(io.BytesIO(filedata))
|
| | return image
|
| |
|
| |
|
| | def add_paste_fields(tabname, init_img, fields, override_settings_component=None):
|
| |
|
| | if fields:
|
| | for i in range(len(fields)):
|
| | if not isinstance(fields[i], PasteField):
|
| | fields[i] = PasteField(*fields[i])
|
| |
|
| | paste_fields[tabname] = {"init_img": init_img, "fields": fields, "override_settings_component": override_settings_component}
|
| |
|
| |
|
| | import modules.ui
|
| | if tabname == 'txt2img':
|
| | modules.ui.txt2img_paste_fields = fields
|
| | elif tabname == 'img2img':
|
| | modules.ui.img2img_paste_fields = fields
|
| |
|
| |
|
| | def create_buttons(tabs_list):
|
| | buttons = {}
|
| | for tab in tabs_list:
|
| | buttons[tab] = gr.Button(f"Send to {tab}", elem_id=f"{tab}_tab")
|
| | return buttons
|
| |
|
| |
|
| | def bind_buttons(buttons, send_image, send_generate_info):
|
| | """old function for backwards compatibility; do not use this, use register_paste_params_button"""
|
| | for tabname, button in buttons.items():
|
| | source_text_component = send_generate_info if isinstance(send_generate_info, gr.components.Component) else None
|
| | source_tabname = send_generate_info if isinstance(send_generate_info, str) else None
|
| |
|
| | 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))
|
| |
|
| |
|
| | def register_paste_params_button(binding: ParamBinding):
|
| | registered_param_bindings.append(binding)
|
| |
|
| |
|
| | def connect_paste_params_buttons():
|
| | for binding in registered_param_bindings:
|
| | destination_image_component = paste_fields[binding.tabname]["init_img"]
|
| | fields = paste_fields[binding.tabname]["fields"]
|
| | override_settings_component = binding.override_settings_component or paste_fields[binding.tabname]["override_settings_component"]
|
| |
|
| | destination_width_component = next(iter([field for field, name in fields if name == "Size-1"] if fields else []), None)
|
| | destination_height_component = next(iter([field for field, name in fields if name == "Size-2"] if fields else []), None)
|
| |
|
| | if binding.source_image_component and destination_image_component:
|
| | if isinstance(binding.source_image_component, gr.Gallery):
|
| | func = send_image_and_dimensions if destination_width_component else image_from_url_text
|
| | jsfunc = "extract_image_from_gallery"
|
| | else:
|
| | func = send_image_and_dimensions if destination_width_component else lambda x: x
|
| | jsfunc = None
|
| |
|
| | binding.paste_button.click(
|
| | fn=func,
|
| | _js=jsfunc,
|
| | inputs=[binding.source_image_component],
|
| | outputs=[destination_image_component, destination_width_component, destination_height_component] if destination_width_component else [destination_image_component],
|
| | show_progress=False,
|
| | )
|
| |
|
| | if binding.source_text_component is not None and fields is not None:
|
| | connect_paste(binding.paste_button, fields, binding.source_text_component, override_settings_component, binding.tabname)
|
| |
|
| | if binding.source_tabname is not None and fields is not None:
|
| | paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration'] + (["Seed"] if shared.opts.send_seed else []) + binding.paste_field_names
|
| | binding.paste_button.click(
|
| | fn=lambda *x: x,
|
| | inputs=[field for field, name in paste_fields[binding.source_tabname]["fields"] if name in paste_field_names],
|
| | outputs=[field for field, name in fields if name in paste_field_names],
|
| | show_progress=False,
|
| | )
|
| |
|
| | binding.paste_button.click(
|
| | fn=None,
|
| | _js=f"switch_to_{binding.tabname}",
|
| | inputs=None,
|
| | outputs=None,
|
| | show_progress=False,
|
| | )
|
| |
|
| |
|
| | def send_image_and_dimensions(x):
|
| | if isinstance(x, Image.Image):
|
| | img = x
|
| | else:
|
| | img = image_from_url_text(x)
|
| |
|
| | if shared.opts.send_size and isinstance(img, Image.Image):
|
| | w = img.width
|
| | h = img.height
|
| | else:
|
| | w = gr.update()
|
| | h = gr.update()
|
| |
|
| | return img, w, h
|
| |
|
| |
|
| | def restore_old_hires_fix_params(res):
|
| | """for infotexts that specify old First pass size parameter, convert it into
|
| | width, height, and hr scale"""
|
| |
|
| | firstpass_width = res.get('First pass size-1', None)
|
| | firstpass_height = res.get('First pass size-2', None)
|
| |
|
| | if shared.opts.use_old_hires_fix_width_height:
|
| | hires_width = int(res.get("Hires resize-1", 0))
|
| | hires_height = int(res.get("Hires resize-2", 0))
|
| |
|
| | if hires_width and hires_height:
|
| | res['Size-1'] = hires_width
|
| | res['Size-2'] = hires_height
|
| | return
|
| |
|
| | if firstpass_width is None or firstpass_height is None:
|
| | return
|
| |
|
| | firstpass_width, firstpass_height = int(firstpass_width), int(firstpass_height)
|
| | width = int(res.get("Size-1", 512))
|
| | height = int(res.get("Size-2", 512))
|
| |
|
| | if firstpass_width == 0 or firstpass_height == 0:
|
| | firstpass_width, firstpass_height = processing.old_hires_fix_first_pass_dimensions(width, height)
|
| |
|
| | res['Size-1'] = firstpass_width
|
| | res['Size-2'] = firstpass_height
|
| | res['Hires resize-1'] = width
|
| | res['Hires resize-2'] = height
|
| |
|
| |
|
| | def parse_generation_parameters(x: str, skip_fields: list[str] | None = None):
|
| | """parses generation parameters string, the one you see in text field under the picture in UI:
|
| | ```
|
| | 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
|
| | Negative prompt: ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing
|
| | Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model hash: 45dee52b
|
| | ```
|
| |
|
| | returns a dict with field values
|
| | """
|
| | if skip_fields is None:
|
| | skip_fields = shared.opts.infotext_skip_pasting
|
| |
|
| | res = {}
|
| |
|
| | prompt = ""
|
| | negative_prompt = ""
|
| |
|
| | done_with_prompt = False
|
| |
|
| | *lines, lastline = x.strip().split("\n")
|
| | if len(re_param.findall(lastline)) < 3:
|
| | lines.append(lastline)
|
| | lastline = ''
|
| |
|
| | for line in lines:
|
| | line = line.strip()
|
| | if line.startswith("Negative prompt:"):
|
| | done_with_prompt = True
|
| | line = line[16:].strip()
|
| | if done_with_prompt:
|
| | negative_prompt += ("" if negative_prompt == "" else "\n") + line
|
| | else:
|
| | prompt += ("" if prompt == "" else "\n") + line
|
| |
|
| | for k, v in re_param.findall(lastline):
|
| | try:
|
| | if v[0] == '"' and v[-1] == '"':
|
| | v = unquote(v)
|
| |
|
| | m = re_imagesize.match(v)
|
| | if m is not None:
|
| | res[f"{k}-1"] = m.group(1)
|
| | res[f"{k}-2"] = m.group(2)
|
| | else:
|
| | res[k] = v
|
| | except Exception:
|
| | print(f"Error parsing \"{k}: {v}\"")
|
| |
|
| |
|
| | if shared.opts.infotext_styles != "Ignore":
|
| | found_styles, prompt_no_styles, negative_prompt_no_styles = shared.prompt_styles.extract_styles_from_prompt(prompt, negative_prompt)
|
| |
|
| | same_hr_styles = True
|
| | if ("Hires prompt" in res or "Hires negative prompt" in res) and (infotext_ver > infotext_versions.v180_hr_styles if (infotext_ver := infotext_versions.parse_version(res.get("Version"))) else True):
|
| | hr_prompt, hr_negative_prompt = res.get("Hires prompt", prompt), res.get("Hires negative prompt", negative_prompt)
|
| | hr_found_styles, hr_prompt_no_styles, hr_negative_prompt_no_styles = shared.prompt_styles.extract_styles_from_prompt(hr_prompt, hr_negative_prompt)
|
| | if same_hr_styles := found_styles == hr_found_styles:
|
| | res["Hires prompt"] = '' if hr_prompt_no_styles == prompt_no_styles else hr_prompt_no_styles
|
| | res['Hires negative prompt'] = '' if hr_negative_prompt_no_styles == negative_prompt_no_styles else hr_negative_prompt_no_styles
|
| |
|
| | if same_hr_styles:
|
| | prompt, negative_prompt = prompt_no_styles, negative_prompt_no_styles
|
| | if (shared.opts.infotext_styles == "Apply if any" and found_styles) or shared.opts.infotext_styles == "Apply":
|
| | res['Styles array'] = found_styles
|
| |
|
| | res["Prompt"] = prompt
|
| | res["Negative prompt"] = negative_prompt
|
| |
|
| |
|
| | if "Clip skip" not in res:
|
| | res["Clip skip"] = "1"
|
| |
|
| | hypernet = res.get("Hypernet", None)
|
| | if hypernet is not None:
|
| | res["Prompt"] += f"""<hypernet:{hypernet}:{res.get("Hypernet strength", "1.0")}>"""
|
| |
|
| | if "Hires resize-1" not in res:
|
| | res["Hires resize-1"] = 0
|
| | res["Hires resize-2"] = 0
|
| |
|
| | if "Hires sampler" not in res:
|
| | res["Hires sampler"] = "Use same sampler"
|
| |
|
| | if "Hires schedule type" not in res:
|
| | res["Hires schedule type"] = "Use same scheduler"
|
| |
|
| | if "Hires checkpoint" not in res:
|
| | res["Hires checkpoint"] = "Use same checkpoint"
|
| |
|
| | if "Hires prompt" not in res:
|
| | res["Hires prompt"] = ""
|
| |
|
| | if "Hires negative prompt" not in res:
|
| | res["Hires negative prompt"] = ""
|
| |
|
| | if "Mask mode" not in res:
|
| | res["Mask mode"] = "Inpaint masked"
|
| |
|
| | if "Masked content" not in res:
|
| | res["Masked content"] = 'original'
|
| |
|
| | if "Inpaint area" not in res:
|
| | res["Inpaint area"] = "Whole picture"
|
| |
|
| | if "Masked area padding" not in res:
|
| | res["Masked area padding"] = 32
|
| |
|
| | restore_old_hires_fix_params(res)
|
| |
|
| |
|
| | if "RNG" not in res:
|
| | res["RNG"] = "GPU"
|
| |
|
| | if "Schedule type" not in res:
|
| | res["Schedule type"] = "Automatic"
|
| |
|
| | if "Schedule max sigma" not in res:
|
| | res["Schedule max sigma"] = 0
|
| |
|
| | if "Schedule min sigma" not in res:
|
| | res["Schedule min sigma"] = 0
|
| |
|
| | if "Schedule rho" not in res:
|
| | res["Schedule rho"] = 0
|
| |
|
| | if "VAE Encoder" not in res:
|
| | res["VAE Encoder"] = "Full"
|
| |
|
| | if "VAE Decoder" not in res:
|
| | res["VAE Decoder"] = "Full"
|
| |
|
| | if "FP8 weight" not in res:
|
| | res["FP8 weight"] = "Disable"
|
| |
|
| | if "Cache FP16 weight for LoRA" not in res and res["FP8 weight"] != "Disable":
|
| | res["Cache FP16 weight for LoRA"] = False
|
| |
|
| | prompt_attention = prompt_parser.parse_prompt_attention(prompt)
|
| | prompt_attention += prompt_parser.parse_prompt_attention(negative_prompt)
|
| | prompt_uses_emphasis = len(prompt_attention) != len([p for p in prompt_attention if p[1] == 1.0 or p[0] == 'BREAK'])
|
| | if "Emphasis" not in res and prompt_uses_emphasis:
|
| | res["Emphasis"] = "Original"
|
| |
|
| | if "Refiner switch by sampling steps" not in res:
|
| | res["Refiner switch by sampling steps"] = False
|
| |
|
| | infotext_versions.backcompat(res)
|
| |
|
| | for key in skip_fields:
|
| | res.pop(key, None)
|
| |
|
| | return res
|
| |
|
| |
|
| | infotext_to_setting_name_mapping = [
|
| |
|
| | ]
|
| | """Mapping of infotext labels to setting names. Only left for backwards compatibility - use OptionInfo(..., infotext='...') instead.
|
| | Example content:
|
| |
|
| | infotext_to_setting_name_mapping = [
|
| | ('Conditional mask weight', 'inpainting_mask_weight'),
|
| | ('Model hash', 'sd_model_checkpoint'),
|
| | ('ENSD', 'eta_noise_seed_delta'),
|
| | ('Schedule type', 'k_sched_type'),
|
| | ]
|
| | """
|
| |
|
| |
|
| | def create_override_settings_dict(text_pairs):
|
| | """creates processing's override_settings parameters from gradio's multiselect
|
| |
|
| | Example input:
|
| | ['Clip skip: 2', 'Model hash: e6e99610c4', 'ENSD: 31337']
|
| |
|
| | Example output:
|
| | {'CLIP_stop_at_last_layers': 2, 'sd_model_checkpoint': 'e6e99610c4', 'eta_noise_seed_delta': 31337}
|
| | """
|
| |
|
| | res = {}
|
| |
|
| | params = {}
|
| | for pair in text_pairs:
|
| | k, v = pair.split(":", maxsplit=1)
|
| |
|
| | params[k] = v.strip()
|
| |
|
| | mapping = [(info.infotext, k) for k, info in shared.opts.data_labels.items() if info.infotext]
|
| | for param_name, setting_name in mapping + infotext_to_setting_name_mapping:
|
| | value = params.get(param_name, None)
|
| |
|
| | if value is None:
|
| | continue
|
| |
|
| | res[setting_name] = shared.opts.cast_value(setting_name, value)
|
| |
|
| | return res
|
| |
|
| |
|
| | def get_override_settings(params, *, skip_fields=None):
|
| | """Returns a list of settings overrides from the infotext parameters dictionary.
|
| |
|
| | This function checks the `params` dictionary for any keys that correspond to settings in `shared.opts` and returns
|
| | a list of tuples containing the parameter name, setting name, and new value cast to correct type.
|
| |
|
| | It checks for conditions before adding an override:
|
| | - ignores settings that match the current value
|
| | - ignores parameter keys present in skip_fields argument.
|
| |
|
| | Example input:
|
| | {"Clip skip": "2"}
|
| |
|
| | Example output:
|
| | [("Clip skip", "CLIP_stop_at_last_layers", 2)]
|
| | """
|
| |
|
| | res = []
|
| |
|
| | mapping = [(info.infotext, k) for k, info in shared.opts.data_labels.items() if info.infotext]
|
| | for param_name, setting_name in mapping + infotext_to_setting_name_mapping:
|
| | if param_name in (skip_fields or {}):
|
| | continue
|
| |
|
| | v = params.get(param_name, None)
|
| | if v is None:
|
| | continue
|
| |
|
| | if setting_name == "sd_model_checkpoint" and shared.opts.disable_weights_auto_swap:
|
| | continue
|
| |
|
| | v = shared.opts.cast_value(setting_name, v)
|
| | current_value = getattr(shared.opts, setting_name, None)
|
| |
|
| | if v == current_value:
|
| | continue
|
| |
|
| | res.append((param_name, setting_name, v))
|
| |
|
| | return res
|
| |
|
| |
|
| | def connect_paste(button, paste_fields, input_comp, override_settings_component, tabname):
|
| | def paste_func(prompt):
|
| | if not prompt and not shared.cmd_opts.hide_ui_dir_config and not shared.cmd_opts.no_prompt_history:
|
| | filename = os.path.join(data_path, "params.txt")
|
| | try:
|
| | with open(filename, "r", encoding="utf8") as file:
|
| | prompt = file.read()
|
| | except OSError:
|
| | pass
|
| |
|
| | params = parse_generation_parameters(prompt)
|
| | script_callbacks.infotext_pasted_callback(prompt, params)
|
| | res = []
|
| |
|
| | for output, key in paste_fields:
|
| | if callable(key):
|
| | try:
|
| | v = key(params)
|
| | except Exception:
|
| | errors.report(f"Error executing {key}", exc_info=True)
|
| | v = None
|
| | else:
|
| | v = params.get(key, None)
|
| |
|
| | if v is None:
|
| | res.append(gr.update())
|
| | elif isinstance(v, type_of_gr_update):
|
| | res.append(v)
|
| | else:
|
| | try:
|
| | valtype = type(output.value)
|
| |
|
| | if valtype == bool and v == "False":
|
| | val = False
|
| | elif valtype == int:
|
| | val = float(v)
|
| | else:
|
| | val = valtype(v)
|
| |
|
| | res.append(gr.update(value=val))
|
| | except Exception:
|
| | res.append(gr.update())
|
| |
|
| | return res
|
| |
|
| | if override_settings_component is not None:
|
| | already_handled_fields = {key: 1 for _, key in paste_fields}
|
| |
|
| | def paste_settings(params):
|
| | vals = get_override_settings(params, skip_fields=already_handled_fields)
|
| |
|
| | vals_pairs = [f"{infotext_text}: {value}" for infotext_text, setting_name, value in vals]
|
| |
|
| | return gr.Dropdown.update(value=vals_pairs, choices=vals_pairs, visible=bool(vals_pairs))
|
| |
|
| | paste_fields = paste_fields + [(override_settings_component, paste_settings)]
|
| |
|
| | button.click(
|
| | fn=paste_func,
|
| | inputs=[input_comp],
|
| | outputs=[x[0] for x in paste_fields],
|
| | show_progress=False,
|
| | )
|
| | button.click(
|
| | fn=None,
|
| | _js=f"recalculate_prompts_{tabname}",
|
| | inputs=[],
|
| | outputs=[],
|
| | show_progress=False,
|
| | )
|
| |
|
| |
|