# Seedream v4.7 Edit Sequential — Atlas Cloud API > ByteDance Seedream 4.7 image editing model with batch generation support. Produce a coherent set of edited images from reference inputs. This is the machine-readable API reference for **Seedream v4.7 Edit Sequential** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `bytedance/seedream-v4.7/edit-sequential` - **Built by**: ByteDance - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/bytedance/seedream-v4.7/edit-sequential - **API key**: https://www.atlascloud.ai/console/api-keys - **Docs**: https://www.atlascloud.ai/docs ## Pricing on Atlas Cloud - $0.03 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-v4.7/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-v4.7/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-v4.7/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-v4.7/edit-sequential"` - **`prompt`** (`string`, _required_): The positive prompt for the generation. - **`images`** (`array[string]`, _required_): The reference 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. Presets cover the 1K, 2K and 4K tiers. Total pixels (width x height) must be between 921,600 and 16,777,216; aspect ratio must be between 1:16 and 16:1. - 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", "1024*1024", "1280*720", "720*1280", "1248*832", "832*1248", "1568*672" - **`num_images`** (`integer`, _optional_): The maximum number of images to generate. The number of reference images plus the number of generated images must not exceed 15 - if the total is exceeded the model silently generates fewer images than requested. This value must align with the number of images specified in the prompt above. - Default: `1` - Min: 1 - Max: 14 - **`prompt_expansion_mode`** (`string`, _optional_): Prompt expansion mode. 'standard' favours output quality; 'fast' lowers latency with a possible small quality trade-off. - Default: `"standard"` - Options: "standard", "fast" - **`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-v4.7/edit-sequential", "prompt": "", "images": [ "" ] } ``` **Full Example**: ```json { "model": "bytedance/seedream-v4.7/edit-sequential", "prompt": "", "images": [ "" ], "size": "2048*2048", "num_images": 1, "prompt_expansion_mode": "standard", "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”). - **`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": "", "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-v4.7/edit-sequential", "prompt": "", "images": [ "" ], "size": "2048*2048", "num_images": 1, "prompt_expansion_mode": "standard", "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-v4.7/edit-sequential) ## About this model _Vendor-supplied description. Any pricing or endpoint mentioned below refers to_ _other platforms — use the Atlas Cloud values above._ #### 1. Introduction **Seedream 4.7 Edit Sequential** combines ByteDance Seed's Seedream 4.7 reference-based editing with group generation, exposed as the API model identifier `bytedance/seedream-v4.7/edit-sequential`. Given reference images and a natural-language instruction, it returns a coherent *set* of edited results rather than one — the same subject across several variations, all consistent with the references and with each other. This is the variant for work where one source asset must yield a family of outputs: a model photographed in several outfits, a product staged in several environments, a character carried through several panels. Consistency is enforced in two directions at once — against the reference inputs, and across the generated set. --- #### 2. Key Features & Innovations - **Reference-Anchored Sets**: Generates multiple edited images that stay faithful to the supplied references while varying along the axis the prompt describes. - **Dual Consistency**: Holds identity and structure stable against the source images, and holds style, palette, and lighting stable across the generated group. - **Multi-Reference Input**: Accepts up to 10 reference images per request as URLs or Base64, reasoning across them jointly. - **Combined Request Budget**: Reference images and generated images share a single ceiling of 15 per request — a request with one reference can return up to 14 images. Requests exceeding the budget silently return fewer images rather than failing, so keep the sum at or below 15. - **Progressive Delivery with Fault Isolation**: Images stream back as they complete, and a single moderation rejection does not discard the rest of the set. - **Full Resolution Range**: Every image in the set may be generated at 1K, 2K, or 4K, or at explicit `WIDTH*HEIGHT` dimensions. --- #### 3. Model Architecture & Technical Details _(Description truncated. Full text on the model page.)_ --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/bytedance/seedream-v4.7/edit-sequential · Docs: https://www.atlascloud.ai/docs