Update app.py

app.py

@@ -67,9 +67,9 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     return image, seed
 
 examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
+    "美味しい肉",
+    "馬に乗った宇宙飛行士",
+    "アニメ風の美少女",
 ]
 
 css="""
@@ -83,45 +83,45 @@ with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
-        # 日本語が入力できる [SD3 Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium) 
+        # 日本語が入力できる SD3 Medium
         """)
         
         with gr.Row():
             
             prompt = gr.Text(
-                label="Prompt",
+                label="プロンプト",
                 show_label=False,
                 max_lines=1,
-                placeholder="Enter your prompt",
+                placeholder="作りたい画像の特徴を入力してください",
                 container=False,
             )
             
-            run_button = gr.Button("Run", scale=0)
+            run_button = gr.Button("実行", scale=0)
         
-        result = gr.Image(label="Result", show_label=False)
+        result = gr.Image(label="結果", show_label=False)
 
-        with gr.Accordion("Advanced Settings", open=False):
+        with gr.Accordion("詳細設定", open=False):
             
             negative_prompt = gr.Text(
-                label="Negative prompt",
+                label="ネガティブプロンプト",
                 max_lines=1,
-                placeholder="Enter a negative prompt",
+                placeholder="画像から排除したい要素を入力してください",
             )
             
             seed = gr.Slider(
-                label="Seed",
+                label="乱数のシード",
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
                 value=0,
             )
             
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            randomize_seed = gr.Checkbox(label="ランダム生成", value=True)
             
             with gr.Row():
                 
                 width = gr.Slider(
-                    label="Width",
+                    label="横",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=64,
@@ -129,7 +129,7 @@ with gr.Blocks(css=css) as demo:
                 )
                 
                 height = gr.Slider(
-                    label="Height",
+                    label="縦",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=64,
@@ -139,7 +139,7 @@ with gr.Blocks(css=css) as demo:
             with gr.Row():
                 
                 guidance_scale = gr.Slider(
-                    label="Guidance scale",
+                    label="プロンプトの忠実さ",
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
@@ -147,7 +147,7 @@ with gr.Blocks(css=css) as demo:
                 )
                 
                 num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
+                    label="推論回数",
                     minimum=1,
                     maximum=50,
                     step=1,