# Seedream v4.5 Edit Sequential — Atlas Cloud API

> ByteDance advanced image editing model with batch generation support. Edit multiple images while preserving facial features and details.

This is the machine-readable API reference for **Seedream v4.5 Edit Sequential** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `bytedance/seedream-v4.5/edit-sequential`
- **Built by**: ByteDance
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/bytedance/seedream-v4.5/edit-sequential
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.036 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: "bytedance/seedream-v4.5/edit-sequential"`.
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 bytedance/seedream-v4.5/edit-sequential -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**: `bytedance/seedream-v4.5/edit-sequential`


## 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: `"bytedance/seedream-v4.5/edit-sequential"`

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

- **`images`** (`array[string]`, _optional_):
  The images to edit. A maximum of 10 reference images can be uploaded.
  - Min items: 1
  - Max items: 10

- **`size`** (`string`, _optional_):
  Output image size in 'WIDTH*HEIGHT' pixels. 16 preset resolutions at 2K and 4K tiers.
  - Default: `"2048*2048"`
  - Options: "2048*2048", "2304*1728", "1728*2304", "2848*1600", "1600*2848", "2496*1664", "1664*2496", "3136*1344", "4096*4096", "4704*3520", "3520*4704", "5504*3040", "3040*5504", "4992*3328", "3328*4992", "6240*2656"

- **`max_images`** (`integer`, _optional_):
  The maximum number of images that can be generated (up to 15). This value must align with the number of images specified in the prompt above.
  - Default: `1`
  - Min: 1
  - Max: 15

- **`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": "bytedance/seedream-v4.5/edit-sequential",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "bytedance/seedream-v4.5/edit-sequential",
  "prompt": "",
  "images": [
    ""
  ],
  "size": "2048*2048",
  "max_images": 1,
  "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”).

- **`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[string]`, _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": "bytedance/seedream-v4.5/edit-sequential",
  "prompt": "",
  "images": [
    ""
  ],
  "size": "2048*2048",
  "max_images": 1,
  "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/bytedance/seedream-v4.5/edit-sequential)

## About this model

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

### Seedream 4.5 : A professional, high-fidelity multimodal image generation model by ByteDance Seed


#### Model Card Overview

| Field | Description |
| :--- | :--- |
| **Model Name** | Seedream 4.5 |
| **Developed By** | ByteDance Seed |
| **Release Date** | December 2025 |
| **Model Type** | Multimodal Image Generation |
| **Related Links** | [Official Website](https://seed.bytedance.com/en/seedream4_5),[Technical Paper (arXiv)](https://arxiv.org/abs/2509.20427), [GitHub Repository](https://github.com/ByteDance-Seed) |


#### Introduction

Seedream 4.5 is a state-of-the-art, multimodal generative model engineered for scalability, efficiency, and professional-grade output. As an advanced version of Seedream 4.0, it is built upon a unified framework that seamlessly integrates text-to-image synthesis, sophisticated image editing, and complex multi-image composition. The model's primary design goal is to deliver professional visual creatives with exceptional consistency and fidelity. This is achieved through a significant scaling of the model architecture and training data, which enhances its ability to preserve reference details, render dense text and typography accurately, and understand nuanced user instructions.


#### Key Features & Innovations

- **Unified Multimodal Framework**: Integrates text-to-image (T2I), single-image editing, and multi-image composition into a single, cohesive model, allowing for diverse and flexible creative workflows.
- **High-Fidelity & High-Resolution Generation**: Capable of generating native high-resolution images (up to 4K), capturing fine details, realistic textures, and accurate lighting for professional use cases.
- **Advanced Image Editing**: Excels at preserving the core structure, lighting, and color tone of reference images while applying precise edits based on natural language instructions.
- **Enhanced Multi-Image Composition**: Accurately identifies and blends main subjects from multiple referenc

_(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/bytedance/seedream-v4.5/edit-sequential · Docs: https://www.atlascloud.ai/docs