func modelsHelp()

in Diffusion-macOS/HelpContent.swift [40:67]

• 17 lines of code
• 2 McCabe index (conditional complexity)

func modelsHelp(_ showing: Binding<Bool>) -> some View {
    let description = try! AttributedString(markdown:
        """
        Diffusers launches with a set of 5 models that can be downloaded from the Hugging Face Hub:
        
        **[Stable Diffusion 1.4](https://huggingface.co/CompVis/stable-diffusion-v1-4)**
          
        This is the original Stable Diffusion model that changed the landscape of AI image generation. For more details, visit the [model card](https://huggingface.co/CompVis/stable-diffusion-v1-4) or click on the title above.
        
        **[Stable Diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5)**
        
        Same architecture as 1.4, but trained on additional images with a focus on aesthetics.
        
        **[Stable Diffusion 2](https://huggingface.co/StabilityAI/stable-diffusion-2-base)**
        
        Improved model, heavily retrained on millions of additional images. This version corresponds to the [`stable-diffusion-2-base`](https://huggingface.co/StabilityAI/stable-diffusion-2-base) version of the model (trained on 512 x 512 images).
        
        **[Stable Diffusion 2.1](https://huggingface.co/stabilityai/stable-diffusion-2-1-base)**
        
        The last reference in the Stable Diffusion family. Works great with _negative prompts_.
        
        **[OFA small v0](https://huggingface.co/OFA-Sys/small-stable-diffusion-v0)**
        
        This is a special so-called _distilled_ model, half the size of the others. It runs faster and requires less RAM, try it out if you find generation slow!
        
        """, options: AttributedString.MarkdownParsingOptions(interpretedSyntax: .inlineOnlyPreservingWhitespace))
    return helpContent(title: "Available Models", description: description, showing: showing, width: 600)
}