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https://github.com/Zyin055/Config-Presets.git
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21
LICENSE
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21
LICENSE
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MIT License
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Copyright (c) 2022 Zyin055
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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19
README.md
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README.md
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## What does this do?
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This Automatic1111 extension adds a configurable dropdown to allow you to change settings in the txt2img and img2img tabs of the Web UI.
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## Screenshots
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The new dropdown in the image gallery
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Dropdown values (configurable)
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Screenshot of config_presets.json
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## Installation
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* In your Automatic1111 Web UI, go to the Extensions tab > Install from URL > URL for extension's git repository: https://github.com/Zyin055/Config-Presets
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* Click the Install button
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59
config.json
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59
config.json
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{
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"Default" : {
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},
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"Low quality ------ 512x512, steps: 10, batch size: 8, DPM++ 2M Karras" : {
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"steps": 10,
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"sampler_index": "DPM++ 2M Karras",
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"width": 512,
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"height": 512,
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"enable_hr": False,
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"denoising_strength": 0.7,
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"batch_count": 1,
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"batch_size": 8,
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"cfg_scale": 7,
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},
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"Medium quality - 512x512, steps: 20, batch size: 8, DPM++ 2S a Karras" : {
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"steps": 20,
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"sampler_index": "DPM++ 2S a Karras",
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"width": 512,
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"height": 512,
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"enable_hr": False,
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"denoising_strength": 0.7,
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"batch_count": 1,
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"batch_size": 8,
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"cfg_scale": 7,
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},
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"High quality ------ 512x512, steps: 40, batch size: 8, DPM++ 2S a Karras" : {
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"steps": 40,
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"sampler_index": "DPM++ 2S a Karras",
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"width": 512,
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"height": 512,
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"enable_hr": False,
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"denoising_strength": 0.7,
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"batch_count": 1,
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"batch_size": 8,
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"cfg_scale": 7,
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},
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"High res -------- 1024x1024, steps: 30, batch size: 1, DPM++ 2M Karras, Highres fix, Denoising: 0.4" : {
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"steps": 30,
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"sampler_index": "DPM++ 2M Karras",
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"width": 1024,
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"height": 1024,
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"enable_hr": True,
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"denoising_strength": 0.4,
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"batch_count": 1,
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"batch_size": 1,
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"cfg_scale": 7,
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},
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"Wallpaper ----- 1920x1088, steps: 30, batch size: 1, DPM++ 2M Karras, Highres fix, Denoising: 0.3" : {
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"steps": 30,
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"sampler_index": "DPM++ 2M Karras",
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"width": 1920,
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"height": 1088,
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"enable_hr": True,
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"denoising_strength": 0.3,
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"batch_count": 1,
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"batch_size": 1,
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"cfg_scale": 7,
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},
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}
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23
javascript/config_presets.js
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javascript/config_presets.js
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//add tooltip by piggybacking off of javascript/hints.js
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//titles["Edit..."] = "[Config Presets] open config.json"
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//or do it our more precise way
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onUiUpdate(function() {
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//set tooltips
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gradioApp().querySelectorAll("#config_presets_open_config_file_button").forEach(el => el.setAttribute("title", "[Config Presets] open config.json, requires Gradio restart after editing"))
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})
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//change() event called by config_preset_dropdown in config_presets.py
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function config_preset_dropdown_change() {
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//when Python changes the enable_hr checkbox in config_preset_dropdown_change() it doesn't fire off the change() JS event, so do this manually
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//there is a race condition between the checkbox being checked in Python, and us firing its change event in JavaScript, so wait a bit before firing the event
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setTimeout(function() {
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//the "Highres. fix" checkbox has no easy way to identify it, so use its tooltip attribute on the neighboring element
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let highresCheckbox = gradioApp().querySelector("label > span[title='Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition'").parentElement.firstChild
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let e = document.createEvent("HTMLEvents")
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e.initEvent("change", true, false)
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highresCheckbox.dispatchEvent(e)
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}, 200) //50ms is too fast
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}
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178
scripts/config_presets.py
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scripts/config_presets.py
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# Config Presets script for Automatic1111
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# Last updated: 12/13/2022
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# Author: Zyin
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import modules.scripts
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import gradio as gr
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import ast
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import os
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import platform
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import subprocess as sp
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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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#print(f"global modules.scripts.basedir()={modules.scripts.basedir()}")
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basedir = modules.scripts.basedir() #C:\Stable Diffusion\extensions\Config-Presets
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# Load config from file
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config_presets = {}
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try:
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with open(f"{basedir}/config.json") as file:
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config_presets = ast.literal_eval(file.read())
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#print("Config Presets: loaded config file 'config.json'")
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except FileNotFoundError:
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print(f"[ERROR] Config Presets: Could not find config file at '{basedir}/config.json'. The Config Presets dropdown will not work!")
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class Script(modules.scripts.Script):
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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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global ui_steps
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global ui_sampler_index
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global ui_width
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global ui_height
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global ui_enable_hr
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global ui_denoising_strength
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global ui_batch_count
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global ui_batch_size
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global ui_cfg_scale
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# Since we can't get direct access to component variables in ui.py, we detect and save an old reference to them here.
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if isinstance(component, gr.components.Slider):
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if component.label == "Sampling Steps":
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ui_steps = component
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#print(f"found ui_steps component: {type(component)}")
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elif component.label == "Width":
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ui_width = component
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#print(f"found ui_width component: {type(component)}")
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elif component.label == "Height":
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ui_height = component
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#print(f"found ui_height component: {type(component)}")
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elif component.label == "Denoising strength":
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ui_denoising_strength = component
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#print(f"found ui_denoising_strength component: {type(component)}")
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elif component.label == "Batch count":
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ui_batch_count = component
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#print(f"found ui_batch_count component: {type(component)}")
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elif component.label == "Batch size":
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ui_batch_size = component
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#print(f"found ui_batch_size component: {type(component)}")
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elif component.label == "CFG Scale":
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ui_cfg_scale = component
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#print(f"found ui_cfg_scale component: {type(component)}")
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elif isinstance(component, gr.components.Checkbox):
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if component.label == "Highres. fix":
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ui_enable_hr = component
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#print(f"found ui_enable_hr component: {type(component)}")
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elif isinstance(component, gr.components.Radio):
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if component.label == "Sampling method":
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ui_sampler_index = component
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#print(f"found ui_sampler_index component: {type(component)}")
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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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global config_presets
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preset_values = []
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for k in 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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global config_presets
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config_preset = config_presets[dropdown_value]
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print(f"Config Presets: changed to {dropdown_value}")
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# return config_dict["steps"] if "steps" in config_dict else 20,\
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# config_dict["sampler_index"] if "sampler_index" in config_dict else "Euler a",\
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# config_dict["width"] if "width" in config_dict else 512,\
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# config_dict["height"] if "height" in config_dict else 512,\
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# config_dict["enable_hr"] if "enable_hr" in config_dict else False,\
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# config_dict["denoising_strength"] if "denoising_strength" in config_dict else 0.7,\
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# config_dict["batch_count"] if "batch_count" in config_dict else 1,\
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# config_dict["batch_size"] if "batch_size" in config_dict else 1,\
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# config_dict["cfg_scale"] if "cfg_scale" in config_dict else 7,\
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# I couldn't find a way to get up-to-date values from the UI elements, so instead we just use the default values if something is missing from the config file
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return config_preset["steps"] if "steps" in config_preset else ui_steps.value,\
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config_preset["sampler_index"] if "sampler_index" in config_preset else ui_sampler_index.value,\
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config_preset["width"] if "width" in config_preset else ui_width.value,\
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config_preset["height"] if "height" in config_preset else ui_height.value,\
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config_preset["enable_hr"] if "enable_hr" in config_preset else ui_enable_hr.value,\
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config_preset["denoising_strength"] if "denoising_strength" in config_preset else ui_denoising_strength.value,\
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config_preset["batch_count"] if "batch_count" in config_preset else ui_batch_count.value,\
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config_preset["batch_size"] if "batch_size" in config_preset else ui_batch_size.value,\
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config_preset["cfg_scale"] if "cfg_scale" in config_preset else ui_cfg_scale.value,\
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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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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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)
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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"{basedir}\\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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