only edit button

app.py

@@ -82,7 +82,6 @@ class FluxEditor_lore_demo:
         resized_pil = pil_mask.resize((width, height), Image.NEAREST)  # width first!
         return np.array(resized_pil)
 
-    @spaces.GPU(duration=120)
     def inverse(self, brush_canvas,src_prompt, 
                 inversion_num_steps, injection_num_steps, 
                 inversion_guidance,
@@ -286,13 +285,15 @@ def create_demo(model_name: str):
         <b>LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing.</b><br>
         <b>Here are editing steps:</b> <br>
         1️⃣ Upload your source image. <br>
-        2️⃣ Fill in your source prompt and click the "Inverse" button to perform image inversion. <br>
-        3️⃣ Use the brush tool to draw your mask. (on layer 1) <br>
-        4️⃣ Fill in your target prompt, then adjust the hyperparameters. <br>
+        2️⃣ Fill in your source prompt and use the brush tool to draw your mask. (on layer 1) <br>
+        3️⃣ Fill in your target prompt, target object and its index in target prompt (index start from 0).
+        4️⃣ Adjust the hyperparameters. <br>
         5️⃣ Click the "Edit" button to generate your edited image! <br>
-        6️⃣ If source image and prompt are not changed, you can click 'Edit' for next generation. <br>
+
+        🎨 [<b>Examples</b>] Click our examples below, draw your mask and click the "Edit" button. <br>
         
         🔔 [<b>Note</b>] Due to limited resources, we will resize image to <=800 longside. <br>
+        go to https://github.com/oyly16/LORE for more usage. <br>
         """
     article = r"""
     https://github.com/oyly16/LORE 
@@ -318,7 +319,6 @@ def create_demo(model_name: str):
                                                 container=True,
                                                 format='png',scale=1)
                 
-                inv_btn = gr.Button("inverse")
                 edit_btn = gr.Button("edit")
                 
                 
@@ -334,14 +334,6 @@ def create_demo(model_name: str):
                 
                 output_image = gr.Image(label="Generated Image")
                 gr.Markdown(article)
-        inv_btn.click(
-            fn=editor.inverse,
-            inputs=[brush_canvas,src_prompt, 
-                    inversion_num_steps, injection_num_steps, 
-                    inversion_guidance,
-                    ],
-            outputs=[output_image]
-        )
         edit_btn.click(
             fn=editor.edit,
             inputs=[brush_canvas,src_prompt,inversion_guidance,