# Wan 2.6 Image-to-Image — Atlas Cloud API

> Supports image editing and mixed text and image output to meet diverse generation and integration needs.

This is the machine-readable API reference for **Wan 2.6 Image-to-Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `alibaba/wan-2.6/image-edit`
- **Built by**: Alibaba
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/alibaba/wan-2.6/image-edit
- **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/wan-2.6/image-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 alibaba/wan-2.6/image-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**: `alibaba/wan-2.6/image-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: `"alibaba/wan-2.6/image-edit"`

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation.

- **`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`

- **`images`** (`array[string]`, _required_):
  List of URLs of input images for editing. The maximum number of images is 4. Image formats: JPEG, JPG, PNG (alpha channel not supported), BMP, WEBP. Image resolution: Image width and height both range from [384, 5000] pixels. File size: No more than 10MB.
  - Min items: 1
  - Max items: 4

- **`size`** (`string`, _optional_):
  The size of the generated image in pixels (width*height).
  - Default: `"1280*1280"`
  - Options: "576*1344", "720*1280", "720*1680", "768*1024", "800*1200", "816*1904", "936*1664", "960*1280", "960*1440", "1024*768", "1024*1024", "1040*1560", "1104*1472", "1200*800", "1280*720", "1280*960", "1280*1280", "1344*576", "1440*960", "1472*1104", "1560*1040", "1664*936", "1680*720", "1904*816"

- **`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`

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



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-2.6/image-edit",
  "images": [
    ""
  ],
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.6/image-edit",
  "prompt": "",
  "negative_prompt": "",
  "enable_prompt_expansion": false,
  "images": [
    ""
  ],
  "size": "1280*1280",
  "enable_sync_mode": false,
  "enable_base64_output": false,
  "seed": -1
}
```


### 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”).

- **`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.

- **`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": "",
  "has_nsfw_contents": [],
  "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/wan-2.6/image-edit",
  "prompt": "",
  "negative_prompt": "",
  "enable_prompt_expansion": false,
  "images": [
    ""
  ],
  "size": "1280*1280",
  "enable_sync_mode": false,
  "enable_base64_output": false,
  "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/alibaba/wan-2.6/image-edit)

## About this model

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

### Alibaba WAN 2.6 Image Edit

**Alibaba WAN 2.6 Image Edit** enables you to upload an existing visual and
specify the desired adjustments. The model preserves layout and subject
structure while implementing high-quality updates based on natural language.

#### Why creators love it

* **Structure-preserving edits:** Make lighting, color, or object changes without breaking composition.
* **Text-guided styling:** Reimagine materials, moods, or art styles with concise prompts.
* **Prompt expansion on demand:** Enable automatic prompt enrichment when you need extra detail.
* **Flexible output sizes:** Pick the resolution that best matches your downstream workflow.

#### Perfect for

* Marketing and design teams refining campaign visuals.
* E-commerce sellers upgrading product imagery.
* Content creators polishing thumbnails, covers, and posts.
* Artists experimenting with variations of their original work.

##### Billing rules

* Minimum charge: 1 image.
* Total cost = number of images × price per resolution.

#### How to use

1. Provide the image you want to refine. (Image dimensions must be in **(384, 5000)**)
2. Describe the desired adjustments in the prompt.
4. Choose the target resolution and submit.
5. Review the enhanced output and download the version you like best.

#### Pro tips

* Start with clear instructions about colors, lighting, or objects to adjust.
* Pair positive and negative prompts to control what should or should not appear.
* Keep source images at or above your target resolution for optimal fidelity.

#### Note

If you did not upload the image locally, please ensure that the image URL is accessible! A successfully accessible image will display a preview in the interface.

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#### Recommended Resolutions

_(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/wan-2.6/image-edit · Docs: https://www.atlascloud.ai/docs