diff --git a/scripts/create_inspiration_images.py b/scripts/create_inspiration_images.py
index 6a20def8..2fd30578 100644
--- a/scripts/create_inspiration_images.py
+++ b/scripts/create_inspiration_images.py
@@ -2,44 +2,56 @@ 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 artists style image"
+        return "Create inspiration images"
 
     def show(self, is_img2img):
-        return not is_img2img
+        return True
 
     def ui(self, is_img2img):
-       return []
-    def show(self, is_img2img):
-        return not 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): #, max_snapshoots_num):
-        path = os.path.join("style_snapshoot", "artist")
-        if not os.path.exists(path):
-            os.makedirs(path) 
+    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
-        p.negative_prompt = "portrait photo"
-        f = open('artists.csv')
-        f_csv = csv.reader(f)        
-        for row in f_csv:
-            name = row[0]
-            artist_path = os.path.join(path, name)  
-            if not os.path.exists(artist_path):
-                os.mkdir(artist_path)  
-            if len(os.listdir(artist_path)) > 0:
-                continue
-            print(name)
-            p.prompt = name
-            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=70)
+        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