Wan-2.1 First-Last-Frame-to-Video
אינטעגרירן
wan-flf2v
# 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/wan-flf2v?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",
"end_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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-flf2v?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"end_image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"end_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/wan-flf2v", 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": "wan-flf2v",
"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",
"end_image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
רופֿט דעם Wan-2.1 First-Last-Frame-to-Video מאָדעל (wan-flf2v) דורך דער Doitong API. דאָקומענטאַציע פֿאַר אַגענטס: https://doitong.com/yi/developers/models/wan-flf2v.md
POST https://api.doitong.com/v1/run/wan-flf2v?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",
"end_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.com/v1/requests/REQUEST_ID?wait=20 ביז ער איז "succeeded"; די פֿײַלן זענען אין outputs[].url. POST https://api.doitong.com/v1/quote/wan-flf2v מיט דעם זעלבן גוף גיט צוריק די גענויע פּרײַז איידערן לויפֿן.
דער דאָזיקער ריקוועסט: $ 0.40 400 API־קרעדיטן 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.
געמאַכט אויף Doitong
עפֿנטלעכע ווערק געמאַכט מיט Wan 2.1 פֿון דער Doitong קהילה. ניצט אַ פּינטלעך מיט איין קליק.
ווידעא
Create a realistic cinematic UGC-style commercial video, exactly 30 seconds long. The entire scene takes place inside a modern passenger airplane during a daytime flight. Natural smartphone-like cinematography, realistic airplane cabin, authentic passengers, natural lighting, realistic skin...
ווידעא
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בויען אַ בעטן
קאָנטראָלן ווערן דזשענערירט פֿון דעם מאָדעל־סכעמע. דער קאָד און דער פּרײַז דערהײַנטיקן זיך ווען איר ענדערט זיי.
/run/wan-flf2v?wait=20
פּרײַז → $ 0.40
# 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/wan-flf2v?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",
"end_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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-flf2v?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"end_image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"end_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/wan-flf2v", 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": "wan-flf2v",
"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",
"end_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 Wan-2.1 First-Last-Frame-to-Video
שאַפֿט אַ קליפּ וואָס גייט פֿון `start_image_url` צו `end_image_url`, געפֿירט דורך אַ `prompt`. די רעזאָלוציע איז 480p אָדער 720p, און דער אַספּעקט־פֿאַרהעלטעניש auto, 16:9, 9:16 אָדער 1:1. `num_frames` איז 81-100 און `frames_per_second` 5-24. שטיצט אַ `negative_prompt`, `seed`, קאָנטראָלן פֿאַר פֿירונג און סטעפּס, און LoRA־ווייטס דורך `loras`.
פּאַראַמעטערס
שיקט אָדער דעם קאַנאָנישן נאָמען אָדער דעם נאַטיוון נאָמען, נישט ביידע. קאַנאָנישע נעמען
promptפארלאנגט
negative_promptאָפּציאָנעל
start_image_urlפארלאנגט
image
end_image_urlפארלאנגט
end_image
num_framesאָפּציאָנעל
frames_per_secondאָפּציאָנעל
seedאָפּציאָנעל
resolutionאָפּציאָנעל
num_inference_stepsאָפּציאָנעל
guide_scaleאָפּציאָנעל
shiftאָפּציאָנעל
enable_safety_checkerאָפּציאָנעל
enable_prompt_expansionאָפּציאָנעל
accelerationאָפּציאָנעל
aspect_ratioאָפּציאָנעל
lorasאָפּציאָנעל
loras[].pathפארלאנגט
loras[].weight_nameאָפּציאָנעל
loras[].scaleאָפּציאָנעל
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": "wan-flf2v",
"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": 400,
"usd": "0.40",
"charged": 400,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"start_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"end_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"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
},
"seed": 42
},
"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־פֿײַל געשאַפֿן דורך גענערירונג.
- seed
- integerסיד־ווערט וואָס ווערט געווענדט בעת גענערירונג.
אַנדערע Wan 2.1 וואַריאַנטן
מער מאָדעלן: בילד צו ווידעא
פֿאַר AI־אַגענטן: דער בלאַט ווי Markdown געפֿינט זיך בײַ https://doitong.com/yi/developers/models/wan-flf2v.md. אַלע מאָדעלן און גוידעס: https://doitong.com/developers/llms.txt