Openai Gpt Image 1.5 Text To Image

Openai Gpt Image 1.5 Text To Image

Playground

GPT Image 1.5 text to image is OpenAI’s fast, cost-efficient text-to-image generator powered by GPT-5 guidance. Create photorealistic shots, product renders, concept art, and stylized graphics from natural-language prompts (optionally conditioned with an image). Supports custom aspect ratios, seeds, negative prompts, hex color hints, and style presets. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

**GPT Image 1.5 text to image ** is a cost-efficient multimodal text-to-image generation model powered by OpenAI’s GPT image technology. It combines strong prompt understanding with optimized image synthesis to generate high-quality visuals from natural language — ideal for UI design, concept art, product mockups, and creative visualization.

🌟 Key Features

• 🧠 Strong Prompt Understanding Accurately interprets complex prompts, styles, and constraints to produce coherent, context-aware images.

• 🎨 Efficient Image Generation Generates polished, high-fidelity images with low latency and cost-friendly performance.

• 💡 Multimodal-Ready Foundation Built for workflows that benefit from both text guidance and visual reasoning.

• 💰 Cost-Effective at Scale Great for rapid iteration, A/B creative testing, and production pipelines.

• 🧩 UI/UX Friendly Outputs Performs well on clean compositions, modern design aesthetics, and structured layouts.

⚙️ Parameters

💡 Example Prompt

Street food market in Tokyo at night, chef tossing flaming wok with vegetables mid-air, steam rising, colorful paper lanterns overhead, motion blur on crowd in background, vibrant neon signs, photojournalism style

💰 Pricing

Reference table (total_price per image generated):

🎯 Use Cases

• UI / UX Design Concepts – Generate layouts, interface inspirations, and design directions.
• Product & Marketing Visuals – Create campaign-ready images and fast mockups.
• Creative Ideation – Explore styles, moodboards, and concept art quickly.
• Education & Presentations – Produce illustrative visuals for decks, demos, and teaching materials.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "size": "auto",
  "quality": "medium",
  "background": "opaque",
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/openai/gpt-image-1.5/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters