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GPT Image 2 ALL

Por Solicitaรงรฃo:$0.04
Lanรงado: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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Playground para GPT Image 2 ALL

Explore o Playground do GPT Image 2 ALL โ€” um ambiente interativo para testar modelos e executar consultas em tempo real. Experimente prompts, ajuste parรขmetros e itere instantaneamente para acelerar o desenvolvimento e validar casos de uso.

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.

Preรงos para GPT Image 2 ALL

Explore preรงos competitivos para GPT Image 2 ALL, projetado para atender diversos orรงamentos e necessidades de uso. Nossos planos flexรญveis garantem que vocรช pague apenas pelo que usar, facilitando o dimensionamento conforme suas necessidades crescem. Descubra como GPT Image 2 ALL pode aprimorar seus projetos mantendo os custos gerenciรกveis.

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

Cรณdigo de exemplo e API para GPT Image 2 ALL

Acesse cรณdigo de exemplo abrangente e recursos de API para GPT Image 2 ALL para otimizar seu processo de integraรงรฃo. Nossa documentaรงรฃo detalhada fornece orientaรงรฃo passo a passo, ajudando vocรช a aproveitar todo o potencial do GPT Image 2 ALL em seus projetos.

# 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}`);