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Free<What it does, one line>. Trigger phrases: <phrases>.
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Luma Dream Machine video generation: text-to-video and image-to-video, status polling, cancel, image upload. Trigger phrases: luma, dream machine, luma video, ray video.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Generate short-form video with Luma's Dream Machine API: text-to-video and image-to-video, plus generation cancel and image upload for reference frames. A strong default for short clips in the catalog. Confirm exact model IDs in docs.lumalabs.ai before use; the API surface skews toward Dream Machine generation.
All commands go through bin/luma.py:
bin/luma.py auth # verify the API key (free)
bin/luma.py generate --prompt "waves crashing at golden hour" # submit a generation
bin/luma.py generate --prompt "slow push in" --image-url https://.../frame.png # image-to-video
bin/luma.py generate --prompt "..." --model ray2 --json '{"aspect_ratio": "16:9"}'
bin/luma.py status --id <generation_id> # poll (no faster than every 5s)
bin/luma.py cancel --id <generation_id> # cancel a queued/running generation
bin/luma.py upload --file ./frame.png # upload an image for reference frames
generate prints the generation id. Poll status with backoff; states move toward completed or failed. Webhooks are supported for production use.
luma (credential is collected as custom.luma)credentials.request_api_access); created in the Luma developer dashboardapi.lumalabs.aibin/luma.py auth (must return "ok": true). The key is sent as Authorization: Bearer <key>.generate, stating the model and expected duration/cost.status no faster than every ~5 seconds.bin/luma.py). Do not print, log, or transmit the key value.🧪 Draft: written from Luma's public API docs via the research dossier; not yet live-tested end-to-end. The /upload path and current model IDs need a live check against docs.lumalabs.ai on first use.
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