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| license: cc-by-nc-sa-4.0 |
| base_model: black-forest-labs/FLUX.1-Kontext-dev |
| tags: |
| - lora |
| - flux |
| - image-restoration |
| - photographic-simulation |
| - five5k |
| - reverse-retouching |
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| |
| # Kontext-Five5k-Revert LoRA |
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| ## Model Description / 模型描述 |
| **Kontext-Five5k-Revert** is a specialized LoRA trained on the **MIT-Adobe FiveK** dataset, designed for **inverse image processing**. While most AI tools aim for "perfect" aesthetics, this model reverses the professional retouching pipeline. |
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| **Kontext-Five5k-Revert** 是一个基于 **MIT-Adobe FiveK** 数据集训练的逆向图像处理 LoRA 模型。与大多数追求“完美画质”的模型不同，本模型专注于**逆向还原**。它能够将经过专业后期修饰、高动态范围的精修图像，还原为具有“原始感”的标准画质，并能模拟常见的摄影瑕疵。 |
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| ### Key Capabilities / 核心能力 |
| - **Quality Reversion (画质逆向):** Strips away high-end post-processing to restore a standard, unedited aesthetic. / 去除专业的后期处理痕迹，还原图像的标准化未编辑外观。 |
| - **Exposure Simulation (曝光模拟):** Accurately mimics digital artifacts associated with underexposure and overexposure. / 精确模拟欠曝（Underexposure）和过曝（Overexposure）带来的视觉特征。 |
| - **Hardware Simulation (设备模拟):** Replicates the visual profile, color curves, and limited dynamic range of mobile phone photography. / 复制手机摄影的色彩曲线、噪点特征及有限的动态范围。 |
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| ## 🧩 Trigger Prompts / 触发指令 |
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| | Task / 任务 | Prompt / 提示词 | |
| | :--- | :--- | |
| | **Simulate Underexposure / 模拟欠曝** | Downsample refined high-quality images to standard quality and simulate underexposure | |
| | **Mobile Photography / 手机感** | Downsample refined high-quality images to standard quality and simulate mobile phone photography | |
| | **Simulate Overexposure / 模拟过曝** | Downsample refined high-quality images to standard quality and simulate overexposure | |
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| ## ⚙️ Recommended Settings / 建议参数 |
| - **LoRA Weight:** 0.6 - 1.0 |
| - **Base Model:** FLUX.1-Kontext-dev |
| - **Sampling:** Match standard FLUX settings |
