LeonardoAI - Complete Tutorial / Guide
TLDRThis tutorial offers a comprehensive guide to using Leonardo AI, an online stable diffusion platform with unique features and a user-friendly interface. It covers the process of accessing the platform, understanding models, generating images, customizing settings, and exploring community models. The guide also introduces advanced features like AI canvas beta for outward painting and masking, and explains how to train custom models using personal datasets.
Takeaways
- 🌐 Leonardo AI is an online platform for stable diffusion image generation with unique features and an intuitive UI.
- 🔒 Access to Leonardo AI is by invitation only, but it's easy to get an invite by signing up with your email address.
- 🖼️ The platform features various models trained on specific image types, which can be explored through examples provided.
- 👀 Users can view the Community Feed to see images created by others and replicate them using seed numbers.
- 🎨 AI Canvas Beta allows for outward painting, enabling users to expand and modify images with new generations.
- 🖼️ Image generation includes options for the number of images, dimensions, guidance scale, step count, and tiling for seamless patterns.
- 🎭 The platform provides a way to upload an image as a base for new image creations, giving more weight to the uploaded image than the prompts.
- ⚙️ Advanced settings allow for fixed seeds and schedulers, which can be used to replicate or experiment with different image styles.
- 🔍 Users can select models based on their needs, with options to view platform models vetted by Leonardo AI or community models shared by users.
- 🔄 Prompt Magic is a feature that refines user prompts to better suit the understanding of the AI for image generation.
- 📝 Prompt Generation helps users come up with new ideas by automatically creating additional sets of prompts based on initial input.
Q & A
What is Leonardo AI and how does it differ from other online stable diffusion platforms?
-Leonardo AI is an online stable diffusion platform that stands out by offering several unique features and an intuitive user interface. It is not referred to as a 'mid-journey killer' but is seen as having its own purpose and customer base, unlike some other platforms.
How can one gain access to Leonardo AI if it's in Invitation Only mode?
-To gain access to Leonardo AI, you need to visit leonardo.ai, enter your email address, and click on 'Count Me In'. An invitation is typically sent within a week, possibly every Monday, to the email address you provided.
What are 'models' in the context of Leonardo AI and how can they be explored?
-In Leonardo AI, a 'model' is a dataset trained on a specific type of image. Users can explore models by clicking on them to view examples of images created with that model, giving a basic idea of what kind of images can be expected.
How can users interact with the Community Feed on Leonardo AI?
-Users can interact with the Community Feed by clicking on images created by others to see the prompts used, any negative prompts, and the sampler and base models used. This allows them to generate the exact same image using the provided seed number.
What is the purpose of the 'AI Canvas Beta' feature in Leonardo AI?
-The 'AI Canvas Beta' feature allows users to perform outward painting. It enables the expansion of an image by selecting a section and regenerating that part, offering four different options to choose from for the best fit.
How does the image generation process work in Leonardo AI?
-The image generation process involves selecting the number of images, dimensions, guidance scale, step count, and other settings. Users provide prompts and negative prompts to guide the AI in creating the desired image. The system uses tokens, with approximately 250 tokens granted per day for image generation.
What is the significance of the 'guidance scale' and 'step count' in image generation?
-The 'guidance scale' determines how closely Leonardo AI adheres to the user's prompts, with higher numbers being more strict. The 'step count' refers to how many times the AI reviews the image during creation, affecting detail and creation time. Finding the sweet spot for both is crucial for optimal image quality.
What is 'tiling' in the context of image generation on Leonardo AI?
-Tiling is a feature that allows users to create images that can be seamlessly tiled, meaning they can be stacked next to each other to form one continuous image, which is useful for creating wallpapers or patterns.
How can users create their own models using their images in Leonardo AI?
-Users can create their own models by going to 'Training and Data Sets', creating a new dataset with a precise description, and uploading 8 to 15 images of the same type and size. Once the images are uploaded, users can train the model, which is then added to their datasets for future use.
What is 'Prompt Magic' and how does it assist users in image generation?
-'Prompt Magic' is a feature that refines user prompts to make them more understandable for the AI. It helps in generating more accurate images by suggesting additional prompts based on the user's initial input.
How can users ensure they are using the correct model for their desired image type?
-Users should select models that are trained on the specific type of image they want to create. They can browse through platform models, community models, or create custom models. It's important to check the model's resolution to ensure it aligns with the desired image size.
Outlines
🌐 Introduction to Leonardo AI Platform
The video script begins with an introduction to Leonardo AI, an online stable diffusion platform noted for its unique features and user-friendly interface. It clarifies that the platform is currently invitation-only but easy to access by signing up with an email address. The script mentions that users are often referred to as 'whitelisted' once they have an account. The tutorial promises to cover all available features of Leonardo AI, starting with navigating the homepage, exploring featured models, and understanding the community feed that showcases images created by other users.
🎨 Exploring Image Generation Features
This paragraph delves into the image generation process on Leonardo AI. It explains the importance of selecting the right model based on desired image type and how to use the community feed for inspiration. The script introduces the AI Canvas Beta feature, which allows for outward painting and image expansion. It also covers the masking feature to redraw specific sections of an image. The tutorial provides insights into the number of images one can generate per day, given the token limit, and discusses various settings such as image dimensions, guidance scale, step count, and tiling options. Additionally, it explains how to use an uploaded image as a base for new creations and the importance of the fixed seed and scheduler settings.
🛠️ Customizing Image Generation Settings
The script continues with a detailed explanation of the image generation settings, including the number of images to generate, dimensions, aspect ratios, and resolution considerations. It emphasizes the significance of the guidance scale and step count in determining the adherence to prompts and the level of detail in the generated images. The tutorial also touches on advanced settings like tiling for creating seamless wallpapers, using an existing image as a base for new images, and the show advanced settings feature that includes fixed seed and scheduler options. The paragraph concludes with a discussion on how to use prompts and negative prompts effectively to guide the image generation process.
📚 Training and Creating Custom Models
The final paragraph focuses on the advanced feature of training and creating custom models using one's own images. It outlines the steps to create a new data set, emphasizing the need for precise descriptions and uniform image types and sizes. The script explains how to upload images, train a model using these images, and monitor the training process. It also highlights the ability to add images from the community feed to one's data set and the importance of selecting the right model based on its resolution. The tutorial wraps up with a reminder to keep an eye on resolution changes when selecting models and encourages viewers to share tips and ask questions in the comments section.
Mindmap
Keywords
💡Leonardo AI
💡Stable Diffusion
💡Models
💡Community Feed
💡AI Canvas Beta
💡Masking
💡Tokens
💡Guidance Scale
💡Step Count
💡Tiling
💡Prompt Magic
💡Training Data Sets
Highlights
Leonardo AI is an online stable diffusion platform with unique features and an intuitive UI.
Leonardo AI is currently in Invitation Only access, but it's easy to get an invite by signing up with your email.
Featured models on Leonardo AI are datasets trained for specific image types, such as portraits or vintage photography.
Models can be previewed with examples to understand the type of images they generate.
The Community Feed showcases images created by other users, including their prompts and models used.
AI Canvas Beta allows for outward painting, expanding images and creating seamless wallpapers.
Users can mask areas in images for redrawing, customizing specific sections of the image.
Image generation involves selecting the number of images, dimensions, and aspect ratios.
Guidance scale and step count are crucial settings for how closely the AI adheres to prompts and the level of detail in images.
Tiling creates images that can be repeated seamlessly for wallpapers or patterns.
Uploading an image as a base for new image creation gives more weight to the image than the prompts.
Advanced settings include fixed seed for reproducing exact images and scheduler for model selection.
Prompts are the main instructions for the AI to create images, while negative prompts specify what to exclude.
Prompt Magic refines prompts to better suit the AI's understanding for improved image generation.
Models can be selected from platform models, community models, or custom models created by users.
Training and data sets allow users to create their own models from a collection of images.
Creating a data set requires precise descriptions and a consistent type and size of images.
Leonardo AI provides access to the Community Feed to add images to a user's data set.
Prompt Generation is a unique feature that creates additional prompts based on a given seed phrase.
The image generation tab displays all created images, offering a comprehensive view of a user's work.
Leonardo AI's interface is designed to be user-friendly, making the process of creating and training models straightforward.