
Dim paru. Rhowch gynnig ar “video”, “FLUX” neu “webhooks”.
Llwytho modelau…
flux/dev
# 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/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://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/dev?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/cy/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": "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
}
}
Galwch y model FLUX.1 [dev] (flux/dev) drwy Doitong API. Dogfennaeth ar gyfer asiantau: https://doitong.com/cy/developers/models/flux/dev.md
POST https://api.doitong.com/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
}
Os yw statws yr ymateb yn "queued" neu "running", holwch GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 nes ei fod yn "succeeded"; mae'r ffeiliau yn outputs[].url. Mae POST https://api.doitong.com/v1/quote/flux/dev gyda'r un corff yn dychwelyd yr union bris cyn y rhediad.
Y cais hwn: $0.025 25 o gredydau API Ei redeg ar y dudalen hon
Eich allwedd API newydd. Dim ond nawr y caiff ei ddangos ac mae eisoes yn y cod ac ym maes allwedd API isod. Cadwch ef yn gyfrinachol: peidiwch byth â’i roi mewn cod sy’n rhedeg mewn porwr.
Cynhyrchir rheolyddion o sgema'r model. Mae'r cod a'r pris yn diweddaru wrth i chi eu newid.
/run/flux/dev?wait=20
dyfynbris → $0.025
# 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/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://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/dev?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A lighthouse keeper's cottage on a windswept cliff at blue hour, warm light glowing from small square windows, waves breaking far below, long-exposure sea mist, moody cinematic landscape photograph, 35mm, rich detail.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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
}
}
}
Mae'ch allwedd yn aros yn y porwr hwn: caiff ei hanfon at Doitong API yn unig a'i chadw (localStorage) dim ond os ticiwch Cofio. Cael allwedd API
Gwaith cyhoeddus a wnaed gyda FLUX.1 gan gymuned Doitong. Ailddefnyddiwch anogwr mewn un clic.
Close-up portrait seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Close-up portrait seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Prompt Details Seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi wajahnya. Ia memeluk...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
Foto sinematik hiper-realistis resolusi tinggi menampilkan seorang pria muda Indonesia dengan tubuh ramping dan proporsional, rambut hitam pendek agak acak, mengenakan jaket kulit hitam, celana riding fit, dan sepatu motor. Ia sedang melakukan aksi freestyle ekstrem dengan motor sport 500cc...
Foto sinematik hiper-realistis resolusi tinggi menampilkan seorang pria muda Indonesia dengan tubuh ramping dan proporsional, rambut hitam pendek agak acak, mengenakan jaket kulit hitam dan celana riding fit. Ia sedang bersiap melakukan freestyle menggunakan motor sport 500cc berwarna merah,...
Model FLUX 12-biliwn-paramedr wedi’i ddistyllu gydag amserlen samplu lawn (28 cam yn rhagosodedig, y gellir ei addasu o 1 i 50) a graddfa arweiniad addasadwy. Mae’n dilyn anogiadau manwl ac yn rendro dwylo, wynebau a thestun byr yn amlwg yn well na’r amrywiad schnell am bris uwch. Meintiau rhagosodedig neu bersonol, hyd at bedair delwedd fesul cais, allbwn JPEG neu PNG.
Anfonwch naill ai'r enw canonaidd neu'r enw brodorol, nid y ddau. Enwau canonaidd
promptgofynnol
image_sizedewisol
num_inference_stepsdewisol
seeddewisol
guidance_scaledewisol
num_imagesdewisol
num_outputs
output_formatdewisol
accelerationdewisol
{
"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://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Ar gyfer asiantau AI: mae'r dudalen hon fel Markdown ar gael yn https://doitong.com/cy/developers/models/flux/dev.md. Pob model a chanllaw: https://doitong.com/developers/llms.txt