sanbuphy
66b2ba6e45
Fixed 22 ESLint errors across 26 Vue component files: - Removed TypeScript type annotations from ReadingProgress.vue (converted to JS) - Removed unused variables, imports, and duplicate function declarations - Fixed HTML parsing errors (invalid attribute names, unclosed tags) - Added missing :key directives to v-for loops - Fixed duplicate object keys (backgroundImage) - Replaced special characters in comments to avoid parsing issues - Fixed malformed HTML tags (v-else", 003e attributes) All warnings were left unchanged as requested. Build now passes with 0 errors. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
744 lines
17 KiB
Vue
744 lines
17 KiB
Vue
<!--
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LoRADemo.vue
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LoRA 微调演示组件
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用途：
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展示 LoRA (Low-Rank Adaptation) 如何以轻量级方式微调模型，实现特定风格或角色的生成。
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交互功能：
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- LoRA 权重调节
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- 基础模型 + LoRA 组合展示
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- 对比不同权重的生成效果
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- LoRA 融合可视化
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-->
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<template>
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<div class="lora-demo">
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<el-card shadow="never">
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<template #header>
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<div class="header-title">
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<el-icon><Collection /></el-icon>
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<span>🎨 LoRA：轻量级微调</span>
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</div>
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</template>
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<div class="demo-content">
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<!-- LoRA 概念说明 -->
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<div class="concept-section">
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<div class="concept-visual">
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<div class="model-box base">
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<div class="box-title">
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基础模型
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</div>
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<div class="box-size">
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4-8 GB
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</div>
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<div class="box-desc">
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通用知识
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</div>
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</div>
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<div class="plus-sign">
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+
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</div>
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<div class="model-box lora">
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<div class="box-title">
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LoRA 权重
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</div>
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<div class="box-size">
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50-200 MB
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</div>
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<div class="box-desc">
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特定风格/角色
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</div>
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</div>
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<div class="equals-sign">
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=
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</div>
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<div class="model-box result">
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<div class="box-title">
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定制模型
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</div>
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<div class="box-size">
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无需合并
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</div>
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<div class="box-desc">
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动态加载
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</div>
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</div>
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</div>
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</div>
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<!-- LoRA 权重调节 -->
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<div class="weight-control-section">
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<div class="weight-header">
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<span>LoRA 权重调节</span>
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<el-tag
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type="primary"
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effect="dark"
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>
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{{ loraWeight }}
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</el-tag>
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</div>
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<el-slider
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v-model="loraWeight"
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:min="0"
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:max="1.5"
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:step="0.1"
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show-stops
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:marks="{
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0: '无效果',
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0.5: '轻微',
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1: '标准',
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1.5: '强烈'
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}"
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/>
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<div class="lora-selector">
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<el-radio-group v-model="selectedLoRA">
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<el-radio-button label="anime">
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动漫风格
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</el-radio-button>
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<el-radio-button label="realistic">
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写实风格
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</el-radio-button>
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<el-radio-button label="sketch">
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素描风格
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</el-radio-button>
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<el-radio-button label="3d">
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3D 风格
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</el-radio-button>
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</el-radio-group>
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</div>
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</div>
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<!-- 效果对比 -->
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<div class="comparison-section">
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<div class="comparison-title">
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生成效果对比
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</div>
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<div class="comparison-grid">
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<div class="comparison-item">
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<div class="item-label">
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<el-tag type="info">
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仅基础模型
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</el-tag>
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</div>
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<canvas
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ref="baseCanvas"
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width="200"
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height="200"
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class="comparison-canvas"
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/>
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<div class="item-desc">
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通用风格
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</div>
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</div>
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<div class="comparison-item main">
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<div class="item-label">
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<el-tag type="success">
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基础 + LoRA ({{ loraWeight }})
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</el-tag>
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</div>
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<canvas
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ref="loraCanvas"
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width="200"
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height="200"
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class="comparison-canvas main-canvas"
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/>
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<div class="item-desc">
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{{ getLoRADescription() }}
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</div>
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</div>
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</div>
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</div>
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<!-- 多 LoRA 融合 -->
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<div class="fusion-section">
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<div class="fusion-title">
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🔀 多 LoRA 融合
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</div>
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<div class="fusion-controls">
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<div
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v-for="(lora, index) in activeLoRAs"
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:key="index"
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class="fusion-item"
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>
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<el-tag
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:type="lora.type"
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closable
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@close="removeLoRA(index)"
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>
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{{ lora.name }}
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</el-tag>
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<el-slider
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v-model="lora.weight"
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:min="0"
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:max="1"
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:step="0.1"
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size="small"
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style="width: 120px"
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/>
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<span class="weight-display">{{ lora.weight }}</span>
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</div>
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<el-dropdown @command="addLoRA">
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<el-button
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type="primary"
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size="small"
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>
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<el-icon><Plus /></el-icon> 添加 LoRA
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</el-button>
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<template #dropdown>
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<el-dropdown-menu>
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<el-dropdown-item command="anime">
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动漫风格
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</el-dropdown-item>
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<el-dropdown-item command="realistic">
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写实风格
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</el-dropdown-item>
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<el-dropdown-item command="sketch">
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素描风格
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</el-dropdown-item>
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<el-dropdown-item command="3d">
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3D 风格
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</el-dropdown-item>
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<el-dropdown-item command="watercolor">
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水彩风格
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</el-dropdown-item>
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</el-dropdown-menu>
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</template>
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</el-dropdown>
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</div>
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<div class="fusion-result">
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<canvas
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ref="fusionCanvas"
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width="250"
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height="250"
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class="fusion-canvas"
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/>
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<div class="fusion-formula">
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<div class="formula-title">
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融合公式
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</div>
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<div class="formula-content">
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输出 = 基础模型 + Σ(LoRAᵢ × 权重ᵢ)
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</div>
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</div>
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</div>
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</div>
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<!-- 应用场景 -->
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<div class="use-cases">
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<div class="use-cases-title">
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🎯 LoRA 典型应用
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</div>
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<div class="use-cases-grid">
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<div class="use-case-card">
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<div class="use-case-icon">
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👤
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</div>
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<div class="use-case-title">
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角色一致性
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</div>
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<div class="use-case-desc">
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训练特定角色，保持形象一致
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</div>
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</div>
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<div class="use-case-card">
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<div class="use-case-icon">
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🎨
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</div>
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<div class="use-case-title">
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艺术风格
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</div>
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<div class="use-case-desc">
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模仿特定画家或艺术风格
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</div>
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</div>
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<div class="use-case-card">
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<div class="use-case-icon">
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👗
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</div>
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<div class="use-case-title">
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服装概念
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</div>
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<div class="use-case-desc">
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特定服装或配饰设计
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</div>
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</div>
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<div class="use-case-card">
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<div class="use-case-icon">
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🏢
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</div>
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<div class="use-case-title">
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产品展示
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</div>
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<div class="use-case-desc">
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特定产品或品牌风格
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="info-box">
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<p>
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<span class="icon">💡</span>
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<strong>LoRA 原理：</strong>
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LoRA 通过在原始权重矩阵旁边添加低秩矩阵来进行微调，只训练少量参数（通常 < 1%），就能实现特定风格或角色的学习。相比完整微调，LoRA 文件小、训练快、可组合使用。
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</p>
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</div>
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</el-card>
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</div>
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</template>
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<script setup>
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import { ref, onMounted, watch } from 'vue'
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import { Collection, Plus } from '@element-plus/icons-vue'
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const loraWeight = ref(0.8)
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const selectedLoRA = ref('anime')
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const baseCanvas = ref(null)
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const loraCanvas = ref(null)
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const fusionCanvas = ref(null)
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const activeLoRAs = ref([
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{ name: '动漫风格', type: 'primary', weight: 0.6 },
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{ name: '水彩效果', type: 'success', weight: 0.3 }
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])
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const loraTypes = {
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anime: { name: '动漫风格', type: 'primary', color: '#FFB6C1' },
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realistic: { name: '写实风格', type: 'success', color: '#DDA0DD' },
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sketch: { name: '素描风格', type: 'warning', color: '#D3D3D3' },
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'3d': { name: '3D 风格', type: 'danger', color: '#87CEEB' },
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watercolor: { name: '水彩效果', type: 'info', color: '#98FB98' }
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}
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const getLoRADescription = () => {
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const descriptions = {
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anime: '大眼睛、鲜明色彩的动漫风格',
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realistic: '照片级真实感',
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sketch: '手绘线条和阴影',
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'3d': '立体感和材质渲染',
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watercolor: '柔和的水彩晕染效果'
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}
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return descriptions[selectedLoRA.value] || ''
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}
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const addLoRA = (command) => {
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const loraInfo = loraTypes[command]
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if (loraInfo) {
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activeLoRAs.value.push({
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name: loraInfo.name,
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type: loraInfo.type,
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weight: 0.5
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})
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}
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}
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const removeLoRA = (index) => {
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activeLoRAs.value.splice(index, 1)
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}
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// 绘制基础图像
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const drawBaseImage = (ctx, width, height) => {
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ctx.fillStyle = '#f5f5f5'
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ctx.fillRect(0, 0, width, height)
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// 绘制一个简单的角色轮廓
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ctx.strokeStyle = '#666'
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ctx.lineWidth = 2
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// 头部
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ctx.beginPath()
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ctx.arc(width * 0.5, height * 0.3, width * 0.2, 0, Math.PI * 2)
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ctx.stroke()
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// 身体
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ctx.beginPath()
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ctx.moveTo(width * 0.5, height * 0.5)
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ctx.lineTo(width * 0.5, height * 0.8)
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ctx.stroke()
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// 手臂
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ctx.beginPath()
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ctx.moveTo(width * 0.5, height * 0.55)
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ctx.lineTo(width * 0.25, height * 0.7)
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ctx.moveTo(width * 0.5, height * 0.55)
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ctx.lineTo(width * 0.75, height * 0.7)
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ctx.stroke()
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}
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// 绘制 LoRA 效果
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const drawLoRAImage = (ctx, width, height, loraType, weight) => {
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// 先画基础
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drawBaseImage(ctx, width, height)
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// 根据 LoRA 类型添加效果
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const effects = {
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anime: () => {
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// 动漫风格：大眼睛、鲜艳色彩
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ctx.fillStyle = `rgba(255, 182, 193, ${weight * 0.5})`
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ctx.fillRect(0, 0, width, height)
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// 大眼睛
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ctx.fillStyle = `rgba(100, 149, 237, ${weight})`
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ctx.beginPath()
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ctx.ellipse(width * 0.42, height * 0.28, width * 0.08 * weight, width * 0.1 * weight, 0, 0, Math.PI * 2)
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ctx.fill()
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ctx.beginPath()
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ctx.ellipse(width * 0.58, height * 0.28, width * 0.08 * weight, width * 0.1 * weight, 0, 0, Math.PI * 2)
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ctx.fill()
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},
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realistic: () => {
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// 写实风格：阴影、细节
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ctx.fillStyle = `rgba(139, 69, 19, ${weight * 0.3})`
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ctx.fillRect(0, 0, width, height)
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// 添加阴影
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ctx.fillStyle = `rgba(0, 0, 0, ${weight * 0.2})`
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ctx.beginPath()
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ctx.ellipse(width * 0.5, height * 0.85, width * 0.3, height * 0.05, 0, 0, Math.PI * 2)
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ctx.fill()
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},
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sketch: () => {
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// 素描风格：线条、交叉阴影
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ctx.strokeStyle = `rgba(0, 0, 0, ${weight * 0.5})`
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ctx.lineWidth = 1
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for (let i = 0; i < 10; i++) {
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ctx.beginPath()
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ctx.moveTo(0, i * height * 0.1)
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ctx.lineTo(width, i * height * 0.1 + height * 0.1)
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ctx.stroke()
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}
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},
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'3d': () => {
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// 3D 风格：渐变、立体感
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const gradient = ctx.createRadialGradient(
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width * 0.3, height * 0.3, 0,
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width * 0.5, height * 0.5, width * 0.6
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)
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gradient.addColorStop(0, `rgba(255, 255, 255, ${weight * 0.5})`)
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gradient.addColorStop(1, `rgba(0, 0, 0, ${weight * 0.2})`)
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ctx.fillStyle = gradient
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ctx.fillRect(0, 0, width, height)
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}
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}
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if (effects[loraType]) {
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effects[loraType]()
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}
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}
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// 绘制融合效果
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const drawFusionImage = (ctx, width, height) => {
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ctx.fillStyle = '#f5f5f5'
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ctx.fillRect(0, 0, width, height)
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// 基础图像
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drawBaseImage(ctx, width, height)
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// 叠加所有 LoRA 效果
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activeLoRAs.value.forEach(lora => {
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const loraKey = Object.keys(loraTypes).find(
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key => loraTypes[key].name === lora.name
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)
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if (loraKey) {
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ctx.save()
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ctx.globalAlpha = lora.weight
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drawLoRAImage(ctx, width, height, loraKey, 1)
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ctx.restore()
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}
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})
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}
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const updateDisplay = () => {
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if (baseCanvas.value) {
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const ctx = baseCanvas.value.getContext('2d')
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drawBaseImage(ctx, 200, 200)
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}
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if (loraCanvas.value) {
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const ctx = loraCanvas.value.getContext('2d')
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drawLoRAImage(ctx, 200, 200, selectedLoRA.value, loraWeight.value)
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}
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if (fusionCanvas.value) {
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const ctx = fusionCanvas.value.getContext('2d')
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drawFusionImage(ctx, 250, 250)
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}
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}
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onMounted(updateDisplay)
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watch([loraWeight, selectedLoRA, activeLoRAs], updateDisplay, { deep: true })
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</script>
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<style scoped>
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.lora-demo {
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margin: 0.5rem 0;
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}
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.header-title {
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display: flex;
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align-items: center;
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gap: 8px;
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font-weight: 600;
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}
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.demo-content {
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display: flex;
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flex-direction: column;
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gap: 24px;
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}
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.concept-section {
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background: var(--vp-c-bg-soft);
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border-radius: 6px;
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padding: 20px;
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}
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.concept-visual {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 16px;
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flex-wrap: wrap;
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}
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.model-box {
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background: var(--vp-c-bg);
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border-radius: 6px;
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padding: 16px 24px;
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text-align: center;
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border: 2px solid var(--vp-c-divider);
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min-width: 120px;
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}
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.model-box.base {
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border-color: #409eff;
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}
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.model-box.lora {
|
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border-color: #67c23a;
|
||
}
|
||
|
||
.model-box.result {
|
||
border-color: #e6a23c;
|
||
}
|
||
|
||
.box-title {
|
||
font-weight: 600;
|
||
margin-bottom: 4px;
|
||
}
|
||
|
||
.box-size {
|
||
font-size: 0.75rem;
|
||
color: var(--vp-c-text-3);
|
||
margin-bottom: 4px;
|
||
}
|
||
|
||
.box-desc {
|
||
font-size: 0.8rem;
|
||
color: var(--vp-c-text-2);
|
||
}
|
||
|
||
.plus-sign, .equals-sign {
|
||
font-size: 1.5rem;
|
||
font-weight: 600;
|
||
color: var(--vp-c-text-3);
|
||
}
|
||
|
||
.weight-control-section {
|
||
background: var(--vp-c-bg-soft);
|
||
border-radius: 6px;
|
||
padding: 20px;
|
||
}
|
||
|
||
.weight-header {
|
||
display: flex;
|
||
justify-content: space-between;
|
||
align-items: center;
|
||
margin-bottom: 12px;
|
||
}
|
||
|
||
.lora-selector {
|
||
margin-top: 16px;
|
||
display: flex;
|
||
justify-content: center;
|
||
}
|
||
|
||
.comparison-section {
|
||
background: var(--vp-c-bg-soft);
|
||
border-radius: 6px;
|
||
padding: 20px;
|
||
}
|
||
|
||
.comparison-title {
|
||
font-weight: 500;
|
||
margin-bottom: 16px;
|
||
text-align: center;
|
||
}
|
||
|
||
.comparison-grid {
|
||
display: flex;
|
||
justify-content: center;
|
||
gap: 32px;
|
||
flex-wrap: wrap;
|
||
}
|
||
|
||
.comparison-item {
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: center;
|
||
gap: 8px;
|
||
}
|
||
|
||
.comparison-item.main {
|
||
transform: scale(1.1);
|
||
}
|
||
|
||
.item-label {
|
||
font-weight: 500;
|
||
}
|
||
|
||
.comparison-canvas {
|
||
width: 160px;
|
||
height: 160px;
|
||
background: var(--vp-c-bg);
|
||
border-radius: 6px;
|
||
border: 2px solid var(--vp-c-divider);
|
||
}
|
||
|
||
.comparison-canvas.main-canvas {
|
||
border-color: var(--vp-c-brand);
|
||
}
|
||
|
||
.item-desc {
|
||
font-size: 0.8rem;
|
||
color: var(--vp-c-text-3);
|
||
}
|
||
|
||
.fusion-section {
|
||
background: var(--vp-c-bg-soft);
|
||
border-radius: 6px;
|
||
padding: 20px;
|
||
}
|
||
|
||
.fusion-title {
|
||
font-weight: 500;
|
||
margin-bottom: 16px;
|
||
text-align: center;
|
||
}
|
||
|
||
.fusion-controls {
|
||
display: flex;
|
||
flex-wrap: wrap;
|
||
gap: 12px;
|
||
justify-content: center;
|
||
margin-bottom: 20px;
|
||
}
|
||
|
||
.fusion-item {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 8px;
|
||
background: var(--vp-c-bg);
|
||
padding: 8px 12px;
|
||
border-radius: 6px;
|
||
}
|
||
|
||
.weight-display {
|
||
font-size: 0.875rem;
|
||
color: var(--vp-c-text-3);
|
||
min-width: 40px;
|
||
}
|
||
|
||
.fusion-result {
|
||
display: flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
gap: 24px;
|
||
flex-wrap: wrap;
|
||
}
|
||
|
||
.fusion-canvas {
|
||
width: 200px;
|
||
height: 200px;
|
||
background: var(--vp-c-bg);
|
||
border-radius: 6px;
|
||
border: 2px solid var(--vp-c-brand);
|
||
}
|
||
|
||
.fusion-formula {
|
||
text-align: center;
|
||
}
|
||
|
||
.formula-title {
|
||
font-weight: 500;
|
||
margin-bottom: 8px;
|
||
}
|
||
|
||
.formula-content {
|
||
font-family: var(--vp-font-family-mono);
|
||
font-size: 0.875rem;
|
||
background: var(--vp-c-bg);
|
||
padding: 12px;
|
||
border-radius: 6px;
|
||
}
|
||
|
||
.use-cases {
|
||
background: var(--vp-c-bg-soft);
|
||
border-radius: 6px;
|
||
padding: 20px;
|
||
}
|
||
|
||
.use-cases-title {
|
||
font-weight: 500;
|
||
margin-bottom: 16px;
|
||
text-align: center;
|
||
}
|
||
|
||
.use-cases-grid {
|
||
display: grid;
|
||
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
|
||
gap: 16px;
|
||
}
|
||
|
||
.use-case-card {
|
||
background: var(--vp-c-bg);
|
||
border-radius: 6px;
|
||
padding: 16px;
|
||
text-align: center;
|
||
}
|
||
|
||
.use-case-icon {
|
||
font-size: 2rem;
|
||
margin-bottom: 8px;
|
||
}
|
||
|
||
.use-case-title {
|
||
font-weight: 600;
|
||
margin-bottom: 4px;
|
||
}
|
||
|
||
.use-case-desc {
|
||
font-size: 0.75rem;
|
||
color: var(--vp-c-text-3);
|
||
}
|
||
|
||
.info-box {
|
||
margin-top: 16px;
|
||
padding: 12px;
|
||
background: var(--vp-c-bg-mute);
|
||
border-radius: 6px;
|
||
font-size: 0.9rem;
|
||
line-height: 1.6;
|
||
}
|
||
|
||
.icon {
|
||
font-size: 1.2em;
|
||
}
|
||
</style>
|