汉化

app.py

@@ -12,7 +12,7 @@ import spaces
 import torch
 from diffusers import AutoencoderKL, DiffusionPipeline
 
-DESCRIPTION = "# SDXL"
+DESCRIPTION = "# AI 作画"
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
 
@@ -130,8 +130,8 @@ def generate(
 
 
 examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
+    "宇航员在丛林中，冷色调，柔和的色彩，细节，8k",
+    "一只熊猫戴着草帽，在湖面上划船，电影风格，4K",
 ]
 
 with gr.Blocks(css="style.css") as demo:
@@ -144,72 +144,72 @@ with gr.Blocks(css="style.css") as demo:
     with gr.Group():
         with gr.Row():
             prompt = gr.Text(
-                label="Prompt",
+                label="提示词",
                 show_label=False,
                 max_lines=1,
-                placeholder="Enter your prompt",
+                placeholder="输入要生成的画面内容",
                 container=False,
             )
-            run_button = gr.Button("Run", scale=0)
-        result = gr.Image(label="Result", show_label=False)
-    with gr.Accordion("Advanced options", open=False):
+            run_button = gr.Button("生成", scale=0)
+        result = gr.Image(label="生成结果", show_label=False)
+    with gr.Accordion("高级选项", open=False):
         with gr.Row():
-            use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=False)
-            use_prompt_2 = gr.Checkbox(label="Use prompt 2", value=False)
-            use_negative_prompt_2 = gr.Checkbox(label="Use negative prompt 2", value=False)
+            use_negative_prompt = gr.Checkbox(label="使用反向提示词", value=False)
+            use_prompt_2 = gr.Checkbox(label="使用提示词 2", value=False)
+            use_negative_prompt_2 = gr.Checkbox(label="使用反向提示词 2", value=False)
         negative_prompt = gr.Text(
-            label="Negative prompt",
+            label="反向提示词",
             max_lines=1,
-            placeholder="Enter a negative prompt",
+            placeholder="输入不想在画面中出现的内容，比如：“胡子”，“人群”",
             visible=False,
         )
         prompt_2 = gr.Text(
-            label="Prompt 2",
+            label="提示词 2",
             max_lines=1,
-            placeholder="Enter your prompt",
+            placeholder="输入你的提示词",
             visible=False,
-        )
         negative_prompt_2 = gr.Text(
-            label="Negative prompt 2",
+        )
+            label="反向提示词 2",
             max_lines=1,
-            placeholder="Enter a negative prompt",
+            placeholder="输入你的反向提示词",
             visible=False,
         )
 
         seed = gr.Slider(
-            label="Seed",
+            label="种子数",
             minimum=0,
             maximum=MAX_SEED,
             step=1,
             value=0,
         )
-        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+        randomize_seed = gr.Checkbox(label="随机种子数", value=True)
         with gr.Row():
             width = gr.Slider(
-                label="Width",
+                label="宽",
                 minimum=256,
                 maximum=MAX_IMAGE_SIZE,
                 step=32,
-                value=1024,
+                value=736,
             )
             height = gr.Slider(
-                label="Height",
+                label="高",
                 minimum=256,
                 maximum=MAX_IMAGE_SIZE,
                 step=32,
                 value=1024,
             )
-        apply_refiner = gr.Checkbox(label="Apply refiner", value=False, visible=ENABLE_REFINER)
+        apply_refiner = gr.Checkbox(label="增加精炼模型（refiner）", value=False, visible=ENABLE_REFINER)
         with gr.Row():
             guidance_scale_base = gr.Slider(
-                label="Guidance scale for base",
+                label="提示词相关性",
                 minimum=1,
                 maximum=20,
                 step=0.1,
-                value=5.0,
+                value=7.5,
             )
             num_inference_steps_base = gr.Slider(
-                label="Number of inference steps for base",
+                label="模型迭代步数",
                 minimum=10,
                 maximum=100,
                 step=1,
@@ -217,14 +217,14 @@ with gr.Blocks(css="style.css") as demo:
             )
         with gr.Row(visible=False) as refiner_params:
             guidance_scale_refiner = gr.Slider(
-                label="Guidance scale for refiner",
+                label="提示词相关性（refiner）",
                 minimum=1,
                 maximum=20,
                 step=0.1,
-                value=5.0,
+                value=7.5,
             )
             num_inference_steps_refiner = gr.Slider(
-                label="Number of inference steps for refiner",
+                label="模型迭代步数（refiner）",
                 minimum=10,
                 maximum=100,
                 step=1,
@@ -305,4 +305,4 @@ with gr.Blocks(css="style.css") as demo:
     )
 
 if __name__ == "__main__":
-    demo.queue(max_size=20).launch()
+    demo.queue(max_size=30).launch()