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- // Copyright 2025 Google LLC
- //
- // Licensed under the Apache License, Version 2.0 (the "License");
- // you may not use this file except in compliance with the License.
- // You may obtain a copy of the License at
- //
- // http://www.apache.org/licenses/LICENSE-2.0
- //
- // Unless required by applicable law or agreed to in writing, software
- // distributed under the License is distributed on an "AS IS" BASIS,
- // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- // See the License for the specific language governing permissions and
- // limitations under the License.
- import Foundation
- /// A type that represents a remote image generation model (like Imagen), with the ability to
- /// generate
- /// images based on various input types.
- ///
- /// **Public Preview**: This API is a public preview and may be subject to change.
- @available(iOS 15.0, macOS 12.0, macCatalyst 15.0, tvOS 15.0, watchOS 8.0, *)
- public final class TemplateImagenModel: Sendable {
- let generativeAIService: GenerativeAIService
- let apiConfig: APIConfig
- init(generativeAIService: GenerativeAIService, apiConfig: APIConfig) {
- self.generativeAIService = generativeAIService
- self.apiConfig = apiConfig
- }
- /// Generates images from a prompt template and variables.
- ///
- /// - Parameters:
- /// - template: The prompt template to use.
- /// - variables: A dictionary of variables to substitute into the template.
- /// - options: The ``RequestOptions`` for the request, currently used to override default
- /// request timeout.
- /// - Returns: The images generated by the model.
- /// - Throws: An error if the request failed.
- public func generateImages(templateID: String,
- inputs: [String: Any],
- options: RequestOptions = RequestOptions()) async throws
- -> ImagenGenerationResponse<ImagenInlineImage> {
- let templateInputs = try inputs.mapValues { try TemplateInput(value: $0) }
- let projectID = generativeAIService.firebaseInfo.projectID
- let request = TemplateImagenGenerationRequest<ImagenInlineImage>(
- template: templateID,
- inputs: templateInputs,
- projectID: projectID,
- apiConfig: apiConfig,
- options: options
- )
- return try await generativeAIService.loadRequest(request: request)
- }
- }
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