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HiDream-E1.1

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HiDream-E1.1 is an open-weights image model from HiDream, released July 2025. Licence: mit.

Catalogue identity notes

HiDream's E1.1 instruction-editing model (HiDream-ai/HiDream-E1-1, pinned a7cc570, MIT; created 2025-07-16), successor of HiDream-E1-Full. ViGoR names 'HiDream-E1.1 (Cai et al., 2025)'. Edit-Compass's unversioned 'HiDream-E1' is not mapped (E1-Full vs E1.1). Comparison-only.

Model information sources

Release date ↗ · Weights licence ↗

25.8±10.8comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

Score within the LMArena text-to-image comparison set only.

$ how it compares

The image models ranked either side of HiDream-E1.1, out of 197 with a score, then more from HiDream.

#modelscorewhereRAMreleased
188Stable Diffusion v1.1 CompVis26±3local~2.1GB2022-08
189Stable Diffusion v1.2 CompVis26±3local~2.1GB2022-08
190HiDream-E1.1 HiDream26±11comparison only2025-07
191Stable Diffusion v1.5 Stability AI26±2local~2.1GB2022-10
192OneCAT-3B Meituan (OneCAT team)24±5local~25GB2025-09
more from HiDream
60HiDream-O1-Image HiDream58±2api $0.010/image +local~5.3GB2026-05
86HiDream-O1-Image-Dev HiDream54±5comparison only2026-05
116HiDream-I1-Full HiDream47±2api $0.050/image +local~76GB2025-04

see all image models · find the ones that fit your machine

$ what it's good at

other tests1 not in a task · 51% of its score
testresultvs the others in its rundifficultycountswhy
ViGoR-Bench zero-shot visual reasoning, image models (Result Avg)1.7% ✎▃···▂·▂█▆▅·▂ beats 0/15hard · avg 31%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 51%typical

$ where to run it

No verified API or download recorded yet · add one

Weights and documentation: huggingface.co/HiDream-ai ↗

$ how the score was worked out · ViGoR-Bench: How Far Are Visu… 51%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners? (arXiv:2603.25823v1)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 51%CC-BY-4.0
prior · pull toward the middle▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 49%
weighted average= 25.8

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data updated · sources and licences · json