import gradio as gr
from modules import shared, modelloader, ui_symbols, ui_common, sd_samplers
from modules.logger import log
from modules.ui_components import ToolButton
from modules.caption import caption
def create_toprow(is_img2img: bool = False, id_part: str | None = None, generate_visible: bool = True, negative_visible: bool = True, reprocess_visible: bool = True):
def apply_styles(prompt, prompt_neg, styles):
prompt = shared.prompt_styles.apply_styles_to_prompt(prompt, styles, wildcards=not shared.opts.extra_networks_apply_unparsed)
prompt_neg = shared.prompt_styles.apply_negative_styles_to_prompt(prompt_neg, styles, wildcards=not shared.opts.extra_networks_apply_unparsed)
return [gr.Textbox.update(value=prompt), gr.Textbox.update(value=prompt_neg), gr.Dropdown.update(value=[])]
def parse_style(styles):
if isinstance(styles, str):
styles = [x.strip() for x in styles.split('|') if x.strip() != '']
elif isinstance(styles, list):
styles = [x.strip() for x in styles if x.strip() != '']
else:
styles = None
return styles
if id_part is None:
id_part = "img2img" if is_img2img else "txt2img"
with gr.Row(elem_id=f"{id_part}_toprow", variant="compact"):
with gr.Column(elem_id=f"{id_part}_prompt_container", scale=4):
with gr.Row():
with gr.Column(scale=80):
with gr.Row(elem_id=f"{id_part}_prompt_row"):
prompt = gr.Textbox(elem_id=f"{id_part}_prompt", label="Prompt", show_label=False, lines=3 if negative_visible else 5, placeholder="Prompt", elem_classes=["prompt", "main-prompts"])
with gr.Row():
with gr.Column(scale=80):
with gr.Row(elem_id=f"{id_part}_negative_row"):
negative_prompt = gr.Textbox(elem_id=f"{id_part}_neg_prompt", label="Negative prompt", show_label=False, lines=3, placeholder="Negative prompt", elem_classes=["prompt", "main-prompts"], visible=negative_visible)
with gr.Column(scale=1, elem_id=f"{id_part}_actions_column"):
with gr.Row(elem_id=f"{id_part}_generate_box"):
reprocess = []
submit = gr.Button('Generate', elem_id=f"{id_part}_generate", variant='primary', visible=generate_visible)
if reprocess_visible:
reprocess.append(gr.Button('Reprocess', elem_id=f"{id_part}_reprocess", variant='primary', visible=True))
reprocess.append(gr.Button('Reprocess decode', elem_id=f"{id_part}_reprocess_decode", variant='primary', visible=False))
reprocess.append(gr.Button('Reprocess refine', elem_id=f"{id_part}_reprocess_refine", variant='primary', visible=False))
reprocess.append(gr.Button('Reprocess face', elem_id=f"{id_part}_reprocess_detail", variant='primary', visible=False))
with gr.Row(elem_id=f"{id_part}_generate_line2"):
interrupt = gr.Button('Stop', elem_id=f"{id_part}_interrupt")
interrupt.click(fn=lambda: shared.state.interrupt(), _js="requestInterrupt", inputs=[], outputs=[])
skip = gr.Button('Skip', elem_id=f"{id_part}_skip")
skip.click(fn=lambda: shared.state.skip(), inputs=[], outputs=[])
pause = gr.Button('Pause', elem_id=f"{id_part}_pause")
pause.click(fn=lambda: shared.state.pause(), _js='checkPaused', inputs=[], outputs=[])
with gr.Row(elem_id=f"{id_part}_tools"):
button_paste = gr.Button(value='Restore', variant='secondary', elem_id=f"{id_part}_paste")
button_clear = gr.Button(value='Clear', variant='secondary', elem_id=f"{id_part}_clear_prompt_btn")
button_extra = gr.Button(value='Networks', variant='secondary', elem_id=f"{id_part}_extra_networks_btn")
button_clear.click(fn=lambda *x: ['', ''], inputs=[prompt, negative_prompt], outputs=[prompt, negative_prompt], show_progress='hidden')
with gr.Row(elem_id=f"{id_part}_counters"):
token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{id_part}_token_counter", elem_classes=["token-counter"], visible=False)
token_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
negative_token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{id_part}_negative_token_counter", elem_classes=["token-counter"], visible=False)
negative_token_button = gr.Button(visible=False, elem_id=f"{id_part}_negative_token_button")
with gr.Row(elem_id=f"{id_part}_styles_row"):
styles = gr.Dropdown(label="Styles", elem_id=f"{id_part}_styles", choices=[style.name for style in shared.prompt_styles.styles.values()], value=[], multiselect=True)
_styles_btn_refresh = ui_common.create_refresh_button(styles, shared.prompt_styles.reload, lambda: {"choices": [style.name for style in shared.prompt_styles.styles.values()]}, f"{id_part}_styles_refresh")
styles_btn_select = ToolButton('Select', elem_id=f"{id_part}_styles_select", visible=False)
styles_btn_apply = ToolButton(ui_symbols.style_apply, elem_id=f"{id_part}_styles_apply", visible=True)
styles_btn_save = ToolButton(ui_symbols.style_save, elem_id=f"{id_part}_styles_save", visible=True)
styles_btn_select.click(_js="applyStyles", fn=parse_style, inputs=[styles], outputs=[styles], show_progress='hidden')
styles_btn_apply.click(fn=apply_styles, inputs=[prompt, negative_prompt, styles], outputs=[prompt, negative_prompt, styles], show_progress='hidden')
styles_btn_save.click(fn=lambda: None, _js='() => quickSaveStyle()', inputs=[], outputs=[], show_progress='hidden')
return prompt, styles, negative_prompt, submit, reprocess, button_paste, button_extra, token_counter, token_button, negative_token_counter, negative_token_button
def create_resolution_inputs(tab, default_width=1024, default_height=1024):
width = gr.Slider(minimum=64, maximum=4096, step=8, label="Width", value=default_width, elem_id=f"{tab}_width")
height = gr.Slider(minimum=64, maximum=4096, step=8, label="Height", value=default_height, elem_id=f"{tab}_height")
ar_list = ['AR'] + [x.strip() for x in shared.opts.aspect_ratios.split(',') if x.strip() != '']
gr.Dropdown(show_label=False, interactive=True, choices=ar_list, value=ar_list[0], elem_id=f"{tab}_ar", elem_classes=["ar-dropdown"])
res_switch_btn = ToolButton(value=ui_symbols.switch, elem_id=f"{tab}_res_btn_swap")
res_switch_btn.click(lambda w, h: (h, w), inputs=[width, height], outputs=[width, height], show_progress='hidden')
return width, height
def create_caption_button(tab: str, inputs: list | None = None, outputs: str | None = None, what: str = ''):
button_caption = gr.Button(ui_symbols.caption, elem_id=f"{tab}_caption_{what}", elem_classes=['caption', 'image-fit'])
if inputs is not None and outputs is not None:
button_caption.click(fn=caption.caption, inputs=inputs, outputs=[outputs])
return button_caption
def create_batch_inputs(tab, accordion=True):
with gr.Accordion(open=False, label="Batch", elem_id=f"{tab}_batch", elem_classes=["small-accordion"]) if accordion else gr.Group():
with gr.Row(elem_id=f"{tab}_row_batch"):
batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1, elem_id=f"{tab}_batch_count", scale=5)
batch_size = gr.Slider(minimum=1, maximum=32, step=1, label='Batch size', value=1, elem_id=f"{tab}_batch_size", scale=5)
return batch_count, batch_size
def create_seed_inputs(tab, reuse_visible=True, accordion=True, subseed_visible=True, seed_resize_visible=False):
with gr.Accordion(open=False, label="Seed", elem_id=f"{tab}_seed_group", elem_classes=["small-accordion"]) if accordion else gr.Group():
with gr.Row(elem_id=f"{tab}_seed_row", variant="compact"):
seed = gr.Number(label='Initial seed', value=-1, elem_id=f"{tab}_seed", container=True)
random_seed = ToolButton(ui_symbols.random, elem_id=f"{tab}_seed_random")
reuse_seed = ToolButton(ui_symbols.reuse, elem_id=f"{tab}_seed_reuse", visible=reuse_visible)
with gr.Row(elem_id=f"{tab}_subseed_row", variant="compact", visible=subseed_visible):
subseed = gr.Number(label='Variation', value=-1, elem_id=f"{tab}_subseed", container=True)
random_subseed = ToolButton(ui_symbols.random, elem_id=f"{tab}_subseed_random")
reuse_subseed = ToolButton(ui_symbols.reuse, elem_id=f"{tab}_subseed_reuse", visible=reuse_visible)
subseed_strength = gr.Slider(label='Variation strength', value=0.0, minimum=0, maximum=1, step=0.01, elem_id=f"{tab}_subseed_strength", elem_classes=["subseed-strength"])
with gr.Row(visible=seed_resize_visible):
seed_resize_from_w = gr.Slider(minimum=0, maximum=4096, step=8, label="Resize seed from width", value=0, elem_id=f"{tab}_seed_resize_from_w")
seed_resize_from_h = gr.Slider(minimum=0, maximum=4096, step=8, label="Resize seed from height", value=0, elem_id=f"{tab}_seed_resize_from_h")
random_seed.click(fn=lambda: -1, show_progress='hidden', inputs=[], outputs=[seed])
random_subseed.click(fn=lambda: -1, show_progress='hidden', inputs=[], outputs=[subseed])
return seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w
def create_video_inputs(tab:str, show_always:bool=False):
def video_type_change(video_type):
return [
gr.update(visible=video_type != 'None' or show_always),
gr.update(visible=video_type in ['GIF', 'PNG'] or show_always),
gr.update(visible=video_type not in ['None', 'GIF', 'PNG'] or show_always),
gr.update(visible=video_type not in ['None', 'GIF', 'PNG'] or show_always),
]
with gr.Row():
video_codecs = ['None', 'GIF', 'PNG', 'MP4/MP4V', 'MP4/AVC1', 'MP4/JVT3', 'MKV/H264', 'AVI/DIVX', 'AVI/RGBA', 'MJPEG/MJPG', 'MPG/MPG1', 'AVR/AVR1']
video_type = gr.Dropdown(label='Video format', choices=video_codecs, value='MP4/MP4V', elem_id=f"{tab}_video_type")
with gr.Row():
video_duration = gr.Slider(label='Video duration', minimum=0.25, maximum=300, step=0.25, value=2, visible=show_always, elem_id=f"{tab}_video_duration")
video_loop = gr.Checkbox(label='Loop video', value=True, visible=show_always, elem_id=f"{tab}_video_loop")
with gr.Row():
video_pad = gr.Slider(label='Pad frames', minimum=0, maximum=24, step=1, value=1, visible=show_always, elem_id=f"{tab}_video_pad")
video_interpolate = gr.Slider(label='Interpolate frames', minimum=0, maximum=24, step=1, value=0, visible=show_always, elem_id=f"{tab}_video_interpolate")
video_type.change(fn=video_type_change, inputs=[video_type], outputs=[video_duration, video_loop, video_pad, video_interpolate])
return video_type, video_duration, video_loop, video_pad, video_interpolate
def create_advanced_inputs(tab):
with gr.Accordion(open=False, label="Advanced", elem_id=f"{tab}_advanced", elem_classes=["small-accordion"]):
with gr.Group():
with gr.Row():
clip_skip = gr.Slider(label='CLiP skip', value=1, minimum=0, maximum=12, step=0.1, elem_id=f"{tab}_clip_skip", interactive=shared.opts.clip_skip_enabled)
with gr.Row(elem_id=f"{tab}_vae_options"):
vae_type = gr.Dropdown(label='VAE type', choices=['Full', 'Tiny', 'Remote'], value='Full', elem_id=f"{tab}_vae_type")
with gr.Row(elem_id=f"{tab}_advanced_options"):
tiling = gr.Checkbox(label='Texture tiling', value=False, elem_id=f"{tab}_tiling")
hidiffusion = gr.Checkbox(label='HiDiffusion', value=False, elem_id=f"{tab}_hidiffusion")
return vae_type, tiling, hidiffusion, clip_skip
def create_latent_inputs(tab):
with gr.Accordion(open=False, label="Latent Corrections", elem_id=f"{tab}_latent_corrections", elem_classes=["small-accordion"]):
with gr.Group():
with gr.Row(elem_id=f"{tab}_hdr_mode_row"):
hdr_mode = gr.Dropdown(label="Correction mode", choices=["Relative values", "Absolute values"], type="index", value="Relative values", elem_id=f"{tab}_hdr_mode", show_label=False)
hdr_apply_hires = gr.Checkbox(label="Apply to hires", value=True, elem_id=f"{tab}_hdr_apply_hires")
with gr.Row(elem_id=f"{tab}_correction_row"):
hdr_brightness = gr.Slider(minimum=-4.0, maximum=4.0, step=0.05, value=0, label="Latent brightness", elem_id=f"{tab}_hdr_brightness")
hdr_sharpen = gr.Slider(minimum=-4.0, maximum=4.0, step=0.05, value=0, label="Latent sharpen", elem_id=f"{tab}_hdr_sharpen")
hdr_color = gr.Slider(minimum=0.0, maximum=16.0, step=0.1, value=0.0, label="Latent color", elem_id=f"{tab}_hdr_color")
with gr.Row(elem_id=f"{tab}_hdr_clamp_row"):
hdr_clamp = gr.Checkbox(label="Latent clamp", value=False, elem_id=f"{tab}_hdr_clamp")
hdr_boundary = gr.Slider(minimum=0.0, maximum=10.0, step=0.1, value=4.0, label="Latent range", elem_id=f"{tab}_hdr_boundary")
hdr_threshold = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.95, label="Latent threshold", elem_id=f"{tab}_hdr_threshold")
with gr.Row(elem_id=f"{tab}_hdr_max_row"):
hdr_maximize = gr.Checkbox(label="Latent maximize", value=False, elem_id=f"{tab}_hdr_maximize")
hdr_max_center = gr.Slider(minimum=0.0, maximum=2.0, step=0.1, value=0.6, label="Latent center", elem_id=f"{tab}_hdr_max_center")
hdr_max_boundary = gr.Slider(minimum=0.5, maximum=2.0, step=0.1, value=1.0, label="Latent max range", elem_id=f"{tab}_hdr_max_boundary")
with gr.Row(elem_id=f"{tab}_hdr_color_row"):
hdr_color_picker = gr.ColorPicker(label="Latent tint", show_label=True, container=False, value=None, elem_id=f"{tab}_hdr_color_picker")
hdr_tint_ratio = gr.Slider(label="Tint strength", minimum=-4.0, maximum=4.0, step=0.05, value=0.0, elem_id=f"{tab}_hdr_tint_ratio")
return hdr_mode, hdr_brightness, hdr_color, hdr_sharpen, hdr_clamp, hdr_boundary, hdr_threshold, hdr_maximize, hdr_max_center, hdr_max_boundary, hdr_color_picker, hdr_tint_ratio, hdr_apply_hires
def create_color_inputs(tab):
with gr.Accordion(open=False, label="Color Grading", elem_id=f"{tab}_color_grading", elem_classes=["small-accordion"]):
with gr.Group():
with gr.Row(elem_id=f"{tab}_grading_basic_row"):
grading_brightness = gr.Slider(minimum=-1.0, maximum=1.0, step=0.05, value=0, label='Brightness', elem_id=f"{tab}_grading_brightness")
grading_contrast = gr.Slider(minimum=-1.0, maximum=1.0, step=0.05, value=0, label='Contrast', elem_id=f"{tab}_grading_contrast")
grading_saturation = gr.Slider(minimum=-1.0, maximum=1.0, step=0.05, value=0, label='Saturation', elem_id=f"{tab}_grading_saturation")
with gr.Row(elem_id=f"{tab}_grading_basic2_row"):
grading_hue = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, value=0, label='Hue', elem_id=f"{tab}_grading_hue")
grading_gamma = gr.Slider(minimum=0.1, maximum=10.0, step=0.1, value=1.0, label='Gamma', elem_id=f"{tab}_grading_gamma")
grading_sharpness = gr.Slider(minimum=0.0, maximum=2.0, step=0.05, value=0, label='Sharpness', elem_id=f"{tab}_grading_sharpness")
grading_color_temp = gr.Slider(minimum=2000, maximum=12000, step=100, value=6500, label='Color temp', elem_id=f"{tab}_grading_color_temp")
with gr.Group():
gr.HTML('<h3>Tone</h3>')
with gr.Row(elem_id=f"{tab}_grading_tone_row"):
grading_shadows = gr.Slider(minimum=-1.0, maximum=1.0, step=0.05, value=0, label='Shadows', elem_id=f"{tab}_grading_shadows")
grading_midtones = gr.Slider(minimum=-1.0, maximum=1.0, step=0.05, value=0, label='Midtones', elem_id=f"{tab}_grading_midtones")
grading_highlights = gr.Slider(minimum=-1.0, maximum=1.0, step=0.05, value=0, label='Highlights', elem_id=f"{tab}_grading_highlights")
with gr.Row(elem_id=f"{tab}_grading_clahe_row"):
grading_clahe_clip = gr.Slider(minimum=0.0, maximum=5.0, step=0.25, value=0, label='CLAHE clip', elem_id=f"{tab}_grading_clahe_clip")
grading_clahe_grid = gr.Slider(minimum=2, maximum=16, step=1, value=8, label='CLAHE grid', elem_id=f"{tab}_grading_clahe_grid")
with gr.Group():
with gr.Row(elem_id=f"{tab}_grading_split_row"):
grading_shadows_tint = gr.ColorPicker(label="Shadows tint", value="#000000", elem_id=f"{tab}_grading_shadows_tint")
grading_highlights_tint = gr.ColorPicker(label="Highlights tint", value="#ffffff", elem_id=f"{tab}_grading_highlights_tint")
grading_split_tone_balance = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, value=0.5, label='Split tone balance', elem_id=f"{tab}_grading_split_tone_balance")
with gr.Group():
gr.HTML('<h3>Effects</h3>')
with gr.Row(elem_id=f"{tab}_grading_effects_row"):
grading_vignette = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, value=0, label='Vignette', elem_id=f"{tab}_grading_vignette")
grading_grain = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, value=0, label='Grain', elem_id=f"{tab}_grading_grain")
with gr.Group():
gr.HTML('<h3>LUT</h3>')
with gr.Row(elem_id=f"{tab}_grading_lut_row"):
grading_lut_cube_file = gr.File(label='LUT .cube file', file_types=['.cube'], elem_id=f"{tab}_grading_lut_file")
grading_lut_strength = gr.Slider(minimum=0.0, maximum=2.0, step=0.05, value=1.0, label='LUT strength', elem_id=f"{tab}_grading_lut_strength")
return grading_brightness, grading_contrast, grading_saturation, grading_hue, grading_gamma, grading_sharpness, grading_color_temp, grading_shadows, grading_midtones, grading_highlights, grading_clahe_clip, grading_clahe_grid, grading_shadows_tint, grading_highlights_tint, grading_split_tone_balance, grading_vignette, grading_grain, grading_lut_cube_file, grading_lut_strength
def create_sampler_and_steps_selection(choices, tabname, default_steps:int=20):
if choices is None:
sd_samplers.set_samplers()
choices = [x for x in sd_samplers.samplers if not x.name == 'Same as primary']
with gr.Row(elem_id=f"{tabname}_sampler_row", elem_classes=['flex-break', 'flexbox']):
steps = gr.Slider(minimum=1, maximum=100, step=1, label="Steps", elem_id=f"{tabname}_steps", value=default_steps)
sampler_index = gr.Dropdown(label='Sampling method', elem_id=f"{tabname}_sampling", choices=[x.name for x in choices], value='Default', type="index")
return steps, sampler_index
def create_sampler_options(tabname):
def set_sampler_options(sampler_options):
shared.opts.data['schedulers_dynamic_shift'] = 'dynamic' in sampler_options
shared.opts.data['schedulers_use_thresholding'] = 'thresholding' in sampler_options
shared.opts.data['schedulers_use_loworder'] = 'low order' in sampler_options
shared.opts.data['schedulers_rescale_betas'] = 'rescale' in sampler_options
log.debug(f'Sampler set options: {sampler_options}')
shared.opts.save(silent=True)
def set_sampler_fallback(fallback):
log.debug(f'Sampler set options: fallback={fallback}')
shared.opts.schedulers_fallback = fallback
shared.opts.save(silent=True)
def set_sampler_timesteps(timesteps):
log.debug(f'Sampler set options: timesteps={timesteps}')
shared.opts.schedulers_timesteps = timesteps
shared.opts.save(silent=True)
def set_sampler_spacing(spacing):
log.debug(f'Sampler set options: spacing={spacing}')
shared.opts.schedulers_timestep_spacing = spacing
shared.opts.save(silent=True)
def set_sampler_sigma(sampler_sigma):
log.debug(f'Sampler set options: sigma={sampler_sigma}')
shared.opts.schedulers_sigma = sampler_sigma
shared.opts.save(silent=True)
def set_sampler_order(sampler_order):
log.debug(f'Sampler set options: order={sampler_order}')
shared.opts.schedulers_solver_order = sampler_order
shared.opts.save(silent=True)
def set_sampler_prediction(sampler_prediction):
log.debug(f'Sampler set options: prediction={sampler_prediction}')
shared.opts.schedulers_prediction_type = sampler_prediction
shared.opts.save(silent=True)
def set_sampler_beta(sampler_beta):
log.debug(f'Sampler set options: beta={sampler_beta}')
shared.opts.schedulers_beta_schedule = sampler_beta
shared.opts.save(silent=True)
def set_sampler_shift(sampler_shift, sampler_base_shift, sampler_max_shift):
log.debug(f'Sampler set options: shift={sampler_shift} base={sampler_base_shift} max={sampler_max_shift}')
shared.opts.schedulers_shift = sampler_shift
shared.opts.schedulers_base_shift = sampler_base_shift
shared.opts.schedulers_max_shift = sampler_max_shift
shared.opts.save(silent=True)
def set_sigma_adjust(val, start, end):
log.debug(f'Sampler set options: sigma={val} min={start} max={end}')
shared.opts.schedulers_sigma_adjust = val
shared.opts.schedulers_sigma_adjust_min = start
shared.opts.schedulers_sigma_adjust_max = end
shared.opts.save(silent=True)
def set_sampler_preset(preset):
if preset == 'AYS SD15':
return '999,850,736,645,545,455,343,233,124,24'
if preset == 'AYS SDXL':
return '999,845,730,587,443,310,193,116,53,13'
return ''
with gr.Row(elem_classes=['flex-break']):
sampler_sigma = gr.Dropdown(label='Sigma method', elem_id=f"{tabname}_sampler_sigma", choices=['default', 'karras', 'betas', 'exponential', 'lambdas', 'flowmatch'], value=shared.opts.schedulers_sigma, type='value')
sampler_spacing = gr.Dropdown(label='Timestep spacing', elem_id=f"{tabname}_sampler_spacing", choices=['default', 'linspace', 'leading', 'trailing'], value=shared.opts.schedulers_timestep_spacing, type='value')
with gr.Row(elem_classes=['flex-break']):
sampler_beta = gr.Dropdown(label='Beta schedule', elem_id=f"{tabname}_sampler_beta", choices=['default', 'linear', 'scaled', 'cosine', 'sigmoid'], value=shared.opts.schedulers_beta_schedule, type='value')
sampler_prediction = gr.Dropdown(label='Prediction method', elem_id=f"{tabname}_sampler_prediction", choices=['default', 'epsilon', 'sample', 'v_prediction', 'flow_prediction'], value=shared.opts.schedulers_prediction_type, type='value')
with gr.Row(elem_classes=['flex-break']):
sampler_presets = gr.Dropdown(label='Timesteps presets', elem_id=f"{tabname}_sampler_presets", choices=['None', 'AYS SD15', 'AYS SDXL'], value='None', type='value')
sampler_timesteps = gr.Textbox(label='Timesteps override', elem_id=f"{tabname}_sampler_timesteps", value=shared.opts.schedulers_timesteps)
with gr.Row(elem_classes=['flex-break']):
sampler_sigma_adjust_val = gr.Slider(minimum=0.5, maximum=1.5, step=0.01, label='Sigma adjust', value=shared.opts.schedulers_sigma_adjust, elem_id=f"{tabname}_sampler_sigma_adjust")
sampler_sigma_adjust_min = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Adjust start', value=shared.opts.schedulers_sigma_adjust_min, elem_id=f"{tabname}_sampler_sigma_adjust_min")
sampler_sigma_adjust_max = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Adjust end', value=shared.opts.schedulers_sigma_adjust_max, elem_id=f"{tabname}_sampler_sigma_adjust_max")
with gr.Row(elem_classes=['flex-break']):
sampler_order = gr.Slider(minimum=0, maximum=5, step=1, label="Sampler order", value=shared.opts.schedulers_solver_order, elem_id=f"{tabname}_sampler_order")
with gr.Row(elem_classes=['flex-break']):
sampler_shift = gr.Slider(minimum=0, maximum=10, step=0.1, label="Flow shift", value=shared.opts.schedulers_shift, elem_id=f"{tabname}_sampler_shift")
sampler_base_shift = gr.Slider(minimum=0, maximum=10, step=0.01, label="Base shift", value=shared.opts.schedulers_base_shift, elem_id=f"{tabname}_sampler_base_shift")
sampler_max_shift = gr.Slider(minimum=0, maximum=10, step=0.01, label="Max shift", value=shared.opts.schedulers_max_shift, elem_id=f"{tabname}_sampler_max_shift")
with gr.Row(elem_classes=['flex-break']):
options = ['low order', 'thresholding', 'dynamic', 'rescale']
values = []
values += ['low order'] if shared.opts.data.get('schedulers_use_loworder', True) else []
values += ['thresholding'] if shared.opts.data.get('schedulers_use_thresholding', False) else []
values += ['dynamic'] if shared.opts.data.get('schedulers_dynamic_shift', False) else []
values += ['rescale'] if shared.opts.data.get('schedulers_rescale_betas', False) else []
sampler_options = gr.CheckboxGroup(label='Options', elem_id=f"{tabname}_sampler_options", choices=options, value=values, type='value')
with gr.Row(elem_classes=['flex-break']):
sampler_fallback = gr.Checkbox(label='Fallback on invalid', value=shared.opts.schedulers_fallback, elem_id=f"{tabname}_sampler_fallback")
sampler_sigma.change(fn=set_sampler_sigma, inputs=[sampler_sigma], outputs=[])
sampler_spacing.change(fn=set_sampler_spacing, inputs=[sampler_spacing], outputs=[])
sampler_presets.change(fn=set_sampler_preset, inputs=[sampler_presets], outputs=[sampler_timesteps])
sampler_timesteps.change(fn=set_sampler_timesteps, inputs=[sampler_timesteps], outputs=[])
sampler_beta.change(fn=set_sampler_beta, inputs=[sampler_beta], outputs=[])
sampler_prediction.change(fn=set_sampler_prediction, inputs=[sampler_prediction], outputs=[])
sampler_order.change(fn=set_sampler_order, inputs=[sampler_order], outputs=[])
sampler_shift.change(fn=set_sampler_shift, inputs=[sampler_shift, sampler_base_shift, sampler_max_shift], outputs=[])
sampler_options.change(fn=set_sampler_options, inputs=[sampler_options], outputs=[])
sampler_fallback.change(fn=set_sampler_fallback, inputs=[sampler_fallback], outputs=[])
sampler_sigma_adjust_val.change(fn=set_sigma_adjust, inputs=[sampler_sigma_adjust_val, sampler_sigma_adjust_min, sampler_sigma_adjust_max], outputs=[])
sampler_sigma_adjust_min.change(fn=set_sigma_adjust, inputs=[sampler_sigma_adjust_val, sampler_sigma_adjust_min, sampler_sigma_adjust_max], outputs=[])
sampler_sigma_adjust_max.change(fn=set_sigma_adjust, inputs=[sampler_sigma_adjust_val, sampler_sigma_adjust_min, sampler_sigma_adjust_max], outputs=[])
def create_hires_inputs(tab):
with gr.Accordion(open=False, label="Refine", elem_id=f"{tab}_refine_accordion", elem_classes=["small-accordion"]):
with gr.Row(elem_id=f"{tab}_hires_row1"):
enable_hr = gr.Checkbox(label='Enable refine pass', value=False, elem_id=f"{tab}_enable_hr")
hr_resize_mode, hr_upscaler, hr_resize_context, hr_resize_x, hr_resize_y, hr_scale, _selected_scale_tab = create_resize_inputs(tab, None, accordion=False, latent=True, non_zero=False)
with gr.Row(elem_id=f"{tab}_hires_fix_row2"):
hr_force = gr.Checkbox(label='Force HiRes', value=False, elem_id=f"{tab}_hr_force")
with gr.Row(elem_id=f"{tab}_hires_fix_row2"):
hr_sampler_index = gr.Dropdown(label='Refine sampler', elem_id=f"{tab}_sampling_alt", choices=[x.name for x in sd_samplers.samplers], value='Same as primary', type="index")
with gr.Row(elem_id=f"{tab}_hires_row2"):
hr_second_pass_steps = gr.Slider(minimum=0, maximum=99, step=1, label='HiRes steps', elem_id=f"{tab}_steps_alt", value=20)
denoising_strength = gr.Slider(minimum=0.0, maximum=0.99, step=0.01, label='Strength', value=0.3, elem_id=f"{tab}_denoising_strength")
with gr.Row(elem_id=f"{tab}_refiner_row1"):
refiner_start = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Refiner start', value=0.0, elem_id=f"{tab}_refiner_start")
refiner_steps = gr.Slider(minimum=0, maximum=99, step=1, label="Refiner steps", elem_id=f"{tab}_refiner_steps", value=20)
refiner_prompt = gr.Textbox(value='', lines=2, label='Refine prompt', elem_id=f"{tab}_refiner_prompt", elem_classes=["prompt"], placeholder="refine prompt or leave empty to use main prompt")
refiner_negative = gr.Textbox(value='', lines=2, label='Refine negative prompt', elem_id=f"{tab}_refiner_neg_prompt", elem_classes=["prompt"], placeholder="refine negative prompt or leave empty to use main prompt")
return enable_hr, hr_sampler_index, denoising_strength, hr_resize_mode, hr_resize_context, hr_upscaler, hr_force, hr_second_pass_steps, hr_scale, hr_resize_x, hr_resize_y, refiner_steps, refiner_start, refiner_prompt, refiner_negative
def create_resize_inputs(tab, images, accordion=True, latent=False, non_zero=True, prefix=''):
dummy_component = gr.Number(visible=False, value=0)
if len(prefix) > 0 and not prefix.startswith(' '):
prefix = f' {prefix}' if prefix != 'before' else ''
with gr.Accordion(open=False, label="Resize", elem_classes=["small-accordion"], elem_id=f"{tab}_resize_group") if accordion else gr.Group():
with gr.Row():
available_upscalers = [x.name for x in shared.sd_upscalers]
if len(available_upscalers) == 0:
available_upscalers = ['None']
if not latent:
available_upscalers = [x for x in available_upscalers if not x.lower().startswith('latent')]
resize_mode = gr.Dropdown(label=f"Mode{prefix}" if non_zero else "Resize mode", elem_id=f"{tab}_resize_mode", choices=shared.resize_modes, type="index", value='Fixed')
resize_name = gr.Dropdown(label=f"Method{prefix}" if non_zero else "Resize method", elem_id=f"{tab}_resize_name", choices=available_upscalers, value=available_upscalers[0], visible=True)
resize_context_choices = ["Add with forward", "Remove with forward", "Add with backward", "Remove with backward"]
resize_context = gr.Dropdown(label=f"Context{prefix}", elem_id=f"{tab}_resize_context", choices=resize_context_choices, value=resize_context_choices[0], visible=False)
resize_refresh_btn = ui_common.create_refresh_button(resize_name, modelloader.load_upscalers, lambda: {"choices": modelloader.load_upscalers()}, f'{tab}_upscalers_refresh')
def resize_mode_change(mode):
if mode is None or mode == 0:
return gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
return gr.update(visible=mode != 5), gr.update(visible=mode == 5), gr.update(visible=mode != 5)
resize_mode.change(fn=resize_mode_change, inputs=[resize_mode], outputs=[resize_name, resize_context, resize_refresh_btn])
with gr.Row(visible=True) as _resize_group:
with gr.Column(elem_id=f"{tab}_column_size"):
selected_scale_tab = gr.State(value=0 if tab != 'img2img' else 1)
with gr.Tabs(elem_id=f"{tab}_scale_tabs", selected=0 if non_zero else 1):
with gr.Tab(label="Fixed", id=0, elem_id=f"{tab}_scale_tab_fixed") as tab_scale_to:
with gr.Row(elem_id=f"{tab}_resize_row_fixed"):
with gr.Column(elem_id=f"{tab}_column_fixed1", scale=6):
suffix = '_resize' if tab != 'img2img' else ''
width = gr.Slider(minimum=64 if non_zero else 0, maximum=8192, step=8, label=f"Width{prefix}" if non_zero else "Resize width", value=1024 if non_zero else 0, elem_id=f"{tab}{suffix}_width")
height = gr.Slider(minimum=64 if non_zero else 0, maximum=8192, step=8, label=f"Height{prefix}" if non_zero else "Resize height", value=1024 if non_zero else 0, elem_id=f"{tab}{suffix}_height")
with gr.Column(elem_id=f"{tab}_column_fixed2", scale=1):
ar_list = ['AR'] + [x.strip() for x in shared.opts.aspect_ratios.split(',') if x.strip() != '']
gr.Dropdown(show_label=False, interactive=True, choices=ar_list, value=ar_list[0], elem_id=f"{tab}_resize_ar", elem_classes=["ar-dropdown"])
res_switch_btn = ToolButton(value=ui_symbols.switch, elem_id=f"{tab}_resize_size_swap")
res_switch_btn.click(lambda w, h: (h, w), inputs=[width, height], outputs=[width, height], show_progress='hidden')
detect_image_size_btn = ToolButton(value=ui_symbols.detect, elem_id=f"{tab}_resize_detect_size")
el = tab.split('_')[0]
detect_image_size_btn.click(fn=lambda w, h, _: (w or gr.update(), h or gr.update()), _js=f'currentImageResolution{el}', inputs=[dummy_component, dummy_component, dummy_component], outputs=[width, height], show_progress='hidden')
width.change(fn=None, _js='notifyKanvasResize', inputs=[width, height], outputs=[], show_progress='hidden')
height.change(fn=None, _js='notifyKanvasResize', inputs=[width, height], outputs=[], show_progress='hidden')
with gr.Tab(label="Scale", id=1, elem_id=f"{tab}_scale_tab_scale") as tab_scale_by:
scale_by = gr.Slider(minimum=0.05, maximum=8.0, step=0.05, label=f"Scale{prefix}" if non_zero else "Resize scale", value=1.0, elem_id=f"{tab}_scale")
if images is not None:
for component in images:
component.change(fn=lambda: None, _js="updateImg2imgResizeToTextAfterChangingImage", inputs=[], outputs=[], show_progress='hidden')
tab_scale_to.select(fn=lambda: 0, inputs=[], outputs=[selected_scale_tab])
tab_scale_by.select(fn=lambda: 1, inputs=[], outputs=[selected_scale_tab])
return resize_mode, resize_name, resize_context, width, height, scale_by, selected_scale_tab