# MAI-Image 2.6 Flash Edit — Atlas Cloud API

> The fast, low-cost member of the MAI-Image-2.6 family, delivering the same instruction-driven editing and multi-reference composition as the flagship at less than half the cost for latency-sensitive, high-volume workloads.

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

- **Model ID**: `microsoft/mai-image-2.6-flash/edit`
- **Built by**: MICROSOFT
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/microsoft/mai-image-2.6-flash/edit
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.043 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: "microsoft/mai-image-2.6-flash/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 microsoft/mai-image-2.6-flash/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**: `microsoft/mai-image-2.6-flash/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: `"microsoft/mai-image-2.6-flash/edit"`

- **`prompt`** (`string`, _required_):
  Text prompt describing the edit to perform on the input images. Maximum context length: 32,000 tokens.

- **`reference_images`** (`array[string]`, _required_):
  The images to edit, also used as content, layout or style references. Accepts 1 to 5 images. Must be in JPEG or PNG format. Supports both a public URL and a base64-encoded image for each item. The total pixel size of each image should be less than 1,376,256 pixels.
  - Min items: 1
  - Max items: 5

- **`size`** (`string`, _optional_):
  Controls the aspect ratio of the edited image. "default" preserves the aspect ratio of the input image, and "auto" lets the model evaluate the prompt and the provided image inputs and select the output aspect ratio it determines is best suited to the requested content, composition, and framing.
  - Default: `"default"`
  - Options: "default", "auto"

- **`enable_web_search`** (`boolean`, _optional_):
  If enabled, the model will use web search to ground the generation with real-time information. This can improve accuracy for prompts involving real-world entities, places, or events.
  - 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`

- **`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`



**Required Parameters Example**:

```json
{
  "model": "microsoft/mai-image-2.6-flash/edit",
  "prompt": "",
  "reference_images": [
    ""
  ]
}
```


**Full Example**:

```json
{
  "model": "microsoft/mai-image-2.6-flash/edit",
  "prompt": "",
  "reference_images": [
    ""
  ],
  "size": "default",
  "enable_web_search": false,
  "enable_base64_output": false,
  "enable_sync_mode": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  HTTP status code of the response.

- **`message`** (`string`, _optional_):
  Human-readable message; non-empty on failure.

- **`data`** (`object`, _optional_):
  - Properties:
    - **`id`** (`string`, _optional_):
      Unique identifier for the prediction.

    - **`model`** (`string`, _optional_):
      Model ID used for the prediction.

    - **`outputs`** (`array[string]`, _optional_):
      Array of URLs to the generated content. Null when status is not completed.

    - **`urls`** (`object`, _optional_):
      Object containing related API endpoints.
      - Properties:
        - **`get`** (`string`, _optional_):
          URL to poll for the prediction result.


    - **`status`** (`string`, _optional_):
      Status of the task: created, processing, completed, timeout, or failed.

    - **`created_at`** (`string`, _optional_):
      ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

    - **`error`** (`string`, _optional_):
      Error message if the task failed, empty string otherwise.

    - **`error_code`** (`integer`, _optional_):
      Error code if the task failed.

    - **`executionTime`** (`number`, _optional_):
      Total execution time in milliseconds.

    - **`timings`** (`object`, _optional_):
      Detailed timing breakdown.
      - Properties:
        - **`inference`** (`number`, _optional_):
          Inference time in milliseconds.





**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {
    "id": "",
    "model": "",
    "outputs": [
      ""
    ],
    "urls": {
      "get": ""
    },
    "status": "",
    "created_at": "",
    "error": "",
    "error_code": 0,
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  }
}
```


## 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": "microsoft/mai-image-2.6-flash/edit",
  "prompt": "",
  "reference_images": [
    ""
  ],
  "size": "default",
  "enable_web_search": false,
  "enable_base64_output": false,
  "enable_sync_mode": 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/microsoft/mai-image-2.6-flash/edit)

## About this model

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

### MAI-Image-2.6-Flash Edit (Image-to-Image)

#### Overview

**MAI-Image-2.6-Flash** is the fast, low-cost member of Microsoft AI's MAI-Image-2.6 family. It carries the same generation and editing capabilities as the flagship MAI-Image-2.6 model, tuned instead for latency-sensitive, high-throughput production workloads. This endpoint exposes its **image-to-image** path: you supply 1–5 reference images plus a natural language instruction, and the model returns an edited or newly composed image.

MAI-Image-2.6-Flash is a diffusion-based generative model that progressively refines an image from the prompt and the supplied references. It handles both surgical edits — remove, replace, recolor, reposition, inpaint, fix text, clean up artifacts — and **multi-reference composition**, where people, products, styles, and scenes from several different images are brought together into one coherent result. Microsoft reports that it generates images **2.8× faster than GPT-Image-2-Medium while delivering 72% greater efficiency**, at **less than half the cost** of the flagship 2.6 model, and it keeps the capabilities new to the 2.6 generation: **up to five reference images per request**, **model-directed aspect ratio selection**, and **web-grounded generation**.

`microsoft/mai-image-2.6-flash/edit` and `microsoft/mai-image-2.6-flash/text-to-image` are two entry points into the *same* underlying model, split by input type. Use this edit endpoint whenever you have reference imagery; use the text-to-image endpoint when you have only a prompt.

#### Key Capabilities

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