Openai Gpt Image 2 Text To Image

Openai Gpt Image 2 Text To Image

Playground

OpenAI’s GPT Image 2 Text-to-Image generates high-quality images from natural-language prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

OpenAI GPT Image 2 Text-to-Image transforms natural-language prompts into high-quality images. Describe the scene, style, lighting, composition, or typography you want, and the model generates polished visuals with strong prompt fidelity, detailed rendering, and flexible creative control.

• Need to edit an existing image instead? Try OpenAI GPT Image 2 Edit.

Why Choose This?

• Strong prompt fidelity Generate images that closely follow detailed natural-language instructions, including scene layout, visual style, and composition.

• High-quality image generation Produce polished visuals suitable for marketing creatives, concept design, product mockups, and branded content.

• Accurate text rendering Create images that include clearer, more usable in-image text for posters, ads, packaging, and interface mockups.

• Flexible aspect ratios Support square, portrait, and landscape outputs for common social, editorial, and product use cases.

• Production-ready API Access the model through a ready-to-use REST inference API for fast integration into applications and workflows.

Parameters

How to Use

1. Write your prompt — describe the image in detail, including subject, style, lighting, composition, and any text you want to appear.
2. Choose aspect ratio (optional) — use 1:1 for square, 2:3 or 9:16 for portrait, 3:2 or 16:9 for landscape, etc.
3. Submit — run the model and download your generated image.

Example Prompt

A cinematic product photo of a luxury perfume bottle on a marble surface, soft golden-hour lighting, shallow depth of field, elegant reflections, premium editorial photography style

Pricing

Pricing varies by quality and resolution.

Best Use Cases

• Marketing creatives — Generate hero images, ad visuals, banners, and campaign assets from text prompts.
• E-commerce content — Create product shots, lifestyle scenes, and promotional visuals without a full studio workflow.
• Landing pages & web design — Produce branded illustrations, hero sections, and visual mockups for websites.
• Social media content — Quickly generate eye-catching visuals tailored to different content formats.
• Concept art & ideation — Explore visual directions for products, scenes, characters, and campaigns.
• Typography-driven visuals — Create posters, ads, and packaging concepts that require readable in-image text.

Pro Tips

• Be specific in your prompt — include subject, environment, camera angle, lighting, mood, and style.
• Use natural sentence structure rather than keyword stuffing for better prompt understanding.
• For text inside the image, put the exact wording in quotes.
• Mention visual style clearly, such as photorealistic, cinematic, vector illustration, oil painting, or isometric 3D.
• Test multiple aspect ratios when creating assets for different placements like social posts, banners, or landing pages.
• Iterate on prompt details like composition and lighting to get more consistent results.

Notes

• prompt is the only required field.
• Supported aspect ratios are 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.
• This model is intended for text-to-image generation from natural-language instructions.

Related Models

• OpenAI GPT Image 2 Edit — Edit one or more reference images using natural-language instructions.

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",
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "quality": "medium",
  "output_format": "png"
}
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-2/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