import os import sys import traceback from collections import namedtuple import gradio as gr from modules.processing import StableDiffusionProcessing from modules import shared, paths, script_callbacks, extensions, script_loading AlwaysVisible = object() class Script: filename = None args_from = None args_to = None alwayson = False """A gr.Group component that has all script's UI inside it""" group = None infotext_fields = None """if set in ui(), this is a list of pairs of gradio component + text; the text will be used when parsing infotext to set the value for the component; see ui.py's txt2img_paste_fields for an example """ def title(self): """this function should return the title of the script. This is what will be displayed in the dropdown menu.""" raise NotImplementedError() def ui(self, is_img2img): """this function should create gradio UI elements. See https://gradio.app/docs/#components The return value should be an array of all components that are used in processing. Values of those returned componenbts will be passed to run() and process() functions. """ pass def show(self, is_img2img): """ is_img2img is True if this function is called for the img2img interface, and Fasle otherwise This function should return: - False if the script should not be shown in UI at all - True if the script should be shown in UI if it's scelected in the scripts drowpdown - script.AlwaysVisible if the script should be shown in UI at all times """ return True def run(self, p, *args): """ This function is called if the script has been selected in the script dropdown. It must do all processing and return the Processed object with results, same as one returned by processing.process_images. Usually the processing is done by calling the processing.process_images function. args contains all values returned by components from ui() """ raise NotImplementedError() def process(self, p, *args): """ This function is called before processing begins for AlwaysVisible scripts. You can modify the processing object (p) here, inject hooks, etc. args contains all values returned by components from ui() """ pass def process_batch(self, p, *args, **kwargs): """ Same as process(), but called for every batch. **kwargs will have those items: - batch_number - index of current batch, from 0 to number of batches-1 - prompts - list of prompts for current batch; you can change contents of this list but changing the number of entries will likely break things - seeds - list of seeds for current batch - subseeds - list of subseeds for current batch """ pass def postprocess(self, p, processed, *args): """ This function is called after processing ends for AlwaysVisible scripts. args contains all values returned by components from ui() """ pass def describe(self): """unused""" return "" current_basedir = paths.script_path def basedir(): """returns the base directory for the current script. For scripts in the main scripts directory, this is the main directory (where webui.py resides), and for scripts in extensions directory (ie extensions/aesthetic/script/aesthetic.py), this is extension's directory (extensions/aesthetic) """ return current_basedir scripts_data = [] ScriptFile = namedtuple("ScriptFile", ["basedir", "filename", "path"]) ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir"]) def list_scripts(scriptdirname, extension): scripts_list = [] basedir = os.path.join(paths.script_path, scriptdirname) if os.path.exists(basedir): for filename in sorted(os.listdir(basedir)): scripts_list.append(ScriptFile(paths.script_path, filename, os.path.join(basedir, filename))) for ext in extensions.active(): scripts_list += ext.list_files(scriptdirname, extension) scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)] return scripts_list def list_files_with_name(filename): res = [] dirs = [paths.script_path] + [ext.path for ext in extensions.active()] for dirpath in dirs: if not os.path.isdir(dirpath): continue path = os.path.join(dirpath, filename) if os.path.isfile(path): res.append(path) return res def load_scripts(): global current_basedir scripts_data.clear() script_callbacks.clear_callbacks() scripts_list = list_scripts("scripts", ".py") syspath = sys.path for scriptfile in sorted(scripts_list): try: if scriptfile.basedir != paths.script_path: sys.path = [scriptfile.basedir] + sys.path current_basedir = scriptfile.basedir module = script_loading.load_module(scriptfile.path) for key, script_class in module.__dict__.items(): if type(script_class) == type and issubclass(script_class, Script): scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir)) except Exception: print(f"Error loading script: {scriptfile.filename}", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) finally: sys.path = syspath current_basedir = paths.script_path def wrap_call(func, filename, funcname, *args, default=None, **kwargs): try: res = func(*args, **kwargs) return res except Exception: print(f"Error calling: {filename}/{funcname}", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) return default class ScriptRunner: def __init__(self): self.scripts = [] self.selectable_scripts = [] self.alwayson_scripts = [] self.titles = [] self.infotext_fields = [] def setup_ui(self, is_img2img): for script_class, path, basedir in scripts_data: script = script_class() script.filename = path visibility = script.show(is_img2img) if visibility == AlwaysVisible: self.scripts.append(script) self.alwayson_scripts.append(script) script.alwayson = True elif visibility: self.scripts.append(script) self.selectable_scripts.append(script) self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts] inputs = [None] inputs_alwayson = [True] def create_script_ui(script, inputs, inputs_alwayson): script.args_from = len(inputs) script.args_to = len(inputs) controls = wrap_call(script.ui, script.filename, "ui", is_img2img) if controls is None: return for control in controls: control.custom_script_source = os.path.basename(script.filename) if script.infotext_fields is not None: self.infotext_fields += script.infotext_fields inputs += controls inputs_alwayson += [script.alwayson for _ in controls] script.args_to = len(inputs) for script in self.alwayson_scripts: with gr.Group() as group: create_script_ui(script, inputs, inputs_alwayson) script.group = group dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index") dropdown.save_to_config = True inputs[0] = dropdown for script in self.selectable_scripts: with gr.Group(visible=False) as group: create_script_ui(script, inputs, inputs_alwayson) script.group = group def select_script(script_index): selected_script = self.selectable_scripts[script_index - 1] if script_index>0 else None return [gr.update(visible=selected_script == s) for s in self.selectable_scripts] def init_field(title): """called when an initial value is set from ui-config.json to show script's UI components""" if title == 'None': return script_index = self.titles.index(title) self.selectable_scripts[script_index].group.visible = True dropdown.init_field = init_field dropdown.change( fn=select_script, inputs=[dropdown], outputs=[script.group for script in self.selectable_scripts] ) return inputs def run(self, p: StableDiffusionProcessing, *args): script_index = args[0] if script_index == 0: return None script = self.selectable_scripts[script_index-1] if script is None: return None script_args = args[script.args_from:script.args_to] processed = script.run(p, *script_args) shared.total_tqdm.clear() return processed def process(self, p): for script in self.alwayson_scripts: try: script_args = p.script_args[script.args_from:script.args_to] script.process(p, *script_args) except Exception: print(f"Error running process: {script.filename}", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) def process_batch(self, p, **kwargs): for script in self.alwayson_scripts: try: script_args = p.script_args[script.args_from:script.args_to] script.process_batch(p, *script_args, **kwargs) except Exception: print(f"Error running process_batch: {script.filename}", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) def postprocess(self, p, processed): for script in self.alwayson_scripts: try: script_args = p.script_args[script.args_from:script.args_to] script.postprocess(p, processed, *script_args) except Exception: print(f"Error running postprocess: {script.filename}", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) def reload_sources(self, cache): for si, script in list(enumerate(self.scripts)): args_from = script.args_from args_to = script.args_to filename = script.filename module = cache.get(filename, None) if module is None: module = script_loading.load_module(script.filename) cache[filename] = module for key, script_class in module.__dict__.items(): if type(script_class) == type and issubclass(script_class, Script): self.scripts[si] = script_class() self.scripts[si].filename = filename self.scripts[si].args_from = args_from self.scripts[si].args_to = args_to scripts_txt2img = ScriptRunner() scripts_img2img = ScriptRunner() def reload_script_body_only(): cache = {} scripts_txt2img.reload_sources(cache) scripts_img2img.reload_sources(cache) def reload_scripts(): global scripts_txt2img, scripts_img2img load_scripts() scripts_txt2img = ScriptRunner() scripts_img2img = ScriptRunner()