Pedro Cuenca
2 years ago
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d0465aa408
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//
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// HelpContent.swift
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// Diffusion-macOS
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//
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// Created by Pedro Cuenca on 7/2/23.
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// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
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//
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import SwiftUI
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func helpContent(title: String, description: Text, showing: Binding<Bool>, width: Double = 400) -> some View {
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VStack {
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Text(title)
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.font(.title3)
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.padding(.top, 10)
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.padding(.all, 5)
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description
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.lineLimit(nil)
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.padding(.bottom, 5)
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.padding([.leading, .trailing], 15)
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Button {
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showing.wrappedValue.toggle()
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} label: {
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Text("Dismiss").frame(maxWidth: 200)
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}
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.padding(.bottom)
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}
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.frame(minWidth: width, idealWidth: width, maxWidth: width)
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}
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func helpContent(title: String, description: String, showing: Binding<Bool>, width: Double = 400) -> some View {
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helpContent(title: title, description: Text(description), showing: showing)
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}
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func helpContent(title: String, description: AttributedString, showing: Binding<Bool>, width: Double = 400) -> some View {
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helpContent(title: title, description: Text(description), showing: showing)
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}
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func modelsHelp(_ showing: Binding<Bool>) -> some View {
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let description = try! AttributedString(markdown:
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"""
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Diffusers launches with a set of 5 models that can be downloaded from the Hugging Face Hub:
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**Stable Diffusion 1.4**
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This is the original Stable Diffusion model that changed the landscape of AI image generation.
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**Stable Diffusion 1.5**
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Same architecture as 1.4, but trained on additional images with a focus on aesthetics.
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**Stable Diffusion 2**
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Improved model, heavily retrained on millions of additional images.
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**Stable Diffusion 2.1**
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The last reference in the Stable Diffusion family. Works great with _negative prompts_.
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OFA small v0
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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!
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""", options: AttributedString.MarkdownParsingOptions(interpretedSyntax: .inlineOnlyPreservingWhitespace))
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return helpContent(title: "Available Models", description: description, showing: showing, width: 600)
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}
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func promptsHelp(_ showing: Binding<Bool>) -> some View {
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let description = try! AttributedString(markdown:
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"""
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**Prompt** is the description of what you want, and **negative prompt** is what you _don't want_.
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Use the negative prompt to tweak a previous generation (by removing unwanted items), or to provide hints for the model.
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Many people like to use negative prompts such as "ugly, bad quality" to make the model try harder. \
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Or consider excluding terms like "3d" or "realistic" if you're after particular drawing styles.
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""", options: AttributedString.MarkdownParsingOptions(interpretedSyntax: .inlineOnlyPreservingWhitespace))
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return helpContent(title: "Prompt and Negative Prompt", description: description, showing: showing, width: 600)
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}
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func guidanceHelp(_ showing: Binding<Bool>) -> some View {
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let description =
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"""
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Indicates how much the image should resemble the prompt.
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Low values produce more varied results, while excessively high ones \
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may result in image artifacts such as posterization.
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Values between 7 and 10 are usually good choices, but they affect \
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differently to different models.
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Feel free to experiment!
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"""
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return helpContent(title: "Guidance Scale", description: description, showing: showing)
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}
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func stepsHelp(_ showing: Binding<Bool>) -> some View {
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let description =
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"""
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How many times to go through the diffusion process.
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Quality increases the more steps you choose, but marginal improvements \
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get increasingly smaller.
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🧨 Diffusers currently uses the super efficient DPM Solver scheduler, \
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which produces great results in just 20 or 25 steps 🤯
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"""
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return helpContent(title: "Inference Steps", description: description, showing: showing)
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}
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func seedHelp(_ showing: Binding<Bool>) -> some View {
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let description =
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"""
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This is a number that allows you to reproduce a previous generation.
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Use it like this: select a seed and write a prompt, then generate an image. \
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Next, maybe add a negative prompt or tweak the prompt slightly, and see how the result changes. \
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Rinse and repeat until you are satisfied, or select a new seed to start over.
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If you select -1, a random seed will be chosen for you.
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"""
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return helpContent(title: "Generation Seed", description: description, showing: showing)
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}
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