Generate image

Use generateImage when a provider exposes an image model. The Swift-native convenience accepts the prompt directly and builds an ImageGenerationRequest for you.

Examples/Sources/GenerateImage/main.swift

import SwiftAISDK

@main
struct GenerateImageExample {
    static func main() async throws {
        let provider = try AIProviders.openAI()
        let model = try provider.imageModel("gpt-image-1")

        let result = try await model.generateImage(
            "A small watercolor robot reading Swift code.",
            size: "1024x1024",
            count: 1
        )

        print(result.urls.first ?? result.base64Images.first ?? "")
    }
}

For image editing, pass input files and an optional mask.

let source = ImageInputFile(
    data: imageData,
    mediaType: "image/png",
    fileName: "source.png"
)

let result = try await model.generateImage(
    "Replace the background with a quiet desk.",
    files: [source]
)

Options

• size and aspectRatio describe the output shape.
• seed requests deterministic output when a provider supports it.
• count requests multiple images.
• files and mask support image editing.
• providerOptions carries provider-specific controls.
• extraBody, headers, abortSignal, retryPolicy, and telemetry follow the shared facade behavior.

Results

ImageGenerationResult may contain hosted URLs, base64 images, or both:

• urls
• base64Images
• usage
• warnings
• providerMetadata
• requestMetadata
• responseMetadata
• calls, one ImageGenerationCall per underlying model request, preserving call-scoped images, warnings, usage, provider metadata, and response metadata.

The aggregate URL/base64/usage fields remain convenient for callers that do not need per-request attribution. Use calls when cost or response metadata must remain associated with an individual provider call.

If the provider completes without any URL or base64 image, generateImage throws AINoOutputError. For image failures its calls property preserves the same per-call warnings, usage, provider metadata, and response metadata, so an empty aggregate result does not discard diagnostic evidence.