whatmodel.sh / video / Luma Dream Machine 1.0

Luma Dream Machine 1.0 is a closed-weights video model from Luma AI, released June 2024. Licence: proprietary.

Catalogue identity notes

Dream Machine as launched 12 June 2024; superseded by 1.5 (Aug 2024), 1.6 (Sep 2024) and Ray 2. Not in Luma's current API (ray-2, ray-flash-2).

41.8±6.6comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The video models ranked either side of Luma Dream Machine 1.0, out of 139 with a score, then more from Luma AI.

#modelscorewhereRAMreleased
95Open-Sora 2.0 HPC-AI Tech42±5local~55GB2025-03
96Pyramid Flow (SD3) Peking University / Kuaishou42±3local~8GB2024-10
97Luma Dream Machine 1.0 Luma AI42±7comparison only2024-06
98Sora (original, 2024) OpenAI42±2comparison only2024-12
99Wan 2.1 T2V 1.3B Alibaba40±4api $0.040/sec +local~8.6GB2025-02
more from Luma AI
49Ray 3 Luma AI55±2comparison only2025-09
66Luma Dream Machine 1.6 Luma AI50±7comparison only2024-09
94Ray 2 Luma AI43±2comparison only2025-01

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

$ what it's good at

text to video▇▅▄▆█▆▇▂▃▃▂▄ #60 of 94 * · 81% of its score · 1 test

Trails T2V-Turbo-v2 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
ChronoMagic-Bench-150 GPT4o-MTScore (time-lapse metamorphosis)62.2% ✎▄·▄█▄▄▄·▄·▄█ beats 10/10medium · avg 71%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 81%at its level

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · ChronoMagic-Bench: A Benchmar… 81%

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
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 81%CC-BY-4.0
prior · pull toward the middle▇▇▇▇▇▇ 19%
weighted average= 41.8

$ 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