# Qwen Image 3.0 Edit — Atlas Cloud API

> Edits images from one to three reference images and a natural-language instruction, preserving key details such as facial features and identity while applying the requested changes

This is the machine-readable API reference for **Qwen Image 3.0 Edit** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `qwen-image-3.0/edit`
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/qwen-image-3.0/edit
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.04 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-image-3.0/edit"`.
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-image-3.0/edit -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-image-3.0/edit`


## 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: `"qwen-image-3.0/edit"`

- **`prompt`** (`string`, _required_):
  The editing instruction describing how to transform the reference image(s).

- **`reference_image_urls`** (`array[string]`, _required_):
  Reference image URLs for image editing. Provide one URL for single-image editing, or up to three URLs for multi-image reference / subject-driven editing. Accepts public HTTP(S) URLs, OSS temporary URLs, or Base64 data URIs. Recommended 384–2048 px, up to 10MB each.
  - Min items: 1
  - Max items: 3

- **`size`** (`string`, _optional_):
  Output resolution as width*height (e.g. 1440*1440). Omit to let the model pick a resolution automatically. Valid range: 512*512–1440*1440.

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

- **`negative_prompt`** (`string`, _optional_):
  Describes content that should NOT appear in the generated image.

- **`seed`** (`integer`, _optional_):
  Seed for reproducible generation, range [0, 2147483647]. Omit for a random seed.
  - Min: 0
  - Max: 2147483647

- **`prompt_extend`** (`boolean`, _optional_):
  Enable intelligent prompt rewriting for richer results.
  - Default: `true`

- **`prompt_extend_mode`** (`string`, _optional_):
  Prompt rewriting strategy. 'direct' (DPE) rewrites in a single pass; 'agent' (APE) uses an agentic rewrite pipeline.
  - Default: `"direct"`
  - Options: "direct", "agent"



**Required Parameters Example**:

```json
{
  "model": "qwen-image-3.0/edit",
  "prompt": "",
  "reference_image_urls": [
    ""
  ]
}
```


**Full Example**:

```json
{
  "model": "qwen-image-3.0/edit",
  "prompt": "",
  "reference_image_urls": [
    ""
  ],
  "size": "",
  "n": 1,
  "negative_prompt": "",
  "seed": 0,
  "prompt_extend": true,
  "prompt_extend_mode": "direct"
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"qwen-image-3.0/edit"`

- **`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.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated images. Null when status is not completed. URLs are valid for about 24 hours — download promptly.

- **`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-image-3.0/edit",
  "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-image-3.0/edit",
  "prompt": "",
  "reference_image_urls": [
    ""
  ],
  "size": "",
  "n": 1,
  "negative_prompt": "",
  "seed": 0,
  "prompt_extend": true,
  "prompt_extend_mode": "direct"
}'

# 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-image-3.0/edit)

## About this model

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

### Qwen-Image 3.0 (Edit)

**Qwen-Image 3.0 Edit** is a high-fidelity image editing and image-to-image model. Supply one to three reference images plus an instruction to edit, restyle, or drive subject-consistent generation — preserving identity while changing clothing, scene, or composition. Built-in prompt expansion (DPE/APE), flexible resolution, and reproducible seeds support both rapid exploration and controlled iteration.

> Invite-beta model for interface testing. Output does not represent final quality.

#### 🌟 Key Features

##### 🖌 Image Editing
Provide one reference image plus an instruction to edit or restyle it, preserving subject identity.

##### 🧩 Multi-Image Reference
Pass up to three reference images for subject-driven personalization and compositing across inputs.

##### 🧠 Prompt Expansion (DPE / APE)
`prompt_extend` intelligently rewrites short instructions. Choose `direct` (DPE, single-pass) or `agent` (APE, agentic pipeline).

##### 📐 Flexible Resolution
Specify `size` as `width*height` (up to 1440×1440), or omit it to let the model pick automatically.

##### 🔁 Reproducible Results
Pin a `seed` value to reproduce or iterate on a specific edit.

#### ⚙️ Parameters

_(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/qwen-image-3.0/edit · Docs: https://www.atlascloud.ai/docs