Update app.py

app.py

@@ -19,20 +19,19 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
         
     generator = torch.Generator().manual_seed(seed)
     
     image = pipe(
-        prompt = prompt, 
-        negative_prompt = negative_prompt,
-        guidance_scale = guidance_scale, 
-        num_inference_steps = num_inference_steps, 
-        width = width, 
-        height = height,
-        generator = generator
+        prompt=prompt, 
+        negative_prompt=negative_prompt,
+        guidance_scale=guidance_scale, 
+        num_inference_steps=num_inference_steps, 
+        width=width, 
+        height=height,
+        generator=generator
     ).images[0] 
     
     return image
@@ -41,9 +40,12 @@ examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "An astronaut riding a green horse",
     "A delicious ceviche cheesecake slice",
+    "정글에 있는 우주 비행사, 차가운 색 팔레트, muted 색상, 상세한, 8k",
+    "녹색 말을 타고 있는 우주 비행사",
+    "맛있는 세비체 치즈케이크 조각",
 ]
 
-css="""
+css = """
 #col-container {
     margin: 0 auto;
     max-width: 520px;
@@ -60,87 +62,88 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
         # Text-to-Image Gradio Template
+        # 텍스트-이미지 생성기 Gradio 템플릿
         Currently running on {power_device}.
+        현재 {power_device}에서 실행 중입니다.
         """)
         
         with gr.Row():
-            
-            prompt = gr.Text(
-                label="Prompt",
+            prompt = gr.Textbox(
+                label="Prompt / 프롬프트",
                 show_label=False,
                 max_lines=1,
-                placeholder="Enter your prompt",
+                placeholder="Enter your prompt / 프롬프트를 입력하세요",
                 container=False,
             )
             
-            run_button = gr.Button("Run", scale=0)
+            run_button = gr.Button("Run / 실행", scale=0)
         
-        result = gr.Image(label="Result", show_label=False)
+        result = gr.Image(label="Result / 결과", show_label=False)
 
-        with gr.Accordion("Advanced Settings", open=False):
+        with gr.Accordion("Advanced Settings / 고급 설정", open=False):
             
-            negative_prompt = gr.Text(
-                label="Negative prompt",
+            negative_prompt = gr.Textbox(
+                label="Negative prompt / 네거티브 프롬프트",
                 max_lines=1,
-                placeholder="Enter a negative prompt",
+                placeholder="Enter a negative prompt / 네거티브 프롬프트를 입력하세요",
                 visible=False,
             )
             
             seed = gr.Slider(
-                label="Seed",
+                label="Seed / 시드",
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
                 value=0,
             )
             
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            randomize_seed = gr.Checkbox(label="Randomize seed / 시드 랜덤화", value=True)
             
             with gr.Row():
                 
                 width = gr.Slider(
-                    label="Width",
+                    label="Width / 너비",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=1024,
                 )
                 
                 height = gr.Slider(
-                    label="Height",
+                    label="Height / 높이",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=1024,
                 )
             
             with gr.Row():
                 
                 guidance_scale = gr.Slider(
-                    label="Guidance scale",
+                    label="Guidance scale / 가이던스 스케일",
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,
+                    value=7.5,
                 )
                 
                 num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
+                    label="Number of inference steps / 추론 단계 수",
                     minimum=1,
-                    maximum=12,
+                    maximum=50,
                     step=1,
-                    value=2,
+                    value=25,
                 )
         
         gr.Examples(
-            examples = examples,
-            inputs = [prompt]
+            examples=examples,
+            inputs=[prompt]
         )
 
     run_button.click(
-        fn = infer,
-        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs = [result]
+        fn=infer,
+        inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs=[result]
     )
 
-demo.queue().launch()
+demo.queue().launch()