GPT Image 2 API

ᠵᡠᠸᡝᠪᡠᠮᠪᡳ

ᠮᠣᡩᡝᠯ id openai/gpt-image-2

# 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/openai/gpt-image-2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/openai/gpt-image-2?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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 red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openai/gpt-image-2", 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": "openai/gpt-image-2",
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }
}

GPT Image 2 API ᠮᠣᠳᡝᠯ (openai/gpt-image-2) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/openai/gpt-image-2.md

POST https://vit.doitong.com/api/v1/run/openai/gpt-image-2?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}

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/openai/gpt-image-2 ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.

ᡝᠨᡳ ᠵᠠᠯᡳᠨ: ≈$0.106 106 API ᠺᠷᡝᡩᡳᠲ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ

API ᡩᠠᠮᡠᠨ ᡤᠠᠯᠠ

OpenAI ᡥᡡᠯᠠᠨ ᡩᡝ ᡤᠠᠳᠠᠨ #gpt-image-2#openai#typography#chatgpt-images-2

GPT Image 2 ᡳ ᡥᡡᠯᡥᠠ ᡥᡡᠯᡥᠠᠨ ᡳ ᠰᡠᠯᡝᠮᡝ ᡳᠯᡥᠠᠮᠪᡳ, 3840px ᡳ ᠵᡠᠰᡝ ᡥᡡᠯᡥᠠᠨ ᡩᡝᡵᡳ, ᠵᡠᠰᡝᠨ ᡳ ᡥᡡᠯᡥᠠ ᡩᡝ ᠠᠯᡳᠨ

OpenAPI Markdown

OpenAI · 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

$0.106ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᡩᡝ

106 API ᠺᠷᡝᡩᡳᠲ

ᡝᠮᡠ ᠵᡠᠯᡤᡝ ᡝᠨᡝᠩᡤᡳ᠈ ᠰᡠᠯᡠᠮᡝ ᡠᠯᠠᠮᡝ ᡝᠨᡝᠩᡤᡳ ᠠᠪᠠᠮᡝ

ᠵᠠᠯᠠᠨᠠᠮᡝ · $0.106

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 •ᡴᠠᠷᠠᡴᡡ 88 / 32000

ᠤᠯᡥᠠ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠮᠪᡝ ᡥᡡᠯᠠᠨ.

image_size ᠵᡠᠯᡝ landscape_4_3

ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ `auto` ᠠᠮᡠᡵᡤᠠᠨ ᠠᠮᡠᡵᡤᠠᠨ ᠮᠣᡩᡝᠯ ᡳ ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ; ᠪᡝᠯᡝᠨ ᠵᠠᠯᠠᠨ 16 ᡩᡝ ᠬᡝᠯᡝᠨ ᠪᡳᠮᠪᡳ᠈ 3840px ᡩᡝ ᠠᡵᠠᠨ᠈ ᠵᠠᠯᠠᠨ ᡳ ᠵᡠᠯᡝ 3:1 ᡩᡝ ᠠᡵᠠᠨ᠈ 655,360–8,294,400 ᡤᠠᠳᠠᠨ ᠪᡳᠮᠪᡳ.

num_outputs num_images ᠵᡠᠯᡝ 1

ᡳᠯᡳᠪᡠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠠᠯᡤᠠᠨ.

ᠵᡠᠯᡤᡝ ᠵᡝᡵᡤᡳ background · quality · output_format · enable_safety_checker

background ᠵᡠᠯᡝ auto

ᠪᡠᠶᡝᠮᡝᠮᠪᡝ ᠤᠯᡥᠠ ᡤᠠᠳᠠᠨᡳ ᠵᡠᠯᡤᡝ.

quality ᠵᡠᠯᡝ high

ᡤᠠᠳᠠᠨ ᡳ ᠰᠠᠶᠠᠨ ᡳ ᠰᡠᠯᡤᠠᠯᡳᠨ; 'auto' ᡩᠣᠮᡝᠨ ᠮᠣᡩᡝᠯ ᠰᠠᠶᠠᠨ ᡳ ᠵᡠᠯᡝ ᠰᡠᠯᡤᠠᠮᠪᡳ.

output_format ᠵᡠᠯᡝ png

ᠪᡠᠶᡝᠮᡝᠮᠪᡝ ᡤᠠᠳᠠᠨᡳ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨ.

POST /run/openai/gpt-image-2?wait=20 ᠵᠠᠯᡳᠨ → $0.106

# 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/openai/gpt-image-2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/openai/gpt-image-2?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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 red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openai/gpt-image-2", 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": "openai/gpt-image-2",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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

GPT Image 2 API ᡠᡵᡝᠮᡝ

ᡳᠯᡥᠠᠮᠪᡳ ᡥᡡᠯᡥᠠᠨ ᡩᡝ 32000 ᡥᡡᠯᡥᠠᠨ ᡩᡠᠯᡝᠮᡝ. `image_size` ᡳᠯᡝ ᡝᠯᡴᡝᠨ, auto, ᠠᠴᠠ ᡝᠯᡝᡵᡤᡳ ᠵᡳᠯᡤᠠᠨ ᠨᡝ ᡤᡝᠮᡠ ᠠᠮᡠᠯᠠᠩᡤᠠ ᠪᡳᠮᡝ 16 ᡳ ᡤᡝᠮᡠ ᠰᡠᠯᡝᠮᡝ, 3840px ᡳ ᡝᡵᡝᠨ ᡩᡝᡵᡳ. ᠰᠠᠶᠠᠨ ᡩᡝ ᠪᡳᠮᡝ auto, low, medium ᠠᠴᠠ high, ᠵᡝᠮᡝ ᠵᡠᠰᡝᠨ ᡳ ᡮᡳᠨᠠᠮᠪᡳ 4 ᡩᡝ ᠵᡝᡵᡤᡳ ᡳᠯᡥᠠᠮᠪᡳ png, jpeg ᠠᠴᠠ webp.

ᠵᠠᡴᡠᠨ

ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ

ᠵᡝᡵᡤᡳᡠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝᠠᠪᠠᠮᡝ ᠵᠠᠪᡠᠨ ᠵᠠᠯᠠᠨᡳ ᡤᡳᠰᡠᠨ

promptᡴᠠᠷᠠᡴᡡ

ᡠᠯᠠᠮᡝstring

≤ 32,000 ᠵᡳᠪᡝᠨ≥ 2 ᠵᡳᠪᡝᠨ

ᠤᠯᡥᠠ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠮᠪᡝ ᡥᡡᠯᠠᠨ.

image_sizeᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝobject

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝlandscape_4_3

square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9auto

backgroundᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝenum

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝauto

autotransparentopaque

ᠪᡠᠶᡝᠮᡝᠮᠪᡝ ᠤᠯᡥᠠ ᡤᠠᠳᠠᠨᡳ ᠵᡠᠯᡤᡝ.

qualityᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝenum

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝhigh

autolowmediumhigh

ᡤᠠᠳᠠᠨ ᡳ ᠰᠠᠶᠠᠨ ᡳ ᠰᡠᠯᡤᠠᠯᡳᠨ; 'auto' ᡩᠣᠮᡝᠨ ᠮᠣᡩᡝᠯ ᠰᠠᠶᠠᠨ ᡳ ᠵᡠᠯᡝ ᠰᡠᠯᡤᠠᠮᠪᡳ.

num_imagesᠵᡠᠯᡝ num_outputs

ᡠᠯᠠᠮᡝinteger

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1

1 – 4

ᡳᠯᡳᠪᡠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠠᠯᡤᠠᠨ.

output_formatᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝenum

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝpng

jpegpngwebp

ᠪᡠᠶᡝᠮᡝᠮᠪᡝ ᡤᠠᠳᠠᠨᡳ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨ.

enable_safety_checkerᠵᡠᠯᡝ

ᡠᠯᠠᠮᡝboolean

ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝtrue

ᠠᠰᡠᡵᠠᠮᡝ ᠠᠨᡩᠠ ᠪᡳᠮᡝ ᠰᠠᡳᠨ᠈ ᠵᡠᠴᡝᠨ ᠵᡠᠰᡝ ᠠᠰᡠᡵᠠᠮᡝ᠉

ᡴᠠᠷᠠᡴᡡ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ᠈ ᠮᡠᠰᡝ ᡝᠮᡠ ᠠᠪᠠᠮᠪᡳ

ᠪᡠᠶᡝᠮᡝ

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "openai/gpt-image-2",
  "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": 106,
    "usd": "0.106",
    "charged": 106,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
      }
    ]
  },
  "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, content_type, file_name, file_size, width, height}ᠮᠣᡩᡝᠯ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᠤᠨᠠᠰᡳᠨ᠉

ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡥᡡᠯᠠᠨ ᡩᡝ ᡤᠠᠳᠠᠨ

AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/openai/gpt-image-2.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt

ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ

ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ

ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ

GPT Image 2 API ᡠᡵᡝᠮᡝ

ᠵᠠᡴᡠᠨ

ᠪᡠᠶᡝᠮᡝ

ᡝᠯᡤᡳ GPT Image 2 API ᡠᠯᡤᡳᠨ

GPT Image 2 API · Edit ᡠᠯᡤᡳᠨ: 2

ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡥᡡᠯᠠᠨ ᡩᡝ ᡤᠠᠳᠠᠨ

GPT Image 2.5 Text to Image ᡠᠯᡤᡳᠨ: 4

FLUX.1 [dev] ᡠᠯᡤᡳᠨ: 5

FLUX.1 [schnell] ᡠᠯᡤᡳᠨ: 5

FLUX.2 [dev] ᡠᠯᡤᡳᠨ: 11