这是一款基于 ERNIE-Image Turbo + 分块处理 的图片高清放大应用。
工作流会先对输入图片做基础放大，再按尺寸自动切成多个图块，对每个图块分别进行识别、重绘和细节增强，最后再把所有图块重新拼回完整图片。和普通整图放大不同，这条流的核心是 分块放大 + 分块重绘 + 分块重组，因此更适合处理高分辨率图片、细节很多的图、以及整图直接放大容易糊掉的场景。
这条工作流适合：
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老图放大
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二次元图片超清
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海报图增强
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人像细节补充
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大图精修
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想保留整体构图但把细节重新做清楚的场景
推荐使用方式：
上传一张清晰度还可以但细节不够强的图片，系统会先用放大模型做第一轮放大，再按分块方式逐块精修。因为这条流里还接了 WD14Tagger 自动识别标签，再把识别结果送进正向提示词编码，所以很适合“用户不会写提示词，也想自动增强细节”的玩法。当前采样参数默认是 steps=6、cfg=1、denoise=0.4，属于偏保守的细节修复型放大，不是大幅改图。
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