Datasets:
Update README.md
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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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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## Usage
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### Loading the Dataset
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```python
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