Omnilottie · Image to Lottie
אינטעגרירן
omnilottie/image-to-lottie
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/omnilottie/image-to-lottie?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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/omnilottie/image-to-lottie?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/omnilottie/image-to-lottie", 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.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "omnilottie/image-to-lottie",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
רופֿט דעם Omnilottie · Image to Lottie מאָדעל (omnilottie/image-to-lottie) דורך דער Doitong API. דאָקומענטאַציע פֿאַר אַגענטס: https://doitong.com/yi/developers/models/omnilottie/image-to-lottie.md
POST https://api.doitong.ru/v1/run/omnilottie/image-to-lottie?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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
אויב דער ענטפֿער־סטאַטוס איז "queued" אָדער "running", פֿרעגט מיט GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ביז ער איז "succeeded"; די פֿײַלן זענען אין outputs[].url. POST https://api.doitong.ru/v1/quote/omnilottie/image-to-lottie מיט דעם זעלבן גוף גיט צוריק די גענויע פּרײַז איידערן לויפֿן.
דער דאָזיקער ריקוועסט: $ 0.10 100 API־קרעדיטן · ≈ ₽ 10.76 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/omnilottie/image-to-lottie?wait=20
פּרײַז → $ 0.10
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/omnilottie/image-to-lottie?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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/omnilottie/image-to-lottie?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/omnilottie/image-to-lottie", 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": "omnilottie/image-to-lottie",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"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 Omnilottie · Image to Lottie
נעמט אַ רעפֿערענץ־בילד דורך `image_url` און אַ `prompt` מיט ביז 2,000 צייכנס, וואָס באַשרײַבט די געוואונטשענע באַוועגונג, און שאַפֿט אַ Lottie אַנימאַציע ווי אַ JSON טעקע. די לענג פֿון דער רעזולטאַט ווערט באַגרענעצט דורך `max_tokens` (256 ביז 8192), און די סאַמפּלינג ווערט צוגעפּאַסט מיט `temperature`, `top_p` און `top_k`.
פּאַראַמעטערס
שיקט אָדער דעם קאַנאָנישן נאָמען אָדער דעם נאַטיוון נאָמען, נישט ביידע. קאַנאָנישע נעמען
promptפארלאנגט
image_urlפארלאנגט
image
max_tokensאָפּציאָנעל
temperatureאָפּציאָנעל
top_pאָפּציאָנעל
top_kאָפּציאָנעל
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": "omnilottie/image-to-lottie",
"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": 100,
"usd": "0.10",
"charged": 100,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"output": {
"lottie_file": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
},
"outputs": [
{
"type": "file",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
פֿעלדער פֿון דער אויסגאַבע
- lottie_file
- object {url, content_type, file_name, file_size}JSON פֿײַל מיט דער גענערירטער Lottie אַנימאַציע.
אַנדערע Omnilottie וואַריאַנטן
מער מאָדעלן: אַנדערע
פֿאַר AI־אַגענטן: דער בלאַט ווי Markdown געפֿינט זיך בײַ https://doitong.com/yi/developers/models/omnilottie/image-to-lottie.md. אַלע מאָדעלן און גוידעס: https://doitong.com/developers/llms.txt