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穿越时空的滤镜——老照片修复
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穿越时空的滤镜——老照片修复

Prompt
穿越时空的滤镜——老照片修复
感谢宝玉老师的建议。多次尝试之后决定使用玻璃滤镜实现对老照片核心部分的“修复”。
效果图包括:
1. 清华二校门老照片(被毁之前)
2. 恭亲王照片(大概是中国人最早的相片)
3. 老登李鸿章
4. 20元钞票中的风景(漓江)
提示词见评论区,欢迎尝试与分享
@dotey https://t.co/0KDbX4W4nl
Prompts
对提供的照片,根据提示词生成图片,滤镜采用大滤镜,使用彩色呈现。
{
"type": "augmented_reality_filter_synthesis",
"aspect_ratio": "16:9",
"instruction": "CRITICAL: This is an IMAGE-TO-IMAGE task, not a text-to-image generation. You must strictly preserve the pixels of the {{UPLOADED_IMAGE_FILE}} as the background. Do not generate a new scene based on description. Only the area INSIDE the glass filter is allowed to change.",
"global_constraints": {
"source_fidelity": "The background outside the filter must be an EXACT pixel-match to {{UPLOADED_IMAGE_FILE}}. Do not alter, crop, expand, or \'reimagine\' the background context.",
"context_isolation": "Ignore all previous images or conversation topics. Focus EXCLUSIVELY on the current uploaded file.",
"modification_scope": "modifications are STRICTLY limited to the area inside the glass filter lens."
},
"dynamic_analysis_module": {
"step_1_focal_point_extraction": {
"task": "Identify the coordinates of the main subject (Face/Object) in the current file to position the filter.",
"output_variable": "[TARGET_COORDINATES]",
"logic": "Find the center of interest solely within the provided image."
},
"step_2_filter_specs": {
"task": "Determine filter parameters based on the subject.",
"output_variable_shape": "[FILTER_SHAPE]",
"output_variable_style": "[HD_RESTORATION_STYLE]",
"logic": "Face -> Circular/Oval + Skin Restoration. Building -> Rectangular + Structure Sharpening."
}
},
"system_prompt_logic": {
"main_premise": "A first-person view of a hand holding a [FILTER_SHAPE] glass lens over the actual physical print of {{UPLOADED_IMAGE_FILE}}.",
"layer_definition_logic": {
"layer_1_background_immutable": {
"z_index": "Background (The Original Image)",
"content": "The original {{UPLOADED_IMAGE_FILE}} displayed as a large physical print or wall projection.",
"strict_rules": {
"NO_GENERATION": "Do not generate new scenery. Use the uploaded image as a fixed texture map.",
"NO_EXPANSION": "Do not attempt to extend the image borders. Show the image exactly as provided, framing it to fill the background.",
"visual_state": "Must retain all original artifacts: noise, blur, scratches, B&W tone, and low resolution. This is the \'Before\' state."
}
},
"layer_2_foreground_hand": {
"z_index": "Foreground (Overlay)",
"content": "A realistic human hand holding a [FILTER_SHAPE] optical glass lens.",
"positioning": "The hand enters from the edge (unobtrusive). The glass lens is positioned directly over [TARGET_COORDINATES].",
"lighting": "The hand casts a subtle shadow onto the background print to create depth."
},
"layer_3_filter_throughput": {
"z_index": "Lens Interior (The Transformation)",
"content": "The specific pixels visible *through* the glass lens.",
"visual_transformation": {
"action": "Upscale and colorize ONLY the pixels inside the lens boundary.",
"style": "[HD_RESTORATION_STYLE] (4K resolution, realistic textures, vibrant lighting).",
"contrast_lock": "The separation is absolute. Outside the line = Old/Blurry. Inside the line = New/Sharp. No fading gradients."
}
}
}
}
}
Category
UI & Interfaces
Model
Unknown
Views0
Source ID
time-traveling-filter-old-photograph-restoration

Guide

About "穿越时空的滤镜——老照片修复"

What is this prompt for?

"穿越时空的滤镜——老照片修复" AI image prompt for Unknown (UI & Interfaces). 穿越时空的滤镜——老照片修复 感谢宝玉老师的建议。多次尝试之后决定使用玻璃滤镜实现对老照片核心部分的“修复”。 效果图包括: 1. 清华二校门老照片(被毁之前) 2. 恭亲王照片(大概是中国…

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FAQ

What is the "穿越时空的滤镜——老照片修复" prompt?
It is an AI image-generation prompt for Unknown in the UI & Interfaces category. This page includes the full prompt text, example visuals, and a one-click recreate path in Picva.
How do I use this prompt to generate an image?
Copy the prompt from this page, or use Generate / Studio. Paste it into a compatible image model, or recreate the look in Picva with optional reference images.
Which model is this prompt for?
This page lists Unknown. Most descriptive prompts also transfer to nearby image models such as GPT Image, Flux, or Midjourney with light style tweaks.
Can I use the result commercially?
You can usually copy the prompt for creation, but commercial use of the final image depends on the model terms, reference-image rights, and the generated content. Follow the source author and platform rules.