All use casesUse Case
Ship an image generation API without building the plumbing around it.
Whether you're calling Fal.ai, Replicate, or a self-hosted diffusion model, the surrounding infrastructure is the same: auth, rate limits, async jobs, and billing. FastAPI AI Kit provides that layer so the only new code is the call to your chosen generation provider.
FastAPICeleryRedisFal.ai / ReplicateAWS S3Stripe
The usual pain points
- ✕Handling generation latency without blocking the API thread
- ✕Preventing a single customer from exhausting your provider quota
- ✕Storing and serving generated images efficiently
- ✕Billing per image generated rather than per API call
How the kit solves them
- Async job pattern (Celery + Redis) already built for exactly this workload
- Per-API-key rate limiting caps generations per minute or per day by tier
- Object storage integration guides (S3/R2) for serving generated output
- Stripe metering bills per generated image via the existing usage-record flow
Example implementation
@router.post("/v1/image/generate")
@require_api_key(tier=["basic", "pro"])
@rate_limit(per_minute=5, per_day=100)
async def generate_image(body: ImageGenRequest, key: APIKey = Depends(get_api_key)):
job = generate_image_task.delay(body.prompt, key.id)
await meter.record(key.id, units=1)
return {"job_id": job.id, "status": "processing"}Ready to build your ai image generator backend?
FastAPI AI Kit ships with everything shown above, pre-configured and production-ready. Clone the repo and start building in minutes.
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