ModelScope Qwen-Image

1

Integrates with ModelScope's Qwen-Image model to generate images from text prompts, returning base64-encoded results with automatic format detection and error handling for multilingual content creation.

Category Models
Added Mar 28, 2026
Views 70

About

This MCP server provides text-to-image generation capabilities through integration with ModelScope's Qwen-Image model, built by zym9863 as a Python-based implementation using the MCP framework. The server offers a single tool for generating images from text prompts, handling the API communication with ModelScope's hosted Qwen-Image service and returning generated images as base64-encoded data with automatic format detection and error handling. Built with dependencies including Pillow for image processing, python-dotenv for configuration management, and the official MCP Python SDK, it features environment-based API key configuration and is designed for AI assistants and applications that need programmatic access to Chinese-developed text-to-image generation models, particularly useful for multilingual content creation and scenarios requiring alternatives to Western AI image generation services.

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