Luma Ray 3.2 Reframe
אינטעגרירן
luma/agent/ray/v3.2/reframe
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/luma/agent/ray/v3.2/reframe?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/luma/agent/ray/v3.2/reframe?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/luma/agent/ray/v3.2/reframe", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/yi/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "luma/agent/ray/v3.2/reframe",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
}
}
רופֿט דעם Luma Ray 3.2 Reframe מאָדעל (luma/agent/ray/v3.2/reframe) דורך דער Doitong API. דאָקומענטאַציע פֿאַר אַגענטס: https://doitong.com/yi/developers/models/luma/agent/ray/v3.2/reframe.md
POST https://api.doitong.com/v1/run/luma/agent/ray/v3.2/reframe?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
}
אויב דער ענטפֿער־סטאַטוס איז "queued" אָדער "running", פֿרעגט מיט GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 ביז ער איז "succeeded"; די פֿײַלן זענען אין outputs[].url. POST https://api.doitong.com/v1/quote/luma/agent/ray/v3.2/reframe מיט דעם זעלבן גוף גיט צוריק די גענויע פּרײַז איידערן לויפֿן.
פֿײַלן ווי דער בײַשפּיל: $ 0.60 600 API־קרעדיטן אײַערע פֿײַלן ווערן געמאסטן איידערן לויפֿן לויפֿן עס אויף דער דאָזיקער בלאַט
אײַער נײַער API שליסל. עס ווערט געוויזן בלויז איצט און איז שוין אין דעם קאָד און אין דעם API שליסל־פעלד אונטן. האַלט עס געהיים: לייג עס קיינמאָל נישט אַרײַן אין קאָד וואָס לויפֿט אין אַ בלעטערער.
דאָ קומט אײַער ערשטער רעזולטאַט
בויט אונטן אַ בקשה און לויפט זי מיט אײַער API שליסל. רעזולטאַטן ווערן קאַפּירט צו אונדזער סטאָרידזש, געהאַלטן אויף אייביק אָדער 7 טעג אומזיסט.
בויען אַ בעטן
קאָנטראָלן ווערן דזשענערירט פֿון דעם מאָדעל־סכעמע. דער קאָד און דער פּרײַז דערהײַנטיקן זיך ווען איר ענדערט זיי.
/run/luma/agent/ray/v3.2/reframe?wait=20
פּרײַז → $ 0.60
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/luma/agent/ray/v3.2/reframe?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/luma/agent/ray/v3.2/reframe?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/luma/agent/ray/v3.2/reframe", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "luma/agent/ray/v3.2/reframe",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
},
"wait_seconds": 20
}
}
}
לויפֿן דעם ריקוועסט
אײַער key בלײַבט אין דעם בלעטערער: זי ווערט געשיקט נאָר צום Doitong API און אָפּגעהיט (localStorage) נאָר אויב איר טיקט אָן געדענקען. באַקומען אַן API שליסל
וועגן Luma Ray 3.2 Reframe
נעמט אַ `video_url` (10 סעקונדעס אָדער ווייניקער), אַ ציל־`aspect_ratio` און אַ `prompt` וואָס באַשרײַבט וואָס צו מאָלן אין דעם נײַ־אויפֿגעדעקטן שטח. אַספּעקט־ראַטיאָס גיין פֿון 3:4 ביז 21:9, און `resolution` איז 540p, 720p אָדער 1080p. `duration` איז לויטן נאָרמאַל די מקור־לענג און קען זײַן 5s אָדער 10s. `source_position` שטעלט דעם אָריגינעלן פֿוטידזש אינעווייניק אין דעם נײַעם קאַנוואַס.
פּאַראַמעטערס
שיקט אָדער דעם קאַנאָנישן נאָמען אָדער דעם נאַטיוון נאָמען, נישט ביידע. קאַנאָנישע נעמען
promptפארלאנגט
video_urlפארלאנגט
video
aspect_ratioפארלאנגט
resolutionאָפּציאָנעל
durationאָפּציאָנעל
source_positionאָפּציאָנעל
source_position.x_normפארלאנגט
source_position.y_normפארלאנגט
source_position.w_normפארלאנגט
source_position.h_normפארלאנגט
enable_safety_checkerאָפּציאָנעל
טעקע־פּאַראַמעטערס נעמען אַן עפֿנטלעכע https:// URL, אַ data: URI ביז 10 MB, אָדער דעם file_url פֿון אַן אַרויפֿלאָד. טעקעס
אויסגאַבע
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "luma/agent/ray/v3.2/reframe",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 600,
"usd": "0.60",
"charged": 600,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"aspect_ratio": "3:4"
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200
},
"exr_file": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200
}
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
פֿעלדער פֿון דער אויסגאַבע
- video
- object {url, content_type, file_name, file_size}ווידעא געשאַפֿן דורכן מאָדעל.
- exr_file
- object {url, content_type, file_name, file_size} | nullEXR סיידקאַר אין דעם פֿאָרעם וואָס Luma עקספּאָרטירט: אָדער איין EXR פֿײַל אָדער אַ ZIP אַרכיוו. ער ווערט גענערירט ווען exr_export איז true.
אַנדערע Luma Ray 3.2 וואַריאַנטן
מער מאָדעלן: ווידעא צו ווידעא
פֿאַר AI־אַגענטן: דער בלאַט ווי Markdown געפֿינט זיך בײַ https://doitong.com/yi/developers/models/luma/agent/ray/v3.2/reframe.md. אַלע מאָדעלן און גוידעס: https://doitong.com/developers/llms.txt