# Qwen Image 2.0 Text-to-Image — Atlas Cloud API

> Qwen Image 2.0 is an advanced text-to-image model with enhanced image quality and improved prompt understanding. Up to 2k. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

This is the machine-readable API reference for **Qwen Image 2.0 Text-to-Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `qwen/qwen-image-2.0/text-to-image`
- **Built by**: Alibaba
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/qwen/qwen-image-2.0/text-to-image
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.028 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: "qwen/qwen-image-2.0/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 qwen/qwen-image-2.0/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**: `qwen/qwen-image-2.0/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:

- **`prompt`** (`string`, _required_):
  Text prompt describing the desired image, supports Chinese and English (max 800 characters)

- **`size`** (`string`, _optional_):
  Image dimensions in width*height format (e.g., 1024*1024, 1280*720)
  - Default: `"1024*1024"`
  - Min: 512
  - Max: 2048

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility (-1 for random, 0-2147483647 for specific seed)
  - Default: `-1`



**Required Parameters Example**:

```json
{
  "model": "qwen/qwen-image-2.0/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "qwen/qwen-image-2.0/text-to-image",
  "prompt": "",
  "size": "1024*1024",
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"qwen/qwen-image-2.0/text-to-image"`

- **`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.

- **`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
{
  "model": "qwen/qwen-image-2.0/text-to-image",
  "created_at": "",
  "has_nsfw_contents": [],
  "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": "qwen/qwen-image-2.0/text-to-image",
  "prompt": "",
  "size": "1024*1024",
  "seed": -1
}'

# 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/qwen/qwen-image-2.0/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._

### Qwen Image 2.0 Text-to-Image

Qwen Image 2.0 is Alibaba's advanced text-to-image model that generates high-quality images from detailed text descriptions. With exceptional prompt following, flexible aspect ratios, and custom resolution support, it excels at rendering complex scenes with fine details like hair, accessories, and textures.

---

#### Why Choose This?

- **Strong prompt adherence**  
  Excels at following detailed, complex prompts with multiple elements and attributes.

- **Fine detail rendering**  
  Excellent at rendering intricate details like hair textures, jewelry, and clothing accessories.

- **Flexible aspect ratios**  
  Multiple presets including `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, and `2:3`.

- **Custom resolution**  
  Adjustable width and height from `512` to `2048` pixels.

- **Prompt Enhancer**  
  Built-in tool to automatically improve your descriptions.

---

#### Parameters

| Parameter | Required | Description |
|----------|----------|-------------|
| prompt   | Yes      | Text description of the desired image |
| size     | No       | Aspect ratio preset: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width    | No       | Custom width in pixels (range: 512–2048) |
| height   | No       | Custom height in pixels (range: 512–2048) |
| seed     | No       | Random seed for reproducibility (-1 for random) |

---

#### How to Use

1. **Write your prompt**  
   Describe the image in detail, including specific attributes, styles, and elements.

2. **Choose size**  
   Select a preset aspect ratio or customize width/height.

3. **Use Prompt Enhancer (optional)**  
   Click to automatically refine your description.

4. **Set seed (optional)**  
   Use a seed for reproducible results.

5. **Run**  
   Submit and download your generated image.

---

#### Best Use Cases

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

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/qwen/qwen-image-2.0/text-to-image · Docs: https://www.atlascloud.ai/docs