---
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](https://huggingface.co/juhirats)

## 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

```python