# Qwen-Image Edit Plus 20251215 — Atlas Cloud API

> Supports multiple image inputs and outputs, allowing for precise modification of text within images, addition, deletion, or movement of objects, alteration of subject actions, transfer of image styles, and enhancement of image details.

This is the machine-readable API reference for **Qwen-Image Edit Plus 20251215** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `alibaba/qwen-image/edit-plus-20251215`
- **Built by**: Alibaba
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/alibaba/qwen-image/edit-plus-20251215
- **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/edit-plus-20251215"`.
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/edit-plus-20251215 -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/edit-plus-20251215`


## 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/edit-plus-20251215"`

- **`images`** (`array[string]`, _required_):
  List of URLs of input images (1-3 images). Image Format: JPG, JPEG, PNG, BMP, TIFF, WEBP, GIF (first frame). Resolution: Recommended 384px - 3072px. Size Limit: Max 10MB per image.
  - Min items: 1
  - Max items: 3

- **`prompt`** (`string`, _required_):
  Text instruction for editing. Max 800 characters.

- **`negative_prompt`** (`string`, _optional_):
  Description of content to exclude (max 500 characters).

- **`prompt_extend`** (`boolean`, _optional_):
  Supports intelligent prompt rewriting for better results.
  - Default: `false`

- **`size`** (`string`, _optional_):
  Output resolution (512-2048px). Leave empty for original resolution of the last image.
  - Default: `""`
  - Min: 512
  - Max: 2048

- **`num_images`** (`integer`, _optional_):
  Number of output images (1-6).
  - Default: `1`
  - Min: 1
  - Max: 6

- **`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/edit-plus-20251215",
  "images": [
    ""
  ],
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/qwen-image/edit-plus-20251215",
  "images": [
    ""
  ],
  "prompt": "",
  "negative_prompt": "",
  "prompt_extend": false,
  "size": "",
  "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/edit-plus-20251215",
  "images": [
    ""
  ],
  "prompt": "",
  "negative_prompt": "",
  "prompt_extend": false,
  "size": "",
  "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/edit-plus-20251215)

## 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 Edit Plus (20251215)

An advanced image editing model from Alibaba Cloud, offering precise control and high-quality results. This is a specific snapshot version of the Qwen-Image Edit Plus model, designed to handle complex editing tasks with consistent performance. It supports multi-image input and output, enabling complex tasks such as precise text modification, object addition/deletion/movement, action change, style transfer, and detail enhancement.

#### Overview
- **Purpose:** Perform precise image edits using text instructions.
- **Core Capability:** Supports single-image editing and multi-image blending.
- **Foundation:** Powered by Alibaba's advanced multi-modal generative AI technology.
- **Typical Output:** High-quality edited images (1-6 per request) that seamlessly blend changes with the original content.
- **Use Cases:** E-commerce product photography, professional photo retouching, creative design adjustments, and marketing asset generation.

#### Key Features

- **Multi-image Blending:**
    - Example: Combine a girl from Image 1, wearing a skirt from Image 2, sitting in a pose from Image 3.
    - Example: Combine a girl from Image 1, a necklace from Image 2, and a bag from Image 3.
- **Single-image Editing:**
    - Generate depth-compliant images.
    - Replace text (e.g., "HEALTH INSURANCE" -> "明天会更好").
    - Replace shirt color.
    - Change background (e.g., to Antarctica).
- **High Fidelity:** Preserves the quality, lighting, and texture of the original image while applying edits.
- **Precise Editing:** Capable of modifying text within images, adding/deleting/moving objects, changing subject actions, transferring styles, and enhancing details.
- **Custom Resolution:** Supports specifying output image resolution (512-2048px).
- **Prompt Optimization:** Supports intelligent prompt rewriting (`prompt_extend`) for better results.

#### Designed For

_(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/edit-plus-20251215 · Docs: https://www.atlascloud.ai/docs