# Product Visuals — Atlas Cloud API > A Workflow template: one product shot becomes a full set of studio-grade product visuals — scene, lighting and composition planned per image, then rendered as stills in your chosen ratio and resolution. Priced per image; a failed run is not charged. This is the machine-readable API reference for **Product Visuals** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `atlascloud/studio/product-visuals` - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/atlascloud/studio/product-visuals - **API key**: https://www.atlascloud.ai/console/api-keys - **Docs**: https://www.atlascloud.ai/docs ## Pricing on Atlas Cloud - $0.021 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: "atlascloud/studio/product-visuals"`. 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 atlascloud/studio/product-visuals -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**: `atlascloud/studio/product-visuals` ## 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: `"atlascloud/studio/product-visuals"` - **`product_image`** (`string`, _required_): 商品图，必填。 - **`model_image`** (`string`, _optional_): 模特图，选填。不传时如需人物由模型虚构。 - **`user_prompt`** (`string`, _required_): 品牌、亮点、期望风格。 - **`visual_type`** (`string`, _optional_): 玩法。留空由模型按商品判断。 - Default: `"product_hero"` - Options: "product_hero", "product_detail", "promo_poster" - **`ratio`** (`string`, _optional_): 画面比例。 - Default: `"9:16"` - Options: "1:1", "3:4", "4:3", "16:9", "9:16" - **`resolution`** (`string`, _optional_): 输出分辨率。4:3/3:4 无中间档，1:1 上限 2048。 - Default: `"2k"` - Options: "1k", "2k", "4k" - **`format`** (`string`, _optional_): 输出格式。 - Default: `"png"` - Options: "png", "jpeg" - **`count`** (`integer`, _optional_): 出图张数。价格按张数计。 - Default: `1` - Options: 1, 2, 3, 4 **Required Parameters Example**: ```json { "model": "atlascloud/studio/product-visuals", "product_image": "", "user_prompt": "" } ``` **Full Example**: ```json { "model": "atlascloud/studio/product-visuals", "product_image": "", "model_image": "", "user_prompt": "", "visual_type": "product_hero", "ratio": "9:16", "resolution": "2k", "format": "png", "count": 1 } ``` ### Output Schema The API returns the following output format: - **`id`** (`string`, _optional_): Task ID - **`model`** (`string`, _optional_): Model name - **`status`** (`string`, _optional_): processing / completed / failed - **`outputs`** (`array[string]`, _optional_): Result URLs. - **`error`** (`string`, _optional_): Failure reason; carries the failing node name. **Example Response**: ```json { "id": "", "model": "", "status": "", "outputs": [ "" ], "error": "" } ``` ## 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": "atlascloud/studio/product-visuals", "product_image": "", "model_image": "", "user_prompt": "", "visual_type": "product_hero", "ratio": "9:16", "resolution": "2k", "format": "png", "count": 1 }' # 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/atlascloud/studio/product-visuals) --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/atlascloud/studio/product-visuals · Docs: https://www.atlascloud.ai/docs