Do I need to host my own model to generate images at scale?

Not necessarily.

If your goal is to generate images at scale, you have a few options:

1) Use a hosted API

This is the simplest option. You call a provider’s API and they handle:

• model hosting
• GPUs
• scaling
• updates
• reliability

Best if: you want to move fast, don’t want ops work, or only need moderate-to-high volume without building infrastructure.

2) Self-host an open model

You run the model on your own GPUs or cloud instances.

Best if: you need:

• lower cost at very high volume
• more control over latency and throughput
• custom fine-tunes
• data/privacy control
• predictable infrastructure

Tradeoff: you now own:

• GPU provisioning
• autoscaling
• queueing
• monitoring
• model upgrades
• failures and retries

3) Hybrid approach

Many teams start with a hosted API, then move to self-hosting once:

• volume is large enough
• costs justify it
• requirements become stricter

Rule of thumb

• Low to medium volume: hosted API is usually enough
• High, steady volume: self-hosting can be cheaper and more controllable
• Very custom workflow: hybrid or self-hosting is often best

What “at scale” changes

At scale, the main concerns are:

• cost per image
• queue latency
• GPU utilization
• retries/failures
• prompt caching / batching
• concurrency limits
• SLA requirements

If you want, I can help you compare hosted API vs self-hosting for your expected image volume and budget.