Fibo Edit [Structured Instruction]
Integriruj
bria/fibo-edit/edit/structured_instruction
# 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/bria/fibo-edit/edit/structured_instruction?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/fibo-edit/edit/structured_instruction?wait=20", {
method: "POST",
headers,
body: JSON.stringify({}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/fibo-edit/edit/structured_instruction", 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/rom/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": "bria/fibo-edit/edit/structured_instruction",
"input": {}
}
Kall o Fibo Edit [Structured Instruction] modelo (bria/fibo-edit/edit/structured_instruction) vas o Doitong API. Dokumentacia vaš agentura: https://doitong.com/rom/developers/models/bria/fibo-edit/edit/structured_instruction.md
POST https://api.doitong.com/v1/run/bria/fibo-edit/edit/structured_instruction?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{}
Te o response status si "queued" vaj "running", ker polling GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 dži kaj te avel "succeeded"; e fajlo si andro outputs[].url. POST https://api.doitong.com/v1/quote/bria/fibo-edit/edit/structured_instruction sa jekhe body-esa del o precizno molipen angl-o phiripen.
Kava mangipen: $0.01 10 API krediti Phir les kate
Tiro nevo API klidin. Dikhavel pes akana numa thaj si angleder ando kodo thaj ando API klidin kotor tele. Garav les: na thovel les ande kodo savo keren andre jekh browser.
Tiro prvo rezultato si kate
Ker tele jekh mangipen thaj phir les tire API klidinosa. E rezultatur si kopirime amare arakhipneste, vično vaj 7 dives bilačhes.
Ker jekh mangipen
O kontrolura kerde si katar e schemaske. O kodo thaj e cena menjinen sar tu len menjines.
/run/bria/fibo-edit/edit/structured_instruction?wait=20
hesab → $0.01
# 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/bria/fibo-edit/edit/structured_instruction?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/fibo-edit/edit/structured_instruction?wait=20", {
method: "POST",
headers,
body: JSON.stringify({}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/fibo-edit/edit/structured_instruction", 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": "bria/fibo-edit/edit/structured_instruction",
"input": {},
"wait_seconds": 20
}
}
}
Phandel kava mangipen
Tiro kluč ačhel kadale browsereste: bičhalel pes numa ko Doitong API thaj šuvav pes (localStorage) numa te tiknes Remember. Le jekh API ključ
Palal Fibo Edit [Structured Instruction]
Generirinel numa strukturalno instrukcija vaš edit, na kipo. Inputo si opcionalno `image_url`, `mask_url`, `instruction` thaj `seed`. O JSON rezultato anel fieldura sar objektura, svetloba, estetika, palutno, fotografijake karakteristika thaj teksto vaš render.
Parametra
Bičhalav vaj e kanonikano nav vaj e native nav, na duj. Kanonikane nava
image_urlopcionalno
image
mask_urlopcionalno
mask
instructionopcionalno
seedopcionalno
Fajloske parametra lel jekh publikano https:// URL, jekh data: URI dži 10 MB, vaj e file_url uploadoski. Fajlura
Rezultato
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bria/fibo-edit/edit/structured_instruction",
"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": 10,
"usd": "0.01",
"charged": 10,
"refunded": 0
},
"input": {},
"output": {
"short_description": "string",
"objects": [
{
"description": "string",
"location": "string",
"relationship": "string",
"relative_size": "string",
"shape_and_color": "string",
"texture": "string",
"appearance_details": "string",
"number_of_objects": 1,
"pose": "string",
"expression": "string",
"clothing": "string",
"action": "string",
"gender": "string",
"skin_tone_and_texture": "string",
"orientation": "string"
}
],
"background_setting": "string",
"lighting": {
"conditions": "string",
"direction": "string",
"shadows": "string"
},
"aesthetics": {
"composition": "string",
"color_scheme": "string",
"mood_atmosphere": "string",
"preference_score": "string",
"aesthetic_score": "string"
},
"photographic_characteristics": {
"depth_of_field": "string",
"focus": "string",
"camera_angle": "string",
"lens_focal_length": "string"
},
"style_medium": "string",
"text_render": [],
"context": "string",
"artistic_style": "string",
"edit_instruction": "string"
},
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Outputoske fieldura
- short_description
- string | nullCikno lil e planome rezultatoske kiposko.
- objects
- array of object {description, location, relationship, relative_size, shape_and_color, texture, appearance_details, number_of_objects, pose, expression, clothing, action, gender, skin_tone_and_texture, orientation} | nullSikav e kerde kiposko sadržaj sar lista, zapisindoj sakone objekteske atributura thaj leski relacija le aver sikavde objekturenca.
- background_setting
- string | nullPozadinosko than vaš o kerdo kipo.
- lighting
- object {conditions, direction, shadows} | nullSvetlipa vaš o kerdo kipo.
- aesthetics
- object {composition, color_scheme, mood_atmosphere, preference_score, aesthetic_score} | nullEstetikane kvaliteta vaš o kerdo kipo.
- photographic_characteristics
- object {depth_of_field, focus, camera_angle, lens_focal_length} | nullFotografijake svojstva vaš o kerdo kipo.
- style_medium
- string | nullStilistiko medium vaš o kerdo kipo.
- text_render
- array of any | nullLista tekstoskere vstavkengo save te aven ando kipo.
- context
- string | nullKonteksto vaš o kerdo kipo.
- artistic_style
- string | nullArtistikano stilo vaš o kerdo kipo.
- edit_instruction
- string | nullInstrukcija savo sikavel sar te editirinel o kipo.
Aver variantura e Fibo Edit
Bute modeli: LLM
AI agentenge: kadija rig sar Markdown si kate https://doitong.com/rom/developers/models/bria/fibo-edit/edit/structured_instruction.md. Sa e modelura thaj e gidura: https://doitong.com/developers/llms.txt