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qualityMCP for Replicate Flux Model. Generating images by prompts
Last updated 6 months ago
7
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MIT License
Replicate is a platform that lets you run machine learning models with a cloud API, without having to understand the underlying infrastructure or manage your own servers.
Why this server?
Enables image generation using Replicate's API with the Black Forest Labs' Flux Schnell model, allowing customization of aspect ratio, quality, and other parameters
Why this server?
Integrates with Replicate's API to generate images using the Flux 1.1 Pro and Ultra models for product designs that can be directly uploaded to Printify.
Why this server?
Allows running Replicate models through a Model Context Protocol (MCP) server implementation. Provides tools for searching models, creating predictions, tracking prediction status, and handling generated images.
Why this server?
Generates images using Replicate's Stable Diffusion model through their API. Requires a Replicate API token to authenticate and make requests to their image generation services.
Why this server?
Provides access to FLUX image generation models via Replicate's API, enabling text-to-image generation, image variations, inpainting/outpainting, depth-guided editing, and edge-guided generation from sketches across six different FLUX model variants.
Why this server?
Integrates with Replicate's 'black-forest-labs/flux-schnell' model to generate images from text prompts
Why this server?
Serves as a FastMCP server implementation for the Replicate API, providing resource-based access to AI model inference with a focus on image generation.
Why this server?
Generates images using Replicate's black-forest-labs/flux-schnell model by sending prompts to the Replicate API
Why this server?
Uses the Replicate API and Flux model to generate images based on text prompts with customizable parameters including aspect ratio, output format, and random seed.