Leonardo AI Tutorial: Train AI Art Model with Leonardo AI (aka Dataset)

Wade McMaster - Creator Impact
24 Mar 202305:11

TLDRThis tutorial showcases how to train an AI art model using Leonardo AI, focusing on creating a dataset with royalty-free images from pixels.com. The process involves uploading images, training the model, and generating AI images with specific characteristics. The video provides tips for image preparation in Photoshop or Canva, emphasizing the importance of consistent framing and resolution for high-quality training. It encourages experimenting with different subjects, such as people, artwork, or objects, to create unique AI-generated art.

Takeaways

  • 😀 The tutorial is about training an AI art model using Leonardo AI, also known as Dataset.
  • 🎨 To create a new dataset, go to 'Training and Datasets' and click 'New Dataset'.
  • 📸 For training, use high-quality images from royalty-free sources like pixels.com.
  • 🖼️ Ensure images are of consistent resolution, such as 768x768, for better training results.
  • 🔍 During dataset creation, you can specify the model type, like 'characters', and give it a name.
  • 💡 The training process may take from half an hour to a few hours, depending on the model's complexity.
  • 🔄 Post-training, you can edit the dataset, upload more images, or retrain the model.
  • 🔎 In AI image generation, use the model's reference word to generate images with specific characteristics.
  • 🎭 You can modify the generated images by adding descriptors, like 'angry green She-Hulk', to alter the output.
  • 🖥️ For best results, create and frame your images in the desired training size using tools like Photoshop or Canva.
  • 🌟 Explore different effects and ideas by training models with various subjects, such as people, artwork, or objects.

Q & A

  • What is the process for training an AI art model in Leonardo AI?

    -To train an AI art model in Leonardo AI, you need to log in, go to 'training and data sets', create a new data set, upload images of the subject with a consistent resolution, and then start the training process by specifying the model type and other settings. The training can take from half an hour to a few hours.

  • What limitations does the free plan in Leonardo AI have?

    -The free plan in Leonardo AI has limitations which are not explicitly mentioned in the script, but it is implied that there are restrictions on the number of trainings and possibly the resolution of the images that can be used.

  • Why did the user choose to use images from pixels.com for training the AI model?

    -The user chose images from pixels.com because all the images there are royalty-free and can be used for commercial purposes, which is important when training an AI model for potential commercial use.

  • What resolution did the user use for the images in the 'pixels girl' data set?

    -The user used a resolution of 768 by 768 for the images in the 'pixels girl' data set.

  • What is the significance of the term 'pixels girl' in the context of the tutorial?

    -The term 'pixels girl' is used by the user to refer to the model they are training. It is a keyword that helps identify the model during the AI image generation process.

  • How can one modify the generated AI art model to create different effects?

    -To modify the generated AI art model and create different effects, one can input different keywords and settings during the AI image generation process, such as specifying an 'angry green She-Hulk' to alter the model's appearance.

  • What is the recommended size for creating images for training a model in Leonardo AI?

    -It is recommended to create images at the size of 512 by 512 or 768 by 768, depending on the resolution you plan to use for training, to ensure the best quality training.

  • How can one frame images consistently for training in Photoshop?

    -In Photoshop, one can create a new file with the desired resolution, use 'Place Embedded' to add the image, and then export it as a JPEG or PNG for consistent framing.

  • Canva is mentioned as an alternative to Photoshop, how does one use it to prepare images for training?

    -In Canva, one can create a design with a custom size matching the training resolution, upload and size the image within the frame, and then download it as a PNG or JPEG for training.

  • What are some other ways to use the trained AI art model besides generating images of people?

    -The trained AI art model can also be used to generate images of artwork, objects, or any other subject matter, as long as there are sufficient images for training and the user has the necessary permissions.

Outlines

00:00

🤖 Training a Custom AI Model with Leonardo AI

The speaker provides a step-by-step guide on how to train a custom AI model using Leonardo AI. They begin by logging in and navigating to the 'training and data sets' section, where they can create a new data set. The speaker chooses images from pixels.com to ensure royalty-free use, emphasizing the importance of selecting images with consistent framing and resolution (768 by 768). They demonstrate the process of uploading images, naming the data set 'pixels girl,' and selecting model parameters such as resolution and model type ('characters'). The training process is initiated, and the speaker notes that it can take from half an hour to a few hours, with an email notification upon completion. After training, the speaker shows how to edit the data set, upload more images, and retrain the model. They then proceed to the AI image generation section, where they input keywords and select a custom model to generate new images. The speaker generates images with modifications like 'angry green She-Hulk' and discusses the results, highlighting the model's ability to maintain facial features and create high-resolution images. The paragraph concludes with advice on image preparation for training, suggesting the use of Photoshop or Canva to frame and export images at the desired resolution.

05:02

👍 Wrapping Up the Tutorial Video

In the concluding paragraph, the speaker invites viewers to like the video if they found it helpful. They express gratitude for watching and look forward to seeing viewers in the next video, wishing them a great day. This paragraph serves as a polite and friendly sign-off, emphasizing the speaker's appreciation for the audience's engagement and interest in the tutorial.

Mindmap

Keywords

💡Leonardo AI

Leonardo AI is a platform mentioned in the video that allows users to train AI models for generating art. The video tutorial focuses on how to utilize this platform to create custom AI models for generating images. It's used as the main tool for the demonstration, highlighting its features and capabilities.

💡Training

Training, in the context of the video, refers to the process of teaching an AI model to recognize and replicate certain features or styles. It involves uploading a dataset of images and letting the AI learn from them. The video demonstrates how to initiate this process on Leonardo AI.

💡Dataset

A dataset in this video is a collection of images that are used to train the AI model. The creator of the video uploads a set of images to Leonardo AI, which the AI then uses to learn and generate new images. The term is crucial as it forms the basis of the AI's learning material.

💡Pixels

Pixels, as used in the video, refers to a website where the creator found images for training the AI model. The term is significant as it provides a source of royalty-free images suitable for training purposes, ensuring legal and ethical use of the content.

💡Resolution

Resolution in the video pertains to the dimensions of the images used for training the AI model. The creator specifies a resolution of 768 by 768, which is important for maintaining consistency and quality in the training process and the final output.

💡Model

In the context of the video, a model refers to the AI's ability to generate images based on the training it has received. The creator trains a 'pixels girl' model, which is then used to generate new images with specific characteristics, such as an 'angry green She-Hulk'.

💡Fusion 2.1

Fusion 2.1 is a specific version or setting mentioned in the video for training the AI model on Leonardo AI. It likely refers to an algorithm or software version used to process the training data and generate the AI's output.

💡AI Image Generation

AI Image Generation is the process of creating new images using the trained AI model. The video shows how to input keywords and select a custom model to generate images with desired characteristics, demonstrating the practical application of the trained model.

💡Custom Model

A custom model in the video is an AI model that has been trained with a specific dataset by the user. The creator generates images using a custom model named 'blonde girl', showcasing the personalization and creativity enabled by training AI models.

💡Upscale

Upscaling in the video refers to the process of enhancing the resolution or quality of the generated images. The creator upscales the images to improve their detail and clarity, demonstrating a step in post-generation image processing.

💡Photoshop

Photoshop is mentioned as a tool for preparing images for training the AI model. The video provides instructions on how to use Photoshop to create images at a specific resolution, which is crucial for the training process on Leonardo AI.

💡Canva

Canva is suggested as a free alternative to Photoshop for image preparation. The video explains how to use Canva to create images at a specific size for training the AI model, providing a more accessible option for those without Photoshop.

Highlights

Leonardo AI simplifies the process of training your own AI art model.

Access the training and data sets section after logging into Leonardo AI.

Create a new data set by selecting 'new data set'.

Use royalty-free images from pixels.com for training to avoid copyright issues.

Ensure all images are of the same resolution, such as 768 by 768 pixels.

Upload images to the data set and click 'train model' to begin the training process.

Choose a model type, such as 'stable to Fusion 2.1' and 'characters'.

Use a specific keyword to reference the person in the model, like 'pixels girl'.

Training can take from half an hour to a few hours, with an email notification upon completion.

Edit the data set or upload more images to retrain the model as needed.

Generate AI images using the trained model and specific keywords.

Select 'custom model' to use your trained model for image generation.

Customize the generated images with settings such as resolution and color.

Compare the generated images with the original photos to assess the model's performance.

Use Photoshop or Canva to prepare images for training at the desired resolution.

Consistent framing and resolution are crucial for effective model training.

Experiment with different effects and see what unique images you can create.

Explore Leonardo AI's models for inspiration and to understand the variety of applications.

Enjoy the creative process and have fun experimenting with AI-generated art.