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`‎README.md`

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`@@ -6,10 +6,10 @@ You just type in any your idea and AI will give you an art solution`
`6`	`6`
`7`	`7`	`DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts"`
`8`	`8`
`9`		`-[![](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)`
	`9`	`+[![](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)`
`10`	`10`
`11`		`-## [Example for the package](https://github.com/The-Igor/openai-async-image-swiftui-example)`
`12`		`-## [Documentation(API)](https://swiftpackageindex.com/igor11191708/openai-async-image-swiftui/main/documentation/openai_async_image_swiftui)`
	`11`	`+## [Example for the package](https://github.com/swiftuiux/openai-async-image-swiftui-example)`
	`12`	`+## [Documentation(API)](https://swiftpackageindex.com/swiftuiux/openai-async-image-swiftui/main/documentation/openai_async_image_swiftui)`
`13`	`13`
`14`	`14`
`15`	`15`	`## Features`
`@@ -18,7 +18,7 @@ DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate dig`
`18`	`18`	`- [x] Customizable in term of the transport layer [Loader]`
`19`	`19`	`- [x] Based on interfaces not implementations`
`20`	`20`
`21`		`- ![OpenAI AsyncImage SwiftUI](https://github.com/The-Igor/openai-async-image-swiftui/blob/main/image/sun_watch.png)`
	`21`	`+ ![OpenAI AsyncImage SwiftUI](https://github.com/swiftuiux/openai-async-image-swiftui/blob/main/image/sun_watch.png)`
`22`	`22`
`23`	`23`	`## How to use`
`24`	`24`
`@@ -62,27 +62,27 @@ or with custom ViewBuilder`
`62`	`62`	`\| tpl \| Custom view builder tpl \|`
`63`	`63`	`\| loader \| Custom loader if you need something specific\|`
`64`	`64`
`65`		`- ![OpenAI AsyncImage SwiftUI](https://github.com/The-Igor/openai-async-image-swiftui/blob/main/image/appletv_art.png)`
	`65`	`+ ![OpenAI AsyncImage SwiftUI](https://github.com/swiftuiux/openai-async-image-swiftui/blob/main/image/appletv_art.png)`
`66`	`66`
`67`	`67`	`## Documentation(API)`
`68`	`68`	`- You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC)`
`69`	`69`	`- Go to Product > Build Documentation or ⌃⇧⌘ D`
`70`	`70`
`71`	`71`
`72`		`-![OpenAI AsyncImage SwiftUI](https://github.com/The-Igor/openai-async-image-swiftui/blob/main/image/sun_11.png)`
	`72`	`+![OpenAI AsyncImage SwiftUI](https://github.com/swiftuiux/openai-async-image-swiftui/blob/main/image/sun_11.png)`
`73`	`73`
`74`	`74`	`## More Stable Diffusion examples`
`75`	`75`
`76`	`76`	`### Replicate toolkit for swift. Set of diffusion models`
`77`	`77`	`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.`
`78`	`78`	`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.`
`79`	`79`	`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.`
`80`		`-[Replicate kit](https://github.com/The-Igor/replicate-kit-swift)`
	`80`	`+[Replicate kit](https://github.com/swiftuiux/replicate-kit-swift)`
`81`	`81`
`82`	`82`
`83`		`-![The concept](https://github.com/The-Igor/replicate-kit-swift/raw/main/img/image_02.png)`
	`83`	`+![The concept](https://github.com/swiftuiux/replicate-kit-swift/raw/main/img/image_02.png)`
`84`	`84`
`85`	`85`	`### CoreML Stable Diffusion`
`86`		`-[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`
	`86`	`+[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`
`87`	`87`
`88`		`-![The concept](https://github.com/The-Igor/coreml-stable-diffusion-swift-example/blob/main/img/img_01.png)`
	`88`	`+![The concept](https://github.com/swiftuiux/coreml-stable-diffusion-swift-example/blob/main/img/img_01.png)`

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