Image generation without the API markup—or the GPU burden.

AI product teams shouldn’t have to choose between overpaying an inference provider and becoming a GPU infrastructure company.

Kavram is the third path: one production image-generation API, with distributed GPU capacity underneath.

One integration. Six image models.

Your application keeps the familiar workflow:

• One async request format

• Queued → processing → completed job states

• Polling and signed webhooks

• cURL, Python and Node.js integration

• No GPU rental, driver setup or idle capacity bill

• Automatic refunds for capacity-related failures

Change the model—not your entire infrastructure.

Same model. Better economics.

For our dated FLUX.1 Schnell · 1 MP reference:

• Kavram: $0.0012 per completed image

• fal.ai: $0.003 per MP

That’s the same model reference at a significantly lower unit price—without asking your product team to manage GPUs.

This is a scoped comparison, not a promise that every model or workload has the same ratio. Production teams should measure accepted-output quality, p50/p95 latency, reliability and true cost using their own prompts.

Built for teams shipping real image features.

Kavram is designed for:

• AI products and creative tools

• Ecommerce and catalog generation

• Games, avatars and personalization

• Agencies and high-volume visual workflows

• ML and platform teams that want API convenience without GPU operations

We want real workloads, not vanity signups.

We’re opening Kavram’s next early-access cohort to teams already generating images.

Bring one real prompt, your current model and approximate monthly volume. We’ll help determine whether the comparison is worth running.