Openai Gpt Image 1 Mini Text To Image

Playground

GPT Image 1 Mini is a cost-efficient, natively multimodal model that combines OpenAI’s advanced language capabilities, powered by GPT-5, with efficient image generation, allowing seamless processing of both text and image inputs to produce high-quality image outputs.

Features

gpt-image-1-mini

GPT Image 1 Mini is a cost-efficient multimodal generation model built on OpenAI’s GPT-5 architecture. It combines advanced language understanding with optimized image synthesis to generate high-quality visuals from natural text prompts — ideal for UI design, concept art, and creative visualization tasks.

🌟 Key Features

🧠 GPT-5-powered Understanding Precisely interprets complex text prompts and stylistic descriptions to deliver coherent, context-aware visuals.
🎨 Efficient Image Generation Creates polished, high-fidelity images while maintaining low latency and minimal compute cost.
💡 Native Multimodality Handles both text and visual reasoning seamlessly for design, layout, and concept synthesis.
💰 Cost-Effective Performance Delivers professional-grade image generation at a fraction of standard model pricing.
🧩 Ideal for UI/UX Design Excels at generating clean, modern design concepts, including app interfaces, dashboards, and product layouts.

⚙️ Parameters

Parameter	Description
prompt*	A text description of the desired image (e.g., “UI design inspiration for a travel app screen…”)

💡 Example Prompt

UI design inspiration for a travel app screen. Shows beautiful cards with stunning photos of travel destinations (beach, mountain). Clean layout, vibrant gradients (blue/green), modern sans-serif font style. Minimalist, user-friendly.

💰 Pricing

Metric	Price
Per image generated	$0.02 / image

🎯 Use Cases

UI / UX Design Concepts – Generate app layouts, wireframes, and visual inspirations.
Product & Marketing Visuals – Quickly create mockups for campaigns or landing pages.
Creative Ideation – Visualize abstract ideas, moodboards, or color palettes.
Educational & Presentation Assets – Produce illustrative visuals for demos or reports.

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-mini/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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.
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

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