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

In this tutorial, viewers learn to train an AI model using the Sea Art platform, without the need for a GPU. By selecting a dataset of personal or favorite celebrity photos, users can create unique images. The process involves naming the dataset, uploading photos, setting tags, and choosing a base model. After training, users can generate AI images by including the model's trigger word in their prompts. The video encourages viewers to experiment with the platform and share their creations.

Takeaways

• 🚀 Start by navigating to the 'Model Training' feature on the Sea Art platform's website.
• 📝 Create a new dataset by naming it and selecting the appropriate category.
• 🎨 Add images to your dataset by dragging and dropping or using the plus icon to upload.
• 🌟 Choose your favorite celebrity's photos or use your own for personalized AI image generation.
• 🏷️ Utilize the 'Tag Settings' to define model trigger words, such as the celebrity's name.
• 🔍 The platform suggests keywords for your images, aiding in accurate tagging.
• 🔧 Explore the 'Advanced Config' for fine-tuning your model if you're an experienced user.
• ⏱️ Training the model may take some time; be patient and wait for the notification that it's done.
• 🏃‍♂️ Once trained, access your model under the 'LoRA' tab and click 'Generate' to start creating images.
• 📝 When prompted, include your model's trigger word in the text input to generate images with the specified features.
• 🎉 Share your AI-generated creations with others to showcase the results of your training efforts.

Q & A

What is the main topic of the video?

The main topic of the video is training your own AI model using personal or favorite celebrity photos without any GPU.

Which platform is used for AI image generation in the video?

The platform used for AI image generation is 'sea art.'

How can you start the process of creating a dataset on the sea art platform?

You can start by looking for the model and training option in the menu, then click on 'create' to begin setting up your dataset.

What kind of images can you use for training the AI model?

You can use personal photos or photos of your favorite celebrity, such as Selena Gomez, for training the AI model.

How do you set the model trigger word?

You set the model trigger word through the tag settings option, where you can specify a keyword that will activate the model, like 'Selena'.

What is the purpose of the advanced config section?

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

What is the next step after setting up the dataset and tags?

After setting up the dataset and tags, you click on 'start training' to begin the training process for your model.

How long does the training process typically take?

The training process might take some time, so the video suggests grabbing a coffee and relaxing while it completes.

Once the model is trained, where do you find it to start generating images?

After the model is trained, you can find it under the 'LoRA' tab, where you can select it and start generating images.

What is required to generate an image with the trained model?

To generate an image, you need to click on 'generate' and type in a prompt that includes your model's trigger word.

Can you switch between different models to generate images?

Yes, you can switch between different models, such as the 'dream shaper' model, to generate a variety of AI images.

What should you do with your creations after generating them?

You can share your creations in the comments section below the video to showcase your AI-generated images.

Outlines

00:00

🎨 Introduction to AI Image Generation with Sea Art

The video begins by introducing the audience to the world of AI image generation, specifically using the Sea Art platform. It guides viewers on how to create personalized images using their own faces or those of celebrities. The process involves using the platform's model training feature, starting with accessing the website and selecting the 'model and training' option. The viewer is instructed to create a dataset, name it, and choose a category. The fun part is adding images to the dataset, either by dragging and dropping or using the plus icon to select them. The video uses Selena Gomez's photos for demonstration. It also mentions the tag settings for setting model trigger words and how the platform suggests keywords for the images. After setting tags, viewers are advised to save their work and proceed to the advanced configuration if they wish to fine-tune their model. For beginners, the default settings are recommended. The video then moves on to the training process, where viewers are prompted to start training, provide a unique model name, and select a base model. Training may take some time, so viewers are advised to relax. Once the model is trained, a notification is received, and viewers can proceed to the Laura tab to select their model and generate images using a prompt that includes the model's trigger word.

Keywords

💡AI image generation

AI image generation refers to the process of creating images using artificial intelligence algorithms. It is a form of computer vision technology that enables the creation of new, realistic images by training AI models on existing data. In the video, AI image generation is the main theme, and it is demonstrated by training a model to create images featuring Selena Gomez's face.

💡Sea Art platform

Sea Art is a hypothetical platform mentioned in the script that offers a model training feature for AI image generation. The platform is used to upload personal or favorite celebrity photos to train a model that can generate images. It is central to the video's demonstration of how to train an AI model without using a GPU.

💡Model training

Model training in the context of AI refers to the process of teaching a machine learning model to make predictions or decisions based on data. In the video, model training is the step where the user uploads images of a specific person to train the AI to recognize and generate images with that person's likeness.

💡Dataset

A dataset is a collection of data that is used for training machine learning models. In the video, the user creates a dataset by uploading photos of Selena Gomez, which will be used to train the AI model to recognize and generate images of her.

💡Trigger word

A trigger word is a keyword or phrase that is used to activate or prompt a specific response from an AI model. In the video, 'Selena' is set as the trigger word, which means that when the user inputs this word during the image generation process, the AI will generate images featuring Selena Gomez.

💡Tag settings

Tag settings are configurations that allow users to define keywords associated with the images in a dataset. These tags help the AI model understand the context and content of the images. In the video, the user sets 'Selena' as a tag to associate the uploaded images with Selena Gomez.

💡Advanced config

Advanced config refers to more complex settings that allow users to fine-tune their AI models. These settings are typically used by users with more experience or specific requirements for their models. In the video, it is mentioned that for beginners, the default settings are sufficient, but advanced users can adjust these configurations.

💡Start training

Starting the training process is the action of initiating the learning phase of the AI model. In the video, the user clicks 'start training' to begin the process of teaching the AI to generate images with the uploaded photos' characteristics.

💡Base model

A base model in AI is a pre-trained model that serves as a foundation for further training. It can be used to build upon and customize for specific tasks. In the video, 'Dream Shaper' is mentioned as a base model that the user can choose to build their custom AI model upon.

💡Notification

A notification is an alert or message that informs users of updates or changes, such as the completion of a process. In the video, the user receives a notification when the AI model training is complete.

💡AI generated image

An AI generated image is a visual output created by an AI model using the data and instructions it has learned during the training process. In the video, the user generates an image featuring Selena Gomez using the trained AI model, showcasing the result of the AI image generation process.

💡Dream Shaper model

The Dream Shaper model is a specific AI model mentioned in the video that can be used for generating images. It is one of the options the user can choose to generate different styles of images using the trained AI model.

Highlights

Explore the world of AI image generation using personal or favorite celebrity photos.

Utilize the Sea Art platform's model training feature to create custom AI models.

Begin by navigating to the model and training option on Sea Art's website.

Create a new dataset by providing a name and selecting an appropriate category.

Edit the dataset with photos of your choice, such as Selena Gomez.

Use the tag settings to set model trigger words, like 'Selena'.

The platform suggests keywords for your images after uploading them.

Save your tags after you are satisfied with the settings.

Advanced configuration options are available for fine-tuning the model.

Begin the training process by providing a unique name and selecting a base model like Dream Shaper.

Training may take some time, so relax while the model is being trained.

Receive a notification once the model is trained and ready to use.

Select your trained model under the LoRA tab to start image generation.

Generate images by typing in a prompt and including your model's trigger word.

Witness the creation of your first AI-generated image with the selected celebrity.

Experiment with different models like Dream Shaper for a variety of AI-generated images.

Share your creations and experiences with the community in the comments section.

Enjoy the process of AI image generation and explore the possibilities offered by Sea Art's training feature.