Dataset · Hugging Face

6DammK9/e621_2024-latents-sdxl-1ktar

Name: e621_2024-latents-sdxl-1ktar
Creator: 6DammK9
License: mit
Keywords: task_categories:image-classification, task_categories:zero-shot-image-classification, task_categories:text-to-image, annotations_creators:no-annotation, source_datasets:danbooru, language:en, language:ja, license:mit, size_categories:1M<n<10M, format:webdataset, modality:text, library:datasets, library:webdataset, library:mlcroissant, region:us

E621 2024 SDXL VAE latents in 1k tar Dedicated dataset to align both NebulaeWis/e621-2024-webp-4Mpixel and deepghs/e621_newest-webp-4Mpixel. "4MP-Focus" for average raw image resolution. Latents are ARB with maximum size of 1024x1024 as the recommended setting in kohyas. Major reason is to make sure I can finetune with RTX 3090. VRAM usage will raise drastically after 1024. Generated from prepare_buckets_latents_v2.py, modified from prepare_buckets_latents.py. Used for… See the full description on the dataset page: https://huggingface.co/datasets/6DammK9/e621_2024-latents-sdxl-1ktar.

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Author / organization	6DammK9
License (as declared)	mit
Downloads	852 (as reported by Hugging Face)
Likes	1
Created	1 January 2025
Last updated at source	27 February 2025

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