# Qwen-Image Text-to-Image Plus — Atlas Cloud API

> General-purpose image generation model that supports various art styles and is particularly good at rendering complex text.

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

- **Model ID**: `alibaba/qwen-image/text-to-image-plus`
- **Built by**: Alibaba
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/alibaba/qwen-image/text-to-image-plus
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.021 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: "alibaba/qwen-image/text-to-image-plus"`.
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 alibaba/qwen-image/text-to-image-plus -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**: `alibaba/qwen-image/text-to-image-plus`


## 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: `"alibaba/qwen-image/text-to-image-plus"`

- **`prompt`** (`string`, _required_):
  The prompt for generating the image.

- **`negative_prompt`** (`string`, _optional_):
  Negative prompt for the generation.

- **`enable_prompt_expansion`** (`boolean`, _optional_):
  If set to true, the prompt optimizer will be enabled.
  - Default: `false`

- **`size`** (`string`, _optional_):
  The size of the generated image in pixels (width*height).
  - Default: `"1664*928"`
  - Options: "1664*928", "1472*1104", "1328*1328", "1104*1472", "928*1664"

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

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation. -1 means a random seed will be used.
  - Default: `-1`

- **`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": "alibaba/qwen-image/text-to-image-plus",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/qwen-image/text-to-image-plus",
  "prompt": "",
  "negative_prompt": "",
  "enable_prompt_expansion": false,
  "size": "1664*928",
  "num_images": 1,
  "seed": -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”).

- **`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[object]`, _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": "",
  "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": "alibaba/qwen-image/text-to-image-plus",
  "prompt": "",
  "negative_prompt": "",
  "enable_prompt_expansion": false,
  "size": "1664*928",
  "num_images": 1,
  "seed": -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/alibaba/qwen-image/text-to-image-plus)

## About this model

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

### Alibaba Qwen-Image Text-to-Image Plus

An enhanced text-to-image generation model from Alibaba Cloud that strikes an optimal balance between high-quality visual output and generation efficiency. Qwen-Image Plus is designed to handle a wide variety of creative tasks, producing detailed and aesthetically pleasing images from text prompts with excellent semantic understanding.

#### Overview
- **Purpose:** Generate high-quality images from text descriptions efficiently.
- **Core Capability:** Strong prompt adherence and versatile style generation.
- **Foundation:** Powered by Alibaba's advanced multi-modal generative AI technology.
- **Typical Output:** Detailed, coherent images suitable for content creation, social media, and design drafts.
- **Use Cases:** Social media content, blog illustrations, rapid prototyping, storyboarding, and general creative design.

#### Key Features

- **Enhanced Visual Quality:** Produces sharp, vibrant, and well-composed images that exceed standard model capabilities.
- **Semantic Accuracy:** Effectively understands and visualizes complex prompts and descriptive attributes.
- **Balanced Performance:** Optimized to deliver high-quality results with faster generation times compared to the Max variant.
- **Style Adaptability:** Capable of generating images in various artistic styles, including anime, photorealism, sketch, and digital art.
- **Text Rendering:** Good capability for rendering text elements within images.

#### Designed For

- **Content Creators:** Quickly generate engaging visuals for social platforms and articles.
- **Developers:** Integrate reliable image generation into applications and workflows.
- **Designers:** Rapidly iterate on concepts and create mood boards.
- **General Users:** Explore AI art generation with high-quality results.

#### Input Requirements

To achieve the best results, follow these guidelines:

_(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/alibaba/qwen-image/text-to-image-plus · Docs: https://www.atlascloud.ai/docs