remove browser to extension

modules/script_callbacks.py

+
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
@@ -15,6 +16,7 @@ def model_loaded_callback(sd_model):
 
 def ui_tabs_callback():
     res = []
+    
     for callback in callbacks_ui_tabs:
         res += callback() or []
 

modules/shared.py

@@ -82,7 +82,6 @@ parser.add_argument("--api", action='store_true', help="use api=True to launch t
 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 = [

modules/ui.py

@@ -1104,7 +1104,7 @@ def create_ui(wrap_gradio_gpu_call):
                             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")

scripts/create_inspiration_images.py

-import csv, os, shutil
-import modules.scripts as scripts
-from modules import processing, shared, sd_samplers, images
-from modules.processing import Processed
-from modules.shared import opts
-import gradio
-class Script(scripts.Script):
-    def title(self):
-        return "Create inspiration images"
-
-    def show(self, is_img2img):
-        return True
-
-    def ui(self, is_img2img):
-        file = gradio.Files(label="Artist or styles name list. '.txt' files with one name per line",)
-        with gradio.Row():
-            prefix = gradio.Textbox("a painting in", label="Prompt words before artist or style name", file_count="multiple")
-            suffix= gradio.Textbox("style", label="Prompt words after artist or style name")
-        negative_prompt = gradio.Textbox("picture frame, portrait photo", label="Negative Prompt")
-        with gradio.Row():
-            batch_size = gradio.Number(1, label="Batch size")
-            batch_count = gradio.Number(2, label="Batch count")            
-        return [batch_size, batch_count, prefix, suffix, negative_prompt, file]
-
-    def run(self, p, batch_size, batch_count, prefix, suffix, negative_prompt, files):
-        p.batch_size = int(batch_size)
-        p.n_iterint = int(batch_count)
-        p.negative_prompt = negative_prompt        
-        p.do_not_save_samples = True
-        p.do_not_save_grid = True        
-        for file in files:
-            tp = file.orig_name.split(".")[0]
-            print(tp)
-            path = os.path.join(opts.inspiration_dir, tp)
-            if not os.path.exists(path):
-                os.makedirs(path) 
-            f = open(file.name, "r")
-            line = f.readline() 
-            while len(line) > 0: 
-                name = line.rstrip("\n").split(",")[0]
-                line = f.readline() 
-                artist_path = os.path.join(path, name)  
-                if not os.path.exists(artist_path):
-                    os.mkdir(artist_path)  
-                if len(os.listdir(artist_path)) >= opts.inspiration_max_samples:
-                    continue
-                p.prompt = f"{prefix} {name} {suffix}"
-                print(p.prompt)
-                processed = processing.process_images(p)
-                for img in  processed.images:
-                    i = 0
-                    filename = os.path.join(artist_path,  format(0, "03d") + ".jpg")
-                    while os.path.exists(filename):
-                        i += 1
-                        filename = os.path.join(artist_path,  format(i, "03d") + ".jpg")
-                    img.save(filename, quality=80)
-        return processed