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FuseDream (BigGAN 512)
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FuseDream (BigGAN 512) is an open-weights image model from FuseDream authors, released December 2021.
Catalogue identity notes
HPS v2 Appendix D: 512×512 output, 1000 initialisation iterations, 1000 optimisation iterations, 5 basis images.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of FuseDream (BigGAN 512), out of 197 with a score.
| # | model | score | where |
|---|---|---|---|
| 107 |  Kandinsky 3 | 48±11 | local |
| 108 |  Step1X-Edit v1.1 | 48±3 | local |
| 109 | FuseDream (BigGAN 512) | 48±15 | comparison only |
| 110 |  VQ-Diffusion (ITHQ) | 48±15 | local |
| 111 | LAFITE (HPS v2 checkpoint) | 48±15 | comparison only |
$ what it's good at
text to image▁▂▇▇▆▅█▇▂▃▁▁ #142 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) | 25.3% ✎ | ▃··▃▅·▅·▅▅█▅ beats 3/14 | 6.1% |
$ where to run it
No verified API or download recorded yet · add one
Weights and documentation: github.com/gnobitab ↗
$ 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 | = 48.0 |
$ 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