# Qwen Image 3.0 Text To Image > AI model for generating image content ## Overview - **Model ID**: `qwen-image-3.0-pro-t2i` - **Category**: image - **Provider**: alibaba_cloud - **Source Type**: Closed Source Model - **Status**: model_ready - **Screenshot**: `https://assets.modelslab.ai/generations/c74036a0-1fe8-4b09-82ba-b8e0f61d09b0.webp` ## API Information This model can be used via our HTTP API. See the API documentation and usage examples below. ### Endpoint - **URL**: `https://modelslab.com/api/v7/images/text-to-image` - **Method**: POST ### Parameters - **`prompt`** (required): Describe in text how the image that need to be generated should appear. - Type: textarea - **`size`** (required): Select the aspect ratio - Type: select (options: 16:9, 4:3, 1:1, 3:4, 9:16) ## Usage Examples ### cURL ```bash curl --request POST \ --url https://modelslab.com/api/v7/images/text-to-image \ --header "Content-Type: application/json" \ --data '{ "key": "YOUR_API_KEY", "model_id": "qwen-image-3.0-pro-t2i", "prompt": "Ultra-realistic cinematic scene of a young man skydiving after jumping from an airplane at 15,000 feet, mid-air freefall position, arms spread wide, wind rushing past him, detailed clouds below, golden hour sunlight hitting his face, extreme realism, high dynamic range, 8K quality, sharp focus, dramatic aerial perspective.He is wearing a modern skydiving suit, and clearly written on his chest in bold stylish typography: “Qwen Image 3.0 Pro is now on Modelslab”.Highly detailed fabric texture, natural body motion, realistic hair movement in wind, cinematic lighting, action photography style, professional DSLR shot, dynamic composition, depth of field, ultra photorealistic. ", "size": "1472*1104" }' ``` ### Python ```python import requests response = requests.post( "https://modelslab.com/api/v7/images/text-to-image", headers={ "Content-Type": "application/json" }, json={ "key": "YOUR_API_KEY", "model_id": "qwen-image-3.0-pro-t2i", "prompt": "Ultra-realistic cinematic scene of a young man skydiving after jumping from an airplane at 15,000 feet, mid-air freefall position, arms spread wide, wind rushing past him, detailed clouds below, golden hour sunlight hitting his face, extreme realism, high dynamic range, 8K quality, sharp focus, dramatic aerial perspective.He is wearing a modern skydiving suit, and clearly written on his chest in bold stylish typography: “Qwen Image 3.0 Pro is now on Modelslab”.Highly detailed fabric texture, natural body motion, realistic hair movement in wind, cinematic lighting, action photography style, professional DSLR shot, dynamic composition, depth of field, ultra photorealistic. ", "size": "1472*1104" } ) print(response.json()) ``` ### JavaScript ```javascript fetch("https://modelslab.com/api/v7/images/text-to-image", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ "key": "YOUR_API_KEY", "model_id": "qwen-image-3.0-pro-t2i", "prompt": "Ultra-realistic cinematic scene of a young man skydiving after jumping from an airplane at 15,000 feet, mid-air freefall position, arms spread wide, wind rushing past him, detailed clouds below, golden hour sunlight hitting his face, extreme realism, high dynamic range, 8K quality, sharp focus, dramatic aerial perspective.He is wearing a modern skydiving suit, and clearly written on his chest in bold stylish typography: “Qwen Image 3.0 Pro is now on Modelslab”.Highly detailed fabric texture, natural body motion, realistic hair movement in wind, cinematic lighting, action photography style, professional DSLR shot, dynamic composition, depth of field, ultra photorealistic. ", "size": "1472*1104" }) }) .then(response => response.json()) .then(data => console.log(data)); ``` ## Integration Options ### CLI Install: `curl -fsSL https://modelslab.sh/install.sh | sh` or `brew install modelslab/tap/modelslab` ```bash modelslab auth login # Authenticate modelslab models search "qwen-image-3.0-pro-t2i" # Find this model modelslab models detail --id qwen-image-3.0-pro-t2i # Get model details modelslab generate image --prompt "..." --model qwen-image-3.0-pro-t2i # Generate with model modelslab config set generation.default_model qwen-image-3.0-pro-t2i # Set as default ``` - Website: https://modelslab.sh - GitHub: https://github.com/ModelsLab/modelslab-cli ### MCP Servers (Model Context Protocol) For Claude Code, Cursor, VS Code, Windsurf, and any MCP-compatible agent. - Generation: `https://modelslab.com/mcp/v7` (API key auth, 23 tools) - Agent Control Plane: `https://modelslab.com/mcp/agents` (Bearer token auth, 10 tools) Claude Code config (`~/.claude/settings.json`): ```json { "mcpServers": { "modelslab-v7": { "url": "https://modelslab.com/mcp/v7", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } } ``` - Documentation: https://docs.modelslab.com/mcp-web-api/overview ### Agent Skills Install skill files directly into AI coding agents: ```bash npx skills add modelslab/skills --all # All skills npx skills add modelslab/skills --skill image-generation # Specific skill npx skills add modelslab/skills --all -a claude-code -a cursor # Target agents ``` - GitHub: https://github.com/ModelsLab/skills - Documentation: https://docs.modelslab.com/agent-skills ### SDKs - Python: `pip install modelslab` - TypeScript: `npm install modelslab` - PHP: `composer require modelslab/modelslab` - Go: `go get github.com/modelslab/modelslab-go` - Dart: `dart pub add modelslab` ## Links - [Model Playground](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-image-3.0-pro-t2i) - [API Documentation](https://docs.modelslab.com) - [ModelsLab Platform](https://modelslab.com)