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Floor33 Pictures (August 2023)

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Floor33 Pictures (August 2023) is a closed-weights video model from Floor33 Pictures, released August 2023.

Catalogue identity notes

Historical hosted model/API evaluated in EvalCrafter. No current API endpoint verified.

23.7±2.3comparison only: no current run option verifiedfrom 4 benchmark results across 1 source

$ how it compares

The video models ranked either side of Floor33 Pictures (August 2023), out of 139 with a score.

#modelscorewhereRAMreleased
135LVDM (text-to-video) HKUST / Tencent AI Lab25±3local~6.1GB2023-05
136ModelScope T2V 1.7B Alibaba DAMO Academy25±2local~4.6GB2023-03
137Floor33 Pictures (August 2023) Floor33 Pictures24±2comparison only2023-08
138ZeroScope v2 XL (576w → XL pipeline) cerspense24±2local~15GB2023-06
139CogVideo 9B (original) Tsinghua / Zhipu23±7local~52GB2022-05

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

$ what it's good at

text to video▇▅▄▆█▆▇▂▃▃▂▄ #92 of 94 · 98% of its score · 4 tests
testresultvs the others in its rundifficultycountswhy
EvalCrafter 2023 motion quality49.16 / 100 ✎▄····▄██··▄▄ beats 0/7very easy · avg 85.14 / 100▇▇▇▇▇▇▇▇▇▇ 26%at its level
EvalCrafter 2023 visual quality58.78 / 100 ✎▄█·····▄·█▄▄ beats 3/7very easy · avg 87.87 / 100▇▇▇▇▇▇▇▇▇▇ 25%at its level
EvalCrafter 2023 temporal consistency50.24 / 100 ✎▄···▄▄▄▄▄··█ beats 0/7very easy · avg 88.67 / 100▇▇▇▇▇▇▇▇▇▇ 24%at its level
EvalCrafter 2023 text-video alignment61.32 / 100 ✎▂··▂▂·····▂█ beats 4/7very easy · avg 87.86 / 100▇▇▇▇▇▇▇▇▇ 23%at its level

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · EvalCrafter: original 2023 te… 98%

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
EvalCrafter: original 2023 text-to-video evaluations4▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 98%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 23.7

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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