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JHLew/fomo_480k

FoMo-480k Training data for FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance — 480,000 image sets generated with FLUX.1-dev, no human labels. Each sample is a base image and two variants produced from it by img2img at random denoising timesteps s ∈ [1, 50] (50 steps, guidance 3.5). Here s is the img2img strength in steps: the variant re-enters the trajectory s steps before the end, so a larger s forks earlier and lands farther from the base. Note: the s in… See the full description on the dataset page: https://huggingface.co/datasets/JHLew/fomo_480k.

Author / organizationJHLew
License (as declared)apache-2.0
Downloads134 (as reported by Hugging Face)
Likes0
Created18 April 2026
Last updated at source29 September 2026
image-quality-assessmentperceptual-metricdiffusionflux
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