Leonardo AI - Master Generative AI Art Content Creation

Hey everybody, and welcome to the first lecture of this section. Let’s create our first work with Leonardo.ai!

Covered in the video:

• Getting familiar with the platform's interface.

• Exploring Leonardo's community page.

• Remixing images from the community.

Let’s continue exploring the Leonardo.ai platform.

Now that you have a general idea of what is possible to create with Leonardo and have probably already noticed your favourite AI models and styles, let’s practice creating an image from scratch.

Covered in the video:

• How to create an image from scratch with the text instruction (prompt).

In the previous video, we briefly talked about selecting an AI model that will be used to generate an image. This model will have a major impact on the quality of the final output, so the decision on which model to choose is important.

Covered in the video:

• What is an AI model?

• What models are currently available in Leonardo?

• How to choose the right model for your work.

In this video, we'll explore how to influence the image generation process with Leonardo.ai's Presets and Elements features.

Covered in the video:

• How to choose and apply Presets to transform your images in seconds.

• How to apply Elements for achieving your desired style and visual outcome.

Now that we’ve covered the basics of starting the image generation process with Leonardo, let’s talk about how you can organize your generated content.

Covered in the video:

• How to create and structure Leonardo's Collections.

• How to save your work into the Collections.

In the upcoming lecture, we’ll continue exploring other settings you can rely on when generating images with Leonardo.ai.

Covered in the video:

• How to use Leonardo's PhotoReal function.

Oftentimes you may want to make some adjustments to already generated images, and Leonardo.ai provides many possibilities to do this.

In this lecture, let’s talk about some of the easiest methods to upscale and refine your image.

Covered in the video:

• What are Upscaling and Refining?

• How to use Upscaling and Refining tools in Leonardo.ai.

In this video, Anna will share her top-five recommendations for creating a good prompt - one that, together with other tools, helps you to get high-quality visuals that are closely aligned with your original vision.

Covered in the video:

• Five recommendations for creating a great prompt with Leonardo.ai.

Hey everyone, welcome to the new lecture of the course! Now that you know how to structure your prompt to achieve the best outcomes, let’s talk about several other tools available on the Leonardo.ai platform for ideating and improving your prompts.

Covered in the video:

• New Random Prompt feature.

• Improve Prompt feature.

• Edit with AI feature.

• Describe with AI feature.

In this and the next several videos, let's talk about using reference images in the image generation process.

Covered in the video:

• How to work with Image-to-Image reference.

In this video, we will talk about other reference features that give you much more control over how the reference image will be used by the AI model.

Covered in the video:

• How to work with Style reference images.

In the upcoming video, we’ll also restyle our existing images using other types of references called content reference and pose-to-image.

Covered in the video:

• How to work with Content reference.

• How to work with Post-to-image reference.

Hey everyone, welcome back!

In this tutorial, Anna will show you another example of using an image as a content reference for creating texts.

Covered in the video:

• How to use Content reference for creating texts.

So far, all of the reference image examples were about using an existing image as a style reference.

In addition to this, you can generate an image with Leonardo and then choose it as a reference for your next work in just one click.

Covered in the video:

• Experimenting with generating a reference image.

• Trying out two other reference types - Edge to image and Depth to image.

Hey everyone, welcome back to the video on Leonardo.ai text-to-image function.

This time we will learn about yet another capability - creating transparent images.

Covered in the video:

• How to remove image's background.

• How to create an image with a transparent background.

The first use case we are going to explore is using Leonardo.Ai for creating marketing materials.

Imagine you work as a social media manager for an eco-friendly tour company that offers guided nature experiences.

You’d like to create captivating social media content to inspire your subscribers to start planning their next trip, and you want this content to showcase the scenic beauty of your locations without investing in complex and expensive location photoshoots.

You can use Leonardo.Ai to create images for your company's Instagram feed, stories, and reel covers.

Covered in the video:

• How to create an image for your social media.

• How to generate images in a specific style, unique to your brand.

The second use case we will discuss is using Leonardo.Ai for product prototyping and product visualizations. This is useful for pitching ideas to investors, conducting market research, or gathering feedback before committing to expensive manufacturing processes.

Imagine you work as a product designer in a company that specializes in the design and manufacturing of robotic toys. Each toy is equipped with advanced features to assist in learning sounds, rhythm, motion, and other critical developmental skills.

You and your team would like to conduct an ideation workshop to get some inspiration and fresh ideas for a new toy design.

You decide to useLeonardo.Ai software for the job.

Covered in the video:

• Examples of using Leonardo.ai for product prototyping.

Let’s continue exploring Leonardo.Ai’s use-cases.

Apart from brainstorming and developing concepts for physical product, you can rely on Leonardo for ideating interface designs for mobile or web applications.

Let’s open Leonardo to see the demo.

Covered in the video:

• How to create use Leonardo.ai to ideate design concepts for software products.

• Limitations of using Leonardo.ai for UX/UI design.

In this lecture, we will go through an overview of the AI landscape as of today.

Covered in the video:

• What is AI?

• What are machine learning foundational learning methodologies?

• Overview of AI application areas.

• What is Generative AI?

Hey everyone, and welcome back to the series of lectures where we cover AI fundamentals. In this lecture we’ll find out how AI art generation technology has evolved over time.

Covered in the video:

• When Generative AI research has started.

• Overview of the first breakthrough in the field of image generation - GANs models.

• Overview of the next breakthrough - transformer models.

• Overview of yet another breakthrough - diffusion models.

In this lecture, let’s explore how AI art generation actually works. What happens after you enter a text prompt and hit Generate? And if and how can you influence the art generation process?

Covered in the video:

• A four-step process for how AI generates art.

Here we are going to take the next step in working with generated images and bring them to life using Leonardo.AI's Motion module.

Covered in the video:

• Creating short-form video clips with the platform's easy-to-use interface.

Hey everyone, welcome to the first tutorial of this section.

Let’s begin by creating a dataset of images that we’ll use to train the model.

Covered in the video:

• Key recommendations for creating your dataset of images for model training.

• How to create a dataset and upload your images to the platform.

Hey everyone, welcome to the next tutorial in this section.

Now that our dataset is ready, let’s train our model.

Covered in the video:

• How to train a model with Leonardo.ai.

• Generating the first images with the new model and deciding on the improvements that need to be done.

If the results you see from testing your model are not satisfactory or you want to make improvements, you can retrain a new model.

Let's find out how to do this.

Covered in the video:

• How to make changes in your existing dataset.

• How to retrain a model.

Let's learn the basics of using Leonardo.ai's Realtime Canvas!

Covered in the video:

• Overview of the Realtime Canvas interface.

• Examples of using the Realtime Canvas tools for transforming a simple drawing into a stunning artwork.

Hey everyone, welcome back to the tutorial on Realtime Canvas!

As promised in the previous tutorial, let’s see what else you can do to improve this image.

With Realtime Canvas, you can refine the outputs further by using the Output to Input feature.

Covered in the video:

• How to improve the output with Leonardo.ai's Output to Input feature.

In this tutorial, Anna will show you how you can combine several of your existing images into the canvas to create a creative and unique final image.

Covered in the video:

• How to combine your existing images and newly generated images in Realtime Canvas.