Yuehao/imagenet-1k-256
ImageNet-1k-256 A preprocessed dataset of ImageNet-1k for image generation. Each image is resized to 256x256. Resized images are processed by stabilityai/sd-vae-ft-mse to produce latents. The scripts used for data preprocessing are from REPA & EDM. The commands used to generate this dataset: python dataset_tools.py convert --source=/path/to/imagenet/train --dest=/path/to/imagenet_256/images.zip --resolution=256x256 --transform=center-crop-dhariwal python dataset_tools.py… See the full description on the dataset page: https://huggingface.co/datasets/Yuehao/imagenet-1k-256.
| Author / organization | Yuehao |
|---|---|
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 May 2025 |
| Last updated at source | 17 May 2025 |
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129 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: ImageNet-1k-256 A preprocessed dataset of ImageNet-1k for image generation. Each image is resized to 256x256. Resized images are processed by stabilityai/sd-vae-ft-mse to produce latents. The scripts used for data preprocessing are from REP → ImageNet-1k-256 A preprocessed dataset of ImageNet-1k for image generation. Each image is resized to 256x256. Resized images are processed by stabilityai/sd-vae-ft-mse to produce latents. The scripts used for data preprocessing are from REP
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