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mcp-hfspace MCP Server

by xiyuefox
npmGitHub
MIT License
177
  • Apple
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FLUX_1-schnell-infer

Generate high-quality images from text prompts using customizable parameters like dimensions, seed values, and inference steps via the Hugging Face Spaces integration in the MCP server.

Instructions

Call the FLUX.1-schnell endpoint /infer

Input Schema

NameRequiredDescriptionDefault
heightNonumeric value between 256 and 2048
num_inference_stepsNonumeric value between 1 and 50
promptYesPrompt
randomize_seedNoRandomize seed
seedNonumeric value between 0 and 2147483647
widthNonumeric value between 256 and 2048

Input Schema (JSON Schema)

{ "properties": { "height": { "default": 1024, "description": "numeric value between 256 and 2048", "examples": [ 256 ], "maximum": 2048, "minimum": 256, "type": "number" }, "num_inference_steps": { "default": 4, "description": "numeric value between 1 and 50", "examples": [ 1 ], "maximum": 50, "minimum": 1, "type": "number" }, "prompt": { "description": "Prompt", "examples": [ "Hello!!" ], "type": "string" }, "randomize_seed": { "default": true, "description": "Randomize seed", "examples": [ true ], "type": "boolean" }, "seed": { "default": 0, "description": "numeric value between 0 and 2147483647", "maximum": 2147483647, "minimum": 0, "type": "number" }, "width": { "default": 1024, "description": "numeric value between 256 and 2048", "examples": [ 256 ], "maximum": 2048, "minimum": 256, "type": "number" } }, "required": [ "prompt" ], "type": "object" }
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