mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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373 lines
12 KiB
Python
373 lines
12 KiB
Python
import os
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import sys
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import traceback
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from collections import namedtuple
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import modules.ui as ui
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import gradio as gr
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from modules.processing import StableDiffusionProcessing
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from modules import shared, paths, script_callbacks, extensions
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AlwaysVisible = object()
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class Script:
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filename = None
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args_from = None
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args_to = None
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alwayson = False
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"""A gr.Group component that has all script's UI inside it"""
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group = None
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infotext_fields = None
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"""if set in ui(), this is a list of pairs of gradio component + text; the text will be used when
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parsing infotext to set the value for the component; see ui.py's txt2img_paste_fields for an example
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"""
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def title(self):
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"""this function should return the title of the script. This is what will be displayed in the dropdown menu."""
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raise NotImplementedError()
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def ui(self, is_img2img):
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"""this function should create gradio UI elements. See https://gradio.app/docs/#components
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The return value should be an array of all components that are used in processing.
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Values of those returned componenbts will be passed to run() and process() functions.
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"""
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pass
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def show(self, is_img2img):
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"""
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is_img2img is True if this function is called for the img2img interface, and Fasle otherwise
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This function should return:
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- False if the script should not be shown in UI at all
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- True if the script should be shown in UI if it's scelected in the scripts drowpdown
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- script.AlwaysVisible if the script should be shown in UI at all times
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"""
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return True
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def run(self, p, *args):
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"""
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This function is called if the script has been selected in the script dropdown.
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It must do all processing and return the Processed object with results, same as
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one returned by processing.process_images.
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Usually the processing is done by calling the processing.process_images function.
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args contains all values returned by components from ui()
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"""
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raise NotImplementedError()
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def process(self, p, *args):
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"""
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This function is called before processing begins for AlwaysVisible scripts.
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You can modify the processing object (p) here, inject hooks, etc.
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args contains all values returned by components from ui()
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"""
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pass
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def process_batch(self, p, *args, **kwargs):
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"""
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Same as process(), but called for every batch.
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**kwargs will have those items:
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- batch_number - index of current batch, from 0 to number of batches-1
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- prompts - list of prompts for current batch; you can change contents of this list but changing the number of entries will likely break things
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- seeds - list of seeds for current batch
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- subseeds - list of subseeds for current batch
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"""
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pass
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def postprocess(self, p, processed, *args):
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"""
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This function is called after processing ends for AlwaysVisible scripts.
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args contains all values returned by components from ui()
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"""
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pass
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def describe(self):
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"""unused"""
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return ""
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current_basedir = paths.script_path
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def basedir():
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"""returns the base directory for the current script. For scripts in the main scripts directory,
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this is the main directory (where webui.py resides), and for scripts in extensions directory
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(ie extensions/aesthetic/script/aesthetic.py), this is extension's directory (extensions/aesthetic)
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"""
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return current_basedir
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scripts_data = []
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ScriptFile = namedtuple("ScriptFile", ["basedir", "filename", "path"])
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ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir"])
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def list_scripts(scriptdirname, extension):
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scripts_list = []
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basedir = os.path.join(paths.script_path, scriptdirname)
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if os.path.exists(basedir):
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for filename in sorted(os.listdir(basedir)):
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scripts_list.append(ScriptFile(paths.script_path, filename, os.path.join(basedir, filename)))
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for ext in extensions.active():
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scripts_list += ext.list_files(scriptdirname, extension)
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scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
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return scripts_list
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def list_files_with_name(filename):
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res = []
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dirs = [paths.script_path] + [ext.path for ext in extensions.active()]
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for dirpath in dirs:
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if not os.path.isdir(dirpath):
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continue
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path = os.path.join(dirpath, filename)
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if os.path.isfile(filename):
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res.append(path)
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return res
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def load_scripts():
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global current_basedir
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scripts_data.clear()
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script_callbacks.clear_callbacks()
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scripts_list = list_scripts("scripts", ".py")
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syspath = sys.path
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for scriptfile in sorted(scripts_list):
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try:
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if scriptfile.basedir != paths.script_path:
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sys.path = [scriptfile.basedir] + sys.path
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current_basedir = scriptfile.basedir
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with open(scriptfile.path, "r", encoding="utf8") as file:
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text = file.read()
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from types import ModuleType
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compiled = compile(text, scriptfile.path, 'exec')
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module = ModuleType(scriptfile.filename)
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exec(compiled, module.__dict__)
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for key, script_class in module.__dict__.items():
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if type(script_class) == type and issubclass(script_class, Script):
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scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir))
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except Exception:
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print(f"Error loading script: {scriptfile.filename}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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finally:
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sys.path = syspath
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current_basedir = paths.script_path
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def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
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try:
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res = func(*args, **kwargs)
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return res
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except Exception:
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print(f"Error calling: {filename}/{funcname}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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return default
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class ScriptRunner:
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def __init__(self):
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self.scripts = []
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self.selectable_scripts = []
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self.alwayson_scripts = []
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self.titles = []
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self.infotext_fields = []
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def setup_ui(self, is_img2img):
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for script_class, path, basedir in scripts_data:
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script = script_class()
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script.filename = path
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visibility = script.show(is_img2img)
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if visibility == AlwaysVisible:
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self.scripts.append(script)
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self.alwayson_scripts.append(script)
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script.alwayson = True
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elif visibility:
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self.scripts.append(script)
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self.selectable_scripts.append(script)
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self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts]
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inputs = [None]
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inputs_alwayson = [True]
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def create_script_ui(script, inputs, inputs_alwayson):
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script.args_from = len(inputs)
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script.args_to = len(inputs)
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controls = wrap_call(script.ui, script.filename, "ui", is_img2img)
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if controls is None:
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return
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for control in controls:
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control.custom_script_source = os.path.basename(script.filename)
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if script.infotext_fields is not None:
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self.infotext_fields += script.infotext_fields
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inputs += controls
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inputs_alwayson += [script.alwayson for _ in controls]
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script.args_to = len(inputs)
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for script in self.alwayson_scripts:
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with gr.Group() as group:
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create_script_ui(script, inputs, inputs_alwayson)
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script.group = group
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dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index")
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dropdown.save_to_config = True
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inputs[0] = dropdown
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for script in self.selectable_scripts:
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with gr.Group(visible=False) as group:
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create_script_ui(script, inputs, inputs_alwayson)
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script.group = group
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def select_script(script_index):
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selected_script = self.selectable_scripts[script_index - 1] if script_index>0 else None
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return [gr.update(visible=selected_script == s) for s in self.selectable_scripts]
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def init_field(title):
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"""called when an initial value is set from ui-config.json to show script's UI components"""
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if title == 'None':
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return
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script_index = self.titles.index(title)
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self.selectable_scripts[script_index].group.visible = True
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dropdown.init_field = init_field
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dropdown.change(
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fn=select_script,
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inputs=[dropdown],
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outputs=[script.group for script in self.selectable_scripts]
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)
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return inputs
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def run(self, p: StableDiffusionProcessing, *args):
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script_index = args[0]
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if script_index == 0:
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return None
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script = self.selectable_scripts[script_index-1]
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if script is None:
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return None
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script_args = args[script.args_from:script.args_to]
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processed = script.run(p, *script_args)
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shared.total_tqdm.clear()
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return processed
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def process(self, p):
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for script in self.alwayson_scripts:
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try:
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script_args = p.script_args[script.args_from:script.args_to]
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script.process(p, *script_args)
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except Exception:
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print(f"Error running process: {script.filename}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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def process_batch(self, p, **kwargs):
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for script in self.alwayson_scripts:
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try:
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script_args = p.script_args[script.args_from:script.args_to]
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script.process_batch(p, *script_args, **kwargs)
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except Exception:
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print(f"Error running process_batch: {script.filename}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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def postprocess(self, p, processed):
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for script in self.alwayson_scripts:
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try:
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script_args = p.script_args[script.args_from:script.args_to]
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script.postprocess(p, processed, *script_args)
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except Exception:
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print(f"Error running postprocess: {script.filename}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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def reload_sources(self, cache):
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for si, script in list(enumerate(self.scripts)):
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with open(script.filename, "r", encoding="utf8") as file:
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args_from = script.args_from
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args_to = script.args_to
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filename = script.filename
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text = file.read()
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from types import ModuleType
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module = cache.get(filename, None)
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if module is None:
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compiled = compile(text, filename, 'exec')
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module = ModuleType(script.filename)
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exec(compiled, module.__dict__)
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cache[filename] = module
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for key, script_class in module.__dict__.items():
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if type(script_class) == type and issubclass(script_class, Script):
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self.scripts[si] = script_class()
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self.scripts[si].filename = filename
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self.scripts[si].args_from = args_from
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self.scripts[si].args_to = args_to
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scripts_txt2img = ScriptRunner()
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scripts_img2img = ScriptRunner()
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def reload_script_body_only():
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cache = {}
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scripts_txt2img.reload_sources(cache)
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scripts_img2img.reload_sources(cache)
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def reload_scripts():
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global scripts_txt2img, scripts_img2img
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load_scripts()
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scripts_txt2img = ScriptRunner()
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scripts_img2img = ScriptRunner()
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