Dataset · Hugging Face

vanzl/DiffusionART-Prompts

Name: DiffusionART-Prompts
Creator: vanzl
License: other
Keywords: task_categories:text-to-image, task_categories:text-to-video, task_categories:image-to-video, license:other, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2610.12572, region:us

DiffusionART Prompts Public prompt files used by the DiffusionART training infrastructure. Download from this dataset; no upstream GitHub data download is needed at training time. The converted JSONL files preserve source order and text. GenEval also preserves the complete per-prompt scoring annotations. Existing PickScore/video manifests match the previously pinned SHA256 values. GenEval/OCR are the named public Flow-GRPO splits, not certified byte-identical copies of private… See the full description on the dataset page: https://huggingface.co/datasets/vanzl/DiffusionART-Prompts.

View on Hugging FaceReport an issue

Author / organization	vanzl
License (as declared)	other
Downloads	155 (as reported by Hugging Face)
Likes	2
Created	13 October 2026
Last updated at source	13 October 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/9788f058-e27b-4c0e-aad5-f0ba1eb70050" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Related papers

DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion ModelsPaper

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.