genblaze-luma 0.2.1

Luma Dream Machine video provider adapter for genblaze

genblaze-luma

Luma Dream Machine (Ray-2) video provider adapter for genblaze — text-to-video AI pipelines with SHA-256 provenance manifests on every render.

genblaze-luma wraps Luma Labs' Dream Machine API (Ray-2, Ray-Flash-2) as a genblaze provider. Compose Luma video generations into multi-step AI pipelines, persist outputs to Backblaze B2 or any S3-compatible store, and emit a tamper-evident provenance manifest for every run.

Why genblaze-luma

• Luma Ray-2, unified API — same Pipeline API as Sora, Veo, Runway, Flux.
• Provenance by default — SHA-256-verified manifest with prompt, model, and params on every render.
• Production-ready — timeouts, retries, progress streaming, moderation hooks, step caching.
• Composable — chain Luma outputs into downstream FFmpeg steps or AV compositors.
• Durable storage — plug genblaze-s3 in for Backblaze B2 / AWS S3 / R2 / MinIO persistence.

Models

Model	Notes
ray-2	Latest, highest-quality Dream Machine
ray-flash-2	Faster and lower-cost variant

Install

pip install genblaze-luma

Registers the luma provider via entry points; genblaze-core discovers it automatically.

Quickstart — Ray-2 text-to-video

pip install genblaze-core genblaze-luma
export LUMAAI_API_KEY="..."

from genblaze_core import Modality, Pipeline
from genblaze_luma import LumaProvider

run, manifest = (
    Pipeline("luma-demo")
    .step(LumaProvider(), model="ray-2",
          prompt="A slow-motion shot of ocean waves crashing against volcanic rocks at golden hour, cinematic",
          modality=Modality.VIDEO, aspect_ratio="16:9")
    .run(timeout=300)
)
print(run.steps[0].assets[0].url, manifest.canonical_hash)

Persist to Backblaze B2

from genblaze_core import KeyStrategy, ObjectStorageSink
from genblaze_s3 import S3StorageBackend

storage = ObjectStorageSink(
    S3StorageBackend.for_backblaze("my-bucket"),
    key_strategy=KeyStrategy.HIERARCHICAL,
)
# pass sink=storage to .run(…)

Backblaze B2 is the recommended default sink for large AI-generated video.

Credentials

Env var	Where to get it
LUMAAI_API_KEY	https://lumalabs.ai/dream-machine/api

Documentation

• Main repo: https://github.com/backblaze-labs/genblaze
• Example: luma_video_pipeline.py

Related packages

• genblaze-core — the pipeline SDK
• genblaze-s3 — durable storage on Backblaze B2 and other S3-compatible backends
• Other video providers: genblaze-openai (Sora) · genblaze-google (Veo) · genblaze-runway (Gen-4) · genblaze-decart (Lucy)

License

MIT