datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
zenodo-second-hand-fashion-v3
Second-Hand Fashion Dataset — wide (one row per garment)
Repack of Zenodo record 10.5281/zenodo.13788681 (Nauman et al., RISE + Wargön Innovation + Myrorna, CC-BY-4.0) into a one-row-per-garment wide layout so the HF dataset viewer shows every attribute — three images plus 25 metadata columns — on a single row.
Previous v3 releases stored one row per (garment, view) with satellite tables that had to be joined manually. That layout is preserved in git history if you need it; the… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/zenodo-second-hand-fashion-v3.dancing-chibi-figures
Dancing Chibi Figures — v0.1
One template Q-version (chibi) character, animated by 1,430 motion clips, rendered with exact labels and motion-grounded captions — and paired frame-for-frame with Dancing Stick Figures.
1,423 clips · 6 s @ 20 fps · 128×128 RGBA · 514,800 frames · 143 text prompts × 10 seeds × 3 cameras ·
every frame carries the 3D skeleton, camera, depth, camera-space normals, part segmentation, motion events and five
levels of caption.
One row per motion group;… See the full description on the dataset page: https://huggingface.co/datasets/sprited/dancing-chibi-figures.anny-render-corpus-generated-train
anny-render-corpus-generated
Images generated by OmniGen2 from the constructed renders in
chibifire/anny-render-corpus.
Code: weftspun/anny-render-corpus, on the 6-datasource side of the hexagon.
Why this is a separate repository
These are generated synthetic, not constructed. They were sampled from a model rather than
rendered deterministically from a rig, so their labels are inferred and not true by
construction. Our working agreement requires generated data to… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/anny-render-corpus-generated-train.editscore-rl-train
Introduction
Training data for OmniGen2 Online-RL using EditScore.
Usage
# meta file: rl.jsonl
# images:
cat images_part_* > images.tar.gz && tar -xzvf images.tar.gz
Citation
@article{luo2025editscore,
title={EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling},
author={Xin Luo and Jiahao Wang and Chenyuan Wu and Shitao Xiao and Xiyan Jiang and Defu Lian and Jiajun Zhang and Dong Liu and… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/editscore-rl-train.anny-dress-on-stage-train
anny-dress-on-stage-train
Dress-on edits of ANNY parametric bodies with second-hand garment photos, edited by
VoxHammer (training-free 3D latent editing on TRELLIS-image-large), rendered by
Mitsuba 3 over a seeded Hammersley camera sequence, and scored with the MaskScore
geometric metric against the source's own decode.
MaskScore-shaped ETNF: dress_on (root), dress_on_candidates (rank1 own garment,
rank3 wrong garment, rank5 source decode = the floor), dress_on_scores (per view… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/anny-dress-on-stage-train.omnigen2-azimuth-ladder-anny-20260901
omnigen2-azimuth-ladder-anny-20260901
An image-edit ladder in the EditScore dataset shape: a candidate measured against a baseline
on the same prompts, one row per (source, edited, instruction) with the per-pair
measurement beside the images. The baseline is OmniGen2; the candidate is the same model
after a camera-control LoRA.
This ladder has no EditScore score. The runs measured recovered azimuth — where the
body actually faces in the generated view — not EditScore's pf / sc /… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/omnigen2-azimuth-ladder-anny-20260901.anny-render-corpus-train
anny-render-corpus
A camera-controlled render corpus from the ANNY rig, and the measurements that motivated it.
Code: weftspun/anny-render-corpus, on the 6-datasource side of the hexagon.
Everything here is produced by scripts in that repository and can be regenerated from it.
What this is for
Asked in plain language for eight camera azimuths, OmniGen2 returns a body that does not
turn. Recovered azimuth tracks the request with a slope of 0.04, where 1.00 is… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/anny-render-corpus-train.kawaii_chibi_avatar_dataset
Kawaii Chibi Avatar Dataset
This is the dataset used to train
Kawaii Chibi Avatar for Illustrious.
All images have a .txt file auto-tagged on Civitai.
All images were generated on SDXL using Kawaii Chibi Avatar for SDXL
License
License: CC BY 4.0
Attribution:
Kawaii Chibi Avatar Dataset © 2025 by Robb-0 is licensed under CC BY 4.0
lladao-step-sweep-shard90-20260904
LLaDA-o step-count sweep on shard-90 held-out (2026-09-04)
Measurement artifact for RFD 2198 (LLaDA-o speed work for the dressing
overlay). 21 rows, one per (pair, steps) combination across 5 held-out
pairs from shard 90 of chibifire/editscore-reward-train.
Result summary
Mean EditScore overall across 5 pairs at each step count, compared
against OmniGen2's 3.36 baseline on the same 5 pairs:
steps
n
mean overall
wins vs OmniGen2 (3.36)
wall/edit
2
5… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/lladao-step-sweep-shard90-20260904.zenlesszonezero_chibirung0-omnigen2-anny-depth-train
rung0-omnigen2-anny-depth
Rung 0 smoke invocation of the depth-conditioned generation pipeline: one
ANNY render's depth map conditioning one OmniGen2 image. A pipeline record,
not a training corpus.
Five zstd parquet tables in Essential Tuple Normal Form sharing primary
keys: run (one row per invocation), run_params and prompt (satellites),
render (camera and framing of the depth control), asset (image bytes:
the depth control and the generated output).
Generator:… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/rung0-omnigen2-anny-depth-train.chibi-anime3D_Chibi_Images_Captioned3D_chibiThis is the dataset for my cute 3D chibi LoRA demo posted on Tensor.art. I am trying to fine-tune the Hunyuan DiT base model for better quality.
Genshin_Impact_5.6_Characters_with_3D_Chibi