LeonardoAI - Complete Tutorial / Guide

AI John
22 Feb 202318:25

TLDRThis tutorial offers a comprehensive guide on utilizing Leonardo AI, an online platform for image generation with unique features. It covers accessing the platform, exploring models for specific image types, generating images with various settings, and customizing with AI canvas beta. The guide also explains creating custom models and leveraging prompt generation for diverse image outputs, all while managing daily token limits.


  • ๐ŸŒ Leonardo AI is an online platform for image generation using stable diffusion models.
  • ๐Ÿ”’ Currently, the platform is invitation-only, but it's easy to get an invite by signing up with your email.
  • ๐Ÿ–ผ๏ธ Featured models on the homepage are datasets trained for specific image types, and users can preview examples of each model.
  • ๐Ÿ‘€ The Community Feed displays images created by other users, allowing you to see the prompts and models used for each image.
  • ๐ŸŽจ AI Canvas Beta allows for outward painting and image expansion, as well as masking to redraw certain areas of an image.
  • ๐Ÿญ The platform offers the ability to create and train custom models using your own datasets of images.
  • ๐Ÿ”ข Users are granted a certain number of tokens per day, which determine how many images they can generate or create.
  • ๐Ÿ“ Image generation includes options for the number of images, dimensions, aspect ratios, and tiling for seamless patterns.
  • โš™๏ธ Advanced settings allow for customization of the generation process, including guidance scale, step count, and model selection.
  • ๐Ÿ”„ Prompt magic helps refine user prompts for better understanding by the AI, and prompt generation can create multiple sets of prompts for variety.
  • ๐Ÿ” Users can create their own data sets and train models, which can then be shared with the community or used privately.

Q & A

  • What is Leonardo AI and what makes it stand out from other online stable diffusion platforms?

    -Leonardo AI is an online stable diffusion platform that distinguishes itself with unique features and an intuitive user interface. It is known for its ease of access, even in its invitation-only phase, and offers various models trained on specific types of images, allowing users to generate a wide range of image styles.

  • How can one get access to Leonardo AI if it is in an invitation-only phase?

    -To gain access to Leonardo AI, you need to visit leonardo.ai and enter your email address by clicking on 'Count Me In'. Typically, invites are sent out every Monday, and once you receive an invitation, you can confirm your whitelisted status to access the platform.

  • What are 'models' in the context of Leonardo AI and how do they influence the image generation process?

    -In Leonardo AI, a 'model' refers to a dataset trained on a specific type of image. Models influence the image generation process by determining the style and content of the images produced. Users can select a model based on the type of image they wish to create, such as portraits, vintage style photography, or paper art style.

  • How does the Community Feed on Leonardo AI work and what can users learn from it?

    -The Community Feed displays images created by other users. Users can click on any image to see the prompts, negative prompts, and the models used to generate it. This feature allows users to learn from others' creations and even recreate specific images 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 portion of the image and generating additional content that fits seamlessly with the original, providing multiple options to choose from for the best fit.

  • How does the image generation process in Leonardo AI consider the number of images to be generated per session?

    -Leonardo AI allows users to specify the number of images they want to generate per session. However, users are granted about 250 tokens per day, which roughly translates to 250 images that can be generated or created. Each generation request consumes tokens, so users need to manage their token usage wisely.

  • What is the significance of the 'guidance scale' and 'step count' in the image generation settings?

    -The 'guidance scale' determines how closely Leonardo AI adheres to the user's prompts, with higher numbers indicating stricter adherence. The 'step count' refers to how many times the AI reevaluates the image during the creation process, affecting the level of detail and the time taken to generate the image. Both settings require a balance to avoid diminishing returns or image distortion.

  • What is 'tiling' in the context of image generation on Leonardo AI, and how can it be used?

    -Tiling in Leonardo AI is used to create images that can be seamlessly repeated to form a continuous pattern, such as a wallpaper. It allows the AI to arrange the design in a way that can be tiled infinitely without visible seams.

  • How can users leverage the 'Prompt Magic' feature in Leonardo AI to enhance their image generation?

    -Prompt Magic is a feature that refines the user's prompts to better align with what stable diffusion can understand. It helps in generating more accurate images by suggesting modifications to the prompts, which can then be used directly or further edited by the user.

  • What is the process of creating and training a custom model in Leonardo AI?

    -To create a custom model, users need to go to the 'Training and Data Sets' section, create a new data set with a name and precise description, and upload 8 to 15 images of the same type and size. Once the images are uploaded, users can train the model by clicking on 'train model,' and the process is monitored through the job status.

  • How does the 'Prompt Generation' feature in Leonardo AI assist users in creating diverse image prompts?

    -The 'Prompt Generation' feature allows users to input a base prompt and request additional prompts based on it. The system generates multiple sets of prompts, offering a variety of ideas and helping users explore different creative directions for their image generation.



๐ŸŒ Introduction to Leonardo AI Platform

The script introduces Leonardo AI as an online stable diffusion platform with unique features and an intuitive user interface. It clarifies that despite being invitation-only, it's easy to get access by signing up with an email address. The platform offers various models for different image types, such as portraits and vintage styles, and provides examples of generated images for each model. It also mentions the Community Feed, which showcases images created by users, and the ability to recreate those images using seed numbers. Additionally, the script touches on the AI Canvas Beta feature, which allows for outward painting and image expansion, as well as the masking feature to redraw specific sections of an image.


๐Ÿ–ผ๏ธ Image Generation and Customization Options

This paragraph delves into the image generation process, starting with the Image Generation button. It explains the importance of tokens, which are used to generate images, and the various settings available to customize the output, such as the number of images, dimensions, aspect ratios, and guidance scale. The script also discusses the step count, which affects the level of detail in the images, and tiling for creating seamless patterns. It introduces the image upload feature for using existing images as a base for new creations, as well as advanced settings like fixed seed and scheduler for model selection. The paragraph concludes with a description of the main screen, emphasizing the prompts and negative prompts as crucial elements in guiding the image generation process.


๐Ÿ” Exploring Models and Prompt Magic Feature

The script provides an in-depth look at selecting models for image generation, emphasizing the importance of choosing the right model based on desired outcomes. It explains the availability of platform models vetted by Leonardo AI, community models created by users, and the option to create custom models. The paragraph also introduces the 'Prompt Magic' feature, which refines user prompts to better suit the stable diffusion algorithm. Additionally, it discusses the process of generating images using selected models and styles, and the ability to edit prompts for more personalized results. The script also mentions the importance of monitoring resolution changes when selecting models.


๐Ÿ› ๏ธ Training and Creating Custom Models

This section of the script focuses on the capability to train and create custom models using one's own images. It outlines the steps to create a new data set, including naming and describing it for clarity and precision. The script advises on uploading images of the same type and size to ensure consistency in the training process. It also explains how to access the Community Feed for image selection and the process of training a model using these images. The paragraph concludes with instructions on monitoring the training process and using the newly created custom models for future image generation.



๐Ÿ’กLeonardo AI

Leonardo AI is an online stable diffusion platform known for its unique features and intuitive user interface. It allows users to generate images based on trained models and community feeds. The video tutorial focuses on how to navigate and utilize Leonardo AI's features effectively.

๐Ÿ’กStable Diffusion

Stable Diffusion refers to a model used in artificial intelligence for generating images. In Leonardo AI, stable diffusion is used to create various types of images based on user prompts and pre-trained data sets. The video explains how to use stable diffusion to produce high-quality images.

๐Ÿ’กInvitation Only

Invitation Only means that access to Leonardo AI is restricted and users need an invite to join. The video explains how to get invited by submitting an email address and waiting for an invitation, typically sent out on Mondays.


A model in the context of Leonardo AI is a data set trained to generate specific types of images. The video covers different models available on the platform, such as portrait models, anime models, and more, explaining how to select and use them.

๐Ÿ’กCommunity Feed

The Community Feed in Leonardo AI showcases images created by other users. It allows users to see examples, understand prompts used, and replicate or build upon existing creations. The video demonstrates how to navigate and use the community feed for inspiration.

๐Ÿ’กAI Canvas Beta

AI Canvas Beta is a feature in Leonardo AI that allows users to perform outward painting or expand existing images. The video illustrates how to use this tool to modify and enhance images by extending their boundaries or redrawing specific sections.

๐Ÿ’กGuidance Scale

The Guidance Scale in Leonardo AI controls how strictly the generated images adhere to the user's prompts. A higher guidance scale ensures closer adherence to the prompts, while a lower scale allows more freedom. The video explains how to adjust this setting for optimal results.

๐Ÿ’กStep Count

Step Count determines the number of iterations the model uses to refine an image. Higher step counts can add more detail but take longer, while lower step counts are faster but may produce less detailed images. The video advises on finding a balance for best results.


Tiling is a feature that enables the creation of images that can seamlessly repeat, useful for patterns or wallpapers. The video explains how to use tiling to produce continuous, non-disjointed images in Leonardo AI.

๐Ÿ’กImage to Image

Image to Image is a functionality in Leonardo AI where users can upload an existing image to serve as the base for generating new images. This feature combines the base image with user prompts to create enhanced versions. The video shows how to utilize this for better control over the output.


Leonardo AI is an online stable diffusion platform with unique features and an intuitive UI.

Leonardo AI is currently invitation-only but easy to get access to.

Users can view featured models and examples of images created with each model.

Community Feed showcases images made by other users and their creation details.

AI Canvas Beta allows outward painting and image expansion.

Users can mask areas in an image for redrawing.

Image generation involves selecting the number of images, dimensions, and aspect ratios.

Tokens are used for generating images, with approximately 250 tokens granted per day.

Guidance scale and step count determine how closely the AI adheres to prompts and the level of detail in images.

Tiling feature creates seamless images for wallpapers or patterns.

Users can upload an image to use as a base for new image creation.

Advanced settings include fixed seed and scheduler for model selection.

Prompts and negative prompts guide the AI in what to include or exclude in the generated images.

Prompt Magic refines prompts for better AI understanding.

Leonardo AI allows users to create custom models from their own images.

Creating a data set requires precise description and image uniformity.

Training a model takes time and can be monitored through job status.

Prompt Generation feature helps create multiple sets of prompts for varied image ideas.