Merge branch 'master' into on-image-saved-callback

.gitignore

@@ -29,3 +29,4 @@ notification.mp3
 /textual_inversion
 .vscode
 /extensions
+

README.md

@@ -72,7 +72,7 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
 - No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
 - DeepDanbooru integration, creates danbooru style tags for anime prompts (add --deepdanbooru to commandline args)
 - [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)
-- History tab: view, direct and delete images conveniently within the UI
+- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
 - Generate forever option
 - Training tab
      - hypernetworks and embeddings options
@@ -95,6 +95,16 @@ git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-grad
 After running this command, make sure that you have `aesthetic-gradients` dir in webui's `extensions` directory and restart
 the UI. The interface for Aesthetic Gradients should appear exactly the same as it was.
 
+## Where is History/Image browser?!?!
+Image browser is now an extension. You can install it using git:
+
+```commandline
+git clone https://github.com/yfszzx/stable-diffusion-webui-images-browser extensions/images-browser
+```
+
+After running this command, make sure that you have `images-browser` dir in webui's `extensions` directory and restart
+the UI. The interface for Image browser should appear exactly the same as it was.
+
 ## Installation and Running
 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
 

javascript/hints.js

@@ -62,8 +62,8 @@ titles = {
 
     "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.",
 
-    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
     "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",
 
     "Loopback": "Process an image, use it as an input, repeat.",

javascript/images_history.js

-var images_history_click_image = function(){
-    if (!this.classList.contains("transform")){        
-        var gallery = images_history_get_parent_by_class(this, "images_history_cantainor");
-        var buttons = gallery.querySelectorAll(".gallery-item");
-        var i = 0;
-        var hidden_list = [];
-        buttons.forEach(function(e){
-            if (e.style.display == "none"){
-                hidden_list.push(i);
-            }
-            i += 1;
-        })
-        if (hidden_list.length > 0){
-            setTimeout(images_history_hide_buttons, 10, hidden_list, gallery);
-        }        
-    }    
-    images_history_set_image_info(this); 
-}
-
-function images_history_disabled_del(){
-    gradioApp().querySelectorAll(".images_history_del_button").forEach(function(btn){
-        btn.setAttribute('disabled','disabled');
-    }); 
-}
-
-function images_history_get_parent_by_class(item, class_name){
-    var parent = item.parentElement;
-    while(!parent.classList.contains(class_name)){
-        parent = parent.parentElement;
-    }
-    return parent;  
-}
-
-function images_history_get_parent_by_tagname(item, tagname){
-    var parent = item.parentElement;
-    tagname = tagname.toUpperCase()
-    while(parent.tagName != tagname){
-        parent = parent.parentElement;
-    }  
-    return parent;
-}
-
-function images_history_hide_buttons(hidden_list, gallery){
-    var buttons = gallery.querySelectorAll(".gallery-item");
-    var num = 0;
-    buttons.forEach(function(e){
-        if (e.style.display == "none"){
-            num += 1;
-        }
-    });
-    if (num == hidden_list.length){
-        setTimeout(images_history_hide_buttons, 10, hidden_list, gallery);
-    } 
-    for( i in hidden_list){
-        buttons[hidden_list[i]].style.display = "none";
-    }    
-}
-
-function images_history_set_image_info(button){
-    var buttons = images_history_get_parent_by_tagname(button, "DIV").querySelectorAll(".gallery-item");
-    var index = -1;
-    var i = 0;
-    buttons.forEach(function(e){
-        if(e == button){
-            index = i;
-        }
-        if(e.style.display != "none"){
-            i += 1;
-        }        
-    });
-    var gallery = images_history_get_parent_by_class(button, "images_history_cantainor");
-    var set_btn = gallery.querySelector(".images_history_set_index");
-    var curr_idx = set_btn.getAttribute("img_index", index);  
-    if (curr_idx != index) {
-        set_btn.setAttribute("img_index", index);        
-        images_history_disabled_del();
-    }
-    set_btn.click();
-    
-}
-
-function images_history_get_current_img(tabname, img_index, files){
-    return [
-        tabname, 
-        gradioApp().getElementById(tabname + '_images_history_set_index').getAttribute("img_index"),         
-        files
-    ];
-}
-
-function images_history_delete(del_num, tabname, image_index){
-    image_index = parseInt(image_index);
-    var tab = gradioApp().getElementById(tabname + '_images_history');
-    var set_btn = tab.querySelector(".images_history_set_index");
-    var buttons = [];
-    tab.querySelectorAll(".gallery-item").forEach(function(e){
-        if (e.style.display != 'none'){
-            buttons.push(e);
-        }
-    });    
-    var img_num = buttons.length / 2;
-    del_num = Math.min(img_num - image_index, del_num)    
-    if (img_num <= del_num){
-        setTimeout(function(tabname){
-            gradioApp().getElementById(tabname + '_images_history_renew_page').click();
-        }, 30, tabname); 
-    } else {
-        var next_img  
-        for (var i = 0; i < del_num; i++){
-            buttons[image_index + i].style.display = 'none';
-            buttons[image_index + i + img_num].style.display = 'none';
-            next_img = image_index + i + 1
-        }
-        var bnt;
-        if (next_img  >= img_num){
-            btn = buttons[image_index - 1];
-        } else {            
-            btn = buttons[next_img];          
-        } 
-        setTimeout(function(btn){btn.click()}, 30, btn);
-    }
-    images_history_disabled_del();  
-   
-}
-
-function images_history_turnpage(tabname){
-    gradioApp().getElementById(tabname + '_images_history_del_button').setAttribute('disabled','disabled');
-    var buttons = gradioApp().getElementById(tabname + '_images_history').querySelectorAll(".gallery-item");
-    buttons.forEach(function(elem) {
-        elem.style.display = 'block';
-    })   
-}
-
-function images_history_enable_del_buttons(){
-    gradioApp().querySelectorAll(".images_history_del_button").forEach(function(btn){
-        btn.removeAttribute('disabled');
-    })
-}
-
-function images_history_init(){ 
-    var tabnames = gradioApp().getElementById("images_history_tabnames_list")   
-    if (tabnames){  
-        images_history_tab_list = tabnames.querySelector("textarea").value.split(",")    
-        for (var i in images_history_tab_list ){
-            var tab = images_history_tab_list[i];
-            gradioApp().getElementById(tab + '_images_history').classList.add("images_history_cantainor");
-            gradioApp().getElementById(tab + '_images_history_set_index').classList.add("images_history_set_index");
-            gradioApp().getElementById(tab + '_images_history_del_button').classList.add("images_history_del_button");
-            gradioApp().getElementById(tab + '_images_history_gallery').classList.add("images_history_gallery");  
-             gradioApp().getElementById(tab + "_images_history_start").setAttribute("style","padding:20px;font-size:25px");           
-        }
-
-        //preload
-        if (gradioApp().getElementById("images_history_preload").querySelector("input").checked ){
-            var tabs_box = gradioApp().getElementById("tab_images_history").querySelector("div").querySelector("div").querySelector("div");
-            tabs_box.setAttribute("id", "images_history_tab");        
-            var tab_btns = tabs_box.querySelectorAll("button"); 
-            for (var i in images_history_tab_list){               
-                var tabname = images_history_tab_list[i]
-                tab_btns[i].setAttribute("tabname", tabname);
-                tab_btns[i].addEventListener('click', function(){
-                    var tabs_box = gradioApp().getElementById("images_history_tab");
-                    if (!tabs_box.classList.contains(this.getAttribute("tabname"))) {
-                        gradioApp().getElementById(this.getAttribute("tabname") + "_images_history_start").click();
-                        tabs_box.classList.add(this.getAttribute("tabname"))
-                    }                
-                });
-            }            
-            tab_btns[0].click()
-        }
-    } else {
-        setTimeout(images_history_init, 500);
-    } 
-}
-
-var images_history_tab_list = "";
-setTimeout(images_history_init, 500);
-document.addEventListener("DOMContentLoaded", function() {
-    var mutationObserver = new MutationObserver(function(m){
-        if (images_history_tab_list != ""){
-            for (var i in images_history_tab_list ){
-                let tabname = images_history_tab_list[i]
-                var buttons = gradioApp().querySelectorAll('#' + tabname + '_images_history .gallery-item');
-                buttons.forEach(function(bnt){    
-                    bnt.addEventListener('click', images_history_click_image, true);
-                });
-
-                var cls_btn = gradioApp().getElementById(tabname + '_images_history_gallery').querySelector("svg");
-                if (cls_btn){
-                    cls_btn.addEventListener('click', function(){
-                        gradioApp().getElementById(tabname + '_images_history_renew_page').click();
-                    }, false);
-                }
-
-            }     
-        }
-    });
-    mutationObserver.observe(gradioApp(), { childList:true, subtree:true });
-});
-
-

javascript/localization.js

@@ -108,6 +108,9 @@ function processNode(node){
 
 function dumpTranslations(){
     dumped = {}
+    if (localization.rtl) {
+        dumped.rtl = true
+    }
 
     Object.keys(original_lines).forEach(function(text){
         if(dumped[text] !== undefined)  return
@@ -129,6 +132,24 @@ onUiUpdate(function(m){
 
 document.addEventListener("DOMContentLoaded", function() {
     processNode(gradioApp())
+
+    if (localization.rtl) {  // if the language is from right to left,
+        (new MutationObserver((mutations, observer) => { // wait for the style to load
+            mutations.forEach(mutation => {
+                mutation.addedNodes.forEach(node => {
+                    if (node.tagName === 'STYLE') {
+                        observer.disconnect();
+
+                        for (const x of node.sheet.rules) {  // find all rtl media rules
+                            if (Array.from(x.media || []).includes('rtl')) {
+                                x.media.appendMedium('all');  // enable them
+                            }
+                        }
+                    }
+                })
+            });
+        })).observe(gradioApp(), { childList: true });
+    }
 })
 
 function download_localization() {

modules/api/api.py

-from modules.api.processing import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
+from modules.api.models import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
 from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.sd_samplers import all_samplers
 from modules.extras import run_pnginfo

modules/processing.py

@@ -46,18 +46,23 @@ def apply_color_correction(correction, image):
 
     return image
 
-def apply_overlay(overlay_exists, overlay, paste_loc, image):
-    if overlay_exists:
-        if paste_loc is not None:
-            x, y, w, h = paste_loc
-            base_image = Image.new('RGBA', (overlay.width, overlay.height))
-            image = images.resize_image(1, image, w, h)
-            base_image.paste(image, (x, y))
-            image = base_image
-
-        image = image.convert('RGBA')
-        image.alpha_composite(overlay)
-        image = image.convert('RGB')
+
+def apply_overlay(image, paste_loc, index, overlays):
+    if overlays is None or index >= len(overlays):
+        return image
+
+    overlay = overlays[index]
+
+    if paste_loc is not None:
+        x, y, w, h = paste_loc
+        base_image = Image.new('RGBA', (overlay.width, overlay.height))
+        image = images.resize_image(1, image, w, h)
+        base_image.paste(image, (x, y))
+        image = base_image
+
+    image = image.convert('RGBA')
+    image.alpha_composite(overlay)
+    image = image.convert('RGB')
 
     return image
 
@@ -463,11 +468,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
 
                 if p.color_corrections is not None and i < len(p.color_corrections):
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
-                        image_without_cc = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)
+                        image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)
                         images.save_image(image_without_cc, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
                     image = apply_color_correction(p.color_corrections[i], image)
 
-                image = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)
+                image = apply_overlay(image, p.paste_to, i, p.overlay_images)
 
                 if opts.samples_save and not p.do_not_save_samples:
                     images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)

modules/script_callbacks.py

+import sys
+import traceback
+from collections import namedtuple
+import inspect
 
+
+def report_exception(c, job):
+    print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
+    print(traceback.format_exc(), file=sys.stderr)
+
+
+ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
@@ -11,22 +22,38 @@ def clear_callbacks():
 
 
 def model_loaded_callback(sd_model):
-    for callback in callbacks_model_loaded:
-        callback(sd_model)
+    for c in callbacks_model_loaded:
+        try:
+            c.callback(sd_model)
+        except Exception:
+            report_exception(c, 'model_loaded_callback')
 
 
 def ui_tabs_callback():
     res = []
-
-    for callback in callbacks_ui_tabs:
-        res += callback() or []
+    
+    for c in callbacks_ui_tabs:
+        try:
+            res += c.callback() or []
+        except Exception:
+            report_exception(c, 'ui_tabs_callback')
 
     return res
 
 
 def ui_settings_callback():
-    for callback in callbacks_ui_settings:
-        callback()
+    for c in callbacks_ui_settings:
+        try:
+            c.callback()
+        except Exception:
+            report_exception(c, 'ui_settings_callback')
+
+
+def add_callback(callbacks, fun):
+    stack = [x for x in inspect.stack() if x.filename != __file__]
+    filename = stack[0].filename if len(stack) > 0 else 'unknown file'
+
+    callbacks.append(ScriptCallback(filename, fun))
 
 
 def image_saved_callback(image, p, fullfn, txt_fullfn):
@@ -36,7 +63,7 @@ def image_saved_callback(image, p, fullfn, txt_fullfn):
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
     passed as an argument"""
-    callbacks_model_loaded.append(callback)
+    add_callback(callbacks_model_loaded, callback)
 
 
 def on_ui_tabs(callback):
@@ -49,7 +76,7 @@ def on_ui_tabs(callback):
     title is tab text displayed to user in the UI
     elem_id is HTML id for the tab
     """
-    callbacks_ui_tabs.append(callback)
+    add_callback(callbacks_ui_tabs, callback)
 
 
 def on_ui_settings(callback):

modules/sd_samplers.py

@@ -228,7 +228,7 @@ class VanillaStableDiffusionSampler:
             unconditional_conditioning = {"c_concat": [image_conditioning], "c_crossattn": [unconditional_conditioning]}
             
             
-        samples = self.launch_sampling(steps, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
+        samples = self.launch_sampling(t_enc + 1, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
 
         return samples
 
@@ -429,7 +429,7 @@ class KDiffusionSampler:
         self.model_wrap_cfg.init_latent = x
         self.last_latent = x
 
-        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
+        samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
             'cond': conditioning, 
             'image_cond': image_conditioning, 
             'uncond': unconditional_conditioning, 

modules/shared.py

@@ -80,12 +80,13 @@ parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencode
 parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
 parser.add_argument("--api", action='store_true', help="use api=True to launch the api with the webui")
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
+parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
 parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
-parser.add_argument("--browse-all-images", action='store_true', help="Allow browsing all images by Image Browser", default=False)
 
 cmd_opts = parser.parse_args()
 restricted_opts = [
     "samples_filename_pattern",
+    "directories_filename_pattern",
     "outdir_samples",
     "outdir_txt2img_samples",
     "outdir_img2img_samples",
@@ -190,7 +191,8 @@ options_templates = {}
 options_templates.update(options_section(('saving-images', "Saving images/grids"), {
     "samples_save": OptionInfo(True, "Always save all generated images"),
     "samples_format": OptionInfo('png', 'File format for images'),
-    "samples_filename_pattern": OptionInfo("", "Images filename pattern"),
+    "samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs),
+    "save_images_add_number": OptionInfo(True, "Add number to filename when saving", component_args=hide_dirs),
 
     "grid_save": OptionInfo(True, "Always save all generated image grids"),
     "grid_format": OptionInfo('png', 'File format for grids'),
@@ -225,8 +227,8 @@ options_templates.update(options_section(('saving-to-dirs', "Saving to a directo
     "save_to_dirs": OptionInfo(False, "Save images to a subdirectory"),
     "grid_save_to_dirs": OptionInfo(False, "Save grids to a subdirectory"),
     "use_save_to_dirs_for_ui": OptionInfo(False, "When using \"Save\" button, save images to a subdirectory"),
-    "directories_filename_pattern": OptionInfo("", "Directory name pattern"),
-    "directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
+    "directories_filename_pattern": OptionInfo("", "Directory name pattern", component_args=hide_dirs),
+    "directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1, **hide_dirs}),
 }))
 
 options_templates.update(options_section(('upscaling', "Upscaling"), {
@@ -320,15 +322,6 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
 }))
 
-options_templates.update(options_section(('images-history', "Images Browser"), {
-    #"images_history_reconstruct_directory": OptionInfo(False, "Reconstruct output directory structure.This can greatly improve the speed of loading , but will change the original output directory structure"),
-    "images_history_preload": OptionInfo(False, "Preload images at startup"),
-    "images_history_num_per_page": OptionInfo(36, "Number of pictures displayed on each page"),
-    "images_history_pages_num": OptionInfo(6, "Minimum number of pages per load "),   
-    "images_history_grid_num": OptionInfo(6, "Number of grids in each row"),   
-
-}))
-
 
 class Options:
     data = None
@@ -357,7 +350,7 @@ class Options:
 
     def save(self, filename):
         with open(filename, "w", encoding="utf8") as file:
-            json.dump(self.data, file)
+            json.dump(self.data, file, indent=4)
 
     def same_type(self, x, y):
         if x is None or y is None:

modules/ui.py

@@ -38,7 +38,6 @@ import modules.codeformer_model
 import modules.generation_parameters_copypaste
 import modules.gfpgan_model
 import modules.hypernetworks.ui
-import modules.images_history as img_his
 import modules.ldsr_model
 import modules.scripts
 import modules.shared as shared
@@ -51,12 +50,11 @@ from modules.sd_samplers import samplers, samplers_for_img2img
 import modules.textual_inversion.ui
 import modules.hypernetworks.ui
 
-import modules.images_history as img_his
-
-
 # this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
 mimetypes.init()
 mimetypes.add_type('application/javascript', '.js')
+txt2img_paste_fields = []
+img2img_paste_fields = []
 
 
 if not cmd_opts.share and not cmd_opts.listen:
@@ -786,6 +784,7 @@ def create_ui(wrap_gradio_gpu_call):
                 ]
             )
 
+            global txt2img_paste_fields 
             txt2img_paste_fields = [
                 (txt2img_prompt, "Prompt"),
                 (txt2img_negative_prompt, "Negative prompt"),
@@ -1056,6 +1055,7 @@ def create_ui(wrap_gradio_gpu_call):
                     outputs=[prompt, negative_prompt, style1, style2],
                 )
 
+            global img2img_paste_fields
             img2img_paste_fields = [
                 (img2img_prompt, "Prompt"),
                 (img2img_negative_prompt, "Negative prompt"),
@@ -1104,9 +1104,9 @@ def create_ui(wrap_gradio_gpu_call):
                                 upscaling_resize_w = gr.Number(label="Width", value=512, precision=0)
                                 upscaling_resize_h = gr.Number(label="Height", value=512, precision=0)
                             upscaling_crop = gr.Checkbox(label='Crop to fit', value=True)
-
+                
                 with gr.Group():
-                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
+                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index") 
 
                 with gr.Group():
                     extras_upscaler_2 = gr.Radio(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
@@ -1193,15 +1193,7 @@ def create_ui(wrap_gradio_gpu_call):
             inputs=[image],
             outputs=[html, generation_info, html2],
         )
-    #images history
-    images_history_switch_dict = {
-        "fn": modules.generation_parameters_copypaste.connect_paste,
-        "t2i": txt2img_paste_fields,
-        "i2i": img2img_paste_fields
-    }
-
-    images_history = img_his.create_history_tabs(gr, opts, cmd_opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
-
+   
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):
@@ -1650,7 +1642,6 @@ Requested path was: {f}
         (img2img_interface, "img2img", "img2img"),
         (extras_interface, "Extras", "extras"),
         (pnginfo_interface, "PNG Info", "pnginfo"),
-        (images_history, "Image Browser", "images_history"),
         (modelmerger_interface, "Checkpoint Merger", "modelmerger"),
         (train_interface, "Train", "ti"),
     ]
@@ -1894,6 +1885,7 @@ def load_javascript(raw_response):
         javascript = f'<script>{jsfile.read()}</script>'
 
     scripts_list = modules.scripts.list_scripts("javascript", ".js")
+    
     for basedir, filename, path in scripts_list:
         with open(path, "r", encoding="utf8") as jsfile:
             javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"

style.css

@@ -515,3 +515,77 @@ img2maskimg, #img2maskimg > .h-60, #img2maskimg > .h-60 > div, #img2maskimg > .h
     max-height: 480px !important;
     min-height: 480px !important;
 }
+
+/* The following handles localization for right-to-left (RTL) languages like Arabic.
+The rtl media type will only be activated by the logic in javascript/localization.js.
+If you change anything above, you need to make sure it is RTL compliant by just running
+your changes through converters like https://cssjanus.github.io/ or https://rtlcss.com/.
+Then, you will need to add the RTL counterpart only if needed in the rtl section below.*/
+@media rtl {
+    /* this part was manualy added */
+    :host {
+        direction: rtl;
+    }
+    .output-html:has(.performance), .gr-text-input {
+        direction: ltr;
+    }
+    .gr-radio, .gr-checkbox{
+        margin-left: 0.25em;
+    }
+
+    /* this part was automatically generated with few manual modifications */
+    .performance .time {
+        margin-right: unset;
+        margin-left: 0;
+    }
+    .justify-center.overflow-x-scroll {
+        justify-content: right;
+    }
+    .justify-center.overflow-x-scroll button:first-of-type {
+        margin-left: unset;
+        margin-right: auto;
+    }
+    .justify-center.overflow-x-scroll button:last-of-type {
+        margin-right: unset;
+        margin-left: auto;
+    }
+    #settings fieldset span.text-gray-500, #settings .gr-block.gr-box span.text-gray-500, #settings label.block span{
+        margin-right: unset;
+        margin-left: 8em;
+    }
+    #txt2img_progressbar, #img2img_progressbar, #ti_progressbar{
+        right: unset;
+        left: 0;
+    }
+    .progressDiv .progress{
+        padding: 0 0 0 8px;
+        text-align: left;
+    }
+    #lightboxModal{
+        left: unset;
+        right: 0;
+    }
+    .modalPrev, .modalNext{
+        border-radius: 3px 0 0 3px;
+    }
+    .modalNext {
+        right: unset;
+        left: 0;
+        border-radius: 0 3px 3px 0;
+    }
+    #imageARPreview{
+        left:unset;
+        right:0px;
+    }
+    #txt2img_skip, #img2img_skip{
+        right: unset;
+        left: 0px;
+    }
+    #context-menu{
+        box-shadow:-1px 1px 2px #CE6400;
+    }
+    .gr-box > div > div > input.gr-text-input{
+        right: unset;
+        left: 0.5em;
+    }
+}

webui.py

@@ -9,7 +9,7 @@ from fastapi.middleware.gzip import GZipMiddleware
 
 from modules.paths import script_path
 
-from modules import devices, sd_samplers
+from modules import devices, sd_samplers, upscaler
 import modules.codeformer_model as codeformer
 import modules.extras
 import modules.face_restoration
@@ -73,6 +73,11 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
 
 
 def initialize():
+    if cmd_opts.ui_debug_mode:
+        shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
+        modules.scripts.load_scripts()
+        return
+
     modelloader.cleanup_models()
     modules.sd_models.setup_model()
     codeformer.setup_model(cmd_opts.codeformer_models_path)