Openai Gpt Image 1.5 Text To Image
Playground
Try it on WavespeedAI!GPT Image 1.5 (T2I) 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
GPT Image 1.5 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
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🧠 Strong Prompt Understanding Accurately interprets complex prompts, styles, and constraints to produce coherent, context-aware images.
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🎨 Efficient Image Generation Generates polished, high-fidelity images with low latency and cost-friendly performance.
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💡 Multimodal-Ready Foundation Built for workflows that benefit from both text guidance and visual reasoning.
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💰 Cost-Effective at Scale Great for rapid iteration, A/B creative testing, and production pipelines.
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🧩 UI/UX Friendly Outputs Performs well on clean compositions, modern design aesthetics, and structured layouts.
⚙️ Parameters
| Parameter | Description |
|---|---|
| prompt* | Text description of the desired image (e.g., “street food market at night, photojournalism style…”). |
| size | Output size: 1024×1024, 1024×1536, or 1536×1024. |
| quality | Output quality tier: low / medium / high. |
💡 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):
| Quality | 1024×1024 | 1024×1536 / 1536×1024 |
|---|---|---|
| low | $0.009 | $0.013 |
| medium | $0.034 | $0.051 |
| high | $0.133 | $0.200 |
🎯 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
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/openai/gpt-image-1.5/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1024*1024",
"quality": "medium",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| size | string | No | 1024*1024 | 1024*1024, 1024*1536, 1536*1024 | The size of the generated media in pixels (width*height). |
| quality | string | No | medium | low, medium, high | The quality of the generated image. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |