# Flux Kontext Dev — Atlas Cloud API

> FLUX.1 Kontext [dev] is a development version of the state-of-the-art image editing model that lets you edit images using text prompts. It makes editing intuitive by understanding the relationship between visuals and language.

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

- **Model ID**: `black-forest-labs/flux-kontext-dev`
- **Built by**: Black Forest Labs
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/black-forest-labs/flux-kontext-dev
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.025 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: "black-forest-labs/flux-kontext-dev"`.
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 black-forest-labs/flux-kontext-dev -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**: `black-forest-labs/flux-kontext-dev`


## 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: `"black-forest-labs/flux-kontext-dev"`

- **`prompt`** (`string`, _required_):
  The prompt to generate an image from.
  - Default: `"Change the car color to red."`

- **`image`** (`string`, _optional_):
  The image to generate an image from.
  - Default: `"https://static.atlascloud.ai/media/images/1750940187685254815_W4yPaBQU.jpg"`

- **`size`** (`string`, _optional_):
  The size of the generated image.

- **`num_inference_steps`** (`integer`, _optional_):
  The number of inference steps to perform.
  - Default: `28`
  - Min: 1
  - Max: 50

- **`guidance_scale`** (`number`, _optional_):
  Flux embedded guidance strength. Higher values make the image follow the prompt more closely. This is not True CFG and does not require a negative prompt. Default 2.5.
  - Default: `2.5`
  - Min: 1
  - Max: 20

- **`num_images`** (`integer`, _optional_):
  The number of images to generate.
  - Default: `1`
  - Min: 1
  - Max: 4

- **`seed`** (`integer`, _optional_):
  
            The same seed and the same prompt given to the same version of the model
            will output the same image every time.
        
  - Default: `-1`

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL.
  - Default: `false`

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled.
  - Default: `true`



**Required Parameters Example**:

```json
{
  "model": "black-forest-labs/flux-kontext-dev",
  "prompt": "Change the car color to red."
}
```


**Full Example**:

```json
{
  "model": "black-forest-labs/flux-kontext-dev",
  "prompt": "Change the car color to red.",
  "image": "https://static.atlascloud.ai/media/images/1750940187685254815_W4yPaBQU.jpg",
  "size": "",
  "num_inference_steps": 28,
  "guidance_scale": 2.5,
  "num_images": 1,
  "seed": -1,
  "enable_base64_output": false,
  "enable_safety_checker": true
}
```


### Output Schema

The API returns the following output format:


- **`id`** (`string`, _optional_):
  Unique prediction ID

- **`logs`** (`string`, _optional_):
  Execution logs

- **`urls`** (`string`, _optional_):

- **`input`** (`string`, _optional_):

- **`model`** (`string`, _optional_):
  Model name

- **`output`** (`array[string]`, _optional_):
  Generated output URLs

- **`status`** (`string`, _optional_):
  Prediction status
  - Options: "queued", "processing", "succeeded", "failed"

- **`created_at`** (`string`, _optional_):
  Creation timestamp

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  NSFW content detection results



**Example Response**:

```json
{
  "id": "",
  "logs": "",
  "urls": null,
  "input": null,
  "model": "",
  "output": [
    ""
  ],
  "status": "queued",
  "created_at": "",
  "has_nsfw_contents": []
}
```


## 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": "black-forest-labs/flux-kontext-dev",
  "prompt": "Change the car color to red.",
  "image": "https://static.atlascloud.ai/media/images/1750940187685254815_W4yPaBQU.jpg",
  "size": "",
  "num_inference_steps": 28,
  "guidance_scale": 2.5,
  "num_images": 1,
  "seed": -1,
  "enable_base64_output": false,
  "enable_safety_checker": true
}'

# 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/black-forest-labs/flux-kontext-dev)

## About this model

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

### FLUX-Kontext-Dev

FLUX.1 Kontext \[dev\] is a development version of the state-of-the-art image editing model by Black Forest Labs that lets you edit images using text prompts. It makes editing intuitive by understanding the relationship between visuals and language. You can make precise changes to objects, scenes, and layout — all without disrupting the composition.

#### Key Features

*   **Context-Aware Editing**: Intelligent understanding of image semantics for precise modifications that preserve natural aesthetics.
*   **Lightning Fast**: Optimized neural architecture delivers professional results in seconds for real-time workflows.
*   **Precision Control**: Granular control over transformations with intuitive parameters and fine-tuning capabilities.
*   **SOTA Quality**: State-of-the-art results surpassing existing models across all quality benchmarks.

#### Use Cases

*   **Style Transfer**: Convert photos to different art styles, like watercolor, oil painting and sketches.
*   **Object/Clothing Changes**: Modify hairstyles, add accessories, change colors.
*   **Text Editing**: Replace text in signs, posters, and labels.
*   **Background Swapping**: Change environments while preserving subjects.

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/black-forest-labs/flux-kontext-dev · Docs: https://www.atlascloud.ai/docs