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mikemike2001/laion-subset

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Hugging Face2026-04-17 更新2026-04-26 收录
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--- 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
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