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Datasets:
Legitking4pf
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FFHQ-Reference

Tasks:
Image-to-Image
Languages:
English
Size:
10K<n<100K
Tags:
image-restoration
portrait-upscaling
face-super-resolution
aesthetic-refinement
License:
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metadata
language:
  - en
pretty_name: FFHQ Proxy Reference
size_categories:
  - 10K<n<100K
tags:
  - image-restoration
  - portrait-upscaling
  - face-super-resolution
  - aesthetic-refinement
license: creativeml-openrail-m
task_categories:
  - image-to-image

FFHQ Proxy Reference

Overview

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.

This repository acts as a proxy schema and access reference for the official FFHQ dataset and is optimized for:

  • Facial detail preservation
  • Portrait-focused super-resolution (up to 8K)
  • Identity-consistent restoration workflows

Important
This repository does not host image files.
All images must be obtained directly from the official FFHQ source and loaded locally or via private storage using a custom dataset loader.

Intended Use

This dataset reference is designed for:

  • Portrait upscaling models
  • Face restoration and enhancement pipelines
  • Aesthetic refinement workflows
  • High-resolution facial reconstruction tasks

It is not intended to redistribute FFHQ images or bypass licensing restrictions.

Dataset Structure (Expected)

Each sample is expected to follow this structure when loaded locally:

| Field | Type | Description |
|------|------|------------|
| `image` | `Image` | High-quality face image |
| `resolution` | `int` | Image resolution indicator |
| `source` | `string` | Original dataset reference |

Data Source

All images remain under the original FFHQ license and terms.

Integration Notes

  • Hugging Face does not ingest Google Drive folders directly
  • This repository serves as:
    • A dataset reference
    • A schema definition
    • A controlled integration point for private pipelines

To use the data, users must:

  1. Download FFHQ locally from the official source
  2. Load images using a custom dataset.py or local loader
  3. Ensure compliance with FFHQ licensing

Example Usage 

from datasets import load_dataset

dataset = load_dataset(
    "Legitking4pf/FFHQ-Proxy-Reference",
    data_dir="/path/to/local/ffhq"
)

Licensing

  • Repository contents: CreativeML Open RAIL-M.

  • Image data: Governed entirely by the original FFHQ license.

This repository does not grant redistribution rights for FFHQ images.

Disclaimer

This dataset is a proxy reference only. It exists to standardize integration and does not replace or mirror the original dataset.

  • Users are responsible for:
    • Data access
    • Storage
    • Licensing compliance
    • Copy code