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LAFITE (HPS v2 checkpoint)
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LAFITE (HPS v2 checkpoint) is an open-weights image model from LAFITE authors, released November 2021.
Catalogue identity notes
HPS v2 Appendix D: 256×256 default configuration, exact author-linked checkpoint Google Drive file 1tMD6MWydRDMaaM7iTOKsUK-Wv2YNDRRt.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of LAFITE (HPS v2 checkpoint), out of 197 with a score.
| # | model | score | where |
|---|---|---|---|
| 109 | FuseDream (BigGAN 512) | 48±15 | comparison only |
| 110 |  VQ-Diffusion (ITHQ) | 48±15 | local |
| 111 | LAFITE (HPS v2 checkpoint) | 48±15 | comparison only |
| 112 |  SeedEdit 3.0 | 48±3 | comparison only |
| 113 |  Ovis-Image-7B | 48±7 | local |
$ what it's good at
text to image▁▂▇▇▆▅█▇▂▃▁▁ #145 of 157 * · 6.1% of its score · 1 test
Trails CogView2, Versatile Diffusion v1.0, Dreamlike Photoreal 2.0 here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| HPS v2 benchmark (4-style average) | 24.8% ✎ | ▃··▃▅·▅·▅▅█▅ beats 1/14 | 6.1% |
$ where to run it
No verified API or download recorded yet · add one
Weights and documentation: github.com/drboog ↗
$ how the score was worked out · tgxs002/HPSv2 repository READ… 6%
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 |
|---|---|---|
 tgxs002/HPSv2 repository README, HPS v2 benchmark table | 1 | 6% |
| prior · pull toward the middle | 94% | |
| weighted average | = 47.6 |
$ 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