pass samplers from UI by name, make it possible to use a sampler from infotext even if it's hidden in the dropdown
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ae1bde1aa1
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70c63c1208
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@ -6,7 +6,7 @@ import numpy as np
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from PIL import Image, ImageOps, ImageFilter, ImageEnhance, UnidentifiedImageError
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import gradio as gr
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from modules import sd_samplers, images as imgutil
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from modules import images as imgutil
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from modules.generation_parameters_copypaste import create_override_settings_dict, parse_generation_parameters
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from modules.processing import Processed, StableDiffusionProcessingImg2Img, process_images
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from modules.shared import opts, state
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@ -116,7 +116,7 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=Fal
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process_images(p)
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def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, img2img_batch_use_png_info: bool, img2img_batch_png_info_props: list, img2img_batch_png_info_dir: str, request: gr.Request, *args):
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def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_name: str, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, img2img_batch_use_png_info: bool, img2img_batch_png_info_props: list, img2img_batch_png_info_dir: str, request: gr.Request, *args):
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override_settings = create_override_settings_dict(override_settings_texts)
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is_batch = mode == 5
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@ -172,7 +172,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
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seed_resize_from_h=seed_resize_from_h,
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seed_resize_from_w=seed_resize_from_w,
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seed_enable_extras=seed_enable_extras,
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sampler_name=sd_samplers.samplers_for_img2img[sampler_index].name,
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sampler_name=sampler_name,
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batch_size=batch_size,
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n_iter=n_iter,
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steps=steps,
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@ -12,6 +12,7 @@ all_samplers_map = {x.name: x for x in all_samplers}
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samplers = []
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samplers_for_img2img = []
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samplers_map = {}
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samplers_hidden = {}
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def find_sampler_config(name):
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@ -38,11 +39,11 @@ def create_sampler(name, model):
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def set_samplers():
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global samplers, samplers_for_img2img
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global samplers, samplers_for_img2img, samplers_hidden
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hidden = set(shared.opts.hide_samplers)
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samplers = [x for x in all_samplers if x.name not in hidden]
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samplers_for_img2img = [x for x in all_samplers if x.name not in hidden]
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samplers_hidden = set(shared.opts.hide_samplers)
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samplers = all_samplers
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samplers_for_img2img = all_samplers
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samplers_map.clear()
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for sampler in all_samplers:
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@ -51,4 +52,8 @@ def set_samplers():
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samplers_map[alias.lower()] = sampler.name
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def visible_sampler_names():
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return [x.name for x in samplers if x.name not in samplers_hidden]
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set_samplers()
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@ -1,7 +1,7 @@
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from contextlib import closing
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import modules.scripts
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from modules import sd_samplers, processing
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from modules import processing
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from modules.generation_parameters_copypaste import create_override_settings_dict
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from modules.shared import opts, cmd_opts
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import modules.shared as shared
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@ -9,7 +9,7 @@ from modules.ui import plaintext_to_html
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import gradio as gr
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def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, steps: int, sampler_index: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, enable_hr: bool, denoising_strength: float, hr_scale: float, hr_upscaler: str, hr_second_pass_steps: int, hr_resize_x: int, hr_resize_y: int, hr_checkpoint_name: str, hr_sampler_index: int, hr_prompt: str, hr_negative_prompt, override_settings_texts, request: gr.Request, *args):
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def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, steps: int, sampler_name: str, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, enable_hr: bool, denoising_strength: float, hr_scale: float, hr_upscaler: str, hr_second_pass_steps: int, hr_resize_x: int, hr_resize_y: int, hr_checkpoint_name: str, hr_sampler_name: str, hr_prompt: str, hr_negative_prompt, override_settings_texts, request: gr.Request, *args):
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override_settings = create_override_settings_dict(override_settings_texts)
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p = processing.StableDiffusionProcessingTxt2Img(
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@ -25,7 +25,7 @@ def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, step
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seed_resize_from_h=seed_resize_from_h,
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seed_resize_from_w=seed_resize_from_w,
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seed_enable_extras=seed_enable_extras,
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sampler_name=sd_samplers.samplers[sampler_index].name,
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sampler_name=sampler_name,
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batch_size=batch_size,
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n_iter=n_iter,
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steps=steps,
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@ -42,7 +42,7 @@ def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, step
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hr_resize_x=hr_resize_x,
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hr_resize_y=hr_resize_y,
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hr_checkpoint_name=None if hr_checkpoint_name == 'Use same checkpoint' else hr_checkpoint_name,
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hr_sampler_name=sd_samplers.samplers_for_img2img[hr_sampler_index - 1].name if hr_sampler_index != 0 else None,
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hr_sampler_name=hr_sampler_name,
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hr_prompt=hr_prompt,
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hr_negative_prompt=hr_negative_prompt,
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override_settings=override_settings,
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@ -13,7 +13,7 @@ from PIL import Image, PngImagePlugin # noqa: F401
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from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
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from modules import gradio_extensons # noqa: F401
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from modules import sd_hijack, sd_models, script_callbacks, ui_extensions, deepbooru, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors, shared_items, ui_settings, timer, sysinfo, ui_checkpoint_merger, ui_prompt_styles, scripts
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from modules import sd_hijack, sd_models, script_callbacks, ui_extensions, deepbooru, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors, shared_items, ui_settings, timer, sysinfo, ui_checkpoint_merger, ui_prompt_styles, scripts, sd_samplers
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from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
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from modules.paths import script_path
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from modules.ui_common import create_refresh_button
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@ -29,7 +29,6 @@ import modules.shared as shared
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import modules.images
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from modules import prompt_parser
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from modules.sd_hijack import model_hijack
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from modules.sd_samplers import samplers, samplers_for_img2img
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from modules.generation_parameters_copypaste import image_from_url_text
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create_setting_component = ui_settings.create_setting_component
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@ -360,14 +359,14 @@ def create_output_panel(tabname, outdir):
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def create_sampler_and_steps_selection(choices, tabname):
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if opts.samplers_in_dropdown:
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with FormRow(elem_id=f"sampler_selection_{tabname}"):
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sampler_index = gr.Dropdown(label='Sampling method', elem_id=f"{tabname}_sampling", choices=[x.name for x in choices], value=choices[0].name, type="index")
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sampler_name = gr.Dropdown(label='Sampling method', elem_id=f"{tabname}_sampling", choices=choices, value=choices[0])
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steps = gr.Slider(minimum=1, maximum=150, step=1, elem_id=f"{tabname}_steps", label="Sampling steps", value=20)
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else:
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with FormGroup(elem_id=f"sampler_selection_{tabname}"):
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steps = gr.Slider(minimum=1, maximum=150, step=1, elem_id=f"{tabname}_steps", label="Sampling steps", value=20)
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sampler_index = gr.Radio(label='Sampling method', elem_id=f"{tabname}_sampling", choices=[x.name for x in choices], value=choices[0].name, type="index")
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sampler_name = gr.Radio(label='Sampling method', elem_id=f"{tabname}_sampling", choices=choices, value=choices[0])
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return steps, sampler_index
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return steps, sampler_name
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def ordered_ui_categories():
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@ -414,7 +413,7 @@ def create_ui():
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for category in ordered_ui_categories():
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if category == "sampler":
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steps, sampler_index = create_sampler_and_steps_selection(samplers, "txt2img")
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steps, sampler_name = create_sampler_and_steps_selection(sd_samplers.visible_sampler_names(), "txt2img")
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elif category == "dimensions":
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with FormRow():
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@ -460,7 +459,7 @@ def create_ui():
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hr_checkpoint_name = gr.Dropdown(label='Hires checkpoint', elem_id="hr_checkpoint", choices=["Use same checkpoint"] + modules.sd_models.checkpoint_tiles(use_short=True), value="Use same checkpoint")
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create_refresh_button(hr_checkpoint_name, modules.sd_models.list_models, lambda: {"choices": ["Use same checkpoint"] + modules.sd_models.checkpoint_tiles(use_short=True)}, "hr_checkpoint_refresh")
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hr_sampler_index = gr.Dropdown(label='Hires sampling method', elem_id="hr_sampler", choices=["Use same sampler"] + [x.name for x in samplers_for_img2img], value="Use same sampler", type="index")
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hr_sampler_name = gr.Dropdown(label='Hires sampling method', elem_id="hr_sampler", choices=["Use same sampler"] + sd_samplers.visible_sampler_names(), value="Use same sampler")
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with FormRow(elem_id="txt2img_hires_fix_row4", variant="compact", visible=opts.hires_fix_show_prompts) as hr_prompts_container:
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with gr.Column(scale=80):
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@ -520,7 +519,7 @@ def create_ui():
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toprow.negative_prompt,
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toprow.ui_styles.dropdown,
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steps,
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sampler_index,
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sampler_name,
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restore_faces,
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tiling,
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batch_count,
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@ -538,7 +537,7 @@ def create_ui():
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hr_resize_x,
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hr_resize_y,
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hr_checkpoint_name,
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hr_sampler_index,
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hr_sampler_name,
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hr_prompt,
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hr_negative_prompt,
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override_settings,
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@ -583,7 +582,7 @@ def create_ui():
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(toprow.prompt, "Prompt"),
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(toprow.negative_prompt, "Negative prompt"),
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(steps, "Steps"),
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(sampler_index, "Sampler"),
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(sampler_name, "Sampler"),
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(restore_faces, "Face restoration"),
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(cfg_scale, "CFG scale"),
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(seed, "Seed"),
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@ -605,7 +604,7 @@ def create_ui():
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(hr_resize_x, "Hires resize-1"),
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(hr_resize_y, "Hires resize-2"),
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(hr_checkpoint_name, "Hires checkpoint"),
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(hr_sampler_index, "Hires sampler"),
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(hr_sampler_name, "Hires sampler"),
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(hr_sampler_container, lambda d: gr.update(visible=True) if d.get("Hires sampler", "Use same sampler") != "Use same sampler" or d.get("Hires checkpoint", "Use same checkpoint") != "Use same checkpoint" else gr.update()),
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(hr_prompt, "Hires prompt"),
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(hr_negative_prompt, "Hires negative prompt"),
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@ -621,7 +620,7 @@ def create_ui():
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toprow.prompt,
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toprow.negative_prompt,
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steps,
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sampler_index,
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sampler_name,
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cfg_scale,
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seed,
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width,
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@ -744,7 +743,7 @@ def create_ui():
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for category in ordered_ui_categories():
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if category == "sampler":
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steps, sampler_index = create_sampler_and_steps_selection(samplers_for_img2img, "img2img")
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steps, sampler_name = create_sampler_and_steps_selection(sd_samplers.visible_sampler_names(), "img2img")
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elif category == "dimensions":
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with FormRow():
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@ -876,7 +875,7 @@ def create_ui():
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init_img_inpaint,
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init_mask_inpaint,
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steps,
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sampler_index,
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sampler_name,
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mask_blur,
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mask_alpha,
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inpainting_fill,
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@ -972,7 +971,7 @@ def create_ui():
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(toprow.prompt, "Prompt"),
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(toprow.negative_prompt, "Negative prompt"),
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(steps, "Steps"),
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(sampler_index, "Sampler"),
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(sampler_name, "Sampler"),
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(restore_faces, "Face restoration"),
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(cfg_scale, "CFG scale"),
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(image_cfg_scale, "Image CFG scale"),
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