inspiration finished

javascript/inspiration.js

 function public_image_index_in_gallery(item, gallery){
+    var imgs = gallery.querySelectorAll("img.h-full")
     var index;
     var i = 0;
-    gallery.querySelectorAll("img").forEach(function(e){
+    imgs.forEach(function(e){
         if (e == item)
             index = i;
         i += 1;
     });
+    var num = imgs.length / 2
+    index = (index < num) ? index : (index - num)
     return index;
 }
 
-function inspiration_selected(name, types, name_list){
+function inspiration_selected(name, name_list){
     var btn = gradioApp().getElementById("inspiration_select_button")
-    return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index"), types];
-}    
+    return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index")];
+}   
+function inspiration_click_get_button(){
+    gradioApp().getElementById("inspiration_get_button").click();
+}  
 var inspiration_image_click = function(){
     var index =  public_image_index_in_gallery(this, gradioApp().getElementById("inspiration_gallery"));
-    var btn = gradioApp().getElementById("inspiration_select_button")
-    btn.setAttribute("img-index", index)
-    setTimeout(function(btn){btn.click();}, 10, btn)
+    var btn = gradioApp().getElementById("inspiration_select_button");
+    btn.setAttribute("img-index", index);
+    setTimeout(function(btn){btn.click();}, 10, btn);
 }
-
+ 
 document.addEventListener("DOMContentLoaded", function() {
     var mutationObserver = new MutationObserver(function(m){
         var gallery = gradioApp().getElementById("inspiration_gallery")
@@ -27,11 +33,10 @@ document.addEventListener("DOMContentLoaded", function() {
             var node = gallery.querySelector(".absolute.backdrop-blur.h-full")
             if (node) {
                 node.style.display = "None"; //parentNode.removeChild(node) 
-            }
-            
+            } 
             gallery.querySelectorAll('img').forEach(function(e){    
                 e.onclick = inspiration_image_click
-        }) 
+            });
 
         }
 

modules/shared.py

@@ -316,6 +316,12 @@ 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(('inspiration', "Inspiration"), {
+    "inspiration_dir": OptionInfo("inspiration", "Directory of inspiration", component_args=hide_dirs),
+    "inspiration_max_samples": OptionInfo(4, "Maximum number of samples, used to determine which folders to skip when continue running the create script", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
+    "inspiration_rows_num":  OptionInfo(4, "Rows of inspiration interface frame", gr.Slider, {"minimum": 4, "maximum": 16, "step": 1}),
+    "inspiration_cols_num":  OptionInfo(8, "Columns of inspiration interface frame", gr.Slider, {"minimum": 4, "maximum": 16, "step": 1}),
+}))
 
 class Options:
     data = None

modules/ui.py

@@ -1180,7 +1180,7 @@ def create_ui(wrap_gradio_gpu_call):
     }
 
     browser_interface = images_history.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
-    inspiration_interface = inspiration.ui(gr, opts)
+    inspiration_interface = inspiration.ui(gr, opts, txt2img_prompt, img2img_prompt)
 
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):

webui.py

@@ -72,6 +72,7 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
     return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
 
 def initialize():
+    modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
     if cmd_opts.ui_debug_mode:
         class enmpty():
             name = None
@@ -84,7 +85,7 @@ def initialize():
     shared.face_restorers.append(modules.face_restoration.FaceRestoration())
     modelloader.load_upscalers()
 
-    modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
+    
 
     shared.sd_model = modules.sd_models.load_model()
     shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))