ideogram-deploy-integration
Deploy Ideogram integrations to Vercel, Fly.io, and Cloud Run 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 Fly.io".
Install
mkdir -p .claude/skills/ideogram-deploy-integration && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5330" && unzip -o skill.zip -d .claude/skills/ideogram-deploy-integration && rm skill.zipInstalls to .claude/skills/ideogram-deploy-integration
About this skill
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_KEYconfigured- Cloud storage for generated images (S3, GCS, or R2)
- Platform CLI installed (vercel, gcloud, or docker)
Instructions
Step 1: API Endpoint (Next.js / Vercel)
// 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 NextResponse.json({ error: `Generation failed: ${response.status}` }, { status: 502 });
}
const result = await response.json();
const image = result.data[0];
// Download and persist to S3 (Ideogram URLs expire)
const imgResponse = await fetch(image.url);
const buffer = Buffer.from(await imgResponse.arrayBuffer());
const key = `generated/${image.seed}-${Date.now()}.png`;
await s3.send(new PutObjectCommand({
Bucket: process.env.S3_BUCKET!,
Key: key,
Body: buffer,
ContentType: "image/png",
}));
return NextResponse.json({
url: `https://${process.env.CDN_DOMAIN}/${key}`,
seed: image.seed,
resolution: image.resolution,
style: image.style_type,
});
}
export const maxDuration = 60; // Vercel function timeout
Step 2: Vercel Configuration
{
"functions": {
"app/api/generate/route.ts": {
"maxDuration": 60
}
},
"env": {
"IDEOGRAM_API_KEY": "@ideogram-api-key"
}
}
set -euo pipefail
# Set secrets
vercel env add IDEOGRAM_API_KEY production
vercel env add S3_BUCKET production
vercel env add CDN_DOMAIN production
Step 3: Cloud Run Deployment
FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
EXPOSE 3000
# Cloud Run sets PORT automatically
CMD ["node", "dist/server.js"]
set -euo pipefail
# Store API key in Secret Manager
echo -n "$IDEOGRAM_API_KEY" | gcloud secrets create ideogram-api-key --data-file=-
# Deploy with secret mount
gcloud run deploy ideogram-service \
--image=gcr.io/$PROJECT_ID/ideogram-service \
--set-secrets=IDEOGRAM_API_KEY=ideogram-api-key:latest \
--timeout=120 \
--memory=512Mi \
--max-instances=10 \
--allow-unauthenticated
Step 4: Docker Compose (Self-Hosted)
# docker-compose.yml
services:
ideogram-api:
build: .
ports:
- "3000:3000"
environment:
- IDEOGRAM_API_KEY=${IDEOGRAM_API_KEY}
- S3_BUCKET=${S3_BUCKET}
- NODE_ENV=production
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3
restart: unless-stopped
Step 5: Health Check Endpoint
// app/api/health/route.ts
export async function GET() {
const checks = {
ideogram: {
configured: !!process.env.IDEOGRAM_API_KEY,
keyLength: process.env.IDEOGRAM_API_KEY?.length ?? 0,
},
storage: {
configured: !!process.env.S3_BUCKET,
},
};
const healthy = checks.ideogram.configured && checks.storage.configured;
return Response.json({
status: healthy ? "healthy" : "degraded",
checks,
}, { status: healthy ? 200 : 503 });
}
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Function timeout | Generation takes 5-15s | Set timeout to 60s+ |
| Content filtered | Prompt policy violation | Return 422 with user-friendly message |
| Storage upload fails | Bad credentials | Verify S3/GCS permissions |
| Rate limited | Too many concurrent users | Queue generation jobs with BullMQ |
| Expired URL | Late download | Download immediately in same request |
Output
- Deployed API endpoint with image generation
- Images persisted to durable storage with CDN URLs
- Health check endpoint for monitoring
- Platform-specific configuration files
Resources
Next Steps
For event-driven patterns, see ideogram-webhooks-events.
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