AI Gateway · Component · image-generation-edit-predictions
Image generation, editing, upscaling and prediction jobs
What it does
Expose image generation/editing with masks, size/quality controls and provider-specific prediction jobs. Variants differ in accounting, ingress and storage; some adapters are deferred and operations are not interchangeable.
Core pattern
Image generation or masked edits + async result tracking
- Input
- JSON or multipart image request
- Output
- Generated/edited image response or task state
Key parameters
| Name | Type | Default | Values |
|---|---|---|---|
| provider | string | — | — |
| model | string | — | — |
| operation | string | generate | generate · edit · variation · upscale · prediction_create · prediction_get · prediction_cancel |
| prompt | — | — | — |
| image | — | — | — |
Maturity and limits
Concrete handlers delegate to media pipeline; media task and metering tests. Source paths were inspected statically; tests and live integrations were not executed. This rating describes implemented code, not production validation.
Credential-bearing configuration is excluded from this inventory. MIT; retain notices. Provider compatibility is configuration-dependent; metadata/privacy and optional payload plugins need review. Static inspection only. Variant-specific dependencies, limits and weaker maturity are recorded under variants; these implementations are alternatives, not one deployed system.
Used in pipelines
Industry tags
- EducationTransferable use
For drafting course illustrations and short clips, use image generation or masked edits followed by async result tracking.
Skills pack
Contract scaffold and deterministic mock
Download · 13KBSHA-256 23a5145610f1366da255531e70a3653dfde70280e1f207541dca9a0a5aa035d7
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