OpenAI GPT Image 2 Edit

openai/gpt-image-2/edit

openai/gpt-image-2/edit. 이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다.

관련 모델

OpenAI GPT Image 2 Edit 관련 모델 1

전체 매개변수, 출력 스키마 및 실시간 요금

AI 모델 API 마켓하나의 플랫폼, 모든 기능가장 인기이용약관이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다.
images *Imagesimage_upload—image/* · 1–10 items
prompt *Prompttextarea—≤ 5000 chars
nImage Countslider11 ~ 10
aspect_ratioAspect Ratioselect—1:1 | 1:2 | 1:3 | 2:1 | 2:3 | 3:1 | 3:2 | 3:4 | …
resolutionResolutionselect—1k | 2k | 4k
sizeSizetextauto—
qualityQualityselectautoauto | low | medium | high
maskMask Imageimage_upload—image/* · 0–1 items
backgroundBackgroundselectautoauto | transparent | opaque
input_fidelityInput Fidelityselectlowlow | high
output_formatOutput Formatselectpngpng | jpeg | webp
output_compressionCompressionnumber—0 ~ 100
moderationModerationselectautoauto | low

전체 매개변수, 출력 스키마 및 실시간 요금

자세히 보기하나의 플랫폼, 모든 기능이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다.
imagesarray<string>

API

이미지, 동영상, 얼굴 바꾸기 모델 API를 살펴보세요. 모델을 시험한 뒤 하나의 통합 REST API로 연결할 수 있습니다.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2/edit" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "images": [
      "https://assets-public.namifusion.com/uploads/images/2026-04-24/b96da2a48506.png",
      "https://assets-public.namifusion.com/uploads/images/2026-04-24/4831013a68e1.png"
    ],
    "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
    "n": 3,
    "aspect_ratio": "16:9",
    "resolution": "4k",
    "size": "1024x1024",
    "quality": "high",
    "background": "auto",
    "input_fidelity": "low",
    "output_format": "jpeg",
    "output_compression": 85,
    "moderation": "auto"
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2/edit",
    headers=HEADERS,
    json={
        "input": {
            "images": [
                "https://assets-public.namifusion.com/uploads/images/2026-04-24/b96da2a48506.png",
                "https://assets-public.namifusion.com/uploads/images/2026-04-24/4831013a68e1.png"
            ],
            "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
            "n": 3,
            "aspect_ratio": "16:9",
            "resolution": "4k",
            "size": "1024x1024",
            "quality": "high",
            "background": "auto",
            "input_fidelity": "low",
            "output_format": "jpeg",
            "output_compression": 85,
            "moderation": "auto"
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 600s server-side.
deadline = time.time() + 660
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2/edit", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "images": [
        "https://assets-public.namifusion.com/uploads/images/2026-04-24/b96da2a48506.png",
        "https://assets-public.namifusion.com/uploads/images/2026-04-24/4831013a68e1.png"
      ],
      "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
      "n": 3,
      "aspect_ratio": "16:9",
      "resolution": "4k",
      "size": "1024x1024",
      "quality": "high",
      "background": "auto",
      "input_fidelity": "low",
      "output_format": "jpeg",
      "output_compression": 85,
      "moderation": "auto"
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 600s server-side.
const deadline = Date.now() + 660 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

API 문서

OpenAI GPT Image 2 Edit

Effortless Image Editing with Natural Language Instructions

OpenAI GPT Image 2 Edit is a cutting-edge text-to-image model designed for seamless image editing using natural-language instructions. By leveraging one or more reference images, this model delivers high-quality edits with strong prompt alignment, production-ready results, and flexible aspect ratio options. With its ready-to-use REST API, developers can integrate it into creative workflows without cold start delays.


🚀 Key Features

  • Natural-Language Image Editing: Modify images by describing changes in plain language—no manual masking or complex editing required.
  • Reference Image Support: Use one or more input images as the visual source for edits, transformations, or style adjustments.
  • Flexible Aspect Ratios: Generate outputs in square, portrait, landscape, or widescreen formats to suit diverse design needs.
  • Production-Ready API: Access a robust REST API for easy integration into applications, tools, and creative pipelines.
  • Fast and Affordable: Enjoy high-quality image edits with usage-based pricing and no cold-start friction.

🛠️ Technical Specifications

ParameterTypeRequiredDefaultOptionsDescription
imagesArrayYesN/AN/AList of URLs of input images for editing.
promptStringYesN/AN/AText description of the desired edit.
aspect_ratioStringNoAuto-detect1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9Aspect ratio of the generated image. Auto-detected from input image if not specified.
resolutionStringNo1k1k, 2kResolution of the output image.
qualityStringNoMediumLow, Medium, HighQuality of the generated image. Higher quality costs more.

Example Prompt

Turn this product photo into a premium studio advertisement with soft cinematic lighting, a clean beige background, subtle shadows, realistic reflections, and luxury brand aesthetics.


💰 Pricing

ModelModalityInputCached inputOutput
gpt-image-2Image$8.00$2.00$30.00
Text$5.00$1.25-

💡 Best Use Cases

  • Product Photo Enhancement: Transform basic product shots into premium marketing visuals.
  • Creative Retouching: Modify backgrounds, lighting, styling, or composition using natural-language instructions.
  • Marketing Adaptation: Rework existing brand assets into new campaign visuals without recreating them from scratch.
  • Social Media Content: Edit images into platform-ready formats for posts, ads, and promos.
  • Design Iteration: Explore multiple visual directions from the same base image with different prompts.
  • E-Commerce Optimization: Improve product presentation for listings, hero banners, and promotional creatives.

🔗 Related Models

  • OpenAI GPT Image 2 Text-to-Image: Generate new images directly from natural-language prompts.

Pro Tip: Be specific about what should stay unchanged and what should be modified. Mention visual styles, lighting, and mood clearly for optimal results.


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