【AI】Leonardo AI界面与功能详细教程 2024 | 零基础入门
TLDR本教程详细介绍了2024年Leonardo AI的界面和功能，适合零基础用户入门。首先，用户需要在Leonardo网站注册账号并登录。主界面分为多个部分，包括Community Feed展示网友生成的图像、Personal Feed保存个人生成的图像、Training & datasets用于训练模型等。特别介绍了Image Generation功能，用户可以通过Remix现有图像或输入提示词来生成新图像，选择不同的模型和风格，以及添加反向提示词来排除不希望出现的元素。还涉及了图像增强技术如Prompt Magic、Alchemy和Photoreal，以及如何设置图像的宽高比、透明度等高级选项。最后，介绍了如何使用种子值生成相同图像，以及Scheduler采样算法的选择。视频结尾预告了下一期将讲述图生图功能和提示词生成功能。
Takeaways
- 🚀 打开Leonardo网站，注册账号后即可进入主界面。
- 🔍 Community Feed展示网友生成的图像，搜索功能暂时不可用。
- 📈 可以搜索特定风格的图像，如放大、视频、摄影风格等。
- 🖼️ 通过点击图像，可以查看生成该图像的提示词和参数。
- 🔄 图像可以发送到Motion功能生成视频，或图生图功能。
- 📂 Personal Feed保存账号生成的所有图像及其参数。
- 🛠️ Training & datasets是训练模型的地方，包含多种模型。
- 🎨 Image Generation是用户最常用的图像生成功能。
- 🐱 输入提示词如'fluffy cat'，系统可生成或改善提示词。
- 🧐 选择不同模型，如stable diffusion 1.5或Leonardo vision XL，影响生成图像的Token消耗。
- 🌟 Leonardo Style增强算法可提升图像质量。
- 🎨 Add Elements允许添加预设风格，如Glass & Steel。
- ➖ Add Negative Prompt可增加不希望出现的元素，如necklace。
- 🔢 Number of Images控制一次生成的图像数量，最多8张。
- 🌈 Photoreal, Alchemy和Prompt Magic是图像增强技术，逐步增强图像效果。
- 🔍 Transparency功能支持生成背景透明的图像。
- 👁️ Public Images选项控制图像是否公开到Community Feed。
- 📏 可以指定图像的宽高比和尺寸，如1:1或预设尺寸。
- ⚙️ Advanced Controls提供额外的图像生成控制选项。
- 🌱 使用固定种子值可以生成相同的图像结果。
Q & A
Leonardo AI的主要界面包含哪些部分？
-Leonardo AI的主要界面包含Community Feed、Personal Feed、Training & datasets、User Tools等部分。Community Feed展示网友生成的图像，Personal Feed保存账号生成的图像，Training & datasets用于训练模型，User Tools提供7个工具，包括Image Generation、Realtime Canvas等。
如何使用Leonardo AI的Image Generation功能生成图像？
-使用Image Generation功能，首先选择或Remix一张喜欢的图像，然后可以修改提示词，选择模型，添加风格元素，调整反向提示词，最后点击Generate生成图像。
Leonardo AI中的Photoreal功能是如何增强图像的？
-Photoreal功能通过选择特定的模型如Leonardo diffusion XL、Leonardo vision XL或Leonardo Kino XL，并可以选择不同的风格，如电影风格，来增强图像的真实感和细节。
在Leonardo AI中，如何使用Transparent功能生成背景透明的图像？
-使用Transparent功能时，只需打开该选项，它将使用LayerDiffusion插件来生成具有透明背景的图像。
Leonardo AI中的Scheduler功能是什么？
-Scheduler功能类似于采样算法，用户可以根据自己的需要选择不同的采样算法来优化图像生成的过程。
如何将Leonardo AI生成的图像分享到Community Feed？
-在生成图像的过程中，可以选择Make Public选项，这样生成的图像就会被发送到Community Feed中，供其他网友查看。
在使用Leonardo AI时，如何确保生成的两张图像完全相同？
-为了生成两张完全相同的图像，需要使用相同的种子值（fixed seed），并且其他参数和模型设置也必须保持一致。
Leonardo AI中的LoRA模型是什么，它有什么作用？
-LoRA模型是一种用于实现预设风格的模型，它允许用户在生成图像时选择不同的风格，如3D Sculpt、Colorful Scribbles等，从而丰富图像的视觉效果。
在Leonardo AI中，如何使用Prompt Magic功能来增强图像？
-Prompt Magic功能允许用户指定增强算法的强度，如选择High Contrast来增加图像的阴影，从而提升图像的视觉效果。
Leonardo AI中的Alchemy功能与Prompt Magic有什么区别？
-Alchemy是比Prompt Magic更高级的图像增强技术，它包含了Prompt Magic的所有功能，并且提供了更多的控制选项，如高分辨率开关和对比度增强，以进一步提升图像质量。
在Leonardo AI中，如何调整生成图像的宽高比？
-在Advanced Controls部分，用户可以指定图像的宽高比，例如设置为1:1，系统会自动调整宽和高以达到指定的宽高比。
Leonardo AI中的Guidance Scale功能有什么作用？
-Guidance Scale功能类似于stable diffusion中的CFG值，它控制着生成图像与提示词的匹配程度。值越高，图像越精确地符合提示词；值越低，图像的创造性越高。
Outlines
🚀 Introduction to Leonardo's Interface and Features
The video begins with an introduction to the Leonardo website, emphasizing the process of signing up and logging in using a Google account. The main interface is then explored, highlighting the various sections such as Community Feed, which showcases user-generated images, and the search functionality, which is currently disabled. The viewer is taken through the different search criteria available for filtering images. The script also explains the process of viewing and remaking images, as well as the different areas for storing and organizing models, including Finetuned Models, Platform Models, Community Models, and personal models. User Tools are introduced with a focus on Image Generation, Realtime Canvas, and other creative functions. The paragraph concludes with a detailed walkthrough of the Image Generation process, from selecting an image to generating a new one based on prompts and parameters.
🎨 Exploring Image Generation and Style Customization
This paragraph delves deeper into the Image Generation feature, illustrating how to create an image by remixing an existing one and customizing prompt words. It discusses the option to improve the prompt for better results and the selection of models, emphasizing the different tokens required by each model. The use of Leonardo Style for image enhancement is also covered. The viewer is introduced to various styles that can be added to an image, such as Glass & Steel and Sparklecore, which are facilitated by the LoRA model. The paragraph continues with the addition of negative prompts to exclude unwanted elements from the generated image and the blending of multiple styles to create a unique image. The history of generated images and their parameters are discussed, along with the functionalities to regenerate, view, copy seed values, and share images publicly. The paragraph concludes with an overview of additional features like the number of images to generate, image enhancement technologies, and the Prompt Magic, Alchemy, and Photoreal tools for refining the image generation process.
🖼️ Advanced Image Settings and Upcoming Features
The final paragraph focuses on advanced settings and upcoming features in Leonardo. It discusses the Transparency feature for generating images with a transparent background, which is a recent addition to the stable diffusion. The Public Images option is explained, which allows users to choose whether their generated images are publicly visible on the Community Feed. The paragraph also covers the customization of image dimensions and the use of advanced controls like Guidance Scale and Tiling. The Image Guidance feature, which has been moved to a different tab, is mentioned as a topic for a future video. The Recommended sizes option is introduced to automatically adjust image dimensions to suit the selected model. The importance of the fixed seed for generating identical images under the same parameters is highlighted. The paragraph concludes with a brief mention of the Scheduler feature and a teaser for upcoming topics in the next video, inviting viewers to join for more insights into the Image Generation and prompt creation functionalities.
Mindmap
Keywords
💡Leonardo AI
💡Image Generation
💡Models
💡Remix
💡Prompt Words
💡Community Feed
💡Personal Feed
💡Training & Datasets
💡User Tools
💡Realtime Canvas
💡Transparency
Highlights
Leonardo AI is a platform that allows users to generate images using AI technology.
To get started, users need to register an account or sign in with a Google account.
The main interface of Leonardo is divided into several sections, including Community Feed, Personal Feed, and Training & Datasets.
Community Feed displays images generated by all users, but the search function is temporarily disabled.
Users can search for specific styles or themes, such as 'magnified images' or 'photography style images'.
Each image in the feed includes the prompt words and parameters used to generate it.
Images can be sent to Motion for video generation or to the 'graph-to-graph' feature.
Personal Feed saves all images generated by the user's account, with the ability to regenerate or modify them.
Training & Datasets is where users can train models, with options for Finetuned Models, Platform Models, and Community Models.
User Tools include seven different tools for image generation, editing, and enhancement.
Image Generation is the most commonly used feature, allowing users to create images from text prompts.
Users can input their own prompt words or modify existing ones for image generation.
Leonardo Style is an enhancement algorithm that improves the quality of generated images.
Add Elements allows users to add predefined styles to their images, such as 'Glass & Steel' or 'Ivory & Gold'.
Negative Prompts can be added to exclude certain elements from the generated images.
The history of generated images is saved, along with all parameters used for creation.
Users can choose the number of images to generate at once, up to a maximum of eight.
Photoreal, Alchemy, and Prompt Magic are advanced image enhancement technologies with varying levels of strength and detail.
Transparency feature allows for the generation of images with transparent backgrounds.
Public Images option determines whether generated images are visible to the community or only to the user.
Advanced Controls include options for image dimensions, aspect ratio, and other fine-tuning settings.
Fixed seed ensures the generation of identical images if the same parameters and model are used.
Scheduler is a sampling algorithm that can be selected for different generation styles.