# FLUX.2 Pro Text-to-Image — Atlas Cloud API > FLUX.2 Pro is a state-of-the-art text-to-image generation model that raises the bar for photorealistic quality, prompt fidelity, and production reliability. Built on a multimodal flow matching architecture, it delivers up to 4MP coherent scenes with realistic lighting, spatial logic, and fine detail that close the gap with professional photography. This is the machine-readable API reference for **FLUX.2 Pro Text-to-Image** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `black-forest-labs/flux-2-pro/text-to-image` - **Built by**: Black Forest Labs - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/black-forest-labs/flux-2-pro/text-to-image - **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: "black-forest-labs/flux-2-pro/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 black-forest-labs/flux-2-pro/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**: `black-forest-labs/flux-2-pro/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: `"black-forest-labs/flux-2-pro/text-to-image"` - **`prompt`** (`string`, _required_): Text prompt for image generation. - **`size`** (`string`, _optional_): Image dimensions in width*height format (e.g., 1024*1024, 1280*720), If not specified, the model will determine the optimal dimension. - Default: `"1024*1024"` - Min: 256 - Max: 2048 - **`output_format`** (`string`, _optional_): The format of the output image. - Default: `"jpeg"` - Options: "jpeg", "png" - **`safety_tolerance`** (`integer`, _optional_): Tolerance level for input and output moderation. Between 0 and 5, 0 being most strict, 5 being least strict. - Default: `2` - Min: 0 - Max: 5 - **`seed`** (`integer`, _optional_): Random seed for reproducibility. Use -1 for a random seed. - Default: `-1` - **`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": "black-forest-labs/flux-2-pro/text-to-image", "prompt": "" } ``` **Full Example**: ```json { "model": "black-forest-labs/flux-2-pro/text-to-image", "prompt": "", "size": "1024*1024", "output_format": "jpeg", "safety_tolerance": 2, "seed": -1, "enable_base64_output": false, "enable_sync_mode": false } ``` ### Output Schema The API returns the following output format: - **`code`** (`integer`, _optional_): HTTP status code of the response. - **`message`** (`string`, _optional_): Human-readable message; non-empty on failure. - **`data`** (`object`, _optional_): - Properties: - **`id`** (`string`, _optional_): Unique identifier for the prediction. - **`model`** (`string`, _optional_): Model ID used for the prediction. - **`outputs`** (`array[string]`, _optional_): Array of URLs to the generated content. Null when status is not completed. - **`urls`** (`object`, _optional_): Object containing related API endpoints. - Properties: - **`get`** (`string`, _optional_): URL to poll for the prediction result. - **`status`** (`string`, _optional_): Status of the task: created, processing, completed, timeout, or failed. - **`created_at`** (`string`, _optional_): ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z"). - **`error`** (`string`, _optional_): Error message if the task failed, empty string otherwise. - **`error_code`** (`integer`, _optional_): Error code if the task failed. - **`executionTime`** (`number`, _optional_): Total execution time in milliseconds. - **`timings`** (`object`, _optional_): Detailed timing breakdown. - Properties: - **`inference`** (`number`, _optional_): Inference time in milliseconds. **Example Response**: ```json { "code": 0, "message": "", "data": { "id": "", "model": "", "outputs": [ "" ], "urls": { "get": "" }, "status": "", "created_at": "", "error": "", "error_code": 0, "executionTime": 0, "timings": { "inference": 0 } } } ``` ## 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": "black-forest-labs/flux-2-pro/text-to-image", "prompt": "", "size": "1024*1024", "output_format": "jpeg", "safety_tolerance": 2, "seed": -1, "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/black-forest-labs/flux-2-pro/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._ ### FLUX.2 Pro — Text to Image **Developer:** Black Forest Labs **Model ID:** `black-forest-labs/flux-2-pro/text-to-image` **Release Date:** November 25, 2025 #### Overview FLUX.2 Pro is a state-of-the-art text-to-image generation model that raises the bar for photorealistic quality, prompt fidelity, and production reliability. Built on a multimodal flow matching architecture, it delivers up to 4MP coherent scenes with realistic lighting, spatial logic, and fine detail that close the gap with professional photography. FLUX.2 Pro is designed for real-world production pipelines, combining maximum quality with practical generation speeds — typically under 10 seconds — making it suitable for high-throughput commercial workflows. #### Key Capabilities - **Production-grade quality up to 4MP** — High-fidelity, coherent scenes with realistic lighting, spatial logic, and fine detail. - **Brand-accurate results** — Exact hex-color matching, reliable typography, and structured controls (JSON, pose guidance) for fewer manual fixes and stronger brand compliance. - **Strong prompt fidelity** — Precise positioning, physics-aware lighting, and composition control with support for up to 32K tokens for long and detailed prompts. - **Balanced speed and quality** — Optimized to deliver maximum quality while keeping generation times practical, enabling real-world production pipelines. #### Use Cases - **Commercial advertising** — High-quality product visuals, campaign assets, and promotional imagery at scale. - **Brand asset creation** — Logos, signage, and branded content with hex-code color accuracy and typographic precision. - **Creative production** — Concept art, editorial illustration, and photorealistic scene generation. - **Rapid prototyping** — Fast iteration on visual ideas without manual editing overhead. #### Input Parameters _(Description truncated. Full text on the model page.)_ --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/black-forest-labs/flux-2-pro/text-to-image · Docs: https://www.atlascloud.ai/docs