update

Author: swiftuiux

README.md

@@ -6,10 +6,10 @@ You just type in any your idea and AI will give you an art solution
 
 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%2Figor11191708%2Fopenai-async-image-swiftui%2Fbadge%3Ftype%3Dplatforms)](https://swiftpackageindex.com/igor11191708/openai-async-image-swiftui)
+[![](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/The-Igor/openai-async-image-swiftui-example)
-## [Documentation(API)](https://swiftpackageindex.com/igor11191708/openai-async-image-swiftui/main/documentation/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)
 
 
 ## Features
@@ -18,7 +18,7 @@ DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate dig
 - [x] Customizable in term of the transport layer [Loader]
 - [x] Based on interfaces not implementations
 
- ![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
 
@@ -62,27 +62,27 @@ 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**
 
 
-![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)