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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: caption |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 4155522966 |
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num_examples: 24840 |
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download_size: 4130109564 |
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dataset_size: 4155522966 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: mit |
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task_categories: |
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- text-to-image |
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tags: |
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- stable-diffusion |
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- lcm |
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- lcm-lora |
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- training-data |
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- laion |
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pretty_name: LAION Subset for LCM-LoRA Training |
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size_categories: |
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- 10K<n<100K |
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--- |
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# LAION Subset for LCM-LoRA Training |
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**Author:** Juhi Singh | [HuggingFace](https://huggingface.co/juhirats) |
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## Dataset Description |
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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. |
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## Dataset Details |
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- **Total Examples:** 24,840 image-caption pairs |
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- **Dataset Size:** ~4.16 GB |
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- **Resolution:** 512×512 |
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- **Format:** Parquet files with image and caption columns |
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- **Source:** Curated from LAION-5B |
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- **Use Case:** LCM-LoRA distillation training |
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## Dataset Structure |
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Each example contains: |
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- `image`: PIL Image object (512×512) |
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- `caption`: Text description of the image |
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```python |
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