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import modules.scripts as scripts
import gradio as gr
from modules.processing import Processed
from modules.shared import opts, cmd_opts, state
# An example custom script that allows you to make modifications to how the model object is handled.
# These scripts appear in the lower-left dropdown menu on the txt2img and img2img tabs.
class Script(scripts.Script):
# The title of the script. This is what will be displayed in the dropdown menu.
def title(self):
return "Custom code"
# Determines when the script should be shown in the dropdown menu via the returned value.
# 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.
def show(self, is_img2img):
return cmd_opts.allow_code
# How the script's is displayed in the UI. See https://gradio.app/docs/#components
# for the different elements you can use and how to specify them.
# Each UI element can return a value, such as a boolean for a checkbox.
# The returned values are passed to the run method as parameters.
def ui(self, is_img2img):
code = gr.Textbox(label="Python code", visible=False, lines=1)
return [code]
# This is where the additional processing is implemented. The parameters include self, the
# model object (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.
def run(self, p, code):
assert cmd_opts.allow_code, '--allow-code option must be enabled'
display_result_data = [[], -1, ""]
def display(imgs, s=display_result_data[1], i=display_result_data[2]):
display_result_data[0] = imgs
display_result_data[1] = s
display_result_data[2] = i
from types import ModuleType
compiled = compile(code, '', 'exec')
module = ModuleType("testmodule")
module.__dict__.update(globals())
module.p = p
module.display = display
exec(compiled, module.__dict__)
return Processed(p, *display_result_data)
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