
ਕੋਈ ਮੇਲ ਨਹੀਂ ਮਿਲਿਆ। “video”, “FLUX” ਜਾਂ “webhooks” ਅਜ਼ਮਾਓ।
ਮਾਡਲ ਲੋਡ ਕੀਤੇ ਜਾ ਰਹੇ ਹਨ…
flux/dev
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/flux/dev?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A lighthouse keeper'\''s cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/dev?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux/dev", 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/pa/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "flux/dev",
"input": {
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}
}
Doitong API ਰਾਹੀਂ FLUX.1 [dev] ਮਾਡਲ (flux/dev) ਨੂੰ ਕਾਲ ਕਰੋ। ਏਜੰਟਾਂ ਲਈ ਦਸਤਾਵੇਜ਼: https://doitong.com/pa/developers/models/flux/dev.md
POST https://vit.doitong.com/api/v1/run/flux/dev?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}
ਜੇ ਜਵਾਬ ਦੀ ਸਥਿਤੀ "queued" ਜਾਂ "running" ਹੈ, ਤਾਂ GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 ਨੂੰ ਉਦੋਂ ਤੱਕ ਪੋਲ ਕਰੋ ਜਦੋਂ ਤੱਕ ਇਹ "succeeded" ਨਾ ਹੋ ਜਾਵੇ; ਫ਼ਾਈਲਾਂ outputs[].url ਵਿੱਚ ਹਨ। ਉਸੇ ਬਾਡੀ ਨਾਲ POST https://vit.doitong.com/api/v1/quote/flux/dev ਚਲਾਉਣ ’ਤੇ ਰਨ ਤੋਂ ਪਹਿਲਾਂ ਸਹੀ ਕੀਮਤ ਮਿਲ ਜਾਂਦੀ ਹੈ।
ਇਹ ਬੇਨਤੀ: $0.025 25 API ਕ੍ਰੈਡਿਟ ਇਸ ਪੰਨੇ ’ਤੇ ਚਲਾਓ
ਤੁਹਾਡੀ ਨਵੀਂ API ਕੁੰਜੀ। ਇਹ ਸਿਰਫ਼ ਹੁਣ ਦਿਖਾਈ ਜਾਂਦੀ ਹੈ ਅਤੇ ਪਹਿਲਾਂ ਹੀ ਕੋਡ ਅਤੇ ਹੇਠਾਂ ਦਿੱਤੇ API ਕੁੰਜੀ ਖੇਤਰ ਵਿੱਚ ਮੌਜੂਦ ਹੈ। ਇਸਨੂੰ ਗੁਪਤ ਰੱਖੋ: ਇਸਨੂੰ ਕਦੇ ਵੀ ਬ੍ਰਾਊਜ਼ਰ ਵਿੱਚ ਚੱਲਣ ਵਾਲੇ ਕੋਡ ਵਿੱਚ ਨਾ ਰੱਖੋ।
ਕੰਟਰੋਲ ਮਾਡਲ ਸਕੀਮਾ ਤੋਂ ਤਿਆਰ ਹੁੰਦੇ ਹਨ। ਤੁਸੀਂ ਬਦਲਾਅ ਕਰਦੇ ਹੀ ਕੋਡ ਅਤੇ ਕੀਮਤ ਅੱਪਡੇਟ ਹੋ ਜਾਂਦੇ ਹਨ।
/run/flux/dev?wait=20
ਕੋਟ → $0.025
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/flux/dev?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A lighthouse keeper'\''s cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/dev?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux/dev", 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": "flux/dev",
"input": {
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
},
"wait_seconds": 20
}
}
}
ਤੁਹਾਡੀ key ਇਸ ਬ੍ਰਾਊਜ਼ਰ ਵਿੱਚ ਰਹਿੰਦੀ ਹੈ: ਇਹ ਸਿਰਫ਼ Doitong API ਨੂੰ ਭੇਜੀ ਜਾਂਦੀ ਹੈ ਅਤੇ ਸਿਰਫ਼ ਤਾਂ ਹੀ (localStorage) ਵਿੱਚ ਸੁਰੱਖਿਅਤ ਹੁੰਦੀ ਹੈ ਜੇ ਤੁਸੀਂ Remember ਚੁਣੋ। API ਕੁੰਜੀ ਪ੍ਰਾਪਤ ਕਰੋ
ਗਾਈਡੈਂਸ-ਡਿਸਟਿਲਡ 12-ਬਿਲੀਅਨ-ਪੈਰਾਮੀਟਰ FLUX ਮਾਡਲ, ਜਿਸ ਵਿੱਚ ਪੂਰਾ ਸੈਂਪਲਿੰਗ ਸ਼ਡਿਊਲ ਹੈ (ਪੂਰਵ-ਨਿਰਧਾਰਤ ਤੌਰ 'ਤੇ 28 ਕਦਮ, 1 ਤੋਂ 50 ਤੱਕ ਬਦਲਣਯੋਗ) ਅਤੇ ਬਦਲਣਯੋਗ ਗਾਈਡੈਂਸ ਸਕੇਲ ਹੈ। ਇਹ ਵਿਸਤ੍ਰਿਤ ਪ੍ਰੌਂਪਟਾਂ ਦੀ ਪਾਲਣਾ ਕਰਦਾ ਹੈ ਅਤੇ schnell ਵੈਰੀਐਂਟ ਨਾਲੋਂ ਹੱਥਾਂ, ਚਿਹਰਿਆਂ ਅਤੇ ਛੋਟੇ ਲਿਖਤ ਨੂੰ ਕਾਫ਼ੀ ਬਿਹਤਰ ਰੈਂਡਰ ਕਰਦਾ ਹੈ, ਹਾਲਾਂਕਿ ਕੀਮਤ ਵੱਧ ਹੈ। ਪ੍ਰੀਸੈੱਟ ਜਾਂ ਕਸਟਮ ਆਕਾਰ, ਪ੍ਰਤੀ ਬੇਨਤੀ ਵੱਧ ਤੋਂ ਵੱਧ ਚਾਰ ਚਿੱਤਰ, JPEG ਜਾਂ PNG ਆਉਟਪੁੱਟ।
ਕੈਨੋਨਿਕਲ ਨਾਮ ਜਾਂ ਨੇਟਿਵ ਨਾਮ ਵਿੱਚੋਂ ਕੋਈ ਇੱਕ ਭੇਜੋ, ਦੋਵੇਂ ਨਹੀਂ। ਕੈਨੋਨਿਕਲ ਨਾਮ
promptਲੋੜੀਂਦਾ
image_sizeਵਿਕਲਪਿਕ
num_inference_stepsਵਿਕਲਪਿਕ
seedਵਿਕਲਪਿਕ
guidance_scaleਵਿਕਲਪਿਕ
num_imagesਵਿਕਲਪਿਕ
num_outputs
output_formatਵਿਕਲਪਿਕ
accelerationਵਿਕਲਪਿਕ
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux/dev",
"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": 25,
"usd": "0.025",
"charged": 25,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field, telephoto lens",
"image_size": "landscape_4_3",
"num_outputs": 1
},
"output": {
"images": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"width": 1024,
"height": 768,
"content_type": "image/jpeg"
}
],
"timings": {},
"seed": 42,
"has_nsfw_concepts": [
false
],
"prompt": "string"
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
AI ਏਜੰਟਾਂ ਲਈ: ਇਹ ਪੰਨਾ Markdown ਵਜੋਂ ਇੱਥੇ ਹੈ https://doitong.com/pa/developers/models/flux/dev.md. ਸਾਰੇ ਮਾਡਲ ਅਤੇ ਗਾਈਡ: https://doitong.com/developers/llms.txt