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PRACTICAL TUTORIAL / CHATGPT + API

How to Use GPT Image 2.5

Follow the shortest path from access to a useful first image. This guide covers the ChatGPT workflow, a minimal API smoke test, prompt writing, multi-turn editing, and the fixes for common setup problems.

Quick Start

In ChatGPT: Select “GPT Image 2.5” from the model picker, write your prompt, and submit it.
Via API: Use gpt-image-2.5-sunburst or gpt-image-2.5-flare with the documented Images API route.
Need access? Jump to How to Get Access.

Prerequisites and Access

Access can vary by account, plan, region, rollout stage, and provider. Check the live product or developer documentation first; do not treat a guide as a guarantee that a model appears in every account.

ChatGPT account

Use an eligible ChatGPT plan or workspace. If the model picker does not show the option, check the account and current product availability.

API account

For API use, create a developer project, add billing where required, and store the key server-side as an environment variable.

Supported region

Confirm regional availability and usage policies in the official OpenAI documentation.

Method 1: Use GPT Image 2.5 in ChatGPT

This is the simplest path for most people. The controls may change as ChatGPT updates, so use the labels visible in your account.

Open ChatGPT and find the model picker

Sign in, start a new conversation, and open the model selector near the top of the chat. On a narrow screen, the selector may be inside the conversation header.

Screenshot placeholder: ChatGPT model picker showing GPT Image 2.5 option

Select `GPT Image 2.5`

Choose the image model if it appears in your list. If it is missing, review the troubleshooting section below instead of repeatedly submitting prompts to an unavailable model.

Screenshot placeholder: GPT Image 2.5 selected in the ChatGPT menu

Write a concrete image prompt

State the subject, purpose, composition, lighting, style, color direction, aspect ratio, and any text requirements. For example: “Create a clean editorial portrait of a ceramic artist in a sunlit studio, 4:5 composition, warm neutral palette, no logos.”

Screenshot placeholder: image generation prompt in the ChatGPT composer

Review, enlarge, and download

Wait for the result, then open the image to inspect details at full size. Download only after checking faces, hands, small type, edges, and the crop needed for your destination.

Screenshot placeholder: generated image viewer and download control

Edit in the same conversation

Ask for one focused change, such as “Keep the subject and camera angle; brighten the background and remove the cup on the right.” Multi-turn edits are easier to evaluate when each request changes one important variable.

Screenshot placeholder: ChatGPT image editing controls

Screenshot note: The labeled frames above are reserved for real, first-party ChatGPT screenshots. Replace them with captured interface images before publication; do not present a mockup as a product screenshot.

Method 2: Use GPT Image 2.5 via API

The API route is useful when you need repeatable jobs, server-side storage, or integration into an application. Create an API key in the OpenAI developer platform, install the SDK, and keep the key out of browser code.

● ● ●tokenra-generation.jsonPOST

POST https://tokenra.io/v1/images/generations

{
  "model": "gpt-image-2.5-flare",
  "prompt": "Create a premium product poster for a transparent perfume bottle on wet black stone, with crisp studio lighting and elegant typography.",
  "n": 1,
  "size": "1536x1024",
  "quality": "auto",
  "output_format": "png",
  "moderation": "auto"
}

The request returns base64 image data in data[0].b64_json, together with fields such as background, output_format, quality, size, model, and usage.

● ● ●response.jsonJSON

{
  "created": 1788931908,
  "data": [{ "b64_json": "<base64 PNG data>" }],
  "background": "opaque",
  "output_format": "png",
  "quality": "low",
  "size": "1024x1536",
  "model": "gpt-image-2.5-flare",
  "usage": {
    "input_tokens": 29,
    "output_tokens": 343,
    "total_tokens": 372
  }
}

Use the returned usage values for cost accounting. For a Python SDK workflow, set your provider base URL and use the complete API reference for endpoint-specific parameters and editing limits.

● ● ●generate.pyPython

import base64
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["Tokenra_API_KEY"],
    base_url="https://tokenra.io/v1",
)

response = client.images.generate(
    model="gpt-image-2.5-flare",
    prompt="A serene mountain lake at sunrise",
    size="1536x1024",
    quality="auto",
    output_format="png",
)

with open("mountain-lake.png", "wb") as image_file:
    image_file.write(base64.b64decode(response.data[0].b64_json))

Prompt Tips for Better Results

Good prompts reduce ambiguity. You do not need a long paragraph; you need the right constraints in a readable order.

Be specific about style

Name a visual direction, medium, era, or production context rather than relying on a broad label.

editorial still life, soft film grain, restrained palette

Describe lighting

Lighting changes the mood and the readability of materials, faces, and depth.

golden hour, soft backlight, gentle shadows

State constraints

Say what must be included and what should be avoided. Keep the instruction tied to the image goal.

avoid: blurry edges, low contrast, watermark

Edit in multiple turns

Generate a baseline, then request one focused revision while naming the details to preserve.

keep the pose and identity; change only the background

Specify composition

Tell the model where the subject sits and where copy or interface space may be needed.

subject on the right, clean negative space on the left

Review small text

If an image contains words, provide exact copy and inspect every character before publishing.

use the exact headline; no invented lettering

Common Issues and Fixes

Model missing in ChatGPT

Check your plan, account, region, and current rollout. Sign out and back in once, then confirm the product status before escalating.

API returns 404

Check the endpoint, API version, and exact hyphenated model ID: gpt-image-2.5-sunburst. Verify that the project is allowed to use it.

Quality is not right

Make the prompt more concrete, specify composition and lighting, and try a higher quality setting only after the concept works.

Generation takes too long

High-resolution and high-quality jobs can take longer. Try a smaller size or lower quality for the first composition pass.

How to Use GPT Image 2.5 FAQ

Is GPT Image 2.5 free?+

Access and pricing depend on the product surface, account, model, and current provider terms. Check your ChatGPT plan or API pricing rather than assuming a fixed free allowance.

Can I use GPT Image 2.5 without a ChatGPT subscription?+

You may be able to use the API if your developer account has access and billing enabled. ChatGPT availability can differ by plan, region, and rollout stage.

What's the difference between GPT Image 2.5 and GPT Image 2?+

GPT Image 2.5 is a newer release. Compare documented editing behavior, output options, latency, and real usage for your workflow instead of relying on an absolute quality claim.

How many images can I generate per day?+

There is no single limit for every user. ChatGPT limits and API rate limits can vary by plan, organization, model, and current service policy.

Does GPT Image 2.5 support inpainting?+

Image editing workflows can use an input image and, where supported, a mask to identify an area for change. Confirm the current endpoint requirements before implementing inpainting.

Related resources: GPT Image 2.5 overview · complete API reference. Access and billing details are dated and linked to the current OpenAI model documentation.