.gitignore

@@ -88,3 +88,4 @@ fastlane/test_output
 # https://github.com/johnno1962/injectionforxcode
 
 iOSInjectionProject/
+.DS_Store

.spi.yml

@@ -0,0 +1,4 @@
+version: 1
+builder:
+  configs:
+    - documentation_targets: [openai-async-image-swiftui]

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023 Igor
+Copyright (c) 2023  Igor Shelopaev
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

Package.resolved

@@ -3,19 +3,28 @@
     {
       "identity" : "async-http-client",
       "kind" : "remoteSourceControl",
-      "location" : "https://github.com/The-Igor/async-http-client.git",
+      "location" : "https://github.com/swiftuiux/async-http-client.git",
       "state" : {
-        "revision" : "8be7d1c1f036350a8109b075052a71d3353ad366",
-        "version" : "1.4.4"
+        "revision" : "936a6e953d3c3e05a14c3d852fea9955e57c9854",
+        "version" : "1.5.0"
+      }
+    },
+    {
+      "identity" : "async-task",
+      "kind" : "remoteSourceControl",
+      "location" : "https://github.com/swiftuiux/async-task.git",
+      "state" : {
+        "revision" : "d05dc1ec967813392da38e3501dfe666098baaec",
+        "version" : "1.2.5"
       }
     },
     {
       "identity" : "retry-policy-service",
       "kind" : "remoteSourceControl",
-      "location" : "https://github.com/The-Igor/retry-policy-service.git",
+      "location" : "https://github.com/swiftuiux/retry-policy-service.git",
       "state" : {
-        "revision" : "46ded002161a95c6b08ddd02c3f319891c773d14",
-        "version" : "1.0.0"
+        "revision" : "2a6a1f057fbf77337dfc73db98bd3d538127b3e2",
+        "version" : "1.0.1"
       }
     }
   ],

Package.swift

@@ -14,14 +14,15 @@ let package = Package(
     ],
     dependencies: [
         // Dependencies declare other packages that this package depends on.
-        .package(url: "https://github.com/The-Igor/async-http-client.git", from: "1.4.4")
+        .package(url: "https://github.com/swiftuiux/async-http-client.git", from: "1.5.0"),
+        .package(url: "https://github.com/swiftuiux/async-task.git", from: "1.2.5")
     ],
     targets: [
         // Targets are the basic building blocks of a package. A target can define a module or a test suite.
         // Targets can depend on other targets in this package, and on products in packages this package depends on.
         .target(
             name: "openai-async-image-swiftui",
-            dependencies: ["async-http-client"]),
+            dependencies: ["async-http-client", "async-task"]),
         .testTarget(
             name: "openai-async-image-swiftuiTests",
             dependencies: ["openai-async-image-swiftui"]),

README.md

@@ -2,20 +2,22 @@
 
 SwiftUI view that asynchronously loads and displays an OpenAI image from open API
 
-You just type in any your idea and AI will give you an art solution
+### Please star the repository if you believe continuing the development of this package is worthwhile. This will help me understand which package deserves more effort.
 
-DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts"
+[![](https://img.shields.io/endpoint?url=https%3A%2F%2Fswiftpackageindex.com%2Fapi%2Fpackages%2Fswiftuiux%2Fopenai-async-image-swiftui%2Fbadge%3Ftype%3Dplatforms)](https://swiftpackageindex.com/swiftuiux/openai-async-image-swiftui)
+
+## [Example for the package](https://github.com/swiftuiux/openai-async-image-swiftui-example)
+## [Documentation(API)](https://swiftpackageindex.com/swiftuiux/openai-async-image-swiftui/main/documentation/openai_async_image_swiftui)
 
-[![](https://img.shields.io/endpoint?url=https%3A%2F%2Fswiftpackageindex.com%2Fapi%2Fpackages%2FThe-Igor%2Fopenai-async-image-swiftui%2Fbadge%3Ftype%3Dswift-versions)](https://swiftpackageindex.com/The-Igor/openai-async-image-swiftui)
-[![](https://img.shields.io/endpoint?url=https%3A%2F%2Fswiftpackageindex.com%2Fapi%2Fpackages%2FThe-Igor%2Fopenai-async-image-swiftui%2Fbadge%3Ftype%3Dplatforms)](https://swiftpackageindex.com/The-Igor/openai-async-image-swiftui)
 
 ## Features
-- [x] Multiplatform iOS, macOS, watchOS and tvOS
-- [x] Customizable in term of SwiftUI Image specs [renderingMode, resizable,  antialiased...]
-- [x] Customizable in term of the transport layer [Loader]
-- [x] Based on interfaces not implementations
+- [x] Supports multiple platforms: iOS, macOS, watchOS, and tvOS  
+- [x] Customizable with SwiftUI Image properties (e.g., `renderingMode`, `resizable`, `antialiased`)  
+- [x] Configurable transport layer via custom `Loader`  
+- [x] Designed with interfaces, not implementations  
+- [x] Fully leverages Swift's new concurrency model  
 
- ![OpenAI AsyncImage SwiftUI](https://github.com/The-Igor/openai-async-image-swiftui/blob/main/image/sun_watch.png) 
+ ![OpenAI AsyncImage SwiftUI](https://github.com/swiftuiux/openai-async-image-swiftui/blob/main/image/sun_watch.png) 
 
 ## How to use
 
@@ -59,31 +61,27 @@ or with custom **ViewBuilder**
 | tpl | Custom view builder tpl |
 | loader | Custom loader if you need something specific|
 
- ![OpenAI AsyncImage SwiftUI](https://github.com/The-Igor/openai-async-image-swiftui/blob/main/image/appletv_art.png) 
+ ![OpenAI AsyncImage SwiftUI](https://github.com/swiftuiux/openai-async-image-swiftui/blob/main/image/appletv_art.png) 
 
 ## Documentation(API)
 - You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC)
 - Go to Product > Build Documentation or **⌃⇧⌘ D**
 
-## SwiftUI example for the package
-
-[OpenAI AsyncImage SwiftUI example](https://github.com/The-Igor/openai-async-image-swiftui-example)
-
 
-![OpenAI AsyncImage SwiftUI](https://github.com/The-Igor/openai-async-image-swiftui/blob/main/image/sun_11.png) 
+![OpenAI AsyncImage SwiftUI](https://github.com/swiftuiux/openai-async-image-swiftui/blob/main/image/sun_11.png) 
 
 ## More Stable Diffusion examples 
 
 ### Replicate toolkit for swift. Set of diffusion models
 Announced in 2022, OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models. It uses diffusion models for both the model's prior (which produces an image embedding given a text caption) and the decoder that generates the final image.
 In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space.
 Diffusion models can be applied to a variety of tasks, including image denoising, inpainting, super-resolution, and image generation. For example, an image generation model would start with a random noise image and then, after having been trained reversing the diffusion process on natural images, the model would be able to generate new natural images. 
-[Replicate kit](https://github.com/The-Igor/replicate-kit-swift)
+[Replicate kit](https://github.com/swiftuiux/replicate-kit-swift)
 
 
-![The concept](https://github.com/The-Igor/replicate-kit-swift/raw/main/img/image_02.png) 
+![The concept](https://github.com/swiftuiux/replicate-kit-swift/raw/main/img/image_02.png) 
 
 ### CoreML Stable Diffusion
-[The example app](https://github.com/The-Igor/coreml-stable-diffusion-swift-example) for running text-to-image or image-to-image models to generate images using Apple's Core ML Stable Diffusion implementation
+[The example app](https://github.com/swiftuiux/coreml-stable-diffusion-swift-example) for running text-to-image or image-to-image models to generate images using Apple's Core ML Stable Diffusion implementation
 
-![The concept](https://github.com/The-Igor/coreml-stable-diffusion-swift-example/blob/main/img/img_01.png) 
+![The concept](https://github.com/swiftuiux/coreml-stable-diffusion-swift-example/blob/main/img/img_01.png)