Luma Ray flash 2 (720p) Serverless API
Generate stunning 720p videos from text with the Luma ray-flash-2-720p model. Faster & cheaper than Ray 2, offering realistic motion & detail.
POST /v2/ray-flash-2-720p · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "loop": False,
11 "prompt": "a young boy riding a red bicycle in grand canyon valleys",
12 "duration": "5",
13 "aspect_ratio": "16:9",
14}
15job = client.submit_async("ray-flash-2-720p", **payload)
16print(job.request_id) # available immediately
17try:
18 result = job.wait(timeout=900, interval=2.0)
19 print(result["status"]) # COMPLETED
20 print(result.get("output")) # model output (e.g. video URL)
21except InferenceTimeout as e:
22 print("still running:", e.request_id) # re-poll later with this id
23except InferenceFailed as e:
24 print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("ray-flash-2-720p", **payload) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "loop": False,
11 "prompt": "a young boy riding a red bicycle in grand canyon valleys",
12 "duration": "5",
13 "aspect_ratio": "16:9",
14}
15job = client.submit_async("ray-flash-2-720p", **payload)
16print(job.request_id) # available immediately
17try:
18 result = job.wait(timeout=900, interval=2.0)
19 print(result["status"]) # COMPLETED
20 print(result.get("output")) # model output (e.g. video URL)
21except InferenceTimeout as e:
22 print("still running:", e.request_id) # re-poll later with this id
23except InferenceFailed as e:
24 print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("ray-flash-2-720p", **payload)API Endpoint
https://api.segmind.com/v1/ray-flash-2-720pParameters
promptrequiredstringText prompt for video generation
"a young boy riding a red bicycle in grand canyon valleys"aspect_ratiooptionalstringAspect ratio of the video.
"16:9""1:1""3:4""4:3""9:16""16:9""9:21""21:9"durationoptionalintegerDuration of the output.
559end_image_urloptionalstring (uri)URL of an image to use as the ending frame
nullloopoptionalbooleanWhether the video should loop, with the last frame matching the first frame for smooth, continuous playback.
falsestart_image_urloptionalstring (uri)URL of an image to use as the starting frame
nullResponse Type
Returns: Video
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/ray-flash-2-720pSubmit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out