Dataset · Hugging Face

asiimo/genai-bench-sdxl-latents

Name: genai-bench-sdxl-latents
Creator: asiimo
Keywords: task_categories:text-to-image, language:en, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2406.13743, arxiv:2512.08505, region:us, text-to-image, diffusion

GenAI-Bench SDXL with Latent Trajectories SDXL generations for the GenAI-Bench prompts, paired with the per-step decoded-latent trajectory of each generation. This dataset was created to evaluate NoisyCLIP. For every prompt, 10 images were generated (1600 prompts → 16,000 generations). Each generation provides: the full-resolution final image, the 50-step denoising trajectory (each step's latent decoded to a small preview image), and a CLIP-FlanT5-XXL VQAScore measuring… See the full description on the dataset page: https://huggingface.co/datasets/asiimo/genai-bench-sdxl-latents.

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Author / organization	asiimo
Downloads	224 (as reported by Hugging Face)
Likes	1
Created	29 June 2026
Last updated at source	7 July 2026

text-to-imagediffusionsdxllatentsvqascoregenai-bench

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