datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
L2P-dataset
L2P: Unlocking Latent Potential for Pixel Generation
An efficient transfer paradigm enabling high-quality, end-to-end pixel-space diffusion with minimal computational overhead and data requirements.
Pixel diffusion models have recently regained attention for visual generation. However, training advanced pixel-space models from scratch demands prohibitive computational and data resources. To address this, we propose the Latent-to-Pixel (L2P) transfer… See the full description on the dataset page: https://huggingface.co/datasets/zhen-nan/L2P-dataset.l2p-datasetLatent-to-pixel Qwen-Image-2512 synthetic run (raw)
20k prompts x 2 seeds = 40k samples
prompts generated using Qwen3.6
l2p-clean
L2P-Clean — curated (prompt, image) pairs for Latent-to-Pixel transfer on Qwen-Image-2512
Aesthetic-curated synthetic dataset for the L2P distillation recipe
(arXiv:2605.12013): the source diffusion model's
own outputs, cleaned "to the bones" so the pixel decoder fits an already-smooth,
high-quality teacher manifold.
Provenance
Merged and de-conflicted from three independent synthetic runs (each its own prompt
corpus — prompt ids are namespaced with a raw_ /… See the full description on the dataset page: https://huggingface.co/datasets/shauray/l2p-clean.l2p-part0lumia.l2