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image-generation-gateways

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Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts, data-governance review, and billing observability. Use for comparing or building against fal.ai, Replicate, or Together AI image APIs, including controlled failover; do not use for direct model-provider APIs, local inference, training, dedicated endpoint provisioning, video generation, or general image editing.

skills/providers/image-generation/image-generation-gateways/SKILL.md

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# Image generation through gateways

A gateway standardizes account access, not model behavior. Keep gateway, model publisher, model/version, execution path, schema, price, safety behavior, and downstream terms as separate facts in every plan and ledger row.

This skill covers three current multi-model serverless gateways:

- **fal.ai Model APIs**: direct or persistent queue calls to model endpoint IDs, with queue status, cancellation, and signed webhooks.
- **Replicate predictions**: prediction resources around official, community, marketplace, or version-pinned models.
- **Together AI serverless images**: a synchronous OpenAI-compatible image endpoint spanning models with different parameter subsets.

These gateways were selected because their first-party contracts expose three materially different operating patterns. Do not add another gateway merely because it offers the same model name. Research its control plane, billing unit, data path, lifecycle, schema, and terms first.

Volatile facts here were checked **2026-07-10**. Use four evidence labels in user-facing work:
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