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, the presenter guides viewers through the process of creating personalized AI-generated images using the Sea Art platform. The tutorial covers model training with a custom dataset, such as photos of Selena Gomez, setting trigger words, and fine-tuning with tags. The excitement builds as the model is trained and used to generate an AI image of Selena Gomez, demonstrating the platform's capabilities and encouraging viewers to experiment and share their creations.

Takeaways

  • 🎨 Begin by accessing the Sea Art platform's model training feature from the website's menu.
  • 📝 Create a new dataset by naming it and selecting the appropriate category.
  • 🖼️ Edit the dataset by uploading images, either by dragging and dropping or using the plus icon.
  • 🌟 Utilize the tag settings to define model trigger words, such as 'Selena' for the demonstration.
  • 🤖 The platform suggests keywords for your images to assist in tagging.
  • 🔧 There's an advanced config section for users who want to customize their model beyond default settings.
  • 🚀 Start the training process by providing a unique name and choosing a base model like 'Dream Shaper'.
  • ☕ Training may take time, so it's advised to take a break while waiting.
  • 📣 Once trained, you'll receive a notification and can access your model under the 'Model' tab.
  • 🎉 Generate AI images by typing in a prompt, including your model's trigger word.
  • 🌈 Experiment with different models to achieve a variety of AI-generated images.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is AI image generation, specifically using the Sea Art platform to create images with custom faces or celebrities.

  • How does one begin the process of AI image generation on Sea Art?

    -To begin, one should visit Sea Art's website, find the 'model training' option in the menu, and click on 'create' to start setting up the data set.

  • What categories are available for selecting the type of images to train the AI model?

    -The script does not specify the exact categories, but it implies that there are various options to choose from when selecting the type of images for the AI model.

  • How many photos of Selena Gomez does the demonstrator use in the video?

    -The exact number is not mentioned, but the demonstrator uses multiple photos of Selena Gomez for the demonstration.

  • What is the purpose of the 'tag settings' option in the Sea Art platform?

    -The 'tag settings' option allows users to set model trigger words, which are used to generate images with specific features or characteristics.

  • What trigger word does the demonstrator choose for their AI model?

    -The demonstrator chooses 'Selena' as the trigger word for their AI model.

  • What is the 'advanced config' section for?

    -The 'advanced config' section is for users who wish to fine-tune their model with more specific settings beyond the default options.

  • How long does the model training process take?

    -The exact duration is not specified, but it is mentioned that it might take some time, suggesting that users should be patient and wait for a notification that the training is complete.

  • What should be included when generating an image with the trained model?

    -When generating an image, users should include a prompt and their model's trigger word to ensure the AI generates the desired image.

  • How can users share their creations made with the Sea Art platform?

    -Users can share their creations in the comments section of the video, as suggested by the demonstrator.

  • What is the final result of using the Sea Art platform's model training feature?

    -The final result is the generation of AI-created images with the inputted face or celebrity features, as demonstrated by the image of Selena Gomez.

Outlines

00:00

🎨 Introducing AI Image Generation with Sea Art

This paragraph introduces viewers to the exciting world of AI image generation, specifically using the Sea Art platform. It explains the process of creating personalized images using one's own face or a celebrity's face, like Selena Gomez in the demonstration. The steps include navigating to the model training section on Sea Art's website, creating a dataset, selecting a category, and uploading photos. The paragraph also touches on the tagging system, which allows users to set trigger words for their models, and the advanced configuration options for fine-tuning the model. The anticipation builds up to the training process, which may take some time, and the final result of generating an AI image with Selena Gomez's likeness.

Mindmap

Keywords

💡AI image generation

AI image generation refers to the process of creating visual content using artificial intelligence algorithms. In the context of the video, it involves using AI to generate images featuring the user's face or a celebrity's face, like Selena Gomez. This technology is at the core of the video's theme, showcasing how AI can be used to personalize and create unique visual content.

💡Sea Art platform

The Sea Art platform is an online service mentioned in the video that allows users to train AI models for image generation. It provides a user-friendly interface for uploading images, setting tags, and defining trigger words to generate AI images. The platform is central to the video's demonstration, as it is the tool used to achieve the main objective of creating personalized AI-generated images.

💡Model training

Model training in the context of AI image generation involves the process of teaching an AI system to recognize and produce images based on a dataset of images provided by the user. In the video, model training is the step where users upload photos and set up the parameters for the AI to learn from, enabling it to generate new images with similar characteristics.

💡Dataset

A dataset in AI image generation is a collection of images that are used to train the AI model. It is crucial for the model to learn the features and characteristics it should reproduce in the generated images. In the video, the dataset is created using photos of Selena Gomez, which the AI will use to generate new images with her likeness.

💡Tags and trigger words

Tags and trigger words are labels or phrases associated with the images in the dataset that help the AI model understand the content and context of the images. A trigger word, in particular, is used to prompt the AI to generate an image when included in a user's prompt. In the video, 'Selena' is set as a trigger word for the model trained on Selena Gomez's images.

💡Advanced config

Advanced config refers to the optional settings in the Sea Art platform that allow users with more experience or specific requirements to fine-tune their AI models beyond the default settings. These configurations can include various parameters that influence the output of the AI-generated images.

💡Start training

Start training is the action of initiating the process where the AI system begins to learn from the provided dataset. This is a critical step in AI image generation as it marks the beginning of the model's development, which will eventually lead to the creation of new images.

💡Base model

A base model in AI image generation is a pre-existing AI model that serves as the foundation for further customization and training with a user's dataset. It is selected by the user to serve as the starting point for generating new images.

💡Generate

In the context of the video, 'generate' refers to the action of creating new AI images using the trained model. The user inputs a prompt that includes the model's trigger word, and the AI produces an image based on the learned characteristics from the training dataset.

💡AI-generated image

An AI-generated image is a visual output created by an artificial intelligence system that has been trained on a dataset of images. These images are not pre-existing but are produced by the AI based on the patterns and features it has learned from the training data.

💡Personalization

Personalization in the context of AI image generation refers to the customization of AI models to produce images that reflect the unique characteristics of an individual or a specific subject, such as a celebrity. This allows users to create images that are tailored to their preferences or interests.

Highlights

Exploring AI image generation with the Sea Art platform.

Creating images with personal or celebrity faces using AI.

Utilizing Sea Art's model training feature for AI image generation.

Selecting and naming a dataset, choosing a category.

Editing the dataset and uploading images of Selena Gomez.

Using the tag settings option to set model trigger words.

Platform suggesting keywords for the images after upload.

Saving tags and adjusting advanced settings for model fine-tuning.

Starting the training process with a unique model name.

Waiting for training completion and receiving a notification.

Accessing the gallery tab with the trained model.

Generating an AI image with a prompt and the model's trigger word.

Creating an AI image with Selena Gomez's likeness.

Experimenting with different models like Dream Shaper.

Seamless AI image generation process demonstrated.

Encouraging users to try the Sea Art training feature and share creations.

Invitation to join future AI image generation sessions.

Casual Browsing

Train your own LORA model in 30 minutes LIKE A PRO!

2024-04-17 05:00:00

Train Your Own LoRa Model Online (Website) with XL Support : A Complete Tutorial

2024-03-27 21:35:00

how to train any face for any model with embeddings | automatic1111

2024-04-15 15:20:01

OpenArt Tutorial: Train Your Own Model (AI Image Generation 2024)

2024-05-15 05:25:01

Run Hugging Faces Spaces Demo on your own Colab GPU or Locally

2024-03-29 05:20:00