Migrate from luma-dream-machine to gemini.
1 documentation-derived translation pattern — what carries over and what to watch for. Cited to the Feature Parity Map; the audit tells you whether the move is worth it.
A team already on a Gemini AI Pro/Ultra plan can fold occasional Luma Dream Machine usage into Gemini's built-in video generation (Gemini Omni / Veo) instead of paying for a separate Luma seat. Recreate text-to-video by attaching the video-generation tool in the Gemini prompt bar (or via the video-generation overview page) and re-authoring the prompt; image-to-video is also available in the app from photo references, while higher-volume editorial work routes through Google Flow, where Pro and Ultra plans get Flow Credits to spend on generations. This fits best for users whose Luma usage is light and prompt-driven, letting one Gemini subscription cover chat, research, and video.
- Warning: Gemini video is gated by a small refreshing daily allowance (only a few videos/day, set per tier and adjusted over time by Google rather than published as a fixed number) instead of a large credit pool, so a heavy Luma workflow that ran dozens of generations a day will hit Gemini's daily limit quickly even on Ultra.
- Warning: Gemini's app video model (Gemini Omni, replacing Veo) outputs short SDR clips (up to about 10 seconds) with SynthID watermarks and no native HDR or 16-bit EXR export, so Luma's HDR/EXR and Ray3 Modify video-to-video editing capabilities have no equivalent and would be lost in the move.
- Warning: Fine-grained controls central to Luma (start/end keyframes, visual annotations, Draft Mode for cheap iteration) are not exposed in Gemini's consumer video tool; expect a more prompt-only, less directable workflow.