# Imagen4 Ultra — Atlas Cloud API > Google’s highest quality image generation model. This is the machine-readable API reference for **Imagen4 Ultra** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `google/imagen4-ultra` - **Built by**: Google - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/google/imagen4-ultra - **API key**: https://www.atlascloud.ai/console/api-keys - **Docs**: https://www.atlascloud.ai/docs ## Pricing on Atlas Cloud - $0.06 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: "google/imagen4-ultra"`. 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 google/imagen4-ultra -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**: `google/imagen4-ultra` ## 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: `"google/imagen4-ultra"` - **`prompt`** (`string`, _required_): The positive prompt for image generation. - Default: `"A serene landscape with mountains reflected in a crystal clear lake at sunset"` - **`negative_prompt`** (`string`, _optional_): The negative prompt for image generation. - Default: `""` - **`enable_prompt_expansion`** (`boolean`, _optional_): If set to true, the prompt optimizer will be enabled. - Default: `false` - **`aspect_ratio`** (`string`, _optional_): The aspect ratio of the generated image. - Default: `"1:1"` - Options: "1:1", "16:9", "9:16", "4:3", "3:4" - **`resolution`** (`string`, _optional_): The resolution of the output image. - Default: `"1k"` - Options: "1k", "2k" - **`num_images`** (`integer`, _optional_): The number of images to generate. - Default: `1` - Min: 1 - Max: 4 - **`seed`** (`integer`, _optional_): The random seed to use for the generation. - **`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` - **`enable_sync_mode`** (`boolean`, _optional_): If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. - Default: `false` **Required Parameters Example**: ```json { "model": "google/imagen4-ultra", "prompt": "A serene landscape with mountains reflected in a crystal clear lake at sunset" } ``` **Full Example**: ```json { "model": "google/imagen4-ultra", "prompt": "A serene landscape with mountains reflected in a crystal clear lake at sunset", "negative_prompt": "", "enable_prompt_expansion": false, "aspect_ratio": "1:1", "resolution": "1k", "num_images": 1, "seed": 0, "enable_base64_output": false, "enable_sync_mode": false } ``` ### Output Schema The API returns the following output format: - **`id`** (`string`, _optional_): Unique identifier for the prediction, the ID of the prediction to get. - **`urls`** (`object`, _optional_): Object containing related API endpoints. - **`model`** (`string`, _optional_): Model ID used for the prediction. - **`status`** (`string`, _optional_): Status of the task: created, processing, completed, or failed. - **`outputs`** (`array[string]`, _optional_): Array of URLs to the generated content (empty when status is not completed). - **`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. **Example Response**: ```json { "id": "", "urls": {}, "model": "", "status": "", "outputs": [ "" ], "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": "google/imagen4-ultra", "prompt": "A serene landscape with mountains reflected in a crystal clear lake at sunset", "negative_prompt": "", "enable_prompt_expansion": false, "aspect_ratio": "1:1", "resolution": "1k", "num_images": 1, "seed": 0, "enable_base64_output": false, "enable_sync_mode": 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/google/imagen4-ultra) ## About this model _Vendor-supplied description. Any pricing or endpoint mentioned below refers to_ _other platforms — use the Atlas Cloud values above._ #### Google’s Imagen 4 #### High-quality image generation model featuring: - Fine detail rendering: Superior clarity for intricate elements like fabrics, water droplets, and animal fur - Style versatility: Excels in both photorealistic and abstract styles - Resolution flexibility: Creates images in various aspect ratios up to 2K resolution - Typography improvements: Significantly enhanced text rendering capabilities for greeting cards, posters, and comics - Fast variant: Upcoming version promises up to 10x faster generation compared to Imagen 3 --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/google/imagen4-ultra · Docs: https://www.atlascloud.ai/docs