Update app.py

app.py

@@ -155,4 +155,826 @@ def advanced_color_analysis(image):
         
         for i, (color, percentage) in enumerate(color_data):
             color_name = rgb_to_detailed_color_name(color)
-            color_emotion =_
+            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��": 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（改进版）"""
+    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
+                # 使用基于 suggestion 的 seed 保证三视图一致
+                base_seed = abs(hash(selected_suggestion)) % (2 ** 31 - 1)
+                view_seed = (base_seed + i * 9973) % (2 ** 31 - 1)
+                
+                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,
+                    seed=view_seed
+                )
+                
+                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���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
+    )