# Seedream v4.7 Edit — Atlas Cloud API > ByteDance Seedream 4.7 image editing model. Executes edit instructions precisely while preserving identity, lighting and local structure of the source image. This is the machine-readable API reference for **Seedream v4.7 Edit** 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` - **Built by**: ByteDance - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/bytedance/seedream-v4.7/edit - **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"`. 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 -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` ## 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"` - **`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" - **`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", "prompt": "", "images": [ "" ] } ``` **Full Example**: ```json { "model": "bytedance/seedream-v4.7/edit", "prompt": "", "images": [ "" ], "size": "2048*2048", "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", "prompt": "", "images": [ "" ], "size": "2048*2048", "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) ## 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** is the reference-driven editing variant of ByteDance Seed's Seedream 4.7 image model, exposed as the API model identifier `bytedance/seedream-v4.7/edit`. Supply one or more reference images together with a natural-language instruction, and the model returns a single edited result that applies the change while leaving everything else intact. Editing is where version 4.7's post-training gains are most visible. The model's stated advantage over Seedream 4.5 and 5.0 Lite is that it executes an edit instruction more faithfully while holding the source image's key information, subject consistency, and local structure stable — the property that determines whether an edited image ships as-is or goes back for manual repair. --- #### 2. Key Features & Innovations - **Edit Locality**: Applies the requested modification while preserving identity, lighting direction, color grading, and surrounding structure — the difference between an edit and a regeneration. - **Multi-Reference Composition**: Accepts up to 10 reference images and reasons across them jointly, resolving instructions that span inputs ("replace the garment in image 1 with the one from image 2"). - **Conversational Instructions**: Edits are described in plain language, with numbered references mapped to inputs automatically — no masks or region annotations required. - **Broad Input Format Support**: References may be JPEG, PNG, WEBP, BMP, TIFF, GIF, HEIC, or HEIF, supplied as URLs or Base64, up to 30 MB and 36M pixels each, with aspect ratios from 1:16 to 16:1. - **Full Resolution Range**: Output at 1K, 2K, or 4K, or at explicit `WIDTH*HEIGHT` dimensions, independent of the reference images' own dimensions. - **Efficiency at Editing Scale**: Retains the 4.0/4.2 generation's cost and performance profile, which matters most in editing workflows where every asset passes through several revision rounds. --- #### 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 · Docs: https://www.atlascloud.ai/docs