ideogram-deploy-integration

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Deploy Ideogram integrations to Vercel, Cloud Run, and Docker platforms. Use when deploying Ideogram-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy ideogram", "ideogram Vercel", "ideogram production deploy", "ideogram Cloud Run", "ideogram Docker".

DevOps & Infrastructure 2,266 stars 315 forks Updated today MIT

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# Ideogram Deploy Integration ## Overview Deploy Ideogram image generation endpoints to Vercel, Cloud Run, or Docker. Key concerns: API key security, function timeouts (generation takes 5-15s), image persistence (URLs expire), and CDN integration for serving generated images. ## Prerequisites - `IDEOGRAM_API_KEY` configured - Cloud storage for generated images (S3, GCS, or R2) - Platform CLI installed (vercel, gcloud, or docker) ## Instructions ### Step 1: API Endpoint (Next.js / Vercel) ```typescript // app/api/generate/route.ts import { NextRequest, NextResponse } from "next/server"; import { S3Client, PutObjectCommand } from "@aws-sdk/client-s3"; const s3 = new S3Client({ region: process.env.AWS_REGION }); export async function POST(req: NextRequest) { const { prompt, style, aspectRatio } = await req.json(); if (!prompt || prompt.length > 10000) { return NextResponse.json({ error: "Invalid prompt" }, { status: 400 }); } // Generate image via Ideogram const response = await fetch("https://api.ideogram.ai/generate", { method: "POST", headers: { "Api-Key": process.env.IDEOGRAM_API_KEY!, "Content-Type": "application/json", }, body: JSON.stringify({ image_request: { prompt, model: "V_2", style_type: style || "AUTO", aspect_ratio: aspectRatio || "ASPECT_1_1", magic_prompt_option: "AUTO", }, }), }); if (!response.ok) { const err = await response.text(); return Ne...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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