FLUX.1 [dev] Fill with LoRAs

ᠵᡠᠸᡝᠪᡠᠮᠪᡳ

ᠮᠣᡩᡝᠯ id flux-lora-fill

# 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-lora-fill?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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-lora-fill?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "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://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "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/flux-lora-fill", 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/mnc/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-lora-fill",
  "input": {
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }
}

FLUX.1 [dev] Fill with LoRAs ᠮᠣᠳᡝᠯ (flux-lora-fill) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/flux-lora-fill.md

POST https://vit.doitong.com/api/v1/run/flux-lora-fill?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}

ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠠᠨᠠᠮᡝ "queued" ᡳᠨᡠ "running" ᠪᡝ, GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 ᠪᡝ ᠠᠨᠠᠮᡝ "succeeded" ᠪᡝᠴᡳ ᠠᠰᡠᠮᠪᡳ; ᡶᡳᠯᡝ ᠪᡝ outputs[].url ᠪᡝᠴᡳ ᠣᠨᡩᠣᠮᡝ. POST https://vit.doitong.com/api/v1/quote/flux-lora-fill ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.

ᡝᠨᡳ ᠵᠠᠯᡳᠨ: ≈$0.07 70 API ᠺᠷᡝᡩᡳᠲ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ

API ᡩᠠᠮᡠᠨ ᡤᠠᠯᠠ

Black Forest Labs ᡤᠠᠳᠠᠨ ᠵᠠᠰᡳᠨ #editing#lora

ᠵᡠᠯᡤᠠᠨ ᡩᡝᠪᡝ ᠵᠠᠰᡳᠮᠪᡳ᠂ LoRAs ᠪᠠ ᠵᡠᠯᡤᠠᠨ ᡳ ᡳᠯᡤᠠᠨ ᠵᠠᠰᡳᠮᠪᡳ

OpenAPI Markdown

Black Forest Labs · ᡤᠠᠳᠠᠨ

ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ

ᡝᡵᡝ ᠵᡠᠯᡝᠨ ᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᠠᠶᠠᠨᠠᠮᡝ ᠠᠮᡪᠠᠯᠠ ᡶᡳᠯᡝᠮᡝ ᠪᡝᠶᡝᠮᡝ᠃ API ᠵᡳᡵᡤᠠᡳ ᡤᠠᡳᡥᠠᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠮᡠᠰᡝᡳ ᠰᡠᠯᡠᠨᡩᡝ ᠪᠠᠶᠠᠨᠠᠮᡝ᠂ ᠝ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠶᠠᠨ 7 ᡥᠠᠨ ᠰᠠᡳᠨᠠᠮᡝ᠃

ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ

ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᡝᠨᡝᠩᡤᡳ

ᡩᠠᡳᠯᠠᠮᡝ ᡳ ᠮᠠᠨᠵᡳ

$0.07ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᡩᡝ

70 API ᠺᠷᡝᡩᡳᠲ

ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᡝᠨᡝᠩᡤᡳ᠈ ᠰᡠᠯᡠᠮᡝ ᡠᠯᠠᠮᡝ ᡝᠨᡝᠩᡤᡳ ᠠᠪᠠᠮᡝ

ᠵᠠᠯᠠᠨᠠᠮᡝ · $0.07

ᠮᠠᠩᡤᡳ ᠰᡠᠯᡠᠮᡝ ᡠᠯᠠᠮᡝ ᡝᠨᡝᠩᡤᡳ ᠠᠪᠠᠮᡝ᠈ ᡝᠷᡳᠨ ᠠᡴᡡ ᡤᡳᠰᡠᠨ ᡩᡝ ᠠᠮᡝᠪᡠᠮᡝ ᠠᡵᠠᠮᡝ

num_outputs ᠵᡠᠯᡝ 1

ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᠵᡠᠯᡝᠨᡳ ᠵᡠᠯᡝ ᠠᠷᠠᠰᡠᠨᡳ ᡩᡝ ᠵᠠᠯᠠᠨᡳ ᠠᠪᠠᠮᠪᡳ᠃ ᠵᠠᠯᠠᠨ ᡳᠨᡝ ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᡝᠨᡝᠩᡤᡳ ᠪᠠᡳᠯᠠᠮᠪᡳ

ᠵᠠᠯᡤᠠᠨ ᠵᠠᠯᡳᠨ ᠳᠡ: POST /quote/{id}

ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ

ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ

prompt ᠵᡠᠯᡝ

ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉

image •ᡴᠠᠷᠠᡴᡡ image_url

ᠪᡠᠮᠪᡳ ᡝᠮᡠ ᡩᠠᡵᠠᠮᡝ

ᡶᡳᠯᡥᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL.

mask •ᡴᠠᠷᠠᡴᡡ mask_url

ᠪᡠᠮᠪᡳ ᡝᠮᡠ ᡩᠠᡵᠠᠮᡝ

ᠮᡠᠩᡤᠠᠨ ᡩ᠝ ᡳᠯᡝᠨ ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᡥᠠᠨ.

image_size

ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᡤᡳᡵᠠᠨ.

num_outputs num_images ᠵᡠᠯᡝ 1

ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠯᡥᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᡠᠰᡠ; ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᡤᠠᠯᡥᠠ 1.

ᠵᡠᠯᡤᡝ ᠵᡝᡵᡤᡳ output_format · acceleration · num_inference_steps · guidance_scale · seed · enable_safety_checker · paste_back · resize_to_original · loras · fill_image

output_format ᠵᡠᠯᡝ jpeg

ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᠵᡠᠰᡝ᠉

acceleration ᠵᡠᠯᡝ none

ᡤᠠᠳᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᡝᠯᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ. 'regular' ᠪᡝ ᡤᡝᠯᡳᠯᡝᠮᡝ ᠠᡳ ᡠᠵᡠᠯᡝᠨ ᡳ ᠵᠠᠮᡝ ᠰᠣᠨᡩᠣᠮᡝ.

num_inference_steps ᠵᡠᠯᡝ 28

ᠶᠠᠪᡠᠯᠠᡵᠠ ᡠᠯᡥᡳᠰᡠ ᠪᠣᡩᠣᡵᠣ ᠠᠯᡥᠠ ᡳ ᡨᠣᠨ.

guidance_scale ᠵᡠᠯᡝ 30

ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠤᠯᠠᡥᠠᠨ, CFG (Classifier Free Guidance) ᡩᡝ ᠵᡠᠯᡝᠮᡝ.

seed

ᡳᠨᠠᠩᡤᠠ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠶᠠᠩᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡝᠮᡠ ᡝᠨᡝᠩᡤᡳ ᡥᡡᠯᠠᠨ ᡳ ᠰᡝᠮᡝ ᡳᠨᡠ ᡝᠮᡠ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝ, ᠮᠣᠳᡝᠯᡳ ᡥᡡᠯᠠᠨ ᡳ ᡝᠮᡠ ᠵᠠᠩ ᠪᠠᠶᠠᠨ ᠪᡠᠮᡝ.

loras ᠵᡠᠯᡝ []

ᠪᡠᠶᡝᠮᡝ ᠠᠩᡤᠠᠨ ᡳ ᠪᡝᠶᡝᠨ ᠵᠠᠰᠠᡥᠠ LoRA; ᠵᡠᠯᡝ ᠣᠮᡳᠰᡳᠨ.

fill_image

ᠮᡠᠩᡤᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠵᠠᡥᠠᠨ ᡩ᠝ ᠠᠰᡥᠠᠨ.

POST /run/flux-lora-fill?wait=20 ᠵᠠᠯᡳᠨ → $0.07

# 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-lora-fill?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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-lora-fill?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "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://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "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/flux-lora-fill", 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-lora-fill",
      "input": {
        "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "wait_seconds": 20
    }
  }
}

ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ

API ᠵᠠᠯᠠᠨ

ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ ᡝᡵᡤᡝᠨ ᡩᡝ ᡳᠨᡠ ᠠᡶᡠᠯᠠᠮᠪᡳ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ

FLUX.1 [dev] Fill with LoRAs ᡠᡵᡝᠮᡝ

`image_url` ᡳ ᡤᡝᠯᡳ `mask_url` ᡩᠠᠮᡠ ᠵᡠᠯᡤᠠᠨ ᡩᡝᠪᡝ ᠵᠠᠰᡳᠮᠪᡳ᠂ `prompt` ᠪᠠ `loras` ᠠᠪᠠᠮᠪᡳ᠃ `fill_image` ᠵᡠᠯᡤᠠᠨ ᡩᡝ ᡳᠯᡤᠠᠨ ᠵᠠᠯᡳᠨ ᠪᠠᡳᠮᠪᡳ᠃ `paste_back` ᡩᠠᠯᡳᠨ ᡩᡝᠪᡝ ᠠᠩᡤᠠ ᠪᠠᡳᠮᠪᡳ᠂ `resize_to_original` ᠠᠩᡤᠠ ᠵᠠᠯᡳᠨ ᠪᠠᡳᠮᠪᡳ᠃ `guidance_scale` 28 ᡩᡝᡵᡳ 35᠂ 1 ᡩᡝᡵᡳ 4 ᡳᠯᡤᠠᠨ ᠠᠪᠠᠮᠪᡳ᠃

ᠵᠠᡴᡠᠨ

ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ

ᠵᡝᡵᡤᡳᡠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝᠠᠪᠠᠮᡝ ᠵᠠᠪᡠᠨ ᠵᠠᠯᠠᠨᡳ ᡤᡳᠰᡠᠨ

promptᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝstring

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ

ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉

image_sizeᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝobject

square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9

ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᡤᡳᡵᠠᠨ.

num_inference_stepsᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝinteger

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ28

1 – 50

ᠶᠠᠪᡠᠯᠠᡵᠠ ᡠᠯᡥᡳᠰᡠ ᠪᠣᡩᠣᡵᠣ ᠠᠯᡥᠠ ᡳ ᡨᠣᠨ.

seedᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝinteger | null

lorasᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝobject[]

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]

ᠪᡠᠶᡝᠮᡝ ᠠᠩᡤᠠᠨ ᡳ ᠪᡝᠶᡝᠨ ᠵᠠᠰᠠᡥᠠ LoRA; ᠵᡠᠯᡝ ᠣᠮᡳᠰᡳᠨ.

loras[].pathᡴᠠᠷᠠᡴᡡ

ᡠᠯᠠᠮᡝstring

LoRA ᡳ ᡥᡡᠨᡩᡠᠨ ᡳ ᠪᠠ ᠪᡝ URL ᡝᠪᡨᡝᠯᡳ ᠵᡠᡤᡡᠨ ᠣᠪᡠᠮᡝ ᡨᠣᡴᡨᠣᠪᡠᡵᡝ᠈

loras[].scaleᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝnumber

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1

0 – 4

LoRA ᡳ ᡥᡡᠨᡩᡠᠨ ᠪᡝ ᡩᠠ ᠮᠣᠳᡝᠯ ᡩᡝ ᠠᠴᠠᠪᡠᡵᡝ ᠣᠩᡤᠣᠯᠣ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ ᡩᠠᡥᡳᠨ᠈

guidance_scaleᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝnumber

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ30

28 – 35

ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠤᠯᠠᡥᠠᠨ, CFG (Classifier Free Guidance) ᡩᡝ ᠵᡠᠯᡝᠮᡝ.

num_imagesᠵᡠᠯᡝ num_outputs

ᡠᠯᠠᠮᡝinteger

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1

1 – 4

ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠯᡥᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᡠᠰᡠ; ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᡤᠠᠯᡥᠠ 1.

enable_safety_checkerᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝboolean

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝtrue

ᠠᠮᡤᠠᠨᡳ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ; ᠠᠮᡤᠠᠨ ᠪᡝ ᡠᠵᡠᠯᠠᠮᡝ ᡤᠠᠳᠠᠨ ᠪᡝ ᡴᠠᡵᠠ ᠪᡠᠶᡝᠮᡝᠮᠪᡳ᠉ true ᠪᡝ ᡠᠵᡠᠯᠠᠮᡝᠨᡳ ᡩᠠᠯᡳᠨ; false ᠪᡝ ᡩᠠᠯᡳᠨ ᠠᡴᡠᠯᠠᠮᠪᡳ᠂ ᠵᡠᠯᡝ ᠵᡠᠯᡝᠨᡳ ᠪᡝ ᠠᡴᡠᠯᠠᠮᠪᡳ᠉

output_formatᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝenum

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝjpeg

jpegpng

ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᠵᡠᠰᡝ᠉

accelerationᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝenum

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝnone

noneregular

ᡤᠠᠳᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᡝᠯᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ. 'regular' ᠪᡝ ᡤᡝᠯᡳᠯᡝᠮᡝ ᠠᡳ ᡠᠵᡠᠯᡝᠨ ᡳ ᠵᠠᠮᡝ ᠰᠣᠨᡩᠣᠮᡝ.

image_urlᡴᠠᠷᠠᡴᡡ image

ᡠᠯᠠᠮᡝurl · image

ᡶᡳᠯᡥᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL.

mask_urlᡴᠠᠷᠠᡴᡡ mask

ᡠᠯᠠᠮᡝurl · image

ᠮᡠᠩᡤᠠᠨ ᡩ᠝ ᡳᠯᡝᠨ ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᡥᠠᠨ.

paste_backᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝboolean

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝtrue

ᠵᠠᠯᠠᠨ ᠪᡳᠮᡝ ᡳᠯᡝᠨ ᡩᠠ ᡩᡝ ᠪᡳ ᠵᡠᠯᡝ ᡩᠠᠯᡵᡳᠮᡝ ᠪᡠᠶᡝᠮᡝ.

fill_imageᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝobject

ᠮᡠᠩᡤᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠵᠠᡥᠠᠨ ᡩ᠝ ᠠᠰᡥᠠᠨ.

fill_image.fill_image_urlᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝurl[] · image

ᠵᠠᠯᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL; ᠵᠠᡥᠠᠨ ᠮᡠᠩᡤᠠᠨ ᡩ᠝ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ.

fill_image.in_context_fillᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝboolean

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝfalse

ᠪᡠᡥᡝ ᡶᡳᠯᡥᠠᠨ ᡳ ᠠᠰᡥᠠᠨ ᠩᡤᠠᠨ ᡤᠠᠳᠠᠨ ᡩ᠝ ᠮᠠᠨᠵᡳᠮᡝ ᠵᠠᠯᠠᠨ ᠵᠠᠰᡥᠠᠨ.

fill_image.use_promptᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝboolean

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝfalse

ᡤᠠᠯᡤᠠᠨ ᡥᡡᠯᠠᠨ ᠪᡝ redux ᡤᠠᠳᠠᠨ ᠠᠮᠠᠯᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡩ᠝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠨᡝᠮᡝᠮᡝ ᠪᡠᠮᡝ.

resize_to_originalᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝboolean

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝfalse

ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠩᡤᡝ ᡤᠠᠳᠠᠨ ᡳ ᡝᠰᡝ ᠵᠠᠯᠠᠨ ᠢ ᡴᠠᠯᡳᠮᡝ ᠪᡠᠮᠪᡳ ᠵᡠᠯᡝᠮᡝ ᠠᠰᡠᡥᠠᡳ ᡳᠨᡠ ᠪᡠᠮᠪᡳ。

ᡴᠠᠷᠠᡴᡡ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ᠈ ᠮᡠᠰᡝ ᡝᠮᡠ ᠠᠪᠠᠮᠪᡳ

ᠪᡠᠮᠪᡳᠯᡝᠰᡝ ᡝᠮᡠ ᡤᡝᠮᡠᠨᡳ https:// URL᠈ 10 MB ᡩᡝ ᡩᡝᠷᡤᡳ data: URI ᠵᡝᡵᡤᡳ ᡝᠮᡝ᠈ ᡳᠨᡝ ᠪᡠᠮᠪᡳᠯᡝᠰᡝᠨᡳ file_url ᠠᠪᠠᠮᠪᡳ ᠪᡠᠮᠪᡳ

ᠪᡠᠶᡝᠮᡝ

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "flux-lora-fill",
  "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": 70,
    "usd": "0.07",
    "charged": 70,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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"
  }
}

ᡤᡝᠯᡝᠮᡝ ᡥᡡᠯᡤᡠᠨᡳ ᡳᠨᡠᡝᠯᡝᡥᡝ outputs[].url ᠰᡠᠯᡠᠨ ᡩᡝ ᠰᡳᡵᡝ ᡶᡳᠯᡝ᠈ ᠝ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠪᠠᠯᡳ ᠵᡝᠮᡤᡳᠨ GB-ᠪᡳᠶᠠ ᠵᡝᠮᡤᡳᠨ ᠪᡝ ᡝᠮᡠᠯᡝᠮᡝ ᠠᠪᠠᠯᡳ 7 ᡥᠠᠨ ᠰᡳᠯᡤᠠᠨ ᡩᡝ᠈ ᠰᡳᠨᡳ ᠪᠠᠯᠠᠨᠰᡳ ᠵᡠᠶᡝᡵᡝᠨ ᠠᠪᠠᠯᡳ ?storage= ᡩᡝ ᡝᠵᡝᠨ ᡥᠠᠯᠠᠮᡝ᠉

ᡝᠮᡠ ᡤᡳᠰᡠᠨ ᡝᠮᡠ ᠮᠣᡩᡝᠯ ᡩᡝtype, url, content_type, width, height ᠮᠠᠩᡤᡳ duration᠈ ᠵᠠᠯᠠᠨ᠈ ᠪᡠᠵᡠᠮᠪᡳ ᠮᠠᠩᡤᡳ ᠵᡝᡵᡤᡳ ᡩᡝᠨᡳ᠈ output ᠮᠣᡩᡝᠯᡳᠨᡳ ᡝᠮᡠ ᠵᠠᠯᠠᠨ

ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ

images: array of object {url, width, height, content_type}ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨᡳ ᡶᡳᠯᡝ ᡩᠠᠮᡠ.
timings: object
seed: integerᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡝᠨᡩᡝᠨᡳ ᠵᠠᠯᡳᠨ; ᡳᠨᡠ ᠪᡳᠰᡳᡵᡝᠨ ᠪᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠉
has_nsfw_concepts: array of booleanᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᠤᠨᠠᠰᡳᠨ ᠩᡝᠮᡝ ᠪᡳ ᠰᡝᠮᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠉
prompt: stringᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉

AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/flux-lora-fill.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt

ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ

ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ

ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ

FLUX.1 [dev] Fill with LoRAs ᡠᡵᡝᠮᡝ

ᠵᠠᡴᡠᠨ

ᠪᡠᠶᡝᠮᡝ

ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡤᠠᠳᠠᠨ ᠵᠠᠰᡳᠨ

FLUX.1 Kontext [pro] ᡠᠯᡤᡳᠨ: 7

GPT Image 2.5 Edit ᡠᠯᡤᡳᠨ: 4

Nano Banana 2 Edit ᡠᠯᡤᡳᠨ: 2

Nano Banana Pro Edit ᡠᠯᡤᡳᠨ: 2