# Krea Flux AI - Prompt to Image Generator (`dev00/krea-flux-ai-image-generator`) Actor Generate high-resolution AI images from text prompts using the FLUX.1 model architecture on Krea AI. Keywords: krea ai api, flux image generator, text to image, ai art generator, stable diffusion, midjourney. - **URL**: https://apify.com/dev00/krea-flux-ai-image-generator.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** AI, Agents, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 image generateds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Krea Flux AI Image Generator The **Krea Flux AI Image Generator** is a fast, high-quality Apify Actor that generates ultra-realistic artwork, photorealistic scenes, and creative graphics from text prompts using the FLUX.1 model architecture on Krea AI. --- ### 🌟 Key Features * 🎨 **FLUX.1 Model Architecture**: High-fidelity details, accurate prompt adherence, and photorealism. * 🎲 **Custom Seeds**: Pass custom seeds for deterministic, repeatable image generation. * 📐 **Flexible Resolutions**: Choose from standard sizes like `1024x1024`, `768x1024`, or `1024x768`. * ⚡ **Fast Execution**: Image generations complete in ~8 to 14 seconds. --- ### 📥 Input Parameters | Parameter | Type | Required | Description | Example | | :--- | :--- | :--- | :--- | :--- | | `prompt` | String | Yes | Text description of the image to generate | `"A majestic lion wearing a golden crown"` | | `seed` | Integer | No | Optional seed for reproducible output | `42` | | `size` | String | No | Image resolution format | `"1024x1024"` | #### Input Example (JSON): ```json { "prompt": "A futuristic cyberpunk city with flying cars at night", "seed": 42, "size": "1024x1024" } ```` *** ### 📤 Output Format Output data is pushed to the default Dataset and stored as JSON in the Key-Value store under key `OUTPUT`. #### Output JSON Example: ```json { "success": true, "image": "https://gen.krea.ai/images/e2ba00d7-3108-4261-8cfc-336053b791e4.png", "seed": 42, "width": 1024, "height": 1024 } ``` *** ### 🔍 Keywords & Tags `krea ai api`, `flux image generator`, `text to image`, `ai art generator`, `flux1 api`, `stable diffusion`, `midjourney alternative`, `dall-e 3 api`, `ai image creator`, `automated graphic generator`. # Actor input Schema ## `prompt` (type: `string`): Text description of the image to generate. ## `seed` (type: `integer`): Optional integer seed for deterministic image generation. ## `size` (type: `string`): Optional image resolution format (e.g. 1024x1024, 768x1024). ## Actor input object example ```json { "prompt": "A futuristic cyberpunk city with flying cars at night", "seed": 42, "size": "1024x1024" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "prompt": "A majestic lion wearing a golden crown in a mystical forest", "seed": 42, "size": "1024x1024" }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/krea-flux-ai-image-generator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "prompt": "A majestic lion wearing a golden crown in a mystical forest", "seed": 42, "size": "1024x1024", } # Run the Actor and wait for it to finish run = client.actor("dev00/krea-flux-ai-image-generator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "prompt": "A majestic lion wearing a golden crown in a mystical forest", "seed": 42, "size": "1024x1024" }' | apify call dev00/krea-flux-ai-image-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/krea-flux-ai-image-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Krea Flux AI - Prompt to Image Generator", "description": "Generate high-resolution AI images from text prompts using the FLUX.1 model architecture on Krea AI. Keywords: krea ai api, flux image generator, text to image, ai art generator, stable diffusion, midjourney.", "version": "1.0", "x-build-id": "leukLHacqO9eZlfkc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~krea-flux-ai-image-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-krea-flux-ai-image-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~krea-flux-ai-image-generator/runs": { "post": { "operationId": "runs-sync-dev00-krea-flux-ai-image-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~krea-flux-ai-image-generator/run-sync": { "post": { "operationId": "run-sync-dev00-krea-flux-ai-image-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "prompt" ], "properties": { "prompt": { "title": "Prompt", "type": "string", "description": "Text description of the image to generate." }, "seed": { "title": "Seed", "type": "integer", "description": "Optional integer seed for deterministic image generation." }, "size": { "title": "Size", "type": "string", "description": "Optional image resolution format (e.g. 1024x1024, 768x1024)." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```