laion-subset / README.md
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: caption
      dtype: string
  splits:
    - name: train
      num_bytes: 4155522966
      num_examples: 24840
  download_size: 4130109564
  dataset_size: 4155522966
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - text-to-image
tags:
  - stable-diffusion
  - lcm
  - lcm-lora
  - training-data
  - laion
pretty_name: LAION Subset for LCM-LoRA Training
size_categories:
  - 10K<n<100K

LAION Subset for LCM-LoRA Training

Author: Juhi Singh | HuggingFace

Dataset Description

This dataset is a curated subset of LAION-5B used for training Latent Consistency Model (LCM) LoRA adapters on Stable Diffusion v1.5. It contains high-quality image-caption pairs optimized for distillation training.

Dataset Details

  • Total Examples: 24,840 image-caption pairs
  • Dataset Size: ~4.16 GB
  • Resolution: 512×512
  • Format: Parquet files with image and caption columns
  • Source: Curated from LAION-5B
  • Use Case: LCM-LoRA distillation training

Dataset Structure

Each example contains:

  • image: PIL Image object (512×512)
  • caption: Text description of the image