Update app.py

app.py

@@ -34,7 +34,7 @@ MODEL_CONFIGS = {
             "cfg": 7.0,
             "sampler": "DPM++ 2M Karras"
         },
-        "description": "WAI NSFW Illustrious v8.0 - 高质量插画风格模型"
+        "description": "WAI NSFW Illustrious v8.0 - High-quality illustration-style mockups"
     },
     "wai_nsfw_illustrious_v90": {
         "repo_id": "John6666/wai-nsfw-illustrious-v90-sdxl",
@@ -46,7 +46,7 @@ MODEL_CONFIGS = {
             "cfg": 7.0,
             "sampler": "DPM++ 2M Karras"
         },
-        "description": "WAI NSFW Illustrious v9.0 - 最新版本"
+        "description": "WAI NSFW Illustrious v9.0 - Latest version"
     },
     "wai_nsfw_illustrious_v110": {
         "repo_id": "John6666/wai-nsfw-illustrious-v110-sdxl",
@@ -58,7 +58,7 @@ MODEL_CONFIGS = {
             "cfg": 7.5,
             "sampler": "DPM++ 2M Karras"
         },
-        "description": "WAI NSFW Illustrious v11.0 - 增强版本"
+        "description": "WAI NSFW Illustrious v11.0 - Enhanced version"
     },
     "sdxl_base": {
         "repo_id": "stabilityai/stable-diffusion-xl-base-1.0",
@@ -70,7 +70,7 @@ MODEL_CONFIGS = {
             "cfg": 7.5,
             "sampler": "Default"
         },
-        "description": "Stable Diffusion XL Base 1.0 - 官方基础模型"
+        "description": "Stable Diffusion XL Base 1.0 - Official base model"
     },
     "realistic_vision": {
         "repo_id": "SG161222/RealVisXL_V4.0",
@@ -82,7 +82,7 @@ MODEL_CONFIGS = {
             "cfg": 7.5,
             "sampler": "Default"
         },
-        "description": "RealVisXL V4.0 - 高质量写实风格"
+        "description": "RealVisXL V4.0 - High-quality realistic style"
     },
     "anime_xl": {
         "repo_id": "Linaqruf/animagine-xl-3.1",
@@ -94,7 +94,7 @@ MODEL_CONFIGS = {
             "cfg": 7.0,
             "sampler": "Default"
         },
-        "description": "Animagine XL 3.1 - 动漫风格"
+        "description": "Animagine XL 3.1 - Anime style"
     },
     "juggernaut_xl": {
         "repo_id": "RunDiffusion/Juggernaut-XL-v9",
@@ -106,7 +106,7 @@ MODEL_CONFIGS = {
             "cfg": 7.5,
             "sampler": "Default"
         },
-        "description": "Juggernaut XL v9 - 通用高质量模型"
+        "description": "Juggernaut XL v9 - Universal high-quality models"
     }
 }
 
@@ -148,43 +148,43 @@ OPTIONAL_LORAS = {
         "repo_id": None,
         "weight": 0.0,
         "trigger_words": "",
-        "description": "不使用额外LoRA"
+        "description": "No additional LoRA"
     },
     "Offset Noise": {
         "repo_id": "stabilityai/stable-diffusion-xl-offset-example-lora",
         "weight": 0.7,
         "trigger_words": "high contrast, dramatic lighting",
-        "description": "增强对比度和光照效果"
+        "description": "Enhance contrast and lighting effects"
     },
     "LCM LoRA": {
         "repo_id": "latent-consistency/lcm-lora-sdxl",
         "weight": 0.8,
         "trigger_words": "high quality",
-        "description": "快速生成模式"
+        "description": "Rapid Generation Mode"
     },
     "Pixel Art": {
         "repo_id": "nerijs/pixel-art-xl",
         "weight": 0.9,
         "trigger_words": "pixel art style, 8bit, retro",
-        "description": "像素艺术风格"
+        "description": "Pixel art style"
     },
     "Watercolor": {
         "repo_id": "ostris/watercolor-style-lora-sdxl",
         "weight": 0.8,
         "trigger_words": "watercolor painting, soft colors",
-        "description": "水彩画风格"
+        "description": "Watercolor style"
     },
     "Sketch": {
         "repo_id": "ostris/crayon-style-lora-sdxl",
         "weight": 0.7,
         "trigger_words": "sketch style, pencil drawing",
-        "description": "素描风格"
+        "description": "Sketch Style"
     },
     "Portrait": {
         "repo_id": "ostris/face-helper-sdxl-lora",
         "weight": 0.8,
         "trigger_words": "portrait, beautiful face, detailed eyes",
-        "description": "肖像和面部增强"
+        "description": "Portrait and face enhancement"
     }
 }
 
@@ -482,11 +482,11 @@ def generate_image(
         return (
             image,
             metadata_str,
-            f"✅ 生成成功! 种子: {seed}"
+            f"✅ Generate successfully! Seed: {seed}"
         )
         
     except Exception as e:
-        error_msg = f"生成失败: {str(e)}"
+        error_msg = f"Build Failure: {str(e)}"
         print(f"❌ {error_msg}")
         return None, error_msg, error_msg
 
@@ -517,12 +517,12 @@ def create_interface():
             margin: 10px 0;
         }
         """,
-        title="AI图像生成器 - Illustrious XL多模型版"
+        title="AI Image Generator - Illustrious XL Multi-model version"
     ) as demo:
         
         gr.Markdown("""
-        # 🎨 AI图像生成器 - Illustrious XL多模型版
-        ### 支持多种SDXL模型自由切换 | 灵活的LoRA组合 | 优化的参数配置
+        # 🎨 AI Image Generator - Illustrious XL Multi-Model Edition
+        ### Flexible switching between multiple SDXL models | Flexible LoRa combinations | Optimized parameter configuration
         """, elem_classes=["model-card"])
         
         with gr.Row():
@@ -531,42 +531,42 @@ def create_interface():
                 
                 # 模型选择
                 with gr.Group(elem_classes=["control-section"]):
-                    gr.Markdown("### 📦 模型选择")
+                    gr.Markdown("### 📦 Model selection")
                     model_dropdown = gr.Dropdown(
                         choices=[(config["description"], key) for key, config in MODEL_CONFIGS.items()],
                         value=DEFAULT_MODEL_KEY,
-                        label="基础模型",
-                        info="选择不同的模型以获得不同的风格"
+                        label="Basic Model",
+                        info="Choose different models to get different styles"
                     )
                     model_info = gr.Markdown(MODEL_CONFIGS[DEFAULT_MODEL_KEY]["description"])
                 
                 # 提示词输入
                 with gr.Group(elem_classes=["control-section"]):
-                    gr.Markdown("### ✍️ 提示词")
+                    gr.Markdown("### ✍️ Prompt")
                     prompt_input = gr.Textbox(
-                        label="正面提示词",
-                        placeholder="描述你想要生成的图像...",
+                        label="Prompt",
+                        placeholder="Describe the image you want to generate...",
                         lines=4,
                         max_lines=20
                     )
                     
                     negative_prompt_input = gr.Textbox(
-                        label="负面提示词(留空使用模型默认)",
-                        placeholder="将自动使用所选模型的推荐负面提示词...",
+                        label="Negative Prompt(Leave blank to use the model default)",
+                        placeholder="The recommended negative prompt words of the selected model will be automatically used...",
                         lines=3,
                         max_lines=15
                     )
                     
                     style_radio = gr.Radio(
                         choices=list(STYLE_PROMPTS.keys()),
-                        label="风格模板",
+                        label="Style Template",
                         value="None",
-                        info="将自动添加到提示词前"
+                        info="Will be automatically added before the prompt word"
                     )
                 
                 # 基础参数
                 with gr.Group(elem_classes=["control-section"]):
-                    gr.Markdown("### ⚙️ 基础参数")
+                    gr.Markdown("### ⚙️ Basic Parameters")
                     
                     with gr.Row():
                         seed_input = gr.Slider(
@@ -574,7 +574,7 @@ def create_interface():
                             maximum=99999999,
                             step=1,
                             value=DEFAULT_SEED,
-                            label="种子 (-1=随机)"
+                            label="Seed (-1=Random)"
                         )
                     
                     with gr.Row():
@@ -583,14 +583,14 @@ def create_interface():
                             maximum=1536,
                             step=64,
                             value=DEFAULT_WIDTH,
-                            label="宽度"
+                            label="Width"
                         )
                         height_input = gr.Slider(
                             minimum=512,
                             maximum=1536,
                             step=64,
                             value=DEFAULT_HEIGHT,
-                            label="高度"
+                            label="High"
                         )
                     
                     with gr.Row():
@@ -599,7 +599,7 @@ def create_interface():
                             maximum=100,
                             step=1,
                             value=DEFAULT_STEPS,
-                            label="采样步数"
+                            label="Sampling Steps"
                         )
                         cfg_slider = gr.Slider(
                             minimum=1.0,
@@ -611,20 +611,20 @@ def create_interface():
                 
                 # LoRA配置
                 with gr.Group(elem_classes=["control-section"]):
-                    gr.Markdown("### 🎭 LoRA配置")
+                    gr.Markdown("### 🎭 LoRA Configuration")
                     
                     use_fixed_loras = gr.Checkbox(
-                        label="启用固定LoRA增强(质量+细节)",
+                        label="Fixed LoRA enhancement (quality + details)",
                         value=True,
-                        info="自动加载质量和细节增强LoRA"
+                        info="Automatically load quality and detail enhancements for LoRA"
                     )
                     
                     lora_dropdown = gr.Dropdown(
                         choices=list(OPTIONAL_LORAS.keys()),
-                        label="额外LoRA(可多选)",
+                        label="Additional LoRA (multiple selections possible)",
                         value=["None"],
                         multiselect=True,
-                        info="选择额外的风格LoRA"
+                        info="Select additional styles LoRA"
                     )
                     
                     lora_scale_slider = gr.Slider(
@@ -632,34 +632,34 @@ def create_interface():
                         maximum=1.5,
                         step=0.05,
                         value=DEFAULT_LORA_SCALE,
-                        label="LoRA强度"
+                        label="LoRA Strength"
                     )
                 
                 # 生成按钮
                 generate_btn = gr.Button(
-                    "✨ 生成图像", 
+                    "✨ Generat", 
                     variant="primary", 
                     size="lg"
                 )
                 
                 status_text = gr.Textbox(
-                    label="状态",
-                    value="准备就绪",
+                    label="Status",
+                    value="Ready",
                     interactive=False
                 )
             
             # 右侧 - 输出
             with gr.Column(scale=2):
                 image_output = gr.Image(
-                    label="生成的图像", 
+                    label="Generated image", 
                     height=600,
                     format="webp"
                 )
                 
-                gr.Markdown("**右键点击图像下载**")
+                gr.Markdown("**Right click on the image to download**")
                 
                 metadata_output = gr.Textbox(
-                    label="生成元数据 (JSON)",
+                    label="Generated metadata",
                     lines=15,
                     max_lines=25
                 )