diff --git a/CHANGELOG.md b/CHANGELOG.md
index 8d195bbc9..0aa20ca7c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -36,6 +36,9 @@ And it also includes fixes for all reported issues so far
- vae: enable taesd batch decode
enable/disable with settings -> diffusers > vae slicing
- updated core requirements
+ - major internal ui module refactoring
+ this may cause compatibility issues if an extension is doing a direct import from `ui.py`
+ in which case, report it so i can add a compatibility layer
- **Compile**
- new option: **fused projections**
pretty much free 5% performance boost for compatible models
@@ -56,6 +59,7 @@ And it also includes fixes for all reported issues so far
- ipadapter: allow changing of model/image on-the-fly
- ipadapter: fix fallback of cross-attention on unload
- python: fix python 3.9 compatibility
+ - sdxl: fix positive prompt embeds
- img2img: clip and blip interrogate
- img2img: sampler selection offset
- sampler: guard against invalid sampler index
diff --git a/modules/img2img.py b/modules/img2img.py
index 2b3e30889..a69df2895 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -114,14 +114,13 @@ def img2img(id_task: str, mode: int,
init_img_inpaint,
init_mask_inpaint,
steps,
- sampler_index, hr_sampler_index,
+ sampler_index,
mask_blur, mask_alpha,
inpainting_fill,
full_quality, restore_faces, tiling,
n_iter, batch_size,
cfg_scale, image_cfg_scale,
diffusers_guidance_rescale,
- refiner_steps,
refiner_start,
clip_skip,
denoising_strength,
@@ -140,7 +139,7 @@ def img2img(id_task: str, mode: int,
shared.log.warning('Model not loaded')
return [], '', '', 'Error: model not loaded'
- debug(f'img2img: id_task={id_task}|mode={mode}|prompt={prompt}|negative_prompt={negative_prompt}|prompt_styles={prompt_styles}|init_img={init_img}|sketch={sketch}|init_img_with_mask={init_img_with_mask}|inpaint_color_sketch={inpaint_color_sketch}|inpaint_color_sketch_orig={inpaint_color_sketch_orig}|init_img_inpaint={init_img_inpaint}|init_mask_inpaint={init_mask_inpaint}|steps={steps}|sampler_index={sampler_index}|hr_sampler_index={hr_sampler_index}|mask_blur={mask_blur}|mask_alpha={mask_alpha}|inpainting_fill={inpainting_fill}|full_quality={full_quality}|restore_faces={restore_faces}|tiling={tiling}|n_iter={n_iter}|batch_size={batch_size}|cfg_scale={cfg_scale}|image_cfg_scale={image_cfg_scale}|clip_skip={clip_skip}|denoising_strength={denoising_strength}|seed={seed}|subseed{subseed}|subseed_strength={subseed_strength}|seed_resize_from_h={seed_resize_from_h}|seed_resize_from_w={seed_resize_from_w}|selected_scale_tab={selected_scale_tab}|height={height}|width={width}|scale_by={scale_by}|resize_mode={resize_mode}|resize_name={resize_name}|inpaint_full_res={inpaint_full_res}|inpaint_full_res_padding={inpaint_full_res_padding}|inpainting_mask_invert={inpainting_mask_invert}|img2img_batch_files={img2img_batch_files}|img2img_batch_input_dir={img2img_batch_input_dir}|img2img_batch_output_dir={img2img_batch_output_dir}|img2img_batch_inpaint_mask_dir={img2img_batch_inpaint_mask_dir}|override_settings_texts={override_settings_texts}')
+ debug(f'img2img: id_task={id_task}|mode={mode}|prompt={prompt}|negative_prompt={negative_prompt}|prompt_styles={prompt_styles}|init_img={init_img}|sketch={sketch}|init_img_with_mask={init_img_with_mask}|inpaint_color_sketch={inpaint_color_sketch}|inpaint_color_sketch_orig={inpaint_color_sketch_orig}|init_img_inpaint={init_img_inpaint}|init_mask_inpaint={init_mask_inpaint}|steps={steps}|sampler_index={sampler_index}||mask_blur={mask_blur}|mask_alpha={mask_alpha}|inpainting_fill={inpainting_fill}|full_quality={full_quality}|restore_faces={restore_faces}|tiling={tiling}|n_iter={n_iter}|batch_size={batch_size}|cfg_scale={cfg_scale}|image_cfg_scale={image_cfg_scale}|clip_skip={clip_skip}|denoising_strength={denoising_strength}|seed={seed}|subseed{subseed}|subseed_strength={subseed_strength}|seed_resize_from_h={seed_resize_from_h}|seed_resize_from_w={seed_resize_from_w}|selected_scale_tab={selected_scale_tab}|height={height}|width={width}|scale_by={scale_by}|resize_mode={resize_mode}|resize_name={resize_name}|inpaint_full_res={inpaint_full_res}|inpaint_full_res_padding={inpaint_full_res_padding}|inpainting_mask_invert={inpainting_mask_invert}|img2img_batch_files={img2img_batch_files}|img2img_batch_input_dir={img2img_batch_input_dir}|img2img_batch_output_dir={img2img_batch_output_dir}|img2img_batch_inpaint_mask_dir={img2img_batch_inpaint_mask_dir}|override_settings_texts={override_settings_texts}')
if mode == 5:
if img2img_batch_files is None or len(img2img_batch_files) == 0:
@@ -150,8 +149,6 @@ def img2img(id_task: str, mode: int,
if sampler_index is None:
sampler_index = 0
- if hr_sampler_index is None:
- hr_sampler_index = 0
override_settings = create_override_settings_dict(override_settings_texts)
@@ -213,7 +210,6 @@ def img2img(id_task: str, mode: int,
seed_resize_from_w=seed_resize_from_w,
seed_enable_extras=True,
sampler_name = processing.get_sampler_name(sampler_index, img=True),
- hr_sampler_name = processing.get_sampler_name(hr_sampler_index, img=True),
batch_size=batch_size,
n_iter=n_iter,
steps=steps,
@@ -233,7 +229,6 @@ def img2img(id_task: str, mode: int,
denoising_strength=denoising_strength,
image_cfg_scale=image_cfg_scale,
diffusers_guidance_rescale=diffusers_guidance_rescale,
- refiner_steps=refiner_steps,
refiner_start=refiner_start,
inpaint_full_res=inpaint_full_res != 0,
inpaint_full_res_padding=inpaint_full_res_padding,
diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 521c710e2..beea36b95 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -225,8 +225,8 @@ def process_diffusers(p: StableDiffusionProcessing):
if 'prompt' in possible:
if hasattr(model, 'text_encoder') and 'prompt_embeds' in possible and len(p.prompt_embeds) > 0 and p.prompt_embeds[0] is not None:
args['prompt_embeds'] = p.prompt_embeds[0]
- if 'XL' in model.__class__.__name__ and len(getattr(p, 'negative_pooleds', [])) > 0:
- args['pooled_prompt_embeds'] = p.negative_pooleds[0]
+ if 'XL' in model.__class__.__name__ and len(getattr(p, 'positive_pooleds', [])) > 0:
+ args['pooled_prompt_embeds'] = p.positive_pooleds[0]
else:
args['prompt'] = prompts
if 'negative_prompt' in possible:
diff --git a/modules/shared.py b/modules/shared.py
index 6008d0af5..8c1069c4f 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -570,7 +570,6 @@ options_templates.update(options_section(('postprocessing', "Postprocessing"), {
"postprocessing_sep_img2img": OptionInfo("Img2Img & Inpainting
", "", gr.HTML),
"img2img_color_correction": OptionInfo(False, "Apply color correction"),
- # "img2img_apply_overlay": OptionInfo(False, "Apply result as overlay"),
"img2img_fix_steps": OptionInfo(False, "For image processing do exact number of steps as specified", gr.Checkbox, { "visible": False }),
"img2img_background_color": OptionInfo("#ffffff", "Image transparent color fill", ui_components.FormColorPicker, {}),
"inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
@@ -584,7 +583,6 @@ options_templates.update(options_section(('postprocessing', "Postprocessing"), {
"postprocessing_sep_upscalers": OptionInfo("Upscaling
", "", gr.HTML),
"upscaler_unload": OptionInfo(False, "Unload upscaler after processing"),
- # 'upscaling_max_images_in_cache': OptionInfo(5, "Maximum number of images in upscaling cache", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1, "visible": False}),
"upscaler_for_img2img": OptionInfo("None", "Default upscaler for image resize operations", gr.Dropdown, lambda: {"choices": [x.name for x in sd_upscalers], "visible": False}, refresh=refresh_upscalers),
"upscaler_tile_size": OptionInfo(192, "Upscaler tile size", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}),
"upscaler_tile_overlap": OptionInfo(8, "Upscaler tile overlap", gr.Slider, {"minimum": 0, "maximum": 64, "step": 1}),
diff --git a/modules/ui.py b/modules/ui.py
index 363387bb7..4b4b40f9d 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1,17 +1,12 @@
import os
-import json
import mimetypes
-from functools import reduce
-
import gradio as gr
import gradio.routes
import gradio.utils
-import numpy as np
-from PIL import Image
-from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
-from modules import timer, gr_hijack, shared, theme, sd_models, script_callbacks, modelloader, prompt_parser, ui_common, ui_loadsave, ui_symbols, generation_parameters_copypaste
-from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
-from modules.paths import script_path, data_path
+from modules.call_queue import wrap_gradio_call
+from modules import timer, gr_hijack, shared, theme, sd_models, script_callbacks, modelloader, ui_common, ui_loadsave, ui_symbols, ui_javascript, generation_parameters_copypaste
+from modules.ui_components import FormRow
+from modules.paths import script_path, data_path # pylint: disable=unused-import
from modules.dml import directml_override_opts
import modules.scripts
import modules.textual_inversion.ui
@@ -35,10 +30,6 @@ folder_symbol = ui_symbols.folder
extra_networks_symbol = ui_symbols.networks
apply_style_symbol = ui_symbols.apply
save_style_symbol = ui_symbols.save
-txt2img_paste_fields = []
-img2img_paste_fields = []
-txt2img_args = []
-img2img_args = []
paste_function = None
gr_hijack.init()
@@ -72,308 +63,14 @@ def send_gradio_gallery_to_image(x):
return generation_parameters_copypaste.image_from_url_text(x[0])
-def add_style(name: str, prompt: str, negative_prompt: str):
- from modules import styles
- if name is None:
- return [gr_show() for x in range(4)]
- style = styles.Style(name, prompt, negative_prompt)
- shared.prompt_styles.styles[style.name] = style
- shared.prompt_styles.save_styles(shared.opts.styles_dir)
- return [gr.Dropdown.update(visible=True, choices=list(shared.prompt_styles.styles)) for _ in range(2)]
-
-
-def calc_resolution_hires(width, height, hr_scale, hr_resize_x, hr_resize_y, hr_upscaler):
- from modules import processing, devices
- if hr_upscaler == "None":
- return "Hires resize: None"
- p = processing.StableDiffusionProcessingTxt2Img(width=width, height=height, enable_hr=True, hr_scale=hr_scale, hr_resize_x=hr_resize_x, hr_resize_y=hr_resize_y)
- p.init_hr()
- with devices.autocast():
- p.init([""], [0], [0])
- return f"Hires resize: from {p.width}x{p.height} to {p.hr_resize_x or p.hr_upscale_to_x}x{p.hr_resize_y or p.hr_upscale_to_y}"
-
-
-def resize_from_to_html(width, height, scale_by):
- target_width = int(width * scale_by)
- target_height = int(height * scale_by)
- if not target_width or not target_height:
- return "Hires resize: no image selected"
- return f"Hires resize: from {width}x{height} to {target_width}x{target_height}"
-
-
-def apply_styles(prompt, prompt_neg, styles):
- prompt = shared.prompt_styles.apply_styles_to_prompt(prompt, styles)
- prompt_neg = shared.prompt_styles.apply_negative_styles_to_prompt(prompt_neg, styles)
- return [gr.Textbox.update(value=prompt), gr.Textbox.update(value=prompt_neg), gr.Dropdown.update(value=[])]
-
-
-def parse_style(styles):
- return styles.split('|')
-
-
-def process_interrogate(interrogation_function, mode, ii_input_files, ii_input_dir, ii_output_dir, *ii_singles):
- mode = int(mode)
- if mode in {0, 1, 3, 4}:
- return [interrogation_function(ii_singles[mode]), None]
- if mode == 2:
- return [interrogation_function(ii_singles[mode]["image"]), None]
- if mode == 5:
- if len(ii_input_files) > 0:
- images = [f.name for f in ii_input_files]
- else:
- if not os.path.isdir(ii_input_dir):
- log.error(f"Interrogate: Input directory not found: {ii_input_dir}")
- return [gr.update(), None]
- images = shared.listfiles(ii_input_dir)
- if ii_output_dir != "":
- os.makedirs(ii_output_dir, exist_ok=True)
- else:
- ii_output_dir = ii_input_dir
- for image in images:
- img = Image.open(image)
- filename = os.path.basename(image)
- left, _ = os.path.splitext(filename)
- print(interrogation_function(img), file=open(os.path.join(ii_output_dir, f"{left}.txt"), 'a', encoding='utf-8')) # pylint: disable=consider-using-with
- return [gr.update(), None]
-
-
-def interrogate(image):
- if image is None:
- log.error("Interrogate: no image selected")
- return gr.update()
- prompt = shared.interrogator.interrogate(image.convert("RGB"))
- return gr.update() if prompt is None else prompt
-
-
-def interrogate_deepbooru(image):
- from modules import deepbooru
- prompt = deepbooru.model.tag(image)
- return gr.update() if prompt is None else prompt
-
-
-def create_batch_inputs(tab):
- with gr.Accordion(open=False, label="Batch", elem_id=f"{tab}_batch", elem_classes=["small-accordion"]):
- with FormRow(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")
- batch_size = gr.Slider(minimum=1, maximum=32, step=1, label='Batch size', value=1, elem_id=f"{tab}_batch_size")
- batch_switch_btn = ToolButton(value=ui_symbols.switch, elem_id=f"{tab}_batch_switch_btn", label="Switch dims")
- batch_switch_btn.click(lambda w, h: (h, w), inputs=[batch_count, batch_size], outputs=[batch_count, batch_size], show_progress=False)
- return batch_count, batch_size
-
-
-def create_seed_inputs(tab, reuse_visible=True):
- with gr.Accordion(open=False, label="Seed", elem_id=f"{tab}_seed_group", elem_classes=["small-accordion"]):
- with FormRow(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}_random_seed", label='Random seed')
- reuse_seed = ToolButton(ui_symbols.reuse, elem_id=f"{tab}_reuse_seed", label='Reuse seed', visible=reuse_visible)
- with FormRow(elem_id=f"{tab}_subseed_row", variant="compact", visible=shared.backend==shared.Backend.ORIGINAL):
- subseed = gr.Number(label='Variation', value=-1, elem_id=f"{tab}_subseed", container=True)
- random_subseed = ToolButton(ui_symbols.random, elem_id=f"{tab}_random_subseed")
- reuse_subseed = ToolButton(ui_symbols.reuse, elem_id=f"{tab}_reuse_subseed", 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")
- with FormRow(visible=False):
- 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, -1], show_progress=False, inputs=[], outputs=[seed, subseed])
- random_subseed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[subseed])
- return seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w
-
-
-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 FormRow():
- cfg_scale = gr.Slider(minimum=0.0, maximum=30.0, step=0.1, label='CFG scale', value=6.0, elem_id=f"{tab}_cfg_scale")
- clip_skip = gr.Slider(label='CLIP skip', value=1, minimum=1, maximum=14, step=1, elem_id=f"{tab}_clip_skip", interactive=True)
- with FormRow():
- image_cfg_scale = gr.Slider(minimum=0.0, maximum=30.0, step=0.1, label='Secondary CFG scale', value=6.0, elem_id=f"{tab}_image_cfg_scale")
- diffusers_guidance_rescale = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Guidance rescale', value=0.7, elem_id=f"{tab}_image_cfg_rescale", visible=shared.backend == shared.Backend.DIFFUSERS)
- with gr.Group():
- with FormRow():
- full_quality = gr.Checkbox(label='Full quality', value=True, elem_id=f"{tab}_full_quality")
- restore_faces = gr.Checkbox(label='Face restore', value=False, visible=len(shared.face_restorers) > 1, elem_id=f"{tab}_restore_faces")
- tiling = gr.Checkbox(label='Tiling', value=False, elem_id=f"{tab}_tiling", visible=shared.backend == shared.Backend.ORIGINAL)
- with gr.Group(visible=shared.backend == shared.Backend.DIFFUSERS):
- with FormRow():
- hdr_clamp = gr.Checkbox(label='HDR 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='Range', elem_id=f"{tab}_hdr_boundary")
- hdr_threshold = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.95, label='Threshold', elem_id=f"{tab}_hdr_threshold")
- with FormRow():
- hdr_center = gr.Checkbox(label='HDR center', value=False, elem_id=f"{tab}_hdr_center")
- hdr_channel_shift = gr.Slider(minimum=0.0, maximum=2.0, step=0.1, value=1.0, label='Channel shift', elem_id=f"{tab}_hdr_channel_shift")
- hdr_full_shift = gr.Slider(minimum=0.0, maximum=2.0, step=0.1, value=1, label='Full shift', elem_id=f"{tab}_hdr_full_shift")
- with FormRow():
- hdr_maximize = gr.Checkbox(label='HDR 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='Center', elem_id=f"{tab}_hdr_max_center")
- hdr_max_boundry = gr.Slider(minimum=0.5, maximum=2.0, step=0.1, value=1.0, label='Range', elem_id=f"{tab}_hdr_max_boundry")
- return cfg_scale, clip_skip, image_cfg_scale, diffusers_guidance_rescale, full_quality, restore_faces, tiling, hdr_clamp, hdr_boundary, hdr_threshold, hdr_center, hdr_channel_shift, hdr_full_shift, hdr_maximize, hdr_max_center, hdr_max_boundry
-
-
-def create_resize_inputs(tab, images, time_selector=False, scale_visible=True, mode=None):
- dummy_component = gr.Number(visible=False, value=0)
- with gr.Accordion(open=False, label="Resize", elem_classes=["small-accordion"], elem_id=f"{tab}_resize_group"):
- with gr.Row():
- if mode is not None:
- resize_mode = gr.Radio(label="Resize mode", elem_id=f"{tab}_resize_mode", choices=shared.resize_modes, type="index", value=mode, visible=False)
- else:
- resize_mode = gr.Radio(label="Resize mode", elem_id=f"{tab}_resize_mode", choices=shared.resize_modes, type="index", value='None')
- resize_time = gr.Radio(label="Resize order", elem_id=f"{tab}_resize_order", choices=['Before', 'After'], value="Before", visible=time_selector)
- with gr.Row():
- resize_name = gr.Dropdown(label="Resize method", elem_id=f"{tab}_resize_name", choices=[x.name for x in shared.sd_upscalers], value=opts.upscaler_for_img2img)
- create_refresh_button(resize_name, modelloader.load_upscalers, lambda: {"choices": modelloader.load_upscalers()}, 'refresh_upscalers')
-
- with FormRow(visible=True) as _resize_group:
- with gr.Column(elem_id=f"{tab}_column_size"):
- selected_scale_tab = gr.State(value=0) # pylint: disable=abstract-class-instantiated
- with gr.Tabs():
- with gr.Tab(label="Resize to") as tab_scale_to:
- with FormRow():
- with gr.Column(elem_id=f"{tab}_column_size"):
- with FormRow():
- width = gr.Slider(minimum=64, maximum=8192, step=8, label="Width", value=512, elem_id=f"{tab}_width")
- height = gr.Slider(minimum=64, maximum=8192, step=8, label="Height", value=512, elem_id=f"{tab}_height")
- res_switch_btn = ToolButton(value=ui_symbols.switch, elem_id=f"{tab}_res_switch_btn")
- res_switch_btn.click(lambda w, h: (h, w), inputs=[width, height], outputs=[width, height], show_progress=False)
- detect_image_size_btn = ToolButton(value=ui_symbols.detect, elem_id=f"{tab}_detect_image_size_btn")
- detect_image_size_btn.click(fn=lambda w, h, _: (w or gr.update(), h or gr.update()), _js="currentImg2imgSourceResolution", inputs=[dummy_component, dummy_component, dummy_component], outputs=[width, height], show_progress=False)
-
- with gr.Tab(label="Resize by") as tab_scale_by:
- scale_by = gr.Slider(minimum=0.05, maximum=8.0, step=0.05, label="Scale", value=1.0, elem_id=f"{tab}_scale")
- if scale_visible:
- with FormRow():
- scale_by_html = FormHTML(resize_from_to_html(0, 0, 0.0), elem_id=f"{tab}_scale_resolution_preview")
- gr.Slider(label="Unused", elem_id=f"{tab}_unused_scale_by_slider")
- button_update_resize_to = gr.Button(visible=False, elem_id=f"{tab}_update_resize_to")
-
- on_change_args = dict(fn=resize_from_to_html, _js="currentImg2imgSourceResolution", inputs=[dummy_component, dummy_component, scale_by], outputs=scale_by_html, show_progress=False)
- scale_by.release(**on_change_args)
- button_update_resize_to.click(**on_change_args)
-
- for component in images:
- component.change(fn=lambda: None, _js="updateImg2imgResizeToTextAfterChangingImage", inputs=[], outputs=[], show_progress=False)
-
- tab_scale_to.select(fn=lambda: 0, inputs=[], outputs=[selected_scale_tab])
- tab_scale_by.select(fn=lambda: 1, inputs=[], outputs=[selected_scale_tab])
- # resize_mode.change(fn=lambda x: gr.update(visible=x != 0), inputs=[resize_mode], outputs=[_resize_group])
- return resize_mode, resize_name, width, height, scale_by, selected_scale_tab, resize_time
+def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
+ return ui_common.create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id)
def connect_clear_prompt(button): # pylint: disable=unused-argument
pass
-def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info: gr.Textbox, is_subseed):
- """ Connects a 'reuse (sub)seed' button's click event so that it copies last used
- (sub)seed value from generation info the to the seed field. If copying subseed and subseed strength
- was 0, i.e. no variation seed was used, it copies the normal seed value instead."""
- def copy_seed(gen_info_string: str, index: int):
- res = -1
- try:
- gen_info = json.loads(gen_info_string)
- log.debug(f'Reuse: info={gen_info}')
- index -= gen_info.get('index_of_first_image', 0)
- index = int(index)
-
- if is_subseed and gen_info.get('subseed_strength', 0) > 0:
- all_subseeds = gen_info.get('all_subseeds', [-1])
- res = all_subseeds[index if 0 <= index < len(all_subseeds) else 0]
- else:
- all_seeds = gen_info.get('all_seeds', [-1])
- res = all_seeds[index if 0 <= index < len(all_seeds) else 0]
- except json.decoder.JSONDecodeError:
- if gen_info_string != '':
- log.error(f"Error parsing JSON generation info: {gen_info_string}")
- return [res, gr_show(False)]
-
- dummy_component = gr.Number(visible=False, value=0)
- reuse_seed.click(fn=copy_seed, _js="(x, y) => [x, selected_gallery_index()]", show_progress=False, inputs=[generation_info, dummy_component], outputs=[seed, dummy_component])
-
-
-def update_token_counter(text, steps):
- from modules import extra_networks, sd_hijack
- try:
- text, _ = extra_networks.parse_prompt(text)
- _, prompt_flat_list, _ = prompt_parser.get_multicond_prompt_list([text])
- prompt_schedules = prompt_parser.get_learned_conditioning_prompt_schedules(prompt_flat_list, steps)
- except Exception:
- prompt_schedules = [[[steps, text]]]
-
- flat_prompts = reduce(lambda list1, list2: list1+list2, prompt_schedules)
- prompts = [prompt_text for step, prompt_text in flat_prompts]
- if shared.backend == shared.Backend.ORIGINAL:
- token_count, max_length = max([sd_hijack.model_hijack.get_prompt_lengths(prompt) for prompt in prompts], key=lambda args: args[0])
- elif shared.backend == shared.Backend.DIFFUSERS:
- if shared.sd_model is not None and hasattr(shared.sd_model, 'tokenizer'):
- tokenizer = shared.sd_model.tokenizer
- if tokenizer is None:
- token_count = 0
- max_length = 75
- else:
- has_bos_token = tokenizer.bos_token_id is not None
- has_eos_token = tokenizer.eos_token_id is not None
- ids = [shared.sd_model.tokenizer(prompt) for prompt in prompts]
- if len(ids) > 0 and hasattr(ids[0], 'input_ids'):
- ids = [x.input_ids for x in ids]
- token_count = max([len(x) for x in ids]) - int(has_bos_token) - int(has_eos_token)
- max_length = tokenizer.model_max_length - int(has_bos_token) - int(has_eos_token)
- else:
- token_count = 0
- max_length = 75
- return f"{token_count}/{max_length}"
-
-
-def create_toprow(is_img2img: bool = False, id_part: str = None):
- 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=6):
- with gr.Row():
- with gr.Column(scale=80):
- with gr.Row():
- prompt = gr.Textbox(elem_id=f"{id_part}_prompt", label="Prompt", show_label=False, lines=3, placeholder="Prompt", elem_classes=["prompt"])
- with gr.Row():
- with gr.Column(scale=80):
- with gr.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"])
- button_interrogate = None
- button_deepbooru = None
- if is_img2img:
- with gr.Column(scale=1, elem_classes="interrogate-col"):
- button_interrogate = gr.Button('Interrogate\nCLIP', elem_id=f"{id_part}_interrogate")
- button_deepbooru = gr.Button('Interrogate\nDeepBooru', elem_id=f"{id_part}_deepbooru")
- with gr.Column(scale=1, elem_id=f"{id_part}_actions_column"):
- with gr.Row(elem_id=f"{id_part}_generate_box"):
- submit = gr.Button('Generate', elem_id=f"{id_part}_generate", variant='primary')
- 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") # symbols.paste
- button_clear = gr.Button(value='Clear', variant='secondary', elem_id=f"{id_part}_clear_prompt_btn") # symbols.clear
- button_extra = gr.Button(value='Networks', variant='secondary', elem_id=f"{id_part}_extra_networks_btn") # symbols.networks
- button_clear.click(fn=lambda *x: ['', ''], inputs=[prompt, negative_prompt], outputs=[prompt, negative_prompt], show_progress=False)
- with gr.Row(elem_id=f"{id_part}_counters"):
- token_counter = gr.HTML(value="0/75", elem_id=f"{id_part}_token_counter", elem_classes=["token-counter"])
- token_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
- negative_token_counter = gr.HTML(value="0/75", elem_id=f"{id_part}_negative_token_counter", elem_classes=["token-counter"])
- 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 = create_refresh_button(styles, shared.prompt_styles.reload, lambda: {"choices": list(shared.prompt_styles.styles)}, f"{id_part}_styles_refresh")
- # styles_btn_refresh = ToolButton(symbols.refresh, elem_id=f"{id_part}_styles_refresh", visible=True)
- # styles_btn_refresh.click(fn=lambda: gr.update(choices=[style.name for style in shared.prompt_styles.styles.values()]), inputs=[], outputs=[styles])
- styles_btn_select = gr.Button('Select', elem_id=f"{id_part}_styles_select", visible=False)
- styles_btn_select.click(_js="applyStyles", fn=parse_style, inputs=[styles], outputs=[styles])
- styles_btn_apply = ToolButton(ui_symbols.apply, elem_id=f"{id_part}_extra_apply", visible=False)
- styles_btn_apply.click(fn=apply_styles, inputs=[prompt, negative_prompt, styles], outputs=[prompt, negative_prompt, styles])
- return prompt, styles, negative_prompt, submit, button_interrogate, button_deepbooru, button_paste, button_extra, token_counter, token_button, negative_token_counter, negative_token_button
-
-
def setup_progressbar(*args, **kwargs): # pylint: disable=unused-argument
pass
@@ -404,91 +101,6 @@ def apply_setting(key, value):
return getattr(opts, key)
-def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
- return ui_common.create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id)
-
-
-def create_sampler_and_steps_selection(choices, tabname):
- def set_sampler_original_options(sampler_options, sampler_algo):
- opts.data['schedulers_brownian_noise'] = 'brownian noise' in sampler_options
- opts.data['schedulers_discard_penultimate'] = 'discard penultimate sigma' in sampler_options
- opts.data['schedulers_sigma'] = sampler_algo
- opts.save(shared.config_filename, silent=True)
-
- def set_sampler_diffuser_options(sampler_options):
- opts.data['schedulers_use_karras'] = 'karras' in sampler_options
- opts.data['schedulers_use_thresholding'] = 'dynamic thresholding' in sampler_options
- opts.data['schedulers_use_loworder'] = 'low order' in sampler_options
- opts.data['schedulers_rescale_betas'] = 'rescale beta' in sampler_options
- opts.save(shared.config_filename, silent=True)
-
- with FormRow(elem_classes=['flex-break']):
- sampler_index = gr.Dropdown(label='Sampling method', elem_id=f"{tabname}_sampling", choices=[x.name for x in choices], value='Default', type="index")
- steps = gr.Slider(minimum=1, maximum=99, step=1, label="Sampling steps", elem_id=f"{tabname}_steps", value=20)
- if shared.backend == shared.Backend.ORIGINAL:
- with FormRow(elem_classes=['flex-break']):
- choices = ['brownian noise', 'discard penultimate sigma']
- values = []
- values += ['brownian noise'] if opts.data.get('schedulers_brownian_noise', False) else []
- values += ['discard penultimate sigma'] if opts.data.get('schedulers_discard_penultimate', True) else []
- sampler_options = gr.CheckboxGroup(label='Sampler options', choices=choices, value=values, type='value')
- with FormRow(elem_classes=['flex-break']):
- opts.data['schedulers_sigma'] = opts.data.get('schedulers_sigma', 'default')
- sampler_algo = gr.Radio(label='Sigma algorithm', choices=['default', 'karras', 'exponential', 'polyexponential'], value=opts.data['schedulers_sigma'], type='value')
- sampler_options.change(fn=set_sampler_original_options, inputs=[sampler_options, sampler_algo], outputs=[])
- sampler_algo.change(fn=set_sampler_original_options, inputs=[sampler_options, sampler_algo], outputs=[])
- else:
- with FormRow(elem_classes=['flex-break']):
- choices = ['karras', 'dynamic threshold', 'low order', 'rescale beta']
- values = []
- values += ['karras'] if opts.data.get('schedulers_use_karras', True) else []
- values += ['dynamic threshold'] if opts.data.get('schedulers_use_thresholding', False) else []
- values += ['low order'] if opts.data.get('schedulers_use_loworder', True) else []
- values += ['rescale beta'] if opts.data.get('schedulers_rescale_betas', False) else []
- sampler_options = gr.CheckboxGroup(label='Sampler options', choices=choices, value=values, type='value')
- sampler_options.change(fn=set_sampler_diffuser_options, inputs=[sampler_options], outputs=[])
- return steps, sampler_index
-
-
-def create_sampler_inputs(tab):
- from modules import sd_samplers
- with gr.Accordion(open=False, label="Sampler", elem_id=f"{tab}_sampler", elem_classes=["small-accordion"]):
- with FormRow(elem_id=f"{tab}_row_sampler"):
- sd_samplers.set_samplers()
- steps, sampler_index = create_sampler_and_steps_selection(sd_samplers.samplers, tab)
- return steps, sampler_index
-
-
-def create_hires_inputs(tab):
- with gr.Accordion(open=False, label="Second pass", elem_id=f"{tab}_second_pass", elem_classes=["small-accordion"]):
- with FormGroup():
- with FormRow(elem_id=f"{tab}_hires_row1"):
- enable_hr = gr.Checkbox(label='Enable second pass', value=False, elem_id=f"{tab}_enable_hr")
- with FormRow(elem_id=f"{tab}_hires_row2"):
- hr_sampler_index = gr.Dropdown(label='Secondary sampler', elem_id=f"{tab}_sampling_alt", choices=[x.name for x in modules.sd_samplers.samplers], value='Default', type="index")
- denoising_strength = gr.Slider(minimum=0.0, maximum=0.99, step=0.01, label='Denoising strength', value=0.5, elem_id=f"{tab}_denoising_strength")
- with FormRow(elem_id=f"{tab}_hires_finalres", variant="compact"):
- hr_final_resolution = FormHTML(value="", elem_id=f"{tab}_hr_finalres", label="Upscaled resolution", interactive=False)
- with FormRow(elem_id=f"{tab}_hires_fix_row1", variant="compact"):
- hr_upscaler = gr.Dropdown(label="Upscaler", elem_id=f"{tab}_hr_upscaler", choices=[*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]], value=shared.latent_upscale_default_mode)
- hr_force = gr.Checkbox(label='Force Hires', value=False, elem_id=f"{tab}_hr_force")
- with FormRow(elem_id=f"{tab}_hires_fix_row2", variant="compact"):
- hr_second_pass_steps = gr.Slider(minimum=0, maximum=99, step=1, label='Hires steps', elem_id=f"{tab}_steps_alt", value=20)
- hr_scale = gr.Slider(minimum=1.0, maximum=8.0, step=0.05, label="Upscale by", value=2.0, elem_id=f"{tab}_hr_scale")
- with FormRow(elem_id=f"{tab}_hires_fix_row3", variant="compact"):
- hr_resize_x = gr.Slider(minimum=0, maximum=4096, step=8, label="Resize width to", value=0, elem_id=f"{tab}_hr_resize_x")
- hr_resize_y = gr.Slider(minimum=0, maximum=4096, step=8, label="Resize height to", value=0, elem_id=f"{tab}_hr_resize_y")
- with FormGroup(visible=shared.backend == shared.Backend.DIFFUSERS):
- with FormRow(elem_id=f"{tab}_refiner_row1", variant="compact"):
- refiner_start = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Refiner start', value=0.8, 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=5)
- with FormRow(elem_id=f"{tab}_refiner_row3", variant="compact"):
- refiner_prompt = gr.Textbox(value='', label='Secondary prompt', elem_id=f"{tab}_refiner_prompt")
- with FormRow(elem_id="txt2img_refiner_row4", variant="compact"):
- refiner_negative = gr.Textbox(value='', label='Secondary negative prompt', elem_id=f"{tab}_refiner_neg_prompt")
- return enable_hr, hr_sampler_index, denoising_strength, hr_final_resolution, 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 get_value_for_setting(key):
value = getattr(opts, key)
info = opts.data_labels[key]
@@ -501,417 +113,29 @@ def ordered_ui_categories():
return ['dimensions', 'sampler', 'seed', 'denoising', 'cfg', 'checkboxes', 'accordions', 'override_settings', 'scripts'] # a1111 compatibility item, not implemented
-def create_override_inputs(tab): # pylint: disable=unused-argument
- with FormRow(elem_id=f"{tab}_override_settings_row"):
- override_settings = gr.Dropdown([], value=None, label="Override settings", visible=False, elem_id=f"{tab}_override_settings", multiselect=True)
- override_settings.change(fn=lambda x: gr.Dropdown.update(visible=len(x) > 0), inputs=[override_settings], outputs=[override_settings])
- return override_settings
-
-
def create_ui(startup_timer = None):
if startup_timer is None:
timer.startup = timer.Timer()
- reload_javascript()
+ ui_javascript.reload_javascript()
generation_parameters_copypaste.reset()
- import modules.txt2img # pylint: disable=redefined-outer-name
- modules.scripts.scripts_current = modules.scripts.scripts_txt2img
- modules.scripts.scripts_txt2img.initialize_scripts(is_img2img=False)
with gr.Blocks(analytics_enabled=False) as txt2img_interface:
- txt2img_prompt, txt2img_prompt_styles, txt2img_negative_prompt, txt2img_submit, _interrogate, _deepbooru, txt2img_paste, txt2img_extra_networks_button, txt2img_token_counter, txt2img_token_button, txt2img_negative_token_counter, txt2img_negative_token_button = create_toprow(is_img2img=False, id_part="txt2img")
+ from modules import ui_txt2img
+ ui_txt2img.create_ui()
+ timer.startup.record("ui-txt2img")
- txt_prompt_img = gr.File(label="", elem_id="txt2img_prompt_image", file_count="single", type="binary", visible=False)
- txt_prompt_img.change(fn=modules.images.image_data, inputs=[txt_prompt_img], outputs=[txt2img_prompt, txt_prompt_img])
-
- with FormRow(variant='compact', elem_id="txt2img_extra_networks", visible=False) as extra_networks_ui:
- from modules import ui_extra_networks
- extra_networks_ui = ui_extra_networks.create_ui(extra_networks_ui, txt2img_extra_networks_button, 'txt2img', skip_indexing=opts.extra_network_skip_indexing)
- timer.startup.record('ui-extra-networks')
-
- with gr.Row(elem_id="txt2img_interface", equal_height=False):
- with gr.Column(variant='compact', elem_id="txt2img_settings"):
-
- with FormRow():
- width = gr.Slider(minimum=64, maximum=4096, step=8, label="Width", value=512, elem_id="txt2img_width")
- height = gr.Slider(minimum=64, maximum=4096, step=8, label="Height", value=512, elem_id="txt2img_height")
- res_switch_btn = ToolButton(value=ui_symbols.switch, elem_id="txt2img_res_switch_btn", label="Switch dims")
- res_switch_btn.click(lambda w, h: (h, w), inputs=[width, height], outputs=[width, height], show_progress=False)
-
- with FormGroup(elem_classes="settings-accordion"):
-
- steps, sampler_index = create_sampler_inputs('txt2img')
- batch_count, batch_size = create_batch_inputs('txt2img')
- seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w = create_seed_inputs('txt2img')
- cfg_scale, clip_skip, image_cfg_scale, diffusers_guidance_rescale, full_quality, restore_faces, tiling, hdr_clamp, hdr_boundary, hdr_threshold, hdr_center, hdr_channel_shift, hdr_full_shift, hdr_maximize, hdr_max_center, hdr_max_boundry = create_advanced_inputs('txt2img')
- enable_hr, hr_sampler_index, denoising_strength, hr_final_resolution, hr_upscaler, hr_force, hr_second_pass_steps, hr_scale, hr_resize_x, hr_resize_y, refiner_steps, refiner_start, refiner_prompt, refiner_negative = create_hires_inputs('txt2img')
- override_settings = create_override_inputs('txt2img')
-
- txt2img_script_inputs = modules.scripts.scripts_txt2img.setup_ui()
-
- hr_resolution_preview_inputs = [width, height, hr_scale, hr_resize_x, hr_resize_y, hr_upscaler]
- for preview_input in hr_resolution_preview_inputs:
- preview_input.change(
- fn=calc_resolution_hires,
- _js="onCalcResolutionHires",
- inputs=hr_resolution_preview_inputs,
- outputs=[hr_final_resolution],
- show_progress=False,
- )
-
- txt2img_gallery, txt2img_generation_info, txt2img_html_info, _txt2img_html_info_formatted, txt2img_html_log = ui_common.create_output_panel("txt2img")
- connect_reuse_seed(seed, reuse_seed, txt2img_generation_info, is_subseed=False)
- connect_reuse_seed(subseed, reuse_subseed, txt2img_generation_info, is_subseed=True)
-
- global txt2img_args # pylint: disable=global-statement
- dummy_component = gr.Textbox(visible=False, value='dummy')
- txt2img_args = [
- dummy_component,
- txt2img_prompt, txt2img_negative_prompt, txt2img_prompt_styles,
- steps, sampler_index, hr_sampler_index,
- full_quality, restore_faces, tiling,
- batch_count, batch_size,
- cfg_scale, image_cfg_scale, diffusers_guidance_rescale,
- clip_skip,
- seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w,
- height, width,
- enable_hr, denoising_strength,
- hr_scale, hr_upscaler, hr_force, hr_second_pass_steps, hr_resize_x, hr_resize_y,
- refiner_steps, refiner_start, refiner_prompt, refiner_negative,
- hdr_clamp, hdr_boundary, hdr_threshold, hdr_center, hdr_channel_shift, hdr_full_shift, hdr_maximize, hdr_max_center, hdr_max_boundry,
- override_settings,
- ]
- txt2img_dict = dict(
- fn=wrap_gradio_gpu_call(modules.txt2img.txt2img, extra_outputs=[None, '', '']),
- _js="submit_txt2img",
- inputs=txt2img_args + txt2img_script_inputs,
- outputs=[
- txt2img_gallery,
- txt2img_generation_info,
- txt2img_html_info,
- txt2img_html_log,
- ],
- show_progress=False,
- )
- txt2img_prompt.submit(**txt2img_dict)
- txt2img_submit.click(**txt2img_dict)
-
- global txt2img_paste_fields # pylint: disable=global-statement
- txt2img_paste_fields = [
- # prompt
- (txt2img_prompt, "Prompt"),
- (txt2img_negative_prompt, "Negative prompt"),
- # main
- (width, "Size-1"),
- (height, "Size-2"),
- # sampler
- (sampler_index, "Sampler"),
- (steps, "Steps"),
- # batch
- (batch_count, "Batch-1"),
- (batch_size, "Batch-2"),
- # seed
- (seed, "Seed"),
- (subseed, "Variation seed"),
- (subseed_strength, "Variation strength"),
- # advanced
- (cfg_scale, "CFG scale"),
- (clip_skip, "Clip skip"),
- (image_cfg_scale, "Image CFG scale"),
- (diffusers_guidance_rescale, "CFG rescale"),
- (full_quality, "Full quality"),
- (restore_faces, "Face restoration"),
- (tiling, "Tiling"),
- # second pass
- (enable_hr, "Second pass"),
- (hr_sampler_index, "Hires sampler"),
- (denoising_strength, "Denoising strength"),
- (hr_upscaler, "Hires upscaler"),
- (hr_force, "Hires force"),
- (hr_second_pass_steps, "Hires steps"),
- (hr_scale, "Hires upscale"),
- (hr_resize_x, "Hires resize-1"),
- (hr_resize_y, "Hires resize-2"),
- # refiner
- (refiner_start, "Refiner start"),
- (refiner_steps, "Refiner steps"),
- (refiner_prompt, "Prompt2"),
- (refiner_negative, "Negative2"),
- # hidden
- (seed_resize_from_w, "Seed resize from-1"),
- (seed_resize_from_h, "Seed resize from-2"),
- *modules.scripts.scripts_txt2img.infotext_fields
- ]
- generation_parameters_copypaste.add_paste_fields("txt2img", None, txt2img_paste_fields, override_settings)
- txt2img_bindings = generation_parameters_copypaste.ParamBinding(paste_button=txt2img_paste, tabname="txt2img", source_text_component=txt2img_prompt, source_image_component=None)
- generation_parameters_copypaste.register_paste_params_button(txt2img_bindings)
-
- txt2img_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[txt2img_prompt, steps], outputs=[txt2img_token_counter])
- txt2img_negative_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[txt2img_negative_prompt, steps], outputs=[txt2img_negative_token_counter])
-
- ui_extra_networks.setup_ui(extra_networks_ui, txt2img_gallery)
-
- timer.startup.record("ui-txt2img")
-
- import modules.img2img # pylint: disable=redefined-outer-name
- modules.scripts.scripts_current = modules.scripts.scripts_img2img
- modules.scripts.scripts_img2img.initialize_scripts(is_img2img=True)
with gr.Blocks(analytics_enabled=False) as img2img_interface:
- img2img_prompt, img2img_prompt_styles, img2img_negative_prompt, submit, img2img_interrogate, img2img_deepbooru, img2img_paste, img2img_extra_networks_button, img2img_token_counter, img2img_token_button, img2img_negative_token_counter, img2img_negative_token_button = create_toprow(is_img2img=True, id_part="img2img")
- img2img_prompt_img = gr.File(label="", elem_id="img2img_prompt_image", file_count="single", type="binary", visible=False)
-
- with FormRow(variant='compact', elem_id="img2img_extra_networks", visible=False) as extra_networks_ui:
- from modules import ui_extra_networks
- extra_networks_ui_img2img = ui_extra_networks.create_ui(extra_networks_ui, img2img_extra_networks_button, 'img2img', skip_indexing=opts.extra_network_skip_indexing)
-
- with FormRow(elem_id="img2img_interface", equal_height=False):
- with gr.Column(variant='compact', elem_id="img2img_settings"):
- copy_image_buttons = []
- copy_image_destinations = {}
-
- def copy_image(img):
- return img['image'] if isinstance(img, dict) and 'image' in img else img
-
- def add_copy_image_controls(tab_name, elem):
- with gr.Row(variant="compact", elem_id=f"img2img_copy_to_{tab_name}"):
- for title, name in zip(['➠ Image', '➠ Sketch', '➠ Inpaint', '➠ Inpaint sketch'], ['img2img', 'sketch', 'inpaint', 'inpaint_sketch']):
- if name == tab_name:
- gr.Button(title, interactive=False)
- copy_image_destinations[name] = elem
- continue
- button = gr.Button(title)
- copy_image_buttons.append((button, name, elem))
-
- with gr.Tabs(elem_id="mode_img2img"):
- img2img_selected_tab = gr.State(0) # pylint: disable=abstract-class-instantiated
- with gr.TabItem('Image', id='img2img', elem_id="img2img_img2img_tab") as tab_img2img:
- init_img = gr.Image(label="Image for img2img", elem_id="img2img_image", show_label=False, source="upload", interactive=True, type="pil", tool="editor", image_mode="RGBA", height=512)
- add_copy_image_controls('img2img', init_img)
-
- with gr.TabItem('Sketch', id='img2img_sketch', elem_id="img2img_img2img_sketch_tab") as tab_sketch:
- sketch = gr.Image(label="Image for img2img", elem_id="img2img_sketch", show_label=False, source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=512)
- add_copy_image_controls('sketch', sketch)
-
- with gr.TabItem('Inpaint', id='inpaint', elem_id="img2img_inpaint_tab") as tab_inpaint:
- init_img_with_mask = gr.Image(label="Image for inpainting with mask", show_label=False, elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", image_mode="RGBA", height=512)
- add_copy_image_controls('inpaint', init_img_with_mask)
-
- with gr.TabItem('Inpaint sketch', id='inpaint_sketch', elem_id="img2img_inpaint_sketch_tab") as tab_inpaint_color:
- inpaint_color_sketch = gr.Image(label="Color sketch inpainting", show_label=False, elem_id="inpaint_sketch", source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=512)
- inpaint_color_sketch_orig = gr.State(None) # pylint: disable=abstract-class-instantiated
- add_copy_image_controls('inpaint_sketch', inpaint_color_sketch)
-
- def update_orig(image, state):
- if image is not None:
- same_size = state is not None and state.size == image.size
- has_exact_match = np.any(np.all(np.array(image) == np.array(state), axis=-1))
- edited = same_size and has_exact_match
- return image if not edited or state is None else state
- return state
-
- inpaint_color_sketch.change(update_orig, [inpaint_color_sketch, inpaint_color_sketch_orig], inpaint_color_sketch_orig)
-
- with gr.TabItem('Inpaint upload', id='inpaint_upload', elem_id="img2img_inpaint_upload_tab") as tab_inpaint_upload:
- init_img_inpaint = gr.Image(label="Image for img2img", show_label=False, source="upload", interactive=True, type="pil", elem_id="img_inpaint_base")
- init_mask_inpaint = gr.Image(label="Mask", source="upload", interactive=True, type="pil", elem_id="img_inpaint_mask")
-
- with gr.TabItem('Batch', id='batch', elem_id="img2img_batch_tab") as tab_batch:
- hidden = '
Disabled when launched with --hide-ui-dir-config.' if shared.cmd_opts.hide_ui_dir_config else ''
- gr.HTML(
- "Upload images or process images in a directory" +
- "
Add inpaint batch mask directory to enable inpaint batch processing"
- f"{hidden}
"
- )
- img2img_batch_files = gr.Files(label="Batch Process", interactive=True, elem_id="img2img_image_batch")
- img2img_batch_input_dir = gr.Textbox(label="Inpaint batch input directory", **shared.hide_dirs, elem_id="img2img_batch_input_dir")
- img2img_batch_output_dir = gr.Textbox(label="Inpaint batch output directory", **shared.hide_dirs, elem_id="img2img_batch_output_dir")
- img2img_batch_inpaint_mask_dir = gr.Textbox(label="Inpaint batch mask directory", **shared.hide_dirs, elem_id="img2img_batch_inpaint_mask_dir")
-
- img2img_tabs = [tab_img2img, tab_sketch, tab_inpaint, tab_inpaint_color, tab_inpaint_upload, tab_batch]
- for i, tab in enumerate(img2img_tabs):
- tab.select(fn=lambda tabnum=i: tabnum, inputs=[], outputs=[img2img_selected_tab])
-
- for button, name, elem in copy_image_buttons:
- button.click(fn=copy_image, inputs=[elem], outputs=[copy_image_destinations[name]])
- button.click(fn=lambda: None, _js=f"switch_to_{name.replace(' ', '_')}", inputs=[], outputs=[])
-
- with FormGroup(elem_classes="settings-accordion"):
-
- steps, sampler_index = create_sampler_inputs('img2img')
- resize_mode, resize_name, width, height, scale_by, selected_scale_tab, _resize_time = create_resize_inputs('img2img', [init_img, sketch])
- batch_count, batch_size = create_batch_inputs('img2img')
- seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w = create_seed_inputs('img2img')
-
- with gr.Accordion(open=False, label="Denoise", elem_classes=["small-accordion"], elem_id="img2img_denoise_group"):
- with FormRow():
- denoising_strength = gr.Slider(minimum=0.0, maximum=0.99, step=0.01, label='Denoising strength', value=0.50, elem_id="img2img_denoising_strength")
- refiner_start = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Denoise start', value=0.0, elem_id="img2img_refiner_start")
-
- cfg_scale, clip_skip, image_cfg_scale, diffusers_guidance_rescale, full_quality, restore_faces, tiling, hdr_clamp, hdr_boundary, hdr_threshold, hdr_center, hdr_channel_shift, hdr_full_shift, hdr_maximize, hdr_max_center, hdr_max_boundry = create_advanced_inputs('img2img')
-
- with FormGroup(elem_id="inpaint_controls", visible=False) as inpaint_controls:
- with FormRow():
- mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, elem_id="img2img_mask_blur")
- mask_alpha = gr.Slider(label="Mask transparency", visible=False, elem_id="img2img_mask_alpha")
- with FormRow():
- with gr.Column():
- inpainting_mask_invert = gr.Radio(label='Mask mode', choices=['Inpaint masked', 'Inpaint not masked'], value='Inpaint masked', type="index", elem_id="img2img_mask_mode")
- with gr.Column():
- inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'noise', 'nothing'], value='original', type="index", elem_id="img2img_inpainting_fill")
- with FormRow():
- with gr.Column():
- inpaint_full_res = gr.Radio(label="Inpaint area", choices=["Whole picture", "Only masked"], type="index", value="Whole picture", elem_id="img2img_inpaint_full_res")
- with gr.Column():
- inpaint_full_res_padding = gr.Slider(label='Masked padding', minimum=0, maximum=256, step=4, value=32, elem_id="img2img_inpaint_full_res_padding")
-
- def select_img2img_tab(tab):
- return gr.update(visible=tab in [2, 3, 4]), gr.update(visible=tab == 3)
-
- for i, elem in enumerate(img2img_tabs):
- elem.select(fn=lambda tab=i: select_img2img_tab(tab), inputs=[], outputs=[inpaint_controls, mask_alpha]) # pylint: disable=cell-var-from-loop
-
- override_settings = create_override_inputs('img2img')
-
- with FormGroup(elem_id="img2img_script_container"):
- img2img_script_inputs = modules.scripts.scripts_img2img.setup_ui()
-
- img2img_gallery, img2img_generation_info, img2img_html_info, _img2img_html_info_formatted, img2img_html_log = ui_common.create_output_panel("img2img")
-
- connect_reuse_seed(seed, reuse_seed, img2img_generation_info, is_subseed=False)
- connect_reuse_seed(subseed, reuse_subseed, img2img_generation_info, is_subseed=True)
-
- img2img_prompt_img.change(fn=modules.images.image_data, inputs=[img2img_prompt_img], outputs=[img2img_prompt, img2img_prompt_img])
- dummy_component1 = gr.Textbox(visible=False, value='dummy')
- dummy_component2 = gr.Number(visible=False, value=0)
- global img2img_args # pylint: disable=global-statement
- img2img_args = [
- dummy_component1, dummy_component2,
- img2img_prompt, img2img_negative_prompt, img2img_prompt_styles,
- init_img,
- sketch,
- init_img_with_mask,
- inpaint_color_sketch,
- inpaint_color_sketch_orig,
- init_img_inpaint,
- init_mask_inpaint,
- steps,
- sampler_index, hr_sampler_index,
- mask_blur, mask_alpha,
- inpainting_fill,
- full_quality, restore_faces, tiling,
- batch_count, batch_size,
- cfg_scale, image_cfg_scale,
- diffusers_guidance_rescale,
- refiner_steps,
- refiner_start,
- clip_skip,
- denoising_strength,
- seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w,
- selected_scale_tab,
- height, width,
- scale_by,
- resize_mode, resize_name,
- inpaint_full_res, inpaint_full_res_padding, inpainting_mask_invert,
- img2img_batch_files, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir,
- hdr_clamp, hdr_boundary, hdr_threshold, hdr_center, hdr_channel_shift, hdr_full_shift, hdr_maximize, hdr_max_center, hdr_max_boundry,
- override_settings,
- ]
- img2img_dict = dict(
- fn=wrap_gradio_gpu_call(modules.img2img.img2img, extra_outputs=[None, '', '']),
- _js="submit_img2img",
- inputs= img2img_args + img2img_script_inputs,
- outputs=[
- img2img_gallery,
- img2img_generation_info,
- img2img_html_info,
- img2img_html_log,
- ],
- show_progress=False,
- )
- img2img_prompt.submit(**img2img_dict)
- submit.click(**img2img_dict)
- dummy_component = gr.Textbox(visible=False, value='dummy')
-
- interrogate_args = dict(
- _js="get_img2img_tab_index",
- inputs=[
- dummy_component,
- img2img_batch_files,
- img2img_batch_input_dir,
- img2img_batch_output_dir,
- init_img,
- sketch,
- init_img_with_mask,
- inpaint_color_sketch,
- init_img_inpaint,
- ],
- outputs=[img2img_prompt, dummy_component],
- )
- img2img_interrogate.click(fn=lambda *args: process_interrogate(interrogate, *args), **interrogate_args)
- img2img_deepbooru.click(fn=lambda *args: process_interrogate(interrogate_deepbooru, *args), **interrogate_args)
-
- img2img_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[img2img_prompt, steps], outputs=[img2img_token_counter])
- img2img_negative_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[img2img_negative_prompt, steps], outputs=[img2img_negative_token_counter])
-
- ui_extra_networks.setup_ui(extra_networks_ui_img2img, img2img_gallery)
- global img2img_paste_fields # pylint: disable=global-statement
- img2img_paste_fields = [
- # prompt
- (img2img_prompt, "Prompt"),
- (img2img_negative_prompt, "Negative prompt"),
- # sampler
- (sampler_index, "Sampler"),
- (steps, "Steps"),
- # resize
- (resize_mode, "Resize mode"),
- (width, "Size-1"),
- (height, "Size-2"),
- (scale_by, "Resize scale"),
- # batch
- (batch_count, "Batch-1"),
- (batch_size, "Batch-2"),
- # seed
- (seed, "Seed"),
- (subseed, "Variation seed"),
- (subseed_strength, "Variation strength"),
- # denoise
- (denoising_strength, "Denoising strength"),
- (refiner_start, "Refiner start"),
- # advanced
- (cfg_scale, "CFG scale"),
- (image_cfg_scale, "Image CFG scale"),
- (clip_skip, "Clip skip"),
- (diffusers_guidance_rescale, "CFG rescale"),
- (full_quality, "Full quality"),
- (restore_faces, "Face restoration"),
- (tiling, "Tiling"),
- # inpaint
- (mask_blur, "Mask blur"),
- (mask_alpha, "Mask alpha"),
- (inpainting_mask_invert, "Mask invert"),
- (inpainting_fill, "Masked content"),
- (inpaint_full_res, "Mask area"),
- (inpaint_full_res_padding, "Masked padding"),
- # hidden
- (seed_resize_from_w, "Seed resize from-1"),
- (seed_resize_from_h, "Seed resize from-2"),
- *modules.scripts.scripts_img2img.infotext_fields
- ]
- generation_parameters_copypaste.add_paste_fields("img2img", init_img, img2img_paste_fields, override_settings)
- generation_parameters_copypaste.add_paste_fields("inpaint", init_img_with_mask, img2img_paste_fields, override_settings)
- img2img_bindings = generation_parameters_copypaste.ParamBinding(paste_button=img2img_paste, tabname="img2img", source_text_component=img2img_prompt, source_image_component=None)
- generation_parameters_copypaste.register_paste_params_button(img2img_bindings)
-
- timer.startup.record("ui-img2img")
+ from modules import ui_img2img
+ ui_img2img.create_ui()
+ timer.startup.record("ui-img2img")
modules.scripts.scripts_current = None
- if shared.backend == shared.Backend.DIFFUSERS:
- with gr.Blocks(analytics_enabled=False) as control_interface:
+ with gr.Blocks(analytics_enabled=False) as control_interface:
+ if shared.backend == shared.Backend.DIFFUSERS:
from modules import ui_control
ui_control.create_ui()
timer.startup.record("ui-control")
- else:
- control_interface = None
with gr.Blocks(analytics_enabled=False) as extras_interface:
from modules import ui_postprocessing
@@ -920,7 +144,7 @@ def create_ui(startup_timer = None):
with gr.Blocks(analytics_enabled=False) as train_interface:
from modules import ui_train
- ui_train.create_ui([txt2img_prompt, txt2img_negative_prompt, steps, sampler_index, cfg_scale, seed, width, height])
+ ui_train.create_ui()
timer.startup.record("ui-train")
with gr.Blocks(analytics_enabled=False) as models_interface:
@@ -997,7 +221,6 @@ def create_ui(startup_timer = None):
components = []
component_dict = {}
shared.settings_components = component_dict
- dummy_component1 = gr.Label(visible=False)
script_callbacks.ui_settings_callback()
opts.reorder()
@@ -1071,6 +294,7 @@ def create_ui(startup_timer = None):
tab_item_keys = []
current_tab = None
current_row = None
+ dummy_component = gr.Textbox(visible=False, value='dummy')
with gr.Tabs(elem_id="settings"):
for i, (k, item) in enumerate(opts.data_labels.items()):
section_must_be_skipped = item.section[0] is None
@@ -1153,7 +377,7 @@ def create_ui(startup_timer = None):
for _interface, label, _ifid in interfaces:
shared.tab_names.append(label)
- with gr.Blocks(theme=theme.gradio_theme, analytics_enabled=False, title="SD.Next") as demo:
+ with gr.Blocks(theme=theme.gradio_theme, analytics_enabled=False, title="SD.Next") as ui_app:
with gr.Row(elem_id="quicksettings", variant="compact"):
for _i, k, _item in sorted(quicksettings_list, key=lambda x: quicksettings_names.get(x[1], x[0])):
component = create_setting_component(k, is_quicksettings=True)
@@ -1203,6 +427,7 @@ def create_ui(startup_timer = None):
show_progress=info.refresh is not None,
)
+ dummy_component = gr.Textbox(visible=False, value='dummy')
button_set_checkpoint = gr.Button('Change model', elem_id='change_checkpoint', visible=False)
button_set_checkpoint.click(
fn=lambda value, _: run_settings_single(value, key='sd_model_checkpoint'),
@@ -1246,7 +471,7 @@ def create_ui(startup_timer = None):
def get_settings_values():
return [get_value_for_setting(key) for key in component_keys]
- demo.load(
+ ui_app.load(
fn=get_settings_values,
inputs=[],
outputs=[component_dict[k] for k in component_keys if component_dict[k] is not None],
@@ -1255,99 +480,5 @@ def create_ui(startup_timer = None):
timer.startup.record("ui-defaults")
loadsave.dump_defaults()
- demo.ui_loadsave = loadsave
- return demo
-
-
-def webpath(fn):
- if fn.startswith(script_path):
- web_path = os.path.relpath(fn, script_path).replace('\\', '/')
- else:
- web_path = os.path.abspath(fn)
- return f'file={web_path}?{os.path.getmtime(fn)}'
-
-
-def html_head():
- head = ''
- main = ['script.js']
- for js in main:
- script_js = os.path.join(script_path, "javascript", js)
- head += f'\n'
- added = []
- for script in modules.scripts.list_scripts("javascript", ".js"):
- if script.filename in main:
- continue
- head += f'\n'
- added.append(script.path)
- for script in modules.scripts.list_scripts("javascript", ".mjs"):
- head += f'\n'
- added.append(script.path)
- added = [a.replace(script_path, '').replace('\\', '/') for a in added]
- # log.debug(f'Adding JS scripts: {added}')
- return head
-
-
-def html_body():
- body = ''
- inline = ''
- if opts.theme_style != 'Auto':
- inline += f"set_theme('{opts.theme_style.lower()}');"
- body += f'\n'
- return body
-
-
-def html_css(is_builtin: bool):
- added = []
-
- def stylesheet(fn):
- added.append(fn)
- return f''
-
- css = 'sdnext.css' if is_builtin else 'base.css'
- head = stylesheet(os.path.join(script_path, 'javascript', css))
- for cssfile in modules.scripts.list_files_with_name("style.css"):
- if not os.path.isfile(cssfile):
- continue
- head += stylesheet(cssfile)
- if opts.gradio_theme in theme.list_builtin_themes():
- head += stylesheet(os.path.join(script_path, "javascript", f"{opts.gradio_theme}.css"))
- if os.path.exists(os.path.join(data_path, "user.css")):
- head += stylesheet(os.path.join(data_path, "user.css"))
- added = [a.replace(script_path, '').replace('\\', '/') for a in added]
- # log.debug(f'Adding CSS stylesheets: {added}')
- return head
-
-
-def reload_javascript():
- is_builtin = theme.reload_gradio_theme()
- head = html_head()
- css = html_css(is_builtin)
- body = html_body()
-
- def template_response(*args, **kwargs):
- res = shared.GradioTemplateResponseOriginal(*args, **kwargs)
- res.body = res.body.replace(b'', f'{head}'.encode("utf8"))
- res.body = res.body.replace(b' ', f'{css}{body}'.encode("utf8"))
- res.init_headers()
- return res
-
- gradio.routes.templates.TemplateResponse = template_response
-
-
-def setup_ui_api(app):
- from pydantic import BaseModel, Field # pylint: disable=no-name-in-module
- from typing import List
-
- class QuicksettingsHint(BaseModel): # pylint: disable=too-few-public-methods
- name: str = Field(title="Name of the quicksettings field")
- label: str = Field(title="Label of the quicksettings field")
-
- def quicksettings_hint():
- return [QuicksettingsHint(name=k, label=v.label) for k, v in opts.data_labels.items()]
-
- app.add_api_route("/internal/quicksettings-hint", quicksettings_hint, methods=["GET"], response_model=List[QuicksettingsHint])
- app.add_api_route("/internal/ping", lambda: {}, methods=["GET"])
-
-
-if not hasattr(shared, 'GradioTemplateResponseOriginal'):
- shared.GradioTemplateResponseOriginal = gradio.routes.templates.TemplateResponse
+ ui_app.ui_loadsave = loadsave
+ return ui_app
diff --git a/modules/ui_common.py b/modules/ui_common.py
index 5c35e3f4c..a5bfa2e62 100644
--- a/modules/ui_common.py
+++ b/modules/ui_common.py
@@ -4,9 +4,11 @@ import os
import shutil
import platform
import subprocess
+from functools import reduce
import gradio as gr
-from modules import call_queue, shared
+from modules import call_queue, shared, prompt_parser
from modules.generation_parameters_copypaste import image_from_url_text, parse_generation_parameters
+from modules.ui_components import FormRow, ToolButton
import modules.ui_symbols as symbols
import modules.images
import modules.script_callbacks
@@ -17,6 +19,10 @@ debug = shared.log.trace if os.environ.get('SD_PASTE_DEBUG', None) is not None e
debug('Trace: PASTE')
+def gr_show(visible=True):
+ return {"visible": visible, "__type__": "update"}
+
+
def update_generation_info(generation_info, html_info, img_index):
try:
generation_info = json.loads(generation_info)
@@ -259,7 +265,6 @@ def create_output_panel(tabname, preview=True):
def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id, visible: bool = True):
-
def refresh():
refresh_method()
args = refreshed_args() if callable(refreshed_args) else refreshed_args
@@ -267,21 +272,86 @@ def create_refresh_button(refresh_component, refresh_method, refreshed_args, ele
setattr(refresh_component, k, v)
return gr.update(**(args or {}))
- from modules.ui_components import ToolButton
refresh_button = ToolButton(value=symbols.refresh, elem_id=elem_id, visible=visible)
refresh_button.click(fn=refresh, inputs=[], outputs=[refresh_component])
return refresh_button
-def create_browse_button(browse_component, elem_id):
+def create_browse_button(browse_component, elem_id):
def browse(folder):
# import subprocess
if folder is not None:
return gr.update(value = folder)
return gr.update()
- from modules.ui_components import ToolButton
browse_button = ToolButton(value=symbols.folder, elem_id=elem_id)
browse_button.click(fn=browse, _js="async () => await browseFolder()", inputs=[browse_component], outputs=[browse_component])
# browse_button.click(fn=browse, inputs=[browse_component], outputs=[browse_component])
return browse_button
+
+
+def create_override_inputs(tab): # pylint: disable=unused-argument
+ with FormRow(elem_id=f"{tab}_override_settings_row"):
+ override_settings = gr.Dropdown([], value=None, label="Override settings", visible=False, elem_id=f"{tab}_override_settings", multiselect=True)
+ override_settings.change(fn=lambda x: gr.Dropdown.update(visible=len(x) > 0), inputs=[override_settings], outputs=[override_settings])
+ return override_settings
+
+
+def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info: gr.Textbox, is_subseed):
+ """ Connects a 'reuse (sub)seed' button's click event so that it copies last used
+ (sub)seed value from generation info the to the seed field. If copying subseed and subseed strength
+ was 0, i.e. no variation seed was used, it copies the normal seed value instead."""
+ def copy_seed(gen_info_string: str, index: int):
+ res = -1
+ try:
+ gen_info = json.loads(gen_info_string)
+ shared.log.debug(f'Reuse: info={gen_info}')
+ index -= gen_info.get('index_of_first_image', 0)
+ index = int(index)
+
+ if is_subseed and gen_info.get('subseed_strength', 0) > 0:
+ all_subseeds = gen_info.get('all_subseeds', [-1])
+ res = all_subseeds[index if 0 <= index < len(all_subseeds) else 0]
+ else:
+ all_seeds = gen_info.get('all_seeds', [-1])
+ res = all_seeds[index if 0 <= index < len(all_seeds) else 0]
+ except json.decoder.JSONDecodeError:
+ if gen_info_string != '':
+ shared.log.error(f"Error parsing JSON generation info: {gen_info_string}")
+ return [res, gr_show(False)]
+
+ dummy_component = gr.Number(visible=False, value=0)
+ reuse_seed.click(fn=copy_seed, _js="(x, y) => [x, selected_gallery_index()]", show_progress=False, inputs=[generation_info, dummy_component], outputs=[seed, dummy_component])
+
+
+def update_token_counter(text, steps):
+ from modules import extra_networks, sd_hijack
+ try:
+ text, _ = extra_networks.parse_prompt(text)
+ _, prompt_flat_list, _ = prompt_parser.get_multicond_prompt_list([text])
+ prompt_schedules = prompt_parser.get_learned_conditioning_prompt_schedules(prompt_flat_list, steps)
+ except Exception:
+ prompt_schedules = [[[steps, text]]]
+
+ flat_prompts = reduce(lambda list1, list2: list1+list2, prompt_schedules)
+ prompts = [prompt_text for step, prompt_text in flat_prompts]
+ if shared.backend == shared.Backend.ORIGINAL:
+ token_count, max_length = max([sd_hijack.model_hijack.get_prompt_lengths(prompt) for prompt in prompts], key=lambda args: args[0])
+ elif shared.backend == shared.Backend.DIFFUSERS:
+ if shared.sd_model is not None and hasattr(shared.sd_model, 'tokenizer'):
+ tokenizer = shared.sd_model.tokenizer
+ if tokenizer is None:
+ token_count = 0
+ max_length = 75
+ else:
+ has_bos_token = tokenizer.bos_token_id is not None
+ has_eos_token = tokenizer.eos_token_id is not None
+ ids = [shared.sd_model.tokenizer(prompt) for prompt in prompts]
+ if len(ids) > 0 and hasattr(ids[0], 'input_ids'):
+ ids = [x.input_ids for x in ids]
+ token_count = max([len(x) for x in ids]) - int(has_bos_token) - int(has_eos_token)
+ max_length = tokenizer.model_max_length - int(has_bos_token) - int(has_eos_token)
+ else:
+ token_count = 0
+ max_length = 75
+ return f"