mirror of
https://github.com/Zyin055/Config-Presets.git
synced 2026-03-09 23:30:03 +00:00
318de88d00
Removed ast and replaced with json, ast uses eval, not safe Used a dictionary as a map and a Constant as a settings area
170 lines
9.1 KiB
Python
170 lines
9.1 KiB
Python
import modules.scripts
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import gradio as gr
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import json
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import os
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import platform
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import subprocess as sp
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#Acts like settings for components
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AVAILABLE_COMPONENTS = [
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"Sampling Steps",
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"Sampling method",
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"Width",
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"Height",
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"Highres. fix",
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"Denoising strength",
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"Batch count",
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"Batch size",
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"CFG Scale",
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"Seed",
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]
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#ui_steps = None # "steps" component in ui.py:635, label='Sampling Steps'
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#ui_sampler_index = None # "steps" component in ui.py:636, label='Sampling method'
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#ui_width = None # "width" component in ui.py:639, label='Width'
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#ui_height = None # "height" component in ui.py:640, label='Height'
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#ui_enable_hr = None # "enable_hr" component in ui.py:645,label='Highres. fix'
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#ui_denoising_strength = None # "denoising_strength" component in ui.py:650, label='Denoising strength'
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#ui_batch_count = None # "batch_count" component in ui.py:653, label='Batch count'
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#ui_batch_size = None # "batch_size" component in ui.py:654, label='Batch size'
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#ui_cfg_scale = None # "cfg_scale" component in ui.py:656, label='CFG Scale'
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class Script(modules.scripts.Script):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.component_map = {k:None for k in AVAILABLE_COMPONENTS}
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self.basedir = modules.scripts.basedir() #C:\Stable Diffusion\extensions\Config-Presets
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#Load config from file
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try:
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with open(f"{self.basedir}/extensions\\Config-Presets\\config.json") as file:
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self.config_presets = json.load(file)
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except FileNotFoundError:
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print(f"[ERROR] Config Presets: Could not find config file at '{self.basedir}/extensions\\Config-Presets\\config.json'. The Config Presets dropdown will not work!")
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def title(self):
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return "Config Presets"
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def show(self, is_img2img):
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#return True
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return modules.scripts.AlwaysVisible # hide this script in the Scripts dropdown
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def after_component(self, component, **kwargs):
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# Getting tricky using try block instead of `if label in dict`
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try:
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self.component_map[component.label]
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self.component_map[component.label] = component
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except KeyError:
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# Not the component we're looking for, not a real error, pass
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pass
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#if component.elem_id == "script_list": #bottom of the script dropdown
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#if component.elem_id == "txt2img_style2_index": #doesn't work, need to be added after all the components we edit are loaded
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if component.elem_id == "open_folder": #bottom of the image gallery
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preset_values = []
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for k in self.config_presets:
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preset_values.append(k)
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#print(f"Config Presets: added \"{k}\"")
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with gr.Column(scale=9):
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def config_preset_dropdown_change(dropdown_value):
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config_preset = self.config_presets[dropdown_value]
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print(f"Config Presets: changed to {dropdown_value}")
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if self.component_map["Highres. fix"]:
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#if we are text2img highres fix gets a component, if it's None still, continue
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return (config_preset["steps"] if "steps" in config_preset else self.component_map["Sampling Steps"].value,
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config_preset["sampler_index"] if "sampler_index" in config_preset else self.component_map["Sampling method"].value,
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config_preset["width"] if "width" in config_preset else self.component_map["Width"].value,
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config_preset["height"] if "height" in config_preset else self.component_map["Height"].value,
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config_preset["enable_hr"] if "enable_hr" in config_preset else self.component_map["Highres. fix"].value,
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config_preset["denoising_strength"] if "denoising_strength" in config_preset else self.component_map["Denoising strength"].value,
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config_preset["batch_count"] if "batch_count" in config_preset else self.component_map["Batch count"].value,
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config_preset["batch_size"] if "batch_size" in config_preset else self.component_map["Batch size"].value,
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config_preset["cfg_scale"] if "cfg_scale" in config_preset else self.component_map["CFG Scale"].value
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)
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else:
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# if we are img2img highres fix component is empty
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return (config_preset["steps"] if "steps" in config_preset else self.component_map["Sampling Steps"].value,
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config_preset["sampler_index"] if "sampler_index" in config_preset else self.component_map["Sampling method"].value,
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config_preset["width"] if "width" in config_preset else self.component_map["Width"].value,
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config_preset["height"] if "height" in config_preset else self.component_map["Height"].value,
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#config_preset["enable_hr"] if "enable_hr" in config_preset else self.component_map["Highres. fix"].value,
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config_preset["denoising_strength"] if "denoising_strength" in config_preset else self.component_map["Denoising strength"].value,
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config_preset["batch_count"] if "batch_count" in config_preset else self.component_map["Batch count"].value,
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config_preset["batch_size"] if "batch_size" in config_preset else self.component_map["Batch size"].value,
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config_preset["cfg_scale"] if "cfg_scale" in config_preset else self.component_map["CFG Scale"].value
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)
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config_preset_dropdown = gr.Dropdown(
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label="Config Presets",
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choices=preset_values,
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elem_id="config_preset_dropdown",
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)
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config_preset_dropdown.style(container=False) #set to True to give it a white box to sit in
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if self.component_map["Highres. fix"]:
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config_preset_dropdown.change(
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fn=config_preset_dropdown_change,
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show_progress=False,
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inputs=[config_preset_dropdown],
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#outputs=[ui_steps, ui_sampler_index, ui_width, ui_height, ui_enable_hr, ui_denoising_strength, ui_batch_count, ui_batch_size, ui_cfg_scale],
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outputs = [self.component_map["Sampling Steps"],self.component_map["Sampling method"],self.component_map["Width"],self.component_map["Height"],self.component_map["Highres. fix"],self.component_map["Denoising strength"],self.component_map["Batch count"],self.component_map["Batch size"],self.component_map["CFG Scale"]]
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)
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else:
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config_preset_dropdown.change(
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fn=config_preset_dropdown_change,
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show_progress=False,
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inputs=[config_preset_dropdown],
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#outputs = list([self.component_map[e] for e in AVAILABLE_COMPONENTS if e != "Seeds" and e != "Highres. fix"]) # **** LIST COMPS FAIL W/ GRADIO'S IN/OUTPUTS
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outputs = [self.component_map["Sampling Steps"],self.component_map["Sampling method"],self.component_map["Width"],self.component_map["Height"],self.component_map["Denoising strength"],self.component_map["Batch count"],self.component_map["Batch size"],self.component_map["CFG Scale"]]
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)
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config_preset_dropdown.change(
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fn=None,
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inputs=[],
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outputs=[],
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_js="function() { config_preset_dropdown_change() }",
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)
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with gr.Column(scale=1, min_width=30):
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def open_file(f):
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path = os.path.normpath(f)
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if not os.path.exists(path):
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print(f'Config Presets: The file at "{path}" does not exist.')
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return
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# copied from ui.py:538
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if platform.system() == "Windows":
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os.startfile(path)
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elif platform.system() == "Darwin":
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sp.Popen(["open", path])
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else:
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sp.Popen(["xdg-open", path])
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#print(f"modules.scripts.basedir()={modules.scripts.basedir()}") # base SD folder
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open_config_file_button = gr.Button( #tooltip is set in javascript/config_presets.js
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value="Edit...",
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elem_id="config_presets_open_config_file_button"
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)
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open_config_file_button.click(
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fn=lambda: open_file(f"{self.basedir}extensions\\Config-Presets\\config.json"),
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inputs=[],
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outputs=[],
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)
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def ui(self, is_img2img):
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pass
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def run(self, p, *args):
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pass
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