# Krea 2 Trubo Text-to-Image — Atlas Cloud API

> Generate high-fidelity images from text in seconds with Krea 2 Turbo, the speed-optimized open-source version of Krea 2, preserving its aesthetic range for rapid ideation.

This is the machine-readable API reference for **Krea 2 Trubo Text-to-Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `krea-2-turbo/text-to-image`
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/krea-2-turbo/text-to-image
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.008 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: "krea-2-turbo/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 krea-2-turbo/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**: `krea-2-turbo/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: `"krea-2-turbo/text-to-image"`

- **`prompt`** (`string`, _required_):
  The text prompt describing the image to generate.

- **`image_size`** (`string`, _optional_):
  Output image size. Choose a preset or specify custom dimensions.
  - Default: `"square_hd"`
  - Options: "square_hd", "square", "portrait_3_4", "portrait_9_16", "landscape_4_3", "landscape_16_9"

- **`num_images`** (`integer`, _optional_):
  Number of images to generate.
  - Default: `1`
  - Min: 1
  - Max: 4

- **`seed`** (`integer`, _optional_):
  Seed for reproducible generation. Omit for a random seed.

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



**Required Parameters Example**:

```json
{
  "model": "krea-2-turbo/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "krea-2-turbo/text-to-image",
  "prompt": "",
  "image_size": "square_hd",
  "num_images": 1,
  "seed": 0,
  "output_format": "png"
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"krea-2-turbo/text-to-image"`

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

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

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated images. Null 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
{
  "model": "krea-2-turbo/text-to-image",
  "created_at": "",
  "id": "",
  "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": "krea-2-turbo/text-to-image",
  "prompt": "",
  "image_size": "square_hd",
  "num_images": 1,
  "seed": 0,
  "output_format": "png"
}'

# 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/krea-2-turbo/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._

### Krea 2 Turbo

**Krea 2 Turbo** is a high-fidelity text-to-image model that generates images from text prompts in seconds. Tuned for speed without sacrificing detail, it delivers crisp, aesthetically strong results with flexible aspect ratios and optional prompt expansion — ideal for rapid creative iteration and production-ready visuals.

#### 🌟 Key Features

##### ✏️ Text-to-Image
Generate high-fidelity images from detailed text prompts with strong semantic understanding and photorealistic quality.

##### ⚡ Turbo Speed
Optimized for fast generation, delivering crisp results in seconds.

##### 📐 Flexible Output Sizes
Choose from six standard presets — square HD, portrait, landscape — or specify custom dimensions to match your layout.

##### 🔁 Reproducible Results
Pin a `seed` value to reproduce or iterate on a specific generation, enabling systematic prompt refinement.

##### 🖼 Batch Generation
Request up to 4 images per call with `num_images` to explore multiple variations at once.

#### ⚙️ Parameters

| Parameter | Required | Description |
|---|---|---|
| `prompt` | ✅ | Text description of the image to generate. |
| `image_size` | ❌ | Output size preset: `square_hd` (default), `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`. Also accepts custom `WxH` (e.g. `1024x768`). |
| `num_images` | ❌ | Number of images to generate (1–4, default: 1). |
| `seed` | ❌ | Seed for reproducible output. Omit for a random seed. |
| `output_format` | ❌ | Output format: `png` (default) or `jpeg`. |

#### 💲 Pricing

| Billing Standard | Price |
|---|---|
| Per megapixel | $0.0088 |

#### 💡 Prompt Tips

> A vintage travel poster for Mars, bold retro typography, warm sunset palette, rocket silhouette, textured paper grain, cinematic composition.

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/krea-2-turbo/text-to-image · Docs: https://www.atlascloud.ai/docs