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.
Bereit

$0.06pro Durchlauf·~16 / $1

Generate a screenshot of a live stream where a blonde European-American beauty is live streaming.

Generate a poster image of a European girl group.

Generate a map of recommended tourist attractions around the world

Generate an image: A realistic YouTube screenshot showing the official launchpromotional videofor GPT Image 2 from OpenAl's official account,with comments

Vincent van Gogh style oil painting, side profile portrait of a man, double exposure composition, inside the silhouette a surreal landscape with swirling starry night sky, glowing stars, sunflowers and wheat field, a painter painting on canvas, small town by the lake with reflections, thick expressive brush strokes, post-impressionism style, vintage art poster design, textured paper background, warm yellow and deep blue contrast, highly detailed, artistic and emotional, high resolution
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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired image. |
| aspect_ratio | No | Aspect ratio: 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9. |
| resolution | No | Output resolution: 1k (default), 2k, or 4k. |
| quality | No | Image quality: low, medium (default), or high. |
1:1 for square, 2:3 or 9:16 for portrait, 3:2 or 16:9 for landscape, etc.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 varies by quality and resolution.
| Quality | 1k | 2k | 4k |
|---|---|---|---|
| low | $0.010 | $0.020 | $0.030 |
| medium | $0.060 | $0.120 | $0.180 |
| high | $0.220 | $0.440 | $0.660 |
prompt is the only required field.1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/gpt-image-2/text-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Gpt Image 2 Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/openai/gpt-image-2/text-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"resolution": "1k",
"quality": "medium",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("openai/gpt-image-2/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"resolution": "1k",
"quality": "medium",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"openai/gpt-image-2/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"resolution": "1k",
"quality": "medium",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputGpt Image 2 Text To Image is a OpenAI model for image generation, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/openai/openai-gpt-image-2-text-to-image.
Gpt Image 2 Text To Image starts at $0.060 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `enable_base64_output`, `enable_sync_mode`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/openai/openai-gpt-image-2-text-to-image.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (OpenAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.