Skip to main content
Glama

mcp-image-generator

by GMKR
replicate.ts1.35 kB
import Replicate, { FileOutput } from "replicate"; export const useReplicate = async () => { const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN!, useFileOutput: true, }); async function generateImage(prompt: string, params?: Record<string, string | number>) { const model = process.env.MODEL_NAME || "black-forest-labs/flux-schnell" const output = await replicate.run(model as `${string}/${string}`, { input: { ...params, prompt, num_outputs: params?.numberOfImages, }, }) if (Array.isArray(output)) { const generatedImages = output as FileOutput[] const outputArray: { type: string, data: string, mimeType: string }[] = [] for (const pc of generatedImages) { const fileBlob = await pc.blob() const base64 = Buffer.from(await fileBlob.arrayBuffer()).toString('base64') outputArray.push({ type: "image", data: base64, mimeType: 'image/jpeg', }) } return outputArray } const generated = output as FileOutput const fileBlob = await generated.blob() const base64 = Buffer.from(await fileBlob.arrayBuffer()).toString('base64') return [{ type: "image", data: base64, mimeType: 'image/jpeg', }] } return { generateImage, } };

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/GMKR/mcp-imagegen'

If you have feedback or need assistance with the MCP directory API, please join our Discord server