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GPT Image 2 ALL

ฤฐstek BaลŸฤฑna:$0.04
Yayฤฑnlandฤฑ:Apr 23, 2026

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

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GPT Image 2 ALL iรงin Playground

GPT Image 2 ALL'ฤฑn Playground'unu keลŸfedin โ€” modelleri test etmek ve sorgularฤฑ gerรงek zamanlฤฑ olarak รงalฤฑลŸtฤฑrmak iรงin etkileลŸimli bir ortam. Prompt'larฤฑ deneyin, parametreleri ayarlayฤฑn ve geliลŸtirmeyi hฤฑzlandฤฑrmak ve kullanฤฑm senaryolarฤฑnฤฑ doฤŸrulamak iรงin anฤฑnda yineleyin.

What Is GPT Image 2?

GPT Image 2 is OpenAIโ€™s state-of-the-art image generation model, natively integrated into ChatGPT as ChatGPT Images 2.0. Unlike earlier standalone tools like DALLยทE 3, it combines GPT-series language understanding with advanced visual synthesis. The model generates precise, usable images optimized for professional tasks rather than purely artistic experimentation.

Key capabilities

  • Near-perfect text rendering: Achieves ~99% character-level accuracy, rendering legible, contextually accurate text in English and non-Latin scripts. It handles long blocks, menus, posters, and infographics without the garbled typography common in prior models.
  • Complex composition and layout fidelity: Produces structured outputs such as UI mockups, floor plans, data visualizations, slides, maps, manga pages, and multi-element grids (e.g., 10x10 icon arrays or product posters).
  • Multilingual and cultural support: Generates accurate text and culturally relevant visuals in multiple languages.
  • Image editing and reference handling: Applies edits to uploaded images while preserving details, faces, and styles with high consistency.
  • Batch generation: Creates up to 8 coherent images from a single prompt, maintaining character and object consistency across the set.
  • Photorealism and usability: Outputs appear more natural and production-ready, with fewer artifacts, better iconography, and professional composition.

GPT Image 2 ALL iรงin Fiyatlandฤฑrma

GPT Image 2 ALL iรงin รงeลŸitli bรผtรงelere ve kullanฤฑm ihtiyaรงlarฤฑna uygun rekabetรงi fiyatlandฤฑrmayฤฑ keลŸfedin. Esnek planlarฤฑmฤฑz sadece kullandฤฑฤŸฤฑnฤฑz kadar รถdeme yapmanฤฑzฤฑ saฤŸlar ve ihtiyaรงlarฤฑnฤฑz bรผyรผdรผkรงe kolayca รถlรงeklendirme imkanฤฑ sunar. GPT Image 2 ALL'in maliyetleri yรถnetilebilir tutarken projelerinizi nasฤฑl geliลŸtirebileceฤŸini keลŸfedin.

Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
ฤฐstek BaลŸฤฑna:$0.04
ฤฐstek BaลŸฤฑna:$0.05
-20%

GPT Image 2 ALL iรงin รถrnek kod ve API

GPT Image 2 ALL iรงin kapsamlฤฑ รถrnek kodlara ve API kaynaklarฤฑna eriลŸerek entegrasyon sรผrecinizi kolaylaลŸtฤฑrฤฑn. Ayrฤฑntฤฑlฤฑ dokรผmantasyonumuz adฤฑm adฤฑm rehberlik saฤŸlayarak projelerinizde GPT Image 2 ALL'in tรผm potansiyelinden yararlanmanฤฑza yardฤฑmcฤฑ olur.

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

mkdir -p output

response=$(curl -s https://api.cometapi.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-image-2-all",
    "prompt": "A cute baby sea otter",
    "size": "1024x1024"
  }')

if command -v jq >/dev/null 2>&1; then
  image_data=$(printf '%s' "$response" | jq -r '.data[0].b64_json')
else
  image_data=$(printf '%s' "$response" | sed -n 's/.*"b64_json":"\([^"]*\)".*/\1/p')
fi

if [ -n "$image_data" ] && [ "$image_data" != "null" ]; then
  printf '%s' "$image_data" | base64 -d > output/gpt-image-2-all-output.png 2>/dev/null || printf '%s' "$image_data" | base64 -D > output/gpt-image-2-all-output.png
  echo "Image saved to: output/gpt-image-2-all-output.png"
else
  echo "Error: Failed to generate image"
  echo "$response"
fi

cURL Code Example

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

mkdir -p output

response=$(curl -s https://api.cometapi.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-image-2-all",
    "prompt": "A cute baby sea otter",
    "size": "1024x1024"
  }')

if command -v jq >/dev/null 2>&1; then
  image_data=$(printf '%s' "$response" | jq -r '.data[0].b64_json')
else
  image_data=$(printf '%s' "$response" | sed -n 's/.*"b64_json":"\([^"]*\)".*/\1/p')
fi

if [ -n "$image_data" ] && [ "$image_data" != "null" ]; then
  printf '%s' "$image_data" | base64 -d > output/gpt-image-2-all-output.png 2>/dev/null || printf '%s' "$image_data" | base64 -D > output/gpt-image-2-all-output.png
  echo "Image saved to: output/gpt-image-2-all-output.png"
else
  echo "Error: Failed to generate image"
  echo "$response"
fi

Python Code Example

import base64
import os
from openai import OpenAI

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

os.makedirs("output", exist_ok=True)

result = client.images.generate(
    model="gpt-image-2-all",
    prompt="A cute baby sea otter",
    size="1024x1024",
)

image_base64 = result.data[0].b64_json
image_bytes = base64.b64decode(image_base64)
output_path = "output/gpt-image-2-all-output.png"

with open(output_path, "wb") as file:
    file.write(image_bytes)

print(f"Image saved to: {output_path}")

JavaScript Code Example

import OpenAI from "openai";
import { mkdir, writeFile } from "fs/promises";
import path from "path";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey: api_key,
  baseURL: base_url,
});

await mkdir(path.join(process.cwd(), "output"), { recursive: true });

const result = await client.images.generate({
  model: "gpt-image-2-all",
  prompt: "A cute baby sea otter",
  size: "1024x1024",
});

const imageBase64 = result.data[0].b64_json;
const imageBuffer = Buffer.from(imageBase64, "base64");
const outputPath = path.join(process.cwd(), "output", "gpt-image-2-all-output.png");

await writeFile(outputPath, imageBuffer);

console.log(`Image saved to: ${outputPath}`);