stable-diffusion-webui/modules/scripts.py

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import os
import sys
import traceback
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import modules.ui as ui
import gradio as gr
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from modules.processing import StableDiffusionProcessing
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from modules import shared
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class Script:
filename = None
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args_from = None
args_to = None
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# The title of the script. This is what will be displayed in the dropdown menu.
def title(self):
raise NotImplementedError()
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# How the script is displayed in the UI. See https://gradio.app/docs/#components
# for the different UI components you can use and how to create them.
# Most UI components can return a value, such as a boolean for a checkbox.
# The returned values are passed to the run method as parameters.
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def ui(self, is_img2img):
pass
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# Determines when the script should be shown in the dropdown menu via the
# returned value. As an example:
# is_img2img is True if the current tab is img2img, and False if it is txt2img.
# Thus, return is_img2img to only show the script on the img2img tab.
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def show(self, is_img2img):
return True
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# This is where the additional processing is implemented. The parameters include
# self, the model object "p" (a StableDiffusionProcessing class, see
# processing.py), and the parameters returned by the ui method.
# Custom functions can be defined here, and additional libraries can be imported
# to be used in processing. The return value should be a Processed object, which is
# what is returned by the process_images method.
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def run(self, *args):
raise NotImplementedError()
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# The description method is currently unused.
# To add a description that appears when hovering over the title, amend the "titles"
# dict in script.js to include the script title (returned by title) as a key, and
# your description as the value.
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def describe(self):
return ""
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scripts_data = []
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def load_scripts(basedir):
if not os.path.exists(basedir):
return
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for filename in sorted(os.listdir(basedir)):
path = os.path.join(basedir, filename)
if os.path.splitext(path)[1].lower() != '.py':
continue
if not os.path.isfile(path):
continue
try:
with open(path, "r", encoding="utf8") as file:
text = file.read()
from types import ModuleType
compiled = compile(text, path, 'exec')
module = ModuleType(filename)
exec(compiled, module.__dict__)
for key, script_class in module.__dict__.items():
if type(script_class) == type and issubclass(script_class, Script):
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scripts_data.append((script_class, path))
except Exception:
print(f"Error loading script: {filename}", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
try:
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res = func(*args, **kwargs)
return res
except Exception:
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print(f"Error calling: {filename}/{funcname}", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
return default
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class ScriptRunner:
def __init__(self):
self.scripts = []
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self.titles = []
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def setup_ui(self, is_img2img):
for script_class, path in scripts_data:
script = script_class()
script.filename = path
if not script.show(is_img2img):
continue
self.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.scripts]
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dropdown = gr.Dropdown(label="Script", choices=["None"] + self.titles, value="None", type="index")
dropdown.save_to_config = True
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inputs = [dropdown]
for script in self.scripts:
script.args_from = len(inputs)
script.args_to = len(inputs)
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controls = wrap_call(script.ui, script.filename, "ui", is_img2img)
if controls is None:
continue
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for control in controls:
control.custom_script_source = os.path.basename(script.filename)
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control.visible = False
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inputs += controls
script.args_to = len(inputs)
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def select_script(script_index):
if 0 < script_index <= len(self.scripts):
script = self.scripts[script_index-1]
args_from = script.args_from
args_to = script.args_to
else:
args_from = 0
args_to = 0
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return [ui.gr_show(True if i == 0 else args_from <= i < args_to) for i in range(len(inputs))]
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def init_field(title):
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if title == 'None':
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return
script_index = self.titles.index(title)
script = self.scripts[script_index]
for i in range(script.args_from, script.args_to):
inputs[i].visible = True
dropdown.init_field = init_field
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dropdown.change(
fn=select_script,
inputs=[dropdown],
outputs=inputs
)
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return inputs
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def run(self, p: StableDiffusionProcessing, *args):
script_index = args[0]
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if script_index == 0:
return None
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script = self.scripts[script_index-1]
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if script is None:
return None
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script_args = args[script.args_from:script.args_to]
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 reload_sources(self):
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for si, script in list(enumerate(self.scripts)):
with open(script.filename, "r", encoding="utf8") as file:
args_from = script.args_from
args_to = script.args_to
filename = script.filename
text = file.read()
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from types import ModuleType
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compiled = compile(text, filename, 'exec')
module = ModuleType(script.filename)
exec(compiled, module.__dict__)
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
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scripts_txt2img = ScriptRunner()
scripts_img2img = ScriptRunner()
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def reload_script_body_only():
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scripts_txt2img.reload_sources()
scripts_img2img.reload_sources()
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def reload_scripts(basedir):
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global scripts_txt2img, scripts_img2img
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scripts_data.clear()
load_scripts(basedir)
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scripts_txt2img = ScriptRunner()
scripts_img2img = ScriptRunner()