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--- |
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language: |
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- en |
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pretty_name: FFHQ Proxy Reference |
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size_categories: |
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- 10K<n<100K |
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tags: |
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- image-restoration |
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- portrait-upscaling |
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- face-super-resolution |
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- aesthetic-refinement |
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license: creativeml-openrail-m |
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task_categories: |
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- image-to-image |
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--- |
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# FFHQ Proxy Reference |
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## Overview |
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**FFHQ Proxy Reference** is a **reference-only dataset repository** designed to integrate high-quality human face images into advanced image restoration and portrait upscaling pipelines. |
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This repository acts as a **proxy schema and access reference** for the official FFHQ dataset and is optimized for: |
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- Facial detail preservation |
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- Portrait-focused super-resolution (up to 8K) |
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- Identity-consistent restoration workflows |
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> **Important** |
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> This repository does **not host image files**. |
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> All images must be obtained directly from the official FFHQ source and loaded locally or via private storage using a custom dataset loader. |
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--- |
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## Intended Use |
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This dataset reference is designed for: |
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- Portrait upscaling models |
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- Face restoration and enhancement pipelines |
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- Aesthetic refinement workflows |
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- High-resolution facial reconstruction tasks |
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It is **not** intended to redistribute FFHQ images or bypass licensing restrictions. |
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--- |
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## Dataset Structure (Expected) |
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Each sample is expected to follow this structure when loaded locally: |
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``` |
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| Field | Type | Description | |
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|------|------|------------| |
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| `image` | `Image` | High-quality face image | |
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| `resolution` | `int` | Image resolution indicator | |
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| `source` | `string` | Original dataset reference | |
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``` |
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--- |
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## Data Source |
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- **Primary Source (Official FFHQ):** |
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https://github.com/NVlabs/ffhq-dataset |
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- **Mirror / Access Reference:** |
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Google Drive (official distribution channel). |
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All images remain under the **original FFHQ license and terms**. |
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--- |
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## Integration Notes |
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- Hugging Face **does not ingest Google Drive folders directly** |
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- This repository serves as: |
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- A dataset reference |
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- A schema definition |
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- A controlled integration point for private pipelines |
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To use the data, users must: |
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1. Download FFHQ locally from the official source |
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2. Load images using a custom `dataset.py` or local loader |
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3. Ensure compliance with FFHQ licensing |
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--- |
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## Example Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset( |
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"Legitking4pf/FFHQ-Proxy-Reference", |
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data_dir="/path/to/local/ffhq" |
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) |
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``` |
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## Licensing |
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- **Repository contents:** CreativeML Open RAIL-M. |
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- **Image data:** Governed entirely by the original FFHQ license. |
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This repository does not grant redistribution rights for FFHQ images. |
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## Disclaimer |
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This dataset is a proxy reference only. It exists to standardize integration and does not replace or mirror the original dataset. |
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- **Users are responsible for:** |
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- Data access |
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- Storage |
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- Licensing compliance |
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- Copy code |
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--- |
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