# Openai GPT Image 1 Mini Text-to-Image — Atlas Cloud API

> GPT Image 1 Mini is a cost-efficient multimodal OpenAI model powered by GPT-5 that turns text or image prompts into high-quality images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

This is the machine-readable API reference for **Openai GPT Image 1 Mini Text-to-Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `openai/gpt-image-1-mini/text-to-image`
- **Built by**: OpenAI
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/openai/gpt-image-1-mini/text-to-image
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.004 per image
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_image` with `model: "openai/gpt-image-1-mini/text-to-image"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate image openai/gpt-image-1-mini/text-to-image -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `openai/gpt-image-1-mini/text-to-image`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"openai/gpt-image-1-mini/text-to-image"`

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation.

- **`size`** (`string`, _optional_):
  The size of the generated media in pixels (widthxheight).
  - Default: `"1024x1024"`
  - Options: "1024x1024", "1024x1536", "1536x1024"

- **`quality`** (`string`, _optional_):
  The quality of the generated image.
  - Default: `"medium"`
  - Options: "low", "medium", "high"

- **`output_format`** (`string`, _optional_):
  Output image format.
  - Default: `"png"`
  - Options: "png", "jpeg"

- **`output_compression`** (`integer`, _optional_):
  Compression level for output image.
  - Default: `100`
  - Min: 0
  - Max: 100

- **`n`** (`integer`, _optional_):
  Number of images to generate.
  - Default: `1`
  - Min: 1
  - Max: 10

- **`enable_sync_mode`** (`boolean`, _optional_):
  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.
  - Default: `false`

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "openai/gpt-image-1-mini/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "openai/gpt-image-1-mini/text-to-image",
  "prompt": "",
  "size": "1024x1024",
  "quality": "medium",
  "output_format": "png",
  "output_compression": 100,
  "n": 1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  Array of boolean values indicating NSFW detection for each output.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty when status is not completed).

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "has_nsfw_contents": [],
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "openai/gpt-image-1-mini/text-to-image",
  "prompt": "",
  "size": "1024x1024",
  "quality": "medium",
  "output_format": "png",
  "output_compression": 100,
  "n": 1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/openai/gpt-image-1-mini/text-to-image)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

### 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, making it 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.

#### 🎯 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.

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/openai/gpt-image-1-mini/text-to-image · Docs: https://www.atlascloud.ai/docs