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Boogu-Image-0.1 Base
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Boogu-Image-0.1 Base is an open-weights image model from Boogu project, released June 2026. Licence: apache-2.0.
Catalogue identity notes
Boogu project's Boogu-Image-0.1 Base text-to-image model (Boogu/Boogu-Image-0.1-Base, pinned 334ad7e, Apache-2.0; card: 'a research project only, and not an official model release'; technical report arXiv 2607.13125, authors unrelated to UltraText). UltraText Table 5 lists 'Boogu-Image-0.1-Base' among open-weight models. Not mapped: 'Boogu-Image-0.1-Turbo' (a hotfix revision of the Turbo weights was published on 2026-06-25 alongside the original, and the benchmark does not say which). Comparison-only.
Model information sources
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of Boogu-Image-0.1 Base, out of 197 with a score.
| # | model | score | where |
|---|---|---|---|
| 20 |  Qwen-Image-2.0-Pro (2026-06-22) | 67±2 | api $0.075/image |
| 21 |  Uni-1.1 | 67±2 | api $0.040/image |
| 22 | Boogu-Image-0.1 Base | 67±5 | comparison only |
| 23 |  Ideogram 4.0 | 66±2 | api $0.060/image +local |
| 24 | Qwen-Image 2.0 Pro | 66±3 | api $0.075/image |
$ what it's good at
text to image▁▂▇▇▆▅█▇▃▃▁▁ #20 of 157 * · 88% of its score · 1 test
Beats Qwen-Image-2.0-Pro (2026-06-22), Uni-1.1 here, though they rank higher overall. Trails Qwen-Image 2.0 Pro, Ideogram 4.0 here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| UltraText Bench (Composite, bilingual dense text rendering) | 77.9% ✎ | ▁▂▂█▃▁▃▃·▁·▁ beats 16/22 | 88% |
$ where to run it
No verified API or download recorded yet · add one
Official weights and documentation: huggingface.co/Boogu ↗
$ how the score was worked out · UltraText Bench: A Comprehens… 88%
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
| source | results | share of the score |
|---|---|---|
 UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation (arXiv:2610.09823v1) | 1 | 88% |
| prior · pull toward the middle | 12% | |
| weighted average | = 66.6 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json