Capability Snapshot

Verified Operating Specifications

One required text prompt produces one photorealistic video under the options and estimates below.

Prompt input

Required text

Output

1 photorealistic video

Duration

5 or 9 seconds

Resolution mapping

5s: 540p, 720p, 1080p; 9s: 540p, 720p

Aspect ratios

3:4, 4:3, 9:16, 16:9

Explore More Text To Video

Lock Delivery Geometry Before Rendering

The page exposes aspect ratio and duration before submission, so the clip can be planned for landscape, portrait, or intermediate layouts instead of being reframed by guesswork later. Match the selected duration to the verified resolution compatibility before spending credits.

Budget a Deliberate Generation

A generation is expected to use 300 credits and take about 180 seconds, with speed rated slow. Treat each submission as a reviewed production attempt by finalizing the visible action, framing, and duration before clicking Generate.

Hand Off One Downloadable Asset

The workflow returns one video and ends with download. This makes the page a focused generation stage that can hand the clip to an editor, presentation, or publishing pipeline without implying undocumented post-processing features.

Run Luma Ray 2 Text To Video in Four Steps

Move from a written scene brief to one downloadable video in four deliberate steps.

1

Step 1: Write the Visible Scene

Describe the subject, primary action, environment, lighting, visual style, and one camera direction in the required text prompt.

2

Step 2: Set Duration and Frame

Choose 5 or 9 seconds, then select 3:4, 4:3, 9:16, or 16:9. Use the 5-second option when 1080p compatibility is required; the 9-second path supports 540p or 720p.

3

Step 3: Submit the Reviewed Brief

Click Generate after checking the complete scene. The run is expected to use 300 credits and take about 180 seconds, with generation speed rated slow.

4

Step 4: Download the Final Clip

Review the single photorealistic video and download it for editing, approval, presentation, or publishing.

Single-Clip Workflow Fit Specifications

Use these factors to decide whether this text-first render belongs at the next production stage.

Starting asset A written scene brief is sufficient; no source media is required. Use image-to-video or reference-led generation when the opening composition or identity must match an existing asset. Previsualization, concept shots, and original scenes
Format planning Four aspect ratios and two duration choices define the intended delivery slot before rendering. Use an editor or reframing workflow when several placements must be derived from one master clip. One known channel, screen, or layout
Iteration tolerance Best when a reviewed prompt justifies an expected 300-credit, roughly 180-second attempt. Use a faster or lower-cost drafting workflow when dozens of rough variations are the priority. Deliberate hero-shot exploration
Finished asset scope Returns one downloadable photorealistic video with no documented audio layer. Use an audio-enabled generator, batch workflow, or timeline editor when the deliverable needs sound, multiple options, or assembled scenes. Silent visual inserts and edit-ready motion plates

Choose this workflow when one carefully briefed photorealistic clip is more valuable than rapid batches, source-led control, native audio, or a complete edited sequence.

Ray2 Text-Video Preflight Checks

Verify these four conditions before committing credits to a slow generation.

Before you generate, verify one clear visual event

Cause: Several unrelated actions can compete for attention inside a short clip and make the intended sequence unclear.

Fix: Reduce the brief to one principal subject, one primary action, one setting, and a logical start-to-finish progression.

Retry: Retry after removing competing actions or rewriting them as one ordered event.

Before you generate, verify that emotion is visible

Cause: Abstract labels such as inspiring, tense, or anxious do not specify observable behavior.

Fix: Translate the mood into visible evidence such as posture, hand movement, facial behavior, lighting, weather, or pace.

Retry: Retry when the prompt explains what the viewer should actually see rather than only what the subject feels.

Before you generate, verify that frame and camera agree

Cause: A wide lateral move inside a narrow portrait frame, or several simultaneous camera commands, may make composition less predictable.

Fix: Choose the aspect ratio for the destination, state the subject's frame position, and use one dominant camera move.

Retry: Retry after simplifying the movement or changing the frame to suit the subject's path.

Before you generate, verify budget and patience

Cause: The page estimates 300 credits and about 180 seconds for a run, with generation speed rated slow.

Fix: Review the prompt, duration, aspect ratio, and resolution compatibility before clicking Generate.

Retry: Submit another attempt only when there is a material change to the prompt, duration, or framing.

Frequently Asked Questions

Is Luma Ray 2 Text To Video limited to text input?

Yes. This page accepts one required text prompt and does not document image, video, audio, keyframe, or reference inputs for this mode. A source-led workflow is a better fit when an existing asset must control the opening frame or identity.

What should a production-ready Ray2 prompt include?

A strong prompt should progress from subject to action, visible detail, setting, style, camera direction, and a final quality cue. Specific visual language is more useful than abstract intent because it tells the model what must appear and move within the shot.

Can camera movement be specified without a camera control?

Yes. A named movement such as pan, dolly, crane, orbit, tracking shot, or push-in can be written directly into the prompt. The tool page does not document a separate fixed-camera setting, so the camera request remains a natural-language generation instruction rather than an exact path guarantee.

Does this workflow generate audio or sound effects?

No. Audio-track generation, sound effects, and audio-prompt input are not supported by the documented workflow. The output should be treated as a silent video asset, with any soundtrack, dialogue, or effects added in a separate production stage.

How should 5-second and 9-second clips be chosen?

A 5-second clip is appropriate for one compact action, product reveal, or visual insert and supports 540p, 720p, or 1080p. A 9-second clip gives an event more screen time but is listed for 540p or 720p. The aspect ratio should be chosen separately for the intended placement.

What does the photorealistic quality profile guarantee?

Photorealistic identifies the fixed output profile and intended visual direction. It does not guarantee perfect anatomy, physics, identity, continuity, or artifact-free frames in every generation. Each downloaded clip should be reviewed before client delivery or publication.

Can the generated video be used commercially?

The documented tool workflow does not state a commercial-use license or ownership terms. Users should review the applicable platform terms, model-provider conditions, and client requirements before monetizing or publishing generated footage.

What model design supports Ray2's natural-looking motion?

Luma states that Ray2 uses a large-scale multimodal architecture and was trained directly on video data. The company links that training approach to natural motion, realistic lighting, and more physically grounded interactions between objects and characters.

What should change if the first clip misses the intended action?

The next prompt should isolate one primary action, replace abstract language with visible behavior, and retain only one dominant camera direction. Subject placement or duration should be changed only when those factors caused the mismatch, allowing each new attempt to test a specific correction.

References

Sources and citations used to support the content provided above.

Updated: 2026-08-02 22:54:55 5 Sources

lumalabs.ai

Source Link
https://lumalabs.ai/ray2

lumalabs.ai

Source Link
https://lumalabs.ai/changelog/introducing-ray2

lumalabs.ai

Source Link
https://lumalabs.ai/learning-hub/dream-machine-how-to-generate-with-ray2

lumalabs.ai

Source Link
https://lumalabs.ai/learning-hub/dream-machine-guide-ray2

lumalabs.ai

Source Link
https://lumalabs.ai/changelog/camera-motion-concepts-launch