"author:PierrunoYT" matching MCP servers:

• Replicate Ideogram V3 MCP

  PierrunoYT

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  Enables AI-powered image generation using the Ideogram V3 Balanced model via Replicate. Supports text-to-image generation, inpainting, style transfer with 60+ presets, custom resolutions, and reproducible outputs with local image storage.

  Last updated 7 months ago

  2

  MIT

• fal-minimax-image-01 MCP

  PierrunoYT

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  Enables high-quality AI image generation using MiniMax (Hailuo AI) text-to-image technology through fal.ai, supporting multiple aspect ratios, prompt optimization, and both synchronous and queue-based generation with automatic local image downloads.

  Last updated 7 months ago

  MIT

• FAL Reve MCP Server

  PierrunoYT

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  Enables high-quality text-to-image generation and image editing using FAL AI's Reve model. Supports batch processing, multiple aspect ratios and formats, with automatic local image downloads and both real-time and async processing modes.

  Last updated 4 months ago

  1

  MIT

• FAL Reve MCP Server

  PierrunoYT

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  Provides access to Reve text-to-image AI model for generating high-quality images with accurate text rendering and strong aesthetic quality. Automatically downloads generated images to local storage with support for multiple aspect ratios and output formats.

  Last updated 4 months ago

  1

  MIT

• SeedDream 4.0 Replicate MCP

  PierrunoYT

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  Enables high-quality image generation using Bytedance's SeedDream 4.0 model via Replicate, supporting bilingual prompts and high-resolution 2K outputs. It allows users to create photorealistic portraits and images with accurate text layout through simple natural language commands.

  Last updated 7 months ago

  MIT

• GPT-Image-1 MCP Server

  PierrunoYT

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  An MCP server that enables high-quality image generation using OpenAI's GPT-Image-1 model with support for style variations and HD quality. It automatically downloads and saves generated images to a local directory as PNG files while managing metadata and batch processing.

  Last updated 7 months ago

  MIT