Create Your Own AI Art Model with Open Art's Photobooth! (NO CODE BEST DREAMBOOTH)

In this video, the host introduces Open Art's Photobooth, a user-friendly AI technology based on Google's Dream Booth. The technology allows users to train their own AI model using a series of photos of a person, pet, object, or even a specific art style. The resulting AI model can then generate new images based on the provided photos. The host highlights the simplicity of Open Art's platform, which offers distinct capabilities and a streamlined process for beginners in the AI art space. The video showcases various examples of AI-generated images, including the host as himself, Napoleon Bonaparte, an action hero, and even an evil demon clown. The process of creating a model involves selecting a category, uploading photos, and providing an identifier and class for the model. The host also discusses the preset packages available for purchase, which can enhance the model's output. The video concludes with a demonstration of the upscaler feature, which improves the resolution and detail of the generated images, and an invitation to explore Open Art's Photobooth further.

Takeaways

• 🎨 The video introduces Open Art's Photobooth, an open-source AI technology for creating personalized AI art models based on text-to-image generation.
• 📸 Users can train AI models using a series of photos of a person, pet, object, or style to generate new images, offering a complex image-to-image training experience.
• 🌟 Open Art's version, called Photobooth, has distinct capabilities and aims to simplify the process of creating AI art models.
• 💡 Beginners in AI art can start with Open Art's Photobooth, which provides a straightforward interface and guidance.
• 🖼️ The video showcases examples of AI-generated images, including ones that resemble the presenter and various characters or styles.
• 📂 Users can select different categories for their AI model, such as person, pet, character, art style, object, or others.
• 🛍️ Open Art offers preset packages for different themes, which can be applied to the AI model to enhance its training.
• 🆓 The first preset package is free, and additional ones can be purchased from the store to improve the model's training.
• 📈 The platform includes upscaling and face enhancement options to improve the quality of the generated images.
• 📝 Users need to follow specific guidelines for the type of images to upload for training the AI model, ensuring diversity and consent.
• 🚀 The possibilities for AI art generation are vast, allowing for creative and personalized outputs tailored to individual preferences.

Q & A

What is the main topic of the video?

The main topic of the video is about creating an AI Art Model using Open Art's Photobooth, which is an open-source technology for text-to-image generators.

How does the Photobooth technology work?

Photobooth technology allows users to take a series of photos of a person, pet, object, or style, and then generate new images based on those photos, essentially training an AI model based on the user's preferences.

What are the distinct capabilities of Open Art's Photobooth?

Open Art's Photobooth offers a streamlined process for creating AI models, with options to create photos for a person, pet, character, art style, object, or others. It also provides preset packages for different scenarios and the ability to upscale and enhance the generated images.

What are the guidelines for training a model on oneself?

For training a model on oneself, one should provide 20 to 30 photos, including 15 close-up portrait photos of the face, three photos of half the body (chest up), and two photos of the full body. The person should be centered in each photo, and diversity in clothing and location is encouraged.

What is a preset package in the context of Open Art's Photobooth?

A preset package in Open Art's Photobooth is a pre-defined set of styles or themes that can be applied to the AI model to generate images. These packages range from holiday vibes to specific characters and can enhance the model's output.

How much does it cost to purchase a model in Open Art's Photobooth?

The first preset package is free, and additional preset packages in the store cost five dollars each. The model training beta, which includes 400 images, is priced at ten dollars.

What are the privacy considerations when using Open Art's Photobooth?

Users are reminded to get consent from friends and family before using their images. Additionally, models are deleted after one month of creation to maintain privacy.

How long does it take to train an AI model in Open Art's Photobooth?

Once the training request is submitted, it takes anywhere from 30 minutes to 90 minutes for the model to be trained.

What are the options for upscaling and enhancing the generated images?

Open Art's Photobooth offers several upscaling options, including two times resolution, four times resolution, and enhancements such as face restoration and anime style upscaling.

Can users create AI models for pets or specific characters?

Yes, users can create AI models for pets, specific characters, or even art styles. The platform provides categories and guidelines for each type of model to ensure the best results.

What is the process for generating more images with an existing AI model?

To generate more images with an existing AI model, users can simply click on the 'Generate Eight More' button and apply the desired preset packages to produce new images.

How does the video creator describe the potential of AI in the art space for beginners?

The video creator describes the potential of AI in the art space as vast, stating that for beginners, there is no better place to start than with Open Art's Photobooth due to its user-friendly interface and the ability to create personalized AI art models.

Outlines

00:00

🎥 Introduction to OpenArt's DreamBooth

The video begins with a greeting to the viewers and an introduction to a previous video about Google's DreamBooth, an open-source AI research project. The host explains that DreamBooth is a text-to-image generator that can create new images based on a series of photos of a person, pet, object, or style. The host has collaborated with OpenArt, a company that has released its own version called Photo Booth, which offers distinct capabilities. The video promises to explore these features and provides a quick look at some AI-generated images of the host, including a convincing image of the host as Napoleon Bonaparte and an action movie hero, demonstrating the technology's potential.

05:02

🖼️ Exploring OpenArt's Photo Booth Capabilities

The host discusses the user-friendly interface of OpenArt's Photo Booth, which allows users to create AI models of themselves, friends, family, pets, characters, art styles, and specific objects. The process is streamlined, and the host highlights the preset packages available in the store that can enhance the AI model with a variety of themed images. The first preset package is free, and additional packages can be purchased. The host also explains the process of training a model, which includes selecting images and providing an identifier and class for the training object. The video shows how to upload images and fill out the necessary fields to start the training process.

10:03

🍋 Creating a Lemon Character Model

The host demonstrates how to create an AI model using a folder of lemon images, aiming to generate a 'lemon character.' The process involves naming the model, selecting an identifier, and adding descriptive prompts. After uploading the images and applying the settings, the host submits the training request. While waiting for the training to complete, the host explores other models, such as an anime-style image of themselves and a cartoon version of their dog. The video also shows the upscaling and enhancement options available for improving the resolution and facial details of the generated images.

15:04

🚀 Conclusion and Call to Action

The host concludes by praising the technology and encouraging viewers to try OpenArt's Photo Booth. They provide a link in the video description for viewers to access the service and invite them to join their Discord community for more resources. The host also reminds viewers to subscribe to the channel and check out other videos, expressing gratitude for watching and promising to see them in the next video.

Keywords

💡Dream Booth

Dream Booth is an open-source research project by Google that focuses on AI technology for text-to-image generation. It allows users to train an AI model using a series of photos to generate new images based on the provided ones. In the video, it is used to create personalized AI art models, such as images of a person, pet, or object in various styles or scenarios.

💡Open Art

Open Art is a company that has developed its own version of the Dream Booth, called Photo Booth. It provides a platform for users to create AI art models without the need for coding. The video discusses Open Art's Photo Booth as a user-friendly tool for beginners in the AI Art space to generate unique images based on their own models.

💡Text-to-Image Generation

Text-to-image generation is a process where AI algorithms create images based on textual descriptions. It's a core technology used in Dream Booth and Photo Booth, allowing users to generate images of people, pets, or objects by describing their desired outcome or providing example images.

💡AI Art Model

An AI Art Model refers to a specific instance of an AI model that has been trained to generate images of a particular subject, such as a person, pet, or object. In the context of the video, viewers are shown how to create their own AI Art Models using Open Art's Photo Booth, which can then be used to generate a variety of images.

💡Photo Booth

Photo Booth, as developed by Open Art, is a tool that simplifies the process of creating AI art models. It allows users to upload a series of photos and train an AI model to generate new images based on those photos. The video demonstrates how Photo Booth can be used to create personalized AI-generated images.

💡Pre-set Package

A pre-set package in the context of Photo Booth refers to a pre-defined set of images or styles that can be applied to an AI art model to generate a specific type of image. These packages can include themes like holidays, characters from movies, or professional scenarios, and they are used to enhance the variety and creativity of the generated images.

💡Model Training

Model training is the process of teaching an AI system to recognize and replicate certain features or styles based on a set of input data. In the video, the host trains an AI model using a collection of images to generate new images that resemble the subject of those images. This process is a crucial part of creating an AI Art Model in Photo Booth.

💡Upscaling

Upscaling in the context of image generation refers to the process of increasing the resolution of an image while maintaining or improving its quality. The video mentions upscaling options available in Photo Booth, such as 2x resolution, 4x resolution, and face restoration, which are used to enhance the clarity and detail of the AI-generated images.

💡Art Style

Art style refers to a particular technique, approach, or visual characteristic that defines the work of an artist or a group of artists. In the video, the host discusses how Photo Booth can be trained on a specific art style, allowing the AI to generate images in that style, which has implications for creating consistent visuals for projects like video games or fan art.

💡Consent

Consent in the context of the video pertains to the permission granted by an individual to use their likeness in the creation of AI art models. It is emphasized that users should obtain consent from friends and family members before including their images in the model training process to respect privacy and legal considerations.

💡Pixel Art

Pixel art is a form of digital art where images are created on the pixel level, resulting in a blocky, low-resolution style that is often associated with early video games. The video highlights pixel art as an example of a specific art style that can be taught to the AI through Photo Booth, allowing for the generation of images in a consistent pixel art style.

Highlights

Open Art has released a new version of Google's Dream Booth called Photo Booth, which allows users to create their own AI art models.

Photo Booth uses text-to-image generator AI technology to generate new images based on a series of input photos.

The technology can be used to create images of people, pets, objects, or even replicate a specific style.

The video demonstrates an AI-generated image of the presenter, showing a high level of resemblance.

Examples include the presenter as Napoleon Bonaparte and an action movie hero, showcasing the versatility of the technology.

The Open Art website offers a simple interface for users to start creating their AI models with Photo Booth.

Users can select different categories such as person, pet, character, art style, or object to train the AI model.

Open Art provides preset packages for users to enhance their AI models, with the first package being free.

The process includes uploading 20-30 images and filling out fields for identifier, class, and prompt.

Training a model on the platform is straightforward, with a one-month privacy period for the model.

The presenter demonstrates how to upscale and enhance the generated images with various options.

Different styles and scenarios, such as anime and cherry blossoms, can be applied to the generated images.

The presenter shares examples of generated images of his dog as various characters, like Indiana Jones and Captain Jack Sparrow.

The lemon character model generates coherent images of the lemon in different scenarios, like surfing or as a cyberpunk mascot.

The upscaler tool works effectively on the generated images, enhancing their resolution and details.

The technology has practical applications for creating fan art, video game assets, and personalized AI models.

The video concludes with a call to action for viewers to check out Open Art's Photo Booth and join the community on Discord.