Luma Ray 2 Flash T2V
Playground
Try it on WaveSpeedAI!Luma Ray 2 Flash turns text into high-quality videos with flexible sizes and built-in prompt optimization for precise outputs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Luma Ray 2 Flash is a fast and powerful text-to-video generation model from Luma AI that creates stunning videos from text descriptions. Generate high-quality 720p videos with smooth motion, creative styles, and cinematic quality — optimized for speed and efficiency.
Why It Stands Out
- Fast generation: Flash variant optimized for quick video creation.
- HD 720p output: Generate crisp 1280×720 videos with excellent clarity.
- Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
- Creative control: Support for camera and motion parameters directly in prompts.
- Flexible duration: Choose between 5 or 10 second video lengths.
- Style versatility: Handles various styles from photorealistic to pixel art and animation.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video you want to generate. |
| size | No | Output resolution (default: 1280×720). |
| duration | No | Video length: 5 or 10 seconds (default: 5). |
How to Use
- Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
- Select size — choose the resolution that fits your needs.
- Set duration — choose 5 or 10 seconds.
- Click Run and wait for your video to generate.
- Preview and download the result.
Prompt Tips
You can include camera and motion controls directly in your prompt:
- Camera movements: -camera tilt up slowly, -camera pan left, -camera zoom in
- Motion intensity: -motion 1 (subtle) to -motion 5 (dynamic)
Example: “A sunset over mountains, cinematic style -camera tilt up slowly -motion 1”
Best Use Cases
- Social Media Content — Create engaging video clips for TikTok, Reels, and Shorts.
- Creative Animation — Generate stylized content like pixel art, anime, or retro aesthetics.
- Marketing & Advertising — Produce promotional videos and ad creatives quickly.
- Concept Visualization — Rapidly prototype video ideas before full production.
- Game & App Content — Create trailers and promotional materials.
Pricing
| Duration | Price |
|---|---|
| 5 seconds | $0.20 |
| 10 seconds | $0.40 |
Pro Tips for Best Quality
- Be detailed in your prompt — describe subject, action, environment, lighting, and style.
- Use style keywords like “pixel art,” “cinematic,” “anime,” or “retro gaming aesthetic.”
- Include camera controls for more dynamic, professional-looking results.
- Adjust motion intensity based on your scene — use lower values for calm scenes, higher for action.
- Start with 5-second videos to test concepts, then extend to 10 seconds for final versions.
Notes
- Processing time varies based on duration and current queue load.
- Please ensure your prompts comply with content guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"size": "1280*720",
"duration": 5
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/luma/ray-2-flash-t2v" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| size | string | No | 1280*720 | 1280*720, 720*1280 | The size of the generated media in pixels (width*height). |
| duration | integer | No | 5 | 5, 10 | The duration of the generated media in seconds. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |