FLUX.1 Kontext [pro]
Integrasikan
flux-pro/kontext
# 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-pro/kontext?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
}'
# 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 $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-pro/kontext?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-pro/kontext", 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/id/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-pro/kontext",
"input": {
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
}
}
Panggil model FLUX.1 Kontext [pro] (flux-pro/kontext) melalui Doitong API. Dokumentasi untuk agen: https://doitong.com/id/developers/models/flux-pro/kontext.md
POST https://vit.doitong.com/api/v1/run/flux-pro/kontext?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
}
Jika status respons adalah "queued" atau "running", lakukan polling GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 hingga statusnya menjadi "succeeded"; file terdapat di outputs[].url. POST https://vit.doitong.com/api/v1/quote/flux-pro/kontext dengan body yang sama mengembalikan harga pasti sebelum dijalankan.
Permintaan ini: $0,04 40 kredit API Jalankan di halaman ini
Kunci API baru Anda. Ini hanya ditampilkan sekarang dan sudah dimasukkan ke dalam kode serta kolom kunci API di bawah. Simpan secara rahasia: jangan pernah menaruhnya di kode yang berjalan di browser.
Contoh
PromptRestore and colorize this image. Remove any scratches or imperfections.
Buat permintaan
Kontrol dibuat dari skema model. Kode dan harga diperbarui saat Anda mengubahnya.
/run/flux-pro/kontext?wait=20
estimasi harga → $0,04
# 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-pro/kontext?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
}'
# 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 $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-pro/kontext?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-pro/kontext", 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-pro/kontext",
"input": {
"prompt": "Restore and colorize this image. Remove any scratches or imperfections.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_nwh4ychmr6vyovvas0hhcxcx/0-dNCNdO5QkD7jDyRi24Z8s_L3lpa0jm.png"
},
"wait_seconds": 20
}
}
}
Jalankan permintaan ini
Key Anda tetap berada di browser ini: key hanya dikirim ke Doitong API dan disimpan (localStorage) hanya jika Anda mencentang Ingat. Dapatkan kunci API
Tentang FLUX.1 Kontext [pro]
FLUX.1 Kontext mengedit satu gambar input berdasarkan instruksi singkat sambil membiarkan bagian lain gambar tetap utuh, sehingga andal untuk retouching iteratif, variasi produk, dan penggantian teks pada papan tanda. Rasio aspek baru dapat dipaksakan, prompt dapat ditingkatkan, atau seed dapat diperbaiki. Hingga empat hasil per permintaan.
Parameter
Kirim nama kanonis atau nama asli, bukan keduanya. Nama kanonis
promptwajib
seedopsional
guidance_scaleopsional
num_imagesopsional
num_outputs
output_formatopsional
safety_toleranceopsional
enhance_promptopsional
aspect_ratioopsional
image_urlwajib
image
Parameter file menerima URL publik https://, URI data: hingga 10 MB, atau file_url dari unggahan. File
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux-pro/kontext",
"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": 40,
"usd": "0.04",
"charged": 40,
"refunded": 0
},
"input": {
"prompt": "Change the sneaker color to bright red, keep everything else the same",
"image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
},
"output": {
"images": [
{
"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,
"width": 1024,
"height": 768
}
],
"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"
}
}
Field output
- images
- array of object {url, content_type, file_name, file_size, width, height}Informasi file untuk gambar yang dihasilkan.
- timings
- object
- seed
- integerSeed pembuatan gambar, termasuk nilai yang dipilih secara acak jika input tidak menyertakan seed; jika tidak, nilai yang diberikan akan diulang.
- has_nsfw_concepts
- array of booleanMenunjukkan apakah konsep NSFW muncul dalam gambar yang dihasilkan.
- prompt
- stringPrompt yang digunakan selama pembuatan gambar.
Varian FLUX.1 Kontext lainnya
Model lainnya: Pengeditan Gambar
Untuk agen AI: halaman ini dalam Markdown tersedia di https://doitong.com/id/developers/models/flux-pro/kontext.md. Semua model dan panduan: https://doitong.com/developers/llms.txt






