update examples

app.py

@@ -83,9 +83,11 @@ def generate_image(ref_image, ref_image2, prompt, height=512, width=512, num_ste
 
 
 examples = [
-    ["assets/ref1.jpg", None, "A woman dancing in the dessert", 512, 768],
-    ["assets/ref1.jpg", "assets/ref_cat.jpg", "A woman holding a cat above her head", 768, 512],
-    ["assets/ref2.jpg", None, "A woman sitting on the beach near the sea", 512, 768],
+    ["assets/ref1.jpg", "A woman dancing in the dessert", 512, 768],
+    ["assets/ref1.jpg", "A woman holding a gray and white cat", 768, 512],
+    ["assets/ref2.jpg", "A woman having dinner at a table", 512, 768],
+    ["assets/ref3.jpg", "A woman walking in a park with trees and flowers", 512, 768],
+    ["assets/ref4.jpg", "A woman run across a busy street", 512, 768],
 
 ]
 
@@ -93,14 +95,15 @@ with gr.Blocks() as demo:
     # Top-level inputs that are always visible
     with gr.Row():
         gr.Markdown("""
-## Character Consistancy Image Generation based on Flux           
+## Character Consistancy Image Generation based on Flux
+- This model is continuously improving until it meets high standards for open-sourcing, currently good enough at generating consistent images of single human subject. 
 """)
 
     with gr.Row():
         with gr.Column():
             with gr.Row():
                 ref_image = gr.Image(type="pil", label="Upload Reference Subject Image", width=300)
-                ref_image2 = gr.Image(type="pil", label="[Optional] compliment or different category", width=200)
+                ref_image2 = gr.Image(type="pil", label="[Optional] complement image or additional image from different category", width=200)
             description = gr.Textbox(lines=2, placeholder="Describe the desired contents", label="Description Text")
             generate_btn = gr.Button("Generate Image")
 
@@ -113,20 +116,20 @@ with gr.Blocks() as demo:
                 ref_scale_slider = gr.Slider(minimum=0.0, maximum=2.0, value=1.0, step=0.1, label="Reference Image Scale")
     
         with gr.Column():
-            output = gr.Image(type="pil", label="Generated Image")
+            output = gr.Image(type="pil", label="Generated Image", )
             # with gr.Row():
-            with gr.Group():
-                with gr.Row(equal_height=True):
-                    with gr.Column(scale=1, min_width=50, ):
-                        randomize_checkbox = gr.Checkbox(label="Randomize Seed", value=True)
-                    with gr.Column(scale=3, min_width=100):
-                        seed_io = gr.Number(label="Seed (if not randomizing)", value=0, interactive=True, )
+            # with gr.Group():
+            #     with gr.Row(equal_height=True):
+            #         with gr.Column(scale=1, min_width=50, ):
+            #             randomize_checkbox = gr.Checkbox(label="Randomize Seed", value=True)
+            #         with gr.Column(scale=3, min_width=100):
+            #             seed_io = gr.Number(label="Seed (if not randomizing)", value=0, interactive=True, )
 
     with gr.Row():
         gr.Examples(
             label='Click on following examples to load and try',
             examples=examples,
-            inputs=[ref_image, ref_image2, description, height_slider, width_slider],
+            inputs=[ref_image, description, height_slider, width_slider],
             fn=generate_image,
             outputs=output,
             # example_labels=['Reference Subject', 'Additional Reference', 'Prompt', 'Height', 'Width'],