This dataset contains all images and measurements generated during a July 2026 recalibration experiment for HareSkip, a step-skipping inference-acceleration extension for DiT-based image diffusion, implemented on top of Forge neo (repository: Rootport-AI/forge-neo-Anima-HareSkip).
The experiment measured how much visual damage results from skipping specific denoising steps, across single-step sweeps, multi-step interaction… See the full description on the dataset page: https://huggingface.co/datasets/Rootport/HareSkip-calibration.
