How to Train Your Own AI Model (LoRA) Using Personal or Favorite Celebrity Photos Without any GPU.

Akalanka Ekanayake
26 Sept 202303:04

TLDRIn this video, you'll learn how to train your own AI model using the Sea Art platform without needing a GPU. The guide walks you through setting up your data set with personal or celebrity photos, tagging your images, and configuring settings for model training. The demonstration uses photos of Selena Gomez, showing how to generate AI images with a custom model trigger word. Once trained, you can generate new images with your custom AI model, providing flexibility and creativity in image generation. Perfect for beginners and enthusiasts alike!

Takeaways

  • 🎯 AI image generation can be used to create images of yourself or your favorite celebrity, like Selena Gomez.
  • 🌐 The tutorial uses the SeaArt platform's model training feature to achieve this.
  • 🖥️ To start, look for the model and training option on the SeaArt platform, and click on 'Create' to start a new dataset.
  • 🖼️ You can upload personal or celebrity photos for the dataset by dragging and dropping or selecting with the plus icon.
  • 🏷️ The 'Tag Settings' option allows you to set trigger words for your model, like 'Selena' in the demo.
  • 💡 SeaArt suggests relevant keywords for your images to optimize the model.
  • ⚙️ Beginners can stick to the default settings in the advanced configuration, but advanced users can fine-tune their models.
  • ⏳ The model training may take some time, so be patient while the platform processes your data.
  • 📤 After training, the model is available under the 'LoRA' tab for generating images using your specified trigger word.
  • 🖌️ You can experiment with different base models like 'DreamShaper' to enhance image generation.

Q & A

  • What platform is used for training AI models in the video?

    -The platform used for training AI models in the video is Sea Art.

  • What is the first step after accessing Sea Art's website?

    -The first step after accessing Sea Art's website is to look for the 'Model and Training' option in the menu.

  • What kind of data set is used in the demonstration?

    -In the demonstration, the data set used consists of photos of Selena Gomez.

  • How do you upload images to the data set?

    -You can either drag and drop the images or use the plus icon to select them.

  • What feature allows you to set trigger words for your model?

    -The 'Tag Settings' option allows you to set trigger words for your model.

  • What is the default trigger word set in the video?

    -The default trigger word set in the video is 'Selena.'

  • What is the purpose of the advanced config section?

    -The advanced config section allows users to fine-tune their models, but for beginners, the default settings should suffice.

  • What base model is selected for training in the video?

    -The base model selected for training in the video is 'Dream Shaper.'

  • How will you know when the model training is complete?

    -Once training is complete, you will receive a notification from the platform.

  • How do you generate an image using the trained model?

    -To generate an image, head to the 'LoRA' tab, choose the freshly trained model, and type in a prompt, including the model's trigger word.

Outlines

00:00

🚀 Introduction to AI Image Generation

In this paragraph, the speaker introduces the concept of AI image generation. They capture the audience's attention by asking if they’ve ever wanted to create images with their own face or that of a celebrity. They announce that they’ll be demonstrating how to achieve this using the Sea Art platform’s model training feature.

🔍 Navigating Sea Art’s Model Training Feature

Here, the speaker walks through how to access the model and training options on Sea Art’s website. They instruct the audience to locate the 'Model and Training' option in the menu and click 'Create.' Afterward, they explain how to name the dataset and select the appropriate category for the image creation process.

🖼️ Uploading Images for Model Training

The speaker explains how to begin editing the dataset by uploading images, using Selena Gomez’s pictures as an example. They describe the drag-and-drop feature or using the plus icon to select images. This is the stage where users customize the dataset by uploading the necessary images.

📝 Setting Tags and Trigger Words

This paragraph covers how to set model trigger words, with 'Selena' being used as an example. The speaker highlights a useful feature where Sea Art suggests keywords based on the uploaded images. They encourage saving the tags once satisfied, and mention an advanced configuration section for users who want to fine-tune their models.

⏳ Starting the Model Training

Here, the speaker explains the steps to start training the model. They instruct users to provide a unique name for the model and select a base model like 'Dream Shaper.' The training process then begins, which may take some time. The speaker humorously suggests grabbing a coffee during the wait.

🔔 Training Complete: Generating AI Images

After the training is completed, users receive a notification. The speaker explains how to navigate to the 'Laura' tab to select the freshly trained model. They guide users through generating AI images by typing a prompt and including the trigger word ('Selena').

🎉 First AI Image with Selena Gomez

The speaker showcases the first AI-generated image of Selena Gomez using the trained model. They then decide to experiment with another model, 'Dream Shaper,' to show how different results can be achieved using different base models.

👏 Wrapping Up: Share Your Creations

The speaker concludes the video by encouraging viewers to try out Sea Art’s model training feature. They invite the audience to share their AI-generated images in the comments and thank them for watching. The video ends with a cheerful farewell and an invitation to tune in next time.

Mindmap

Keywords

💡Sea Art Platform

The Sea Art platform is a tool mentioned in the video that allows users to train AI models for image generation. It provides a user-friendly interface for uploading images, setting model parameters, and generating images with AI models. The platform is central to the video's message about training personal or celebrity image models.

💡Model Training

Model training in the context of this video refers to the process of teaching an AI model to recognize and generate images based on a provided dataset. Users can train models on Sea Art by uploading photos, tagging them, and selecting base models to fine-tune the results. This concept is fundamental to creating personalized AI-generated images.

💡Data Set

A data set is a collection of images that the user provides to train the AI model. In the video, the user uploads photos of Selena Gomez to serve as the data set. The quality and relevance of the images in the data set significantly impact the output of the trained model.

💡Trigger Word

A trigger word is a keyword that prompts the AI model to generate images using a specific set of data. In the video, 'Selena' is used as the trigger word to direct the AI model to use the trained images of Selena Gomez. Trigger words play a crucial role in controlling which dataset the AI uses when generating images.

💡Dream Shaper

Dream Shaper is a base model mentioned in the video, used as a foundation to build and train new AI models. Users can select it while configuring their model in Sea Art to create unique and customized image outputs. This base model offers a pre-trained foundation for new models.

💡Tags/Tagging

Tags are keywords or phrases that describe and categorize the images in the data set. In the video, tags help the AI understand the content of the images. The Sea Art platform can also suggest keywords based on the images, making tagging easier. Tagging is essential for improving the accuracy of the generated images.

💡Advanced Configurations

Advanced configurations refer to the settings in the Sea Art platform that allow users to fine-tune their model training process. Although the video suggests that beginners can use the default settings, advanced users can tweak these options to achieve more refined results. This feature is for users looking for more control over their model's output.

💡LoRA (Low-Rank Adaptation)

LoRA refers to a technique used in AI model training to fine-tune large models with a smaller dataset. This allows for more efficient and faster training without the need for significant computational resources like GPUs. The video demonstrates training a model using LoRA without any GPU, making it accessible for everyday users.

💡Generate

In the video, 'generate' refers to the process of creating AI images using the trained model. Once the model has been trained with the dataset and trigger word, users can type in a prompt and hit 'generate' to produce AI images that match their descriptions. This is the final step in using the trained model.

💡Notification

A notification in the context of the video refers to the alert users receive when their AI model has finished training on the Sea Art platform. This lets the user know that they can now use the trained model to generate images. The notification is essential for managing the waiting period during model training.

Highlights

Introduction to AI image generation using personal or celebrity photos.

Using the SeaArt platform for AI model training without a GPU.

Step-by-step guide on how to access SeaArt's model and training option.

Creating a dataset by uploading photos, demonstrated with Selena Gomez.

Option to drag and drop or use the plus icon to add images to the dataset.

Using the tag settings to set trigger words for the model, e.g., 'Selena.'

SeaArt's platform suggests keywords for your images after uploading.

Saving the tags and moving to advanced configuration for model fine-tuning.

Beginners can stick with the default settings for the model.

Starting the training process by naming the model and selecting a base model like Dream Shaper.

The training process takes some time, allowing users to relax during the wait.

Receiving a notification once the AI model training is complete.

Switching to the LoRA tab to access the newly trained model.

Generating an image using a prompt and including the trigger word for the model.

Successfully generating an AI image of Selena Gomez and experimenting with Dream Shaper.

Final note encouraging viewers to try SeaArt’s training feature and share their creations.