# MiniMax H3 Image Text-to-Image — Atlas Cloud API > MiniMax's open-weight H3-Image model turns a text prompt into 1-10 natively high-resolution images (1K to about 20 MP, aspect ratios 1:3 to 3:1) with state-of-the-art instruction following and precise long-text rendering, at the cost-efficient Standard rate. This is the machine-readable API reference for **MiniMax H3 Image Text-to-Image** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `minimax/h3-image/text-to-image` - **Built by**: MiniMax - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/minimax/h3-image/text-to-image - **API key**: https://www.atlascloud.ai/console/api-keys - **Docs**: https://www.atlascloud.ai/docs ## Pricing on Atlas Cloud - $0.023 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: "minimax/h3-image/text-to-image"`. 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 minimax/h3-image/text-to-image -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**: `minimax/h3-image/text-to-image` ## 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: `"minimax/h3-image/text-to-image"` - **`prompt`** (`string`, _required_): Text description of the image to generate, up to 32,000 characters. Describe the subject and what it is doing first, then the layout and style through concrete details (color, material, lighting, texture). Put any exact text to render in quotes and state where it goes. With prompt expansion disabled, only about the first 4,096 tokens take effect. - **`size`** (`string`, _optional_): Output image size in width*height format (e.g., 2048*2048, 2720*1536, 4096*4096). The area (width × height) must be between 655,360 and 20,000,000 pixels and the aspect ratio (width:height) between 1:3 and 3:1, bounds inclusive, which limits each side to 468 to 7745 pixels; the size is used exactly as given, never scaled or rounded. Common sizes at the 2K / 4K tiers: 1:1 2048*2048 / 4096*4096; 4:3 2368*1760 / 4736*3552; 3:4 1760*2368 / 3552*4736; 16:9 2720*1536 / 5472*3072; 9:16 1536*2720 / 3072*5472; 3:1 3552*1184 / 7104*2368; 1:3 1184*3552 / 2368*7104. The special value "auto" (default) lets prompt expansion choose an aspect ratio that suits the content, at the 4K tier; it requires enable_prompt_expansion to be true. - Default: `"auto"` - Min: 468 - Max: 7745 - **`num_images`** (`integer`, _optional_): The number of images to generate, from 1 to 10. All images share the same prompt and settings, giving different variations of it. - Default: `1` - Min: 1 - Max: 10 - **`enable_prompt_expansion`** (`boolean`, _optional_): If set to true, the prompt optimizer rewrites the prompt into a detailed description before generation. If set to false, the prompt is used as is, only about its first 4,096 tokens take effect, and size must be an explicit width*height rather than auto. - Default: `true` - **`output_format`** (`string`, _optional_): Output image file format. Transparent backgrounds are not supported. - Default: `"jpeg"` - Options: "jpeg", "png", "webp" - **`output_compression`** (`integer`, _optional_): Compression quality for jpeg and webp output, from 0 to 100; higher values give better quality and larger files. Ignored for png. - Default: `95` - Min: 0 - Max: 100 - **`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` - **`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": "minimax/h3-image/text-to-image", "prompt": "" } ``` **Full Example**: ```json { "model": "minimax/h3-image/text-to-image", "prompt": "", "size": "auto", "num_images": 1, "enable_prompt_expansion": true, "output_format": "jpeg", "output_compression": 95, "enable_sync_mode": false, "enable_base64_output": false } ``` ### Output Schema The API returns the following output format: - **`code`** (`integer`, _optional_): Status code of the call; 200 on success. - **`message`** (`string`, _optional_): Status message of the call. - **`data`** (`object`, _optional_): The prediction: id, model, status, outputs, urls and created_at. Poll GET /api/v1/model/prediction/{request_id} with data.id until status is completed or failed. **Example Response**: ```json { "code": 0, "message": "", "data": {} } ``` ## 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": "minimax/h3-image/text-to-image", "prompt": "", "size": "auto", "num_images": 1, "enable_prompt_expansion": true, "output_format": "jpeg", "output_compression": 95, "enable_sync_mode": false, "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/minimax/h3-image/text-to-image) ## About this model _Vendor-supplied description. Any pricing or endpoint mentioned below refers to_ _other platforms — use the Atlas Cloud values above._ ### MiniMax H3-Image Text-to-Image **Developer:** MiniMax **Model ID:** `minimax/h3-image/text-to-image` **Underlying Model:** MiniMax-H3-Image **Release Date:** November 2026 #### Overview MiniMax H3-Image is MiniMax's open-weight image generation and editing model, built on the MiniMax H3 foundation model and released in November 2026. A single checkpoint handles text-to-image, reference-guided generation and instruction-based editing. MiniMax positions it as state of the art among open-weight image models, with image quality in the same class as Nano Banana 2.1, stronger editing, and the strongest instruction following of any open-source image model. It renders natively at about 16 megapixels, so a 4K (4096×4096) image comes straight out of the model without an upscaling pass. MiniMax reports a 4K image in under 10 seconds and a 2K edit in roughly 10–15 seconds, about three times faster than Nano Banana 2.1. This endpoint, `minimax/h3-image/text-to-image`, is the **text-to-image** path of **MiniMax-H3-Image**: you describe an image in natural language and the model generates 1 to 10 images at any size from 1K to about 20 MP and any aspect ratio from 1:3 to 3:1. An optional prompt optimizer expands short prompts into detailed scene descriptions, and the model renders long, precisely placed text, which makes it well suited to posters, menus, infographics and other dense layouts. This is the **Standard** model, which MiniMax rates at **1.5–2× the speed of mainstream alternatives** and which has the lower image-token rate of the two. A Highspeed variant with identical parameters is available when latency matters more than cost. AtlasCloud exposes the model family as four endpoints. Two underlying models, **MiniMax-H3-Image** (Standard) and **MiniMax-H3-Image-Highspeed**, are each split by input type into a text-to-image endpoint and an edit endpoint: _(Description truncated. Full text on the model page.)_ --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/minimax/h3-image/text-to-image · Docs: https://www.atlascloud.ai/docs