How to Use the OpenAI GPT Image 2.5 Flare Edit API: image to image integration guide (2026)

2 min · Updated 2026-07-11 · By the NamiFusion team

Learn how to call the OpenAI GPT Image 2.5 Flare Edit API on NamiFusion: parameters, pricing (from ≈$0.220) and runnable copy-paste code — try it in the playground first.

OpenAI GPT Image 2.5 Flare Edit is an image to image model by OpenAI: Fast, balanced image editing from natural-language instructions and up to 16 reference images. On NamiFusion you can try it in the playground (exact quote shown before you submit), then call it through one unified REST API — about $0.220 per typical run.

TL;DR

· Task type: image to image, provided by OpenAI

· Pricing: about $0.220 per typical run ($1 = 100 credits), pay-as-you-go

· Getting started: playground (exact quote before submit) → create an API key → one POST request

· Tunable parameters: 12 (see the table below)

· No platform watermark; commercial use allowed (per the Terms of Service)

What can you build with OpenAI GPT Image 2.5 Flare Edit?

Social media visuals and covers: batch-generate on-theme images and schedule them straight away.

E-commerce and ad creatives: product scenes, banner backgrounds, and multi-variant visuals for A/B tests.

Concept art and ideation: characters, environments and style boards, iterated cheaply and fast.

Pipeline chaining: outputs feed directly into image-to-video or face swap as source material.

How do you call this API?

  1. Sign up on NamiFusion and create a key on the API Keys page (signup bonus credits can only be used on selected models).
  2. Submit a task with the cURL example below, passing your key as a Bearer token.
  3. Poll the task status with the returned task_uuid and read the output URLs when completed.
Submit a task
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2.5-flare/edit" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "images": [
      "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/19/b58b3f934797.jpeg"
    ],
    "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
    "n": 1,
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "quality": "auto",
    "background": "auto",
    "input_fidelity": "low",
    "output_format": "png",
    "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"

What parameters does it take?

images (Images): required

prompt (Prompt): required

n (Image Count): optional, default 1

aspect_ratio (Aspect Ratio): optional, default "1:1"

resolution (Resolution): optional, default "1k"

size (Size): optional

quality (Quality): optional, default "auto"

mask (Mask Image): optional

background (Background): optional, default "auto"

input_fidelity (Input Fidelity): optional, default "low"

output_format (Output Format): optional, default "png"

output_compression (Compression): optional

How do you write prompts for OpenAI GPT Image 2.5 Flare Edit?

  1. Subject first: lead with the actor and action, then add environment, lighting and style ("an astronaut sprinting through a neon street in the rain, cinematic, shallow depth of field").
  2. Concrete nouns beat stacked adjectives: "85mm portrait lens, golden-hour backlight" works far better than "very beautiful, ultra high quality".
  3. Change one variable per iteration: pin the seed to reproduce a result, tweak a single phrase at a time so you know what actually moved the output.
  4. State negatives positively: instead of "no blur", ask for "sharp focus, crisp details".

How much does it cost?

Pay-per-use in credits. About $0.220 per typical run ($1 = 100 credits); the exact price varies with parameters like resolution or duration, and the playground shows the exact quote before you submit.

OpenAI GPT Image 2.5 Flare Edit

Fast, balanced image editing from natural-language instructions and up to 16 reference images.

API endpoint

POST /api/v1/marketplace/run/openai/gpt-image-2.5-flare/edit

Submit JSON as {"input": {...}}, then poll GET /api/v1/marketplace/run/tasks/{task_uuid} until the task completes.

Parameters

  • images (required): 1 to 16 input image URLs.
  • prompt (required): Editing instruction, up to 5,000 characters.
  • mask: Optional mask image URL.
  • background: auto, transparent, or opaque.
  • input_fidelity: low or high.
  • n: 1 to 10 images; default 1.
  • aspect_ratio: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, or 21:9.
  • resolution: 1k, 2k, or 4k; default 1k.
  • size: Optional explicit widthxheight; when supplied it overrides aspect_ratio and resolution.
  • quality: auto, low, medium, high, xhigh, or max; default auto.
  • output_format: png, jpeg, or webp; default png.
  • output_compression: 0 to 100; only relevant to compressed formats.
  • moderation: auto or low; default auto.

Output

{"images": ["https://..."]}

FAQ

Can I try it for free first?+

Signup bonus credits can only be used on selected models, and eligibility may change. The playground shows the exact quote before submission.

Can I use the output commercially? Is there a watermark?+

Yes, outputs are yours to use commercially, and NamiFusion adds no platform watermark — subject to the Terms of Service and applicable law.

What is the content policy?+

Pornographic content, sexualized content involving a minor, unauthorized use of real people, deceptive impersonation, fraud and false endorsements are prohibited. Lawful, consensual, non-explicit adult themes may be permitted; see the Terms of Service.

How long does a OpenAI GPT Image 2.5 Flare Edit task take?+

It depends on parameters — images usually take seconds, videos tens of seconds to minutes. The API returns a task_uuid for polling.

What are the resolution and duration limits?+

See the parameter table above — each model lists its available resolution and duration options there and in the playground.