Ideogram deploy integration
425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill ideogram-deploy-integrationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
'Deploy Ideogram integrations to Vercel, Cloud Run, and Docker platforms.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
5.7 KB, as published. Nobody here has run it
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.