Your codegen does not know unit economics
LLM scaffolds optimize for working demos, not cheap Amazon Titan Image G1 v2 usage.
CI & fixtures · Amazon Titan Image G1 v2
If your pipeline can spend money on Bedrock, it will—unless stock is the default. Verification pipelines should not inherit creative Titan habits from demos.
LLM scaffolds optimize for working demos, not cheap Amazon Titan Image G1 v2 usage.
Dev servers re-run pipelines that casually call Amazon Titan Image G1 v2.
Gray boxes look amateur; stock via a flat plan looks shipped without Amazon Titan Image G1 v2 rates.
When you finally need Amazon Titan Image G1 v2, you still have runway because fixtures used stock.
Nightly “refresh demo data” jobs are better as Epochal catalog re-queries with stable sort, not re-prompts to Amazon Titan Image G1 v2.
When the image does not need a unique Amazon Titan Image G1 v2 synthesis, use Epochal Stock Developer Image API: a single plan at $50 USD/month with no free tier and no per-image fee. You get full catalog access, 30 requests/minute per account (all keys share the bucket), and unlimited original downloads with one concurrent transfer. Authenticate server-side only with a Bearer key—never expose secrets in browser JavaScript. Keep Amazon Titan Image G1 v2 for finals that must be generative; let Epochal cover prototypes, fixtures, and placeholders.
curl -sS "https://epochalstock.com/api/v1/images?tags=workspace,startup&limit=12" \
-H "Authorization: Bearer $EPOCHAL_API_KEY"Keys stay on your server. Never pass ?api_key= or ship secrets to the browser.
Pulled server-side from Epochal tags: server, technology, office. Previews are cached; API keys never hit the browser.






For non-unique needs, yes in practice. Keep Amazon Titan Image G1 v2 when the asset must be uniquely generated for brand or campaign finals.
One plan: $50 USD/month, no free tier, no per-image fee. Catalog access with 30 requests/minute per account.
Original downloads are unlimited with one concurrent transfer per account. API requests share a 30/minute account bucket.
Only if you truly need generative regression coverage. Daily PR pipelines should use stock fixtures instead.