Update app.py

app.py

@@ -1,3 +1,4 @@
+# app.py  — 可直接替换你原项目中的文件
 import os
 import sys
 import logging
@@ -21,9 +22,9 @@ warnings.filterwarnings("ignore")
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
 logger = logging.getLogger(__name__)
 
-# 检查模型管理器是否存在
+# 检查模型管理器是否存在（注意：路径已调整为你指定的 model/modal_manager.py）
 try:
-    from models.model_manager import ModelManager
+    from model.modal_manager import ModelManager
     MODELS_AVAILABLE = True
     logger.info("模型管理器导入成功")
 except ImportError as e:
@@ -53,9 +54,15 @@ class SimpleModelManager:
         width = kwargs.get('width', 512)
         height = kwargs.get('height', 512)
         img = Image.new('RGB', (width, height), color=(200, 200, 200))
+        draw = ImageDraw.Draw(img)
+        try:
+            font = ImageFont.load_default()
+            draw.text((8, 8), prompt[:240], fill=(10,10,10), font=font)
+        except Exception:
+            pass
         return img
     
-    def generate_controlnet_image(self, image, prompt, **kwargs):
+    def generate_controlnet_image(self, image, prompt, reference_image=None, **kwargs):
         return self.generate_image(prompt, width=512, height=768)
     
     def cleanup(self):
@@ -84,8 +91,10 @@ class DesignState:
         self.design_direction = ""
         self.design_concepts = []
         self.generated_designs = []
+        self.generated_design_seeds = []
         self.selected_design_index = -1
         self.fitting_result = None
+        self.fitting_multiview = []
         
     def get_design_context(self):
         """获取完整的设计上下文，用于生成连贯的设计"""
@@ -146,821 +155,4 @@ def advanced_color_analysis(image):
         
         for i, (color, percentage) in enumerate(color_data):
             color_name = rgb_to_detailed_color_name(color)
-            color_emotion = get_color_emotion(color)
-            dominant_colors.append(color_name)
-            
-            color_palette[f"颜色{i+1}"] = {
-                "name": color_name,
-                "rgb": color.tolist(),
-                "hex": rgb_to_hex(color),
-                "percentage": f"{percentage:.1%}",
-                "emotion": color_emotion,
-                "fashion_application": get_fashion_application(color_name)
-            }
-        
-        return {
-            "dominant_colors": dominant_colors[:3],  # 前3种主要颜色
-            "color_palette": color_palette,
-            "color_harmony": analyze_color_harmony(colors[:3]),
-            "season_analysis": analyze_seasonal_colors(colors[:3])
-        }
-        
-    except Exception as e:
-        logger.error(f"高级颜色分析失败: {e}")
-        return {
-            "dominant_colors": ["经典色调"],
-            "color_palette": {"颜色1": {"name": "经典色调", "emotion": "中性"}},
-            "color_harmony": "单色调",
-            "season_analysis": "四季通用"
-        }
-
-def rgb_to_detailed_color_name(rgb):
-    """更详细的RGB到颜色名称转换"""
-    r, g, b = rgb
-    
-    # 转换到HSV空间进行更精确的颜色分类
-    h, s, v = colorsys.rgb_to_hsv(r/255.0, g/255.0, b/255.0)
-    h = h * 360
-    s = s * 100
-    v = v * 100
-    
-    # 基于HSV值进行精确分类
-    if v < 20:
-        return "深黑色"
-    elif v > 90 and s < 10:
-        return "纯白色"
-    elif s < 15:
-        if v < 30:
-            return "深灰色"
-        elif v < 70:
-            return "中灰色"
-        else:
-            return "浅灰色"
-    
-    # 彩色分类
-    color_ranges = [
-        (0, 15, "深红色"), (15, 45, "橙红色"), (45, 75, "金黄色"),
-        (75, 105, "草绿色"), (105, 135, "翠绿色"), (135, 165, "青绿色"),
-        (165, 195, "天蓝色"), (195, 225, "宝蓝色"), (225, 255, "紫蓝色"),
-        (255, 285, "紫色"), (285, 315, "紫红色"), (315, 345, "玫红色"),
-        (345, 360, "深红色")
-    ]
-    
-    for start, end, color_name in color_ranges:
-        if start <= h < end:
-            if v < 40:
-                return f"深{color_name}"
-            elif v > 80:
-                return f"亮{color_name}"
-            else:
-                return color_name
-    
-    return "混合色调"
-
-def rgb_to_hex(rgb):
-    """RGB转十六进制"""
-    return "#{:02x}{:02x}{:02x}".format(int(rgb[0]), int(rgb[1]), int(rgb[2]))
-
-def get_color_emotion(rgb):
-    """获取颜色的情感属性"""
-    r, g, b = rgb
-    
-    # 基于颜色心理学的情感映射
-    if r > 180 and g < 100 and b < 100:
-        return "热情、力量、激情"
-    elif r < 100 and g > 150 and b < 100:
-        return "自然、平静、成长"
-    elif r < 100 and g < 100 and b > 150:
-        return "专业、信任、稳定"
-    elif r > 150 and g > 150 and b < 100:
-        return "温暖、活力、创意"
-    elif r > 100 and g < 100 and b > 150:
-        return "神秘、高贵、优雅"
-    elif r < 50 and g < 50 and b < 50:
-        return "经典、正式、权威"
-    elif r > 200 and g > 200 and b > 200:
-        return "纯洁、简约、现代"
-    else:
-        return "平衡、和谐、中性"
-
-def get_fashion_application(color_name):
-    """获取颜色在时尚中的应用建议"""
-    applications = {
-        "深红色": "晚装、正装细节、配饰",
-        "橙红色": "夏季休闲、运动装、配饰",
-        "金黄色": "夏季单品、配饰、装饰细节",
-        "草绿色": "春夏装、休闲装、自然风格",
-        "翠绿色": "春装、度假装、民族风格",
-        "天蓝色": "衬衫、夏装、商务休闲",
-        "宝蓝色": "正装、晚装、经典款式",
-        "紫色": "晚装、艺术风格、个性单品",
-        "深黑色": "基础款、正装、经典设计",
-        "纯白色": "基础款、夏装、简约风格",
-        "深灰色": "商务装、基础款、现代风格"
-    }
-    
-    return applications.get(color_name, "通用时尚单品")
-
-def analyze_color_harmony(colors):
-    """分析颜色和谐度"""
-    if len(colors) < 2:
-        return "单色调"
-    
-    # 转换为HSV进行分析
-    hsv_colors = []
-    for color in colors:
-        h, s, v = colorsys.rgb_to_hsv(color[0]/255.0, color[1]/255.0, color[2]/255.0)
-        hsv_colors.append((h*360, s*100, v*100))
-    
-    h_values = [hsv[0] for hsv in hsv_colors]
-    
-    # 判断配色方案
-    h_diff = max(h_values) - min(h_values)
-    
-    if h_diff < 30:
-        return "同色系配色"
-    elif h_diff < 60:
-        return "相邻色配色"
-    elif 150 < h_diff < 210:
-        return "对比色配色"
-    else:
-        return "多色调配色"
-
-def analyze_seasonal_colors(colors):
-    """分析季节色彩倾向"""
-    # 计算平均饱和度和明度
-    total_s, total_v = 0, 0
-    
-    for color in colors:
-        h, s, v = colorsys.rgb_to_hsv(color[0]/255.0, color[1]/255.0, color[2]/255.0)
-        total_s += s
-        total_v += v
-    
-    avg_s = total_s / len(colors)
-    avg_v = total_v / len(colors)
-    
-    if avg_s > 0.6 and avg_v > 0.6:
-        return "春季色彩（明亮、清新）"
-    elif avg_s > 0.6 and avg_v < 0.6:
-        return "秋季色彩（浓郁、温暖）"
-    elif avg_s < 0.6 and avg_v > 0.6:
-        return "夏季色彩（柔和、清淡）"
-    else:
-        return "冬季色彩（深沉、对比）"
-
-def analyze_fabric_texture(image):
-    """分析面料和质地（基于图像特征）"""
-    try:
-        # 转换为灰度图进行纹理分析
-        gray_image = image.convert('L')
-        img_array = np.array(gray_image)
-        
-        # 计算纹理特征
-        # 1. 计算标准差（纹理粗糙度）
-        texture_variance = np.std(img_array)
-        
-        # 2. 计算边缘密度
-        from scipy import ndimage
-        edges = ndimage.sobel(img_array)
-        edge_density = np.mean(np.abs(edges))
-        
-        # 基于特征推断面料类型
-        if texture_variance < 20:
-            if edge_density < 10:
-                fabric_type = "丝绸"
-                texture = "光滑丝滑"
-            else:
-                fabric_type = "棉质"
-                texture = "柔软光滑"
-        elif texture_variance < 40:
-            fabric_type = "混纺"
-            texture = "适中质感"
-        else:
-            if edge_density > 30:
-                fabric_type = "牛仔"
-                texture = "粗糙硬挺"
-            else:
-                fabric_type = "毛呢"
-                texture = "厚实温暖"
-        
-        return {
-            "predicted_fabric": fabric_type,
-            "texture": texture,
-            "texture_score": texture_variance,
-            "edge_score": edge_density,
-            "fabric_properties": get_fabric_properties(fabric_type)
-        }
-        
-    except Exception as e:
-        logger.error(f"面料分析失败: {e}")
-        return {
-            "predicted_fabric": "棉质",
-            "texture": "舒适",
-            "fabric_properties": "透气、舒适、日常"
-        }
-
-def get_fabric_properties(fabric_type):
-    """获取面料特性"""
-    properties = {
-        "丝绸": "光泽感强、垂坠性好、高级感、适合正装",
-        "棉质": "透气舒适、日常休闲、易打理、四季适用",
-        "混纺": "结合优点、性价比高、适应性强、现代感",
-        "牛仔": "硬挺耐用、休闲风格、经典时尚、年轻活力",
-        "毛呢": "保暖性好、正式高级、秋冬首选、商务感强"
-    }
-    return properties.get(fabric_type, "舒适实用")
-
-def comprehensive_image_analysis(image_path, progress=gr.Progress()):
-    """综合图像分析 - 整合所有分析维度"""
-    try:
-        design_state.reset()
-        
-        if image_path is None:
-            return {}, {}, gr.Radio(choices=[]), gr.Gallery(value=[])
-        
-        progress(0.05, desc="加载图片...")
-        image = Image.open(image_path).convert('RGB')
-        design_state.original_image = image
-        
-        # 1. BLIP图像描述
-        progress(0.15, desc="AI图像理解中...")
-        try:
-            caption = model_manager.generate_caption(image)
-            design_state.image_caption = caption
-            logger.info(f"BLIP描述: {caption}")
-        except Exception as e:
-            logger.error(f"图像描述生成失败: {e}")
-            caption = "时尚服装设计作品"
-            design_state.image_caption = caption
-        
-        # 2. CLIP风格分析
-        progress(0.3, desc="AI风格识别中...")
-        try:
-            style_scores = model_manager.analyze_style(image)
-            design_state.style_analysis = style_scores
-            logger.info(f"风格分析: {style_scores}")
-        except Exception as e:
-            logger.error(f"风格分析失败: {e}")
-            style_scores = {"时尚潮流": 0.8, "现代风格": 0.6}
-            design_state.style_analysis = style_scores
-        
-        # 3. 高级颜色分析
-        progress(0.5, desc="深度颜色分析中...")
-        color_analysis = advanced_color_analysis(image)
-        design_state.color_analysis = color_analysis
-        
-        # 4. 面料质地分析
-        progress(0.7, desc="面料质地分析中...")
-        fabric_analysis = analyze_fabric_texture(image)
-        design_state.fabric_analysis = fabric_analysis
-        
-        # 5. 生成综合分析报告
-        progress(0.85, desc="生成分析报告...")
-        comprehensive_analysis = {
-            "基础信息": {
-                "图像描述": caption,
-                "图像尺寸": f"{image.width} x {image.height}",
-                "分析时间": time.strftime("%Y-%m-%d %H:%M:%S")
-            },
-            "风格分析": {
-                "主要风格": max(style_scores.keys(), key=style_scores.get),
-                "风格置信度": f"{max(style_scores.values()):.1%}",
-                "所有风格评分": {k: f"{v:.1%}" for k, v in sorted(style_scores.items(), key=lambda x: x[1], reverse=True)}
-            },
-            "颜色分析": {
-                "主色调": color_analysis["dominant_colors"][0] if color_analysis["dominant_colors"] else "经典色调",
-                "配色方案": color_analysis["color_harmony"],
-                "季节倾向": color_analysis["season_analysis"],
-                "颜色情感": color_analysis["color_palette"].get("颜色1", {}).get("emotion", "中性")
-            },
-            "材质分析": {
-                "预测面料": fabric_analysis["predicted_fabric"],
-                "质地特征": fabric_analysis["texture"],
-                "面料特性": fabric_analysis["fabric_properties"]
-            }
-        }
-        
-        # 6. 基于综合分析生成设计建议
-        design_suggestions = generate_intelligent_suggestions()
-        
-        progress(1.0, desc="分析完成")
-        
-        choices = list(design_suggestions.keys())
-        return (
-            comprehensive_analysis,
-            design_suggestions,
-            gr.Radio(choices=choices, value=choices[0] if choices else None),
-            gr.Gallery(value=[])
-        )
-        
-    except Exception as e:
-        logger.error(f"综合分析失败: {e}", exc_info=True)
-        return {"错误": f"分析失败: {str(e)}"}, {}, gr.Radio(choices=[]), gr.Gallery(value=[])
-
-def generate_intelligent_suggestions():
-    """基于所有分析维度生成智能设计建议"""
-    context = design_state.get_design_context()
-    
-    # 获取关键信息
-    main_style = context["main_style"]
-    dominant_color = context["dominant_colors"][0] if context["dominant_colors"] else "经典色调"
-    fabric_type = context["fabric_type"]
-    color_emotion = design_state.color_analysis.get("color_palette", {}).get("颜色1", {}).get("emotion", "中性")
-    
-    # 基于综合分析生成建议
-    suggestions = {}
-    
-    # 1. 风格延续建议
-    suggestions[f"经典{main_style}"] = f"保持{main_style}核心特色，运用{dominant_color}主色调，体现{color_emotion}的情感表达"
-    
-    # 2. 材质创新建议
-    suggestions[f"{fabric_type}质感创新"] = f"基于{fabric_type}面料特性，结合{dominant_color}配色，打造现代{main_style}风格"
-    
-    # 3. 配色方案建议
-    color_harmony = design_state.color_analysis.get("color_harmony", "和谐配色")
-    suggestions[f"{color_harmony}设计"] = f"采用{color_harmony}策略，以{dominant_color}为主调，营造{color_emotion}氛围"
-    
-    # 4. 季节适应建议
-    season_analysis = design_state.color_analysis.get("season_analysis", "四季通用")
-    suggestions[f"{season_analysis}款式"] = f"针对{season_analysis}特点，融合{main_style}元素，突出{fabric_type}质感"
-    
-    # 5. 情感导向建议
-    suggestions[f"{color_emotion}表达"] = f"强化{color_emotion}的情感传达，通过{main_style}剪裁体现{fabric_type}的独特魅力"
-    
-    # 6. 创新融合建议
-    suggestions["跨界融合创新"] = f"打破传统{main_style}界限，创新运用{dominant_color}，结合现代设计理念"
-    
-    return suggestions
-
-def generate_professional_designs(selected_suggestion, progress=gr.Progress()):
-    """生成专业服装设计图 - 三视图风格"""
-    try:
-        if not selected_suggestion or not design_state.original_image:
-            return gr.Gallery(value=[]), gr.Radio(choices=[])
-        
-        design_state.design_direction = selected_suggestion
-        
-        progress(0.1, desc="准备设计生成...")
-        
-        # 获取完整设计上下文
-        context = design_state.get_design_context()
-        
-        # 生成三种专业设计视图
-        design_views = ["正面设计图", "背面设计图", "侧面设计图"]
-        generated_designs = []
-        design_choices = []
-        
-        for i, view in enumerate(design_views):
-            try:
-                progress(0.2 + i*0.25, desc=f"生成{view}...")
-                
-                # 创建专业的设计提示词
-                design_prompt = create_professional_design_prompt(view, context, selected_suggestion)
-                
-                # 使用SD模型生成设计
-                design_image = model_manager.generate_image(
-                    prompt=design_prompt,
-                    negative_prompt="person, face, model, background, blurry, low quality, text, watermark, realistic photo, 3d render",
-                    num_inference_steps=30,
-                    width=512,
-                    height=640,
-                    guidance_scale=8.0
-                )
-                
-                generated_designs.append(design_image)
-                design_choices.append(f"{selected_suggestion} - {view}")
-                logger.info(f"成功生成{view}")
-                
-            except Exception as e:
-                logger.error(f"生成{view}失败: {e}")
-                # 创建占位图像
-                placeholder = create_design_placeholder(view, 512, 640)
-                generated_designs.append(placeholder)
-                design_choices.append(f"{selected_suggestion} - {view} (占位)")
-        
-        design_state.generated_designs = generated_designs
-        
-        progress(1.0, desc="设计生成完成")
-        
-        return (
-            gr.Gallery(value=generated_designs, columns=3),
-            gr.Radio(choices=design_choices, value=design_choices[0] if design_choices else None)
-        )
-        
-    except Exception as e:
-        logger.error(f"专业设计生成失败: {e}")
-        return gr.Gallery(value=[]), gr.Radio(choices=[])
-
-def create_professional_design_prompt(view, context, suggestion):
-    """创建专业的服装设计提示词 - 避免token截断"""
-    
-    # 关键词映射，避免中文token问题
-    style_keywords = {
-        "商务正装": "business formal suit professional",
-        "休闲风": "casual comfortable relaxed",
-        "运动风": "sportswear athletic active",
-        "时尚潮流": "fashion trendy modern stylish", 
-        "复古风": "vintage retro classic",
-        "街头风": "streetwear urban hip",
-        "优雅风": "elegant sophisticated graceful"
-    }
-    
-    color_keywords = {
-        "深红色": "deep red burgundy",
-        "橙红色": "orange red coral",
-        "金黄色": "golden yellow amber",
-        "草绿色": "grass green olive",
-        "翠绿色": "emerald green jade",
-        "天蓝色": "sky blue azure",
-        "宝蓝色": "royal blue navy",
-        "紫色": "purple violet",
-        "深黑色": "deep black charcoal",
-        "纯白色": "pure white ivory",
-        "深灰色": "dark gray slate"
-    }
-    
-    fabric_keywords = {
-        "丝绸": "silk smooth luxurious",
-        "棉质": "cotton comfortable breathable",
-        "混纺": "blend modern synthetic",
-        "牛仔": "denim sturdy casual",
-        "毛呢": "wool warm textured"
-    }
-    
-    view_keywords = {
-        "正面设计图": "front view technical drawing fashion flat",
-        "背面设计图": "back view technical drawing fashion flat", 
-        "侧面设计图": "side view technical drawing fashion flat"
-    }
-    
-    # 构建英文提示词
-    style_eng = style_keywords.get(context["main_style"], "modern fashion")
-    color_eng = color_keywords.get(context["dominant_colors"][0] if context["dominant_colors"] else "", "neutral colors")
-    fabric_eng = fabric_keywords.get(context["fabric_type"], "quality fabric")
-    view_eng = view_keywords.get(view, "technical fashion drawing")
-    
-    # 专业服装设计提示词
-    prompt = (
-        f"{view_eng}, {style_eng} garment design, "
-        f"{color_eng} color scheme, {fabric_eng} material, "
-        f"clean fashion illustration, professional technical drawing, "
-        f"flat lay design, no model, clothing only, "
-        f"detailed stitching, precise proportions, "
-        f"fashion design sketch, minimalist background, "
-        f"high quality illustration, vector style"
-    )
-    
-    logger.info(f"{view}设计提示词: {prompt}")
-    return prompt
-
-def create_design_placeholder(view, width, height):
-    """创建设计占位图"""
-    img = Image.new('RGB', (width, height), color=(240, 240, 240))
-    draw = ImageDraw.Draw(img)
-    
-    # 绘制基本轮廓
-    if "正面" in view:
-        # 画一个基本的衣服正面轮廓
-        draw.rectangle([width//4, height//6, 3*width//4, 5*height//6], outline=(100, 100, 100), width=3)
-    elif "背面" in view:
-        # 画一个基本的衣服背面轮廓
-        draw.rectangle([width//4, height//6, 3*width//4, 5*height//6], outline=(120, 120, 120), width=3)
-    else:
-        # 侧面轮廓
-        draw.ellipse([width//3, height//6, 2*width//3, 5*height//6], outline=(140, 140, 140), width=3)
-    
-    # 添加文字
-    try:
-        font = ImageFont.load_default()
-        text = view
-        draw.text((width//2-50, height//2), text, fill=(80, 80, 80), font=font)
-    except:
-        pass
-    
-    return img
-
-def generate_3d_fitting_effect(selected_design_index, progress=gr.Progress()):
-    """生成专业3D试穿效果 - 标准模特展示"""
-    try:
-        if not design_state.generated_designs or selected_design_index is None:
-            return None
-        
-        design_state.selected_design_index = selected_design_index
-        
-        progress(0.1, desc="准备3D建模...")
-        
-        # 获取设计上下文和选中的设计
-        context = design_state.get_design_context()
-        selected_design = design_state.generated_designs[selected_design_index]
-        
-        progress(0.3, desc="构建3D试穿场景...")
-        
-        # 创建专业3D试穿提示词
-        fitting_prompt = create_3d_fitting_prompt(context, selected_design_index)
-        
-        progress(0.5, desc="AI 3D渲染中...")
-        
-        try:
-            # 使用ControlNet生成高质量3D试穿效果
-            fitting_image = model_manager.generate_controlnet_image(
-                image=design_state.original_image,
-                prompt=fitting_prompt,
-                reference_image=selected_design,
-                negative_prompt="blurry, distorted, low quality, unrealistic, extra limbs, deformed, bad anatomy, text, watermark, multiple people",
-                num_inference_steps=40,
-                guidance_scale=8.5
-            )
-            
-            progress(0.9, desc="完成3D渲染")
-            design_state.fitting_result = fitting_image
-            logger.info("使用ControlNet生成3D试穿效果")
-            return fitting_image
-            
-        except Exception as e:
-            logger.warning(f"ControlNet 3D试穿失败: {e}")
-            # 回退到标准模型
-            progress(0.6, desc="使用标准模型生成...")
-            fitting_image = model_manager.generate_image(
-                prompt=fitting_prompt,
-                negative_prompt="blurry, distorted, low quality, unrealistic, extra limbs, deformed, bad anatomy, multiple people",
-                num_inference_steps=35,
-                width=512,
-                height=768,
-                guidance_scale=8.0
-            )
-            
-            progress(0.9, desc="完成渲染")
-            design_state.fitting_result = fitting_image
-            return fitting_image
-        
-    except Exception as e:
-        logger.error(f"3D试穿生成失败: {e}")
-        return create_fitting_placeholder()
-
-def create_3d_fitting_prompt(context, design_index):
-    """创建3D试穿提示词 - 英文避免token截断"""
-    
-    # 风格关键词映射
-    style_keywords = {
-        "商务正装": "professional business attire formal suit",
-        "休闲风": "casual comfortable everyday wear",
-        "运动风": "athletic sportswear activewear",
-        "时尚潮流": "fashion forward trendy modern",
-        "复古风": "vintage retro classic style",
-        "街头风": "streetwear urban contemporary",
-        "优雅风": "elegant sophisticated refined"
-    }
-    
-    color_keywords = {
-        "深红色": "deep red burgundy rich",
-        "橙红色": "coral orange warm",
-        "金黄色": "golden amber bright",
-        "草绿色": "olive green natural",
-        "翠绿色": "emerald jade vibrant",
-        "天蓝色": "sky blue light",
-        "宝蓝色": "royal navy deep",
-        "紫色": "purple violet",
-        "深黑色": "black charcoal dark",
-        "纯白色": "white clean pure",
-        "深灰色": "charcoal slate gray"
-    }
-    
-    fabric_keywords = {
-        "丝绸": "silk luxurious smooth draping",
-        "棉质": "cotton comfortable natural texture",
-        "混纺": "modern blend synthetic comfort",
-        "牛仔": "denim sturdy casual texture",
-        "毛呢": "wool textured warm sophisticated"
-    }
-    
-    # 获取英文关键词
-    style_eng = style_keywords.get(context["main_style"], "modern fashion")
-    color_eng = color_keywords.get(context["dominant_colors"][0] if context["dominant_colors"] else "", "neutral tones")
-    fabric_eng = fabric_keywords.get(context["fabric_type"], "quality fabric")
-    
-    # 构建3D试穿提示词
-    prompt = (
-        f"professional 3D fashion model wearing {style_eng}, "
-        f"{color_eng} color scheme, {fabric_eng} material, "
-        f"full body pose, studio lighting, clean background, "
-        f"high quality 3D render, realistic fabric texture, "
-        f"perfect fit tailoring, fashion photography style, "
-        f"detailed clothing construction, professional modeling"
-    )
-    
-    logger.info(f"3D试穿提示词: {prompt}")
-    return prompt
-
-def create_fitting_placeholder():
-    """创建3D试穿占位图"""
-    img = Image.new('RGB', (512, 768), color=(245, 245, 245))
-    draw = ImageDraw.Draw(img)
-    
-    # 画一个基本的人体轮廓
-    # 头部
-    draw.ellipse([206, 50, 306, 150], outline=(150, 150, 150), width=2)
-    # 身体
-    draw.rectangle([226, 150, 286, 400], outline=(150, 150, 150), width=2)
-    # 手臂
-    draw.rectangle([186, 170, 226, 350], outline=(150, 150, 150), width=2)
-    draw.rectangle([286, 170, 326, 350], outline=(150, 150, 150), width=2)
-    # 腿部
-    draw.rectangle([236, 400, 266, 650], outline=(150, 150, 150), width=2)
-    draw.rectangle([266, 400, 296, 650], outline=(150, 150, 150), width=2)
-    
-    # 添加文字
-    try:
-        font = ImageFont.load_default()
-        draw.text((200, 380), "3D Fitting", fill=(100, 100, 100), font=font)
-    except:
-        pass
-    
-    return img
-
-def export_design_report():
-    """导出完整的设计报告"""
-    if not design_state.original_image:
-        return "没有设计数据可导出"
-    
-    try:
-        context = design_state.get_design_context()
-        
-        report = {
-            "设计项目报告": {
-                "生成时间": time.strftime("%Y-%m-%d %H:%M:%S"),
-                "项目概述": {
-                    "设计描述": context["caption"],
-                    "设计方向": context["design_direction"],
-                    "主要风格": context["main_style"]
-                },
-                "色彩分析": {
-                    "主色调": context["dominant_colors"],
-                    "配色方案": design_state.color_analysis.get("color_harmony", ""),
-                    "季节特征": design_state.color_analysis.get("season_analysis", ""),
-                    "情感表达": design_state.color_analysis.get("color_palette", {}).get("颜色1", {}).get("emotion", "")
-                },
-                "材质分析": {
-                    "面料类型": context["fabric_type"],
-                    "质地特征": design_state.fabric_analysis.get("texture", ""),
-                    "材质特性": design_state.fabric_analysis.get("fabric_properties", "")
-                },
-                "设计建议": {
-                    "选择方向": design_state.design_direction,
-                    "设计理念": f"基于{context['main_style']}风格，运用{context['dominant_colors'][0] if context['dominant_colors'] else '经典'}色调"
-                }
-            }
-        }
-        
-        return json.dumps(report, ensure_ascii=False, indent=2)
-        
-    except Exception as e:
-        return f"报告生成失败: {str(e)}"
-
-def create_gradio_interface():
-    """创建改进的Gradio界面"""
-    
-    with gr.Blocks(title="AI时尚设计师 Pro", theme="soft") as demo:
-        gr.Markdown("# 🎨 AI时尚设计师 Pro")
-        gr.Markdown("**专业AI驱动的服装设计平台** - 深度分析、智能设计、3D试穿")
-        
-        with gr.Row():
-            with gr.Column(scale=1):
-                image_input = gr.Image(type="filepath", label="📸 上传服装参考图", height=400)
-                analyze_btn = gr.Button("🔍 AI深度分析", variant="primary", size="lg")
-                
-                # 分析结果展示
-                with gr.Accordion("📊 详细分析报告", open=False):
-                    analysis_output = gr.JSON(label="综合分析结果")
-            
-            with gr.Column(scale=2):
-                # 设计建议标签页
-                with gr.Tab("💡 智能设计建议"):
-                    suggestions_output = gr.JSON(label="🎯 基于AI分析的个性化建议")
-                    suggestion_choice = gr.Radio(label="🎨 选择设计方向", interactive=True)
-                    generate_designs_btn = gr.Button("✨ 生成专业设计图", variant="primary", size="lg")
-                
-                # 设计图标签页
-                with gr.Tab("👔 专业设计图"):
-                    gr.Markdown("**服装设计三视图** - 正面/背面/侧面专业技术图")
-                    designs_gallery = gr.Gallery(label="AI生成的专业设计图", columns=3, height=500)
-                    design_choice = gr.Radio(label="🎯 选择设计方案", type="index", interactive=True)
-                    generate_3d_btn = gr.Button("🎭 生成3D试穿效果", variant="primary", size="lg")
-                
-                # 3D试穿标签页
-                with gr.Tab("🎭 3D虚拟试穿"):
-                    gr.Markdown("**专业3D试穿展示** - 标准模特效果图")
-                    fitting_result = gr.Image(label="3D虚拟试穿效果", height=600)
-                    
-                    with gr.Row():
-                        export_btn = gr.Button("📄 导出设计报告", variant="secondary")
-                        reset_btn = gr.Button("🔄 重置项目", variant="secondary")
-                
-                # 导出结果
-                with gr.Tab("📋 设计报告"):
-                    report_output = gr.Textbox(label="完整设计报告", lines=20, max_lines=30)
-        
-        # 系统控制面板
-        with gr.Accordion("🔧 系统控制面板", open=False):
-            with gr.Row():
-                cleanup_btn = gr.Button("🧹 清理显存", variant="secondary")
-                cpu_btn = gr.Button("💾 模型→CPU", variant="secondary")
-                gpu_btn = gr.Button("🚀 模型→GPU", variant="secondary")
-                reload_btn = gr.Button("🔄 重载模型", variant="primary")
-            
-            gr.Markdown("""
-            **系统优化说明**：
-            - 🧹 清理显存：清理GPU缓存，不影响模型
-            - 💾 模型→CPU：释放GPU显存，推理速度会降低
-            - 🚀 模型→GPU：恢复GPU加速，提升生成速度
-            - 🔄 重载模型：强制重新加载所有AI模型
-            """)
-        
-        # 事件绑定 - 完整工作流程
-        analyze_btn.click(
-            fn=comprehensive_image_analysis,
-            inputs=[image_input],
-            outputs=[analysis_output, suggestions_output, suggestion_choice, designs_gallery]
-        )
-        
-        generate_designs_btn.click(
-            fn=generate_professional_designs,
-            inputs=[suggestion_choice],
-            outputs=[designs_gallery, design_choice]
-        )
-        
-        generate_3d_btn.click(
-            fn=generate_3d_fitting_effect,
-            inputs=[design_choice],
-            outputs=[fitting_result]
-        )
-        
-        export_btn.click(
-            fn=export_design_report,
-            inputs=[],
-            outputs=[report_output]
-        )
-        
-        reset_btn.click(
-            fn=lambda: (design_state.reset(), {}, {}, gr.Radio(choices=[]), gr.Gallery(value=[]), None, ""),
-            inputs=[],
-            outputs=[analysis_output, suggestions_output, suggestion_choice, designs_gallery, fitting_result, report_output]
-        )
-        
-        # 系统控制
-        cleanup_btn.click(fn=model_manager.cleanup, inputs=[], outputs=[])
-        cpu_btn.click(fn=model_manager.move_models_to_cpu, inputs=[], outputs=[])
-        gpu_btn.click(fn=model_manager.move_models_to_gpu, inputs=[], outputs=[])
-        reload_btn.click(fn=model_manager.force_reload_all_models, inputs=[], outputs=[])
-        
-        # 使用指南
-        with gr.Accordion("📖 专业使用指南", open=False):
-            gr.Markdown("""
-            ## 🚀 完整工作流程
-            
-            ### 第一步：AI深度分析
-            1. 上传高清服装参考图片
-            2. 点击"AI深度分析"进行多维度智能分析
-            3. 查看详细的风格、颜色、材质分析报告
-            
-            ### 第二步：选择设计方向  
-            1. 在"智能设计建议"中查看个性化建议
-            2. 基于AI分析结果选择最符合需求的设计方向
-            3. 建议会整合风格、色彩、材质等所有分析维度
-            
-            ### 第三步：生成专业设计
-            1. 点击"生成专业设计图"获取三视图
-            2. 包含正面、背面、侧面的专业技术图
-            3. 所有设计都基于前期分析结果，确保一致性
-            
-            ### 第四步：3D虚拟试穿
-            1. 选择心仪的设计方案
-            2. 生成标准模特的3D试穿效果
-            3. 展示真实的着装效果和服装细节
-            
-            ### 第五步：导出设计报告
-            1. 获取完整的项目设计报告
-            2. 包含所有分析数据和设计决策依据
-            3. 支持进一步的设计开发和制作
-            
-            ## 💡 专业建议
-            - **图片质量**：使用高分辨率、光线良好的服装图片
-            - **分析准确性**：让AI完整分析后再进行设计选择
-            - **设计连贯性**：所有生成内容都基于初始分析，确保风格统一
-            - **3D效果**：基于ControlNet技术，提供专业级试穿展示
-            """)
-    
-    return demo
-
-if __name__ == "__main__":
-    logger.info(f"Python版本: {sys.version}")
-    logger.info(f"当前工作目录: {os.getcwd()}")
-    logger.info(f"模型管理器状态: {'完整版' if MODELS_AVAILABLE else '简化版'}")
-    
-    demo = create_gradio_interface()
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=False,
-        show_error=True,
-        max_threads=4  # 增加线程数支持并发
-    )
+            color_emotion =_