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

MattVidPro AI
4 Dec 202215:58

TLDRIn this video, the presenter introduces Open Art's Photobooth, a new tool for generating AI art models without the need for coding. The tool is based on Google's Dream Booth technology, which allows users to create a series of images based on photos of a person, pet, object, or even a specific art style. The video showcases various examples of AI-generated images, including the presenter as Napoleon Bonaparte and an action hero, as well as more humorous and horrifying variations. The process is straightforward, with the first preset package provided for free. Users can train their own AI models with 20-30 images and customize their prompts. The video also highlights the potential for creating fan art, consistent art styles, and product representations. The presenter emphasizes the endless possibilities and the fun aspect of using Photobooth to create unique and personalized AI art.

Takeaways

  • 🎨 OpenArt's Photobooth is a user-friendly tool for creating custom AI art models without coding.
  • 🤖 The technology is based on Google's Dream Booth, allowing users to generate new images from a series of photos.
  • 📷 Users can train AI models on personal photos, pets, objects, or styles to generate new images.
  • 🌟 The first preset package for creating a model in Photobooth is free, with additional packages available for purchase.
  • 🧑‍🤝‍🧑 It's important to get consent when using photos of friends or family to respect privacy.
  • 📚 OpenArt provides guidelines for the type and number of images needed for different categories, like people, pets, or characters.
  • OpenArt's interface offers various options for image generation, including art style and specific objects.
  • 🚀 The process is streamlined, making it accessible for beginners and advanced users alike.
  • ⏱️ Training a model takes between 30 minutes to 90 minutes, after which users receive an email notification.
  • 🔍 Upscaling options are available to enhance image resolution and facial features.
  • 💡 The technology has a wide range of applications, from personalizing AI art to creating fan art and professional scenarios.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about creating a personalized AI art model using Open Art's Photobooth, which is a version of Google's Dream Booth technology.

  • How does the AI technology mentioned in the video work?

    -The AI technology works by training on a series of photos of a person, pet, object, or style to generate new images based on those inputs. It's a text-to-image generator that allows users to create their own AI models.

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

    -Open Art's Photobooth has distinct capabilities such as training on different categories like people, pets, characters, art styles, specific objects, and others. It also offers preset packages for different themes and scenarios.

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

    -A preset package in Open Art's Photobooth is a collection of themes or scenarios that can be applied to the AI model to generate a series of images automatically. These packages range from holiday vibes to specific character themes.

  • How many images are included in the first preset package?

    -The first preset package is completely free and includes the generation of 400 images.

  • What are the guidelines for training a model on oneself?

    -The guidelines for training a model on oneself include providing 20 to 30 photos, with 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 are some of the 'obviously don'ts' mentioned for creating a model?

    -The 'obviously don'ts' include not including other people in the photos, avoiding nude photos, and understanding that the model will be deleted after one month for privacy reasons.

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

    -It takes anywhere from 30 minutes to 90 minutes to train an AI model with Open Art's Photobooth.

  • What are some of the upscaling and enhancement options available for the generated images?

    -Some of the upscaling and enhancement options include two times resolution, two times plus face restoration, four times resolution, four times plus face restoration, and four times plus anime.

  • How can users access their previously generated AI models?

    -Users can access their previously generated AI models on the main page of Open Art's Photobooth by clicking on 'My AI Models'.

  • What is the cost associated with training a new AI model on the Open Art platform?

    -The cost associated with training a new AI model on the Open Art platform is $10 during the model training beta phase.

  • What is the purpose of the identifier and class fields when creating a new AI model?

    -The identifier is a simple word or token that represents the training object, and the class is a more specific category such as 'man', 'woman', 'dog', or a specific breed or type of object being trained on.

Outlines

00:00

🎥 Introduction to DreamBooth and OpenArt's Photo Booth

The video begins with a greeting to the viewers and an introduction to a previous video on Google's DreamBooth, an open-source AI research project. DreamBooth is a technology that allows the creation of text-to-image generators, such as Stable Diffusion, which can generate 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 of DreamBooth called Photo Booth, which is highlighted for its distinct capabilities. The host mentions the need for a comprehensive video on DreamBooth and showcases AI-generated images of himself and others, like Napoleon Bonaparte and an action movie hero, demonstrating the technology's accuracy and potential for diverse applications.

05:02

🖼️ Exploring OpenArt's Photo Booth and Its Features

The host guides viewers through the OpenArt website and its Photo Booth feature. He explains the process of using Photo Booth, emphasizing its user-friendly interface and the variety of categories available for image generation, such as person, pet, character, art style, object, and others. The video discusses the concept of preset packages, which are pre-designed sets of images that can be applied to a user's model to enhance it. The host mentions that the first preset package is free and outlines the process of training a model with one's own images, highlighting the importance of consent when using images of others. The video also covers the guidelines for uploading images for different categories and the privacy considerations, such as the one-month deletion policy for models.

10:03

🍋 Training a Model with the Lemon Character and Upscaling Options

The host demonstrates how to train a model using a folder of lemon-themed images, intending to create a 'lemon character.' He explains the process of naming the model, choosing an identifier, and categorizing the training object. After uploading the images and filling out the necessary fields, the host submits the training request. While waiting for the training to complete, the video explores other models, such as an anime-style image of the host and a photo of the host as Superman. The host also discusses the upscaling options available for enhancing the resolution and details of the generated images. The results of the lemon character model are shown, including various scenarios and prompts, demonstrating the model's versatility and coherence.

15:04

🌟 Conclusion and Call to Action

The video concludes with a summary of the capabilities of the custom pre-trained lemon character model and a comparison to base stable diffusion models. The host expresses satisfaction with the results and encourages viewers to check out OpenArt's Photo Booth through a provided link. He also invites viewers to join the community on Discord for additional resources and to subscribe to the channel for more content. The host thanks the viewers for watching and signs off, promising to see them in the next video.

Mindmap

Keywords

💡AI Art Model

An AI Art Model refers to a machine learning model specifically trained to generate art or images. In the context of the video, the model is trained on a series of photos to create new images that resemble the original subjects. It's a core concept as the video is about creating custom AI models using Open Art's Photobooth.

💡Open Art's Photobooth

Open Art's Photobooth is a service that allows users to create their own AI models for generating images. It is a user-friendly platform that streamlines the process of training an AI on specific subjects or styles. It is central to the video as the presenter collaborates with Open Art to demonstrate how to use Photobooth.

💡Text-to-Image Generator

A text-to-image generator is an AI system that creates images based on textual descriptions. It is mentioned in the video as a type of AI technology that benefits from tools like Photobooth, which can train the AI on specific styles or subjects to enhance the generation process.

💡Dreambooth

Dreambooth is an open-source research project related to AI that enables the training of AI models on specific subjects to improve image generation. In the video, the presenter discusses how Open Art's Photobooth is their version of Dreambooth, offering distinct capabilities for custom AI art creation.

💡Pixel Art

Pixel art is a form of digital art where images are created on the pixel level, leading to a blocky, low-resolution style that is often associated with old video games. In the video, it is used as an example of an art style that can be taught to the AI model, allowing it to generate images in that specific style.

💡Predefined Packages

Predefined packages in the context of Photobooth are sets of image generation parameters that come pre-configured for specific themes or styles. They are mentioned as a feature that simplifies the image generation process for beginners, offering a wide range of options to choose from.

💡Model Training

Model training refers to the process of teaching an AI system to recognize and replicate specific features, styles, or subjects based on a dataset of images. In the video, the presenter trains models on himself, his dog, and a 'lemon character' to demonstrate the customization capabilities of Photobooth.

💡Upscaler

An upscaler is a tool or feature that increases the resolution of an image while attempting to maintain or enhance its quality. The video showcases the upscaler feature of Photobooth, which can improve the resolution and detail of the AI-generated images.

💡Art Style

Art style refers to the unique visual language or aesthetic that characterizes an artwork or a set of artworks. The video discusses how Photobooth can be trained on a specific art style, enabling the AI to generate images that match that style, which is significant for artists or designers looking for consistency in their work.

💡Consent

Consent in this context means permission from individuals to use their images for training AI models. The video emphasizes the importance of obtaining consent when using photos of people, which is crucial for ethical and legal reasons in AI image generation.

💡AI-generated Image

An AI-generated image is a visual output created by an AI system based on input data, such as a set of photos or a textual description. The video script provides numerous examples of AI-generated images, such as images of the presenter as various characters or in different styles, demonstrating the versatility of the AI model.

Highlights

AI technology allows for the creation of new images based on a series of photos of a person, pet, object, or style.

Open Art has released their own version of Google's Dream Booth called Photo Booth, offering distinct capabilities.

Photo Booth is beginner-friendly and provides a seamless process for creating AI art images.

The first preset package for creating a model in Photo Booth is free.

Preset packages in the store range from $5 to generate 80 photos, aiding in model enhancement.

Open Art provides guidelines for each category, such as person, pet, character, and art style, for optimal results.

The process includes selecting a category, uploading 20-30 images, and filling out fields for training the AI model.

After uploading images and applying presets, users can start training their AI model with a click of a button.

Training an AI model takes 30 minutes to 90 minutes, after which an email notification is sent.

Users can upscale and enhance the resolution of generated images with various options provided by Open Art.

Photo Booth can generate images consistently in a specific art style, such as pixel art, after being taught that style.

The technology has practical applications for creating fan art, video game assets, and professional scenarios.

Privacy is respected as models are deleted after one month of creation.

The video demonstrates the generation of various characters, including the user as Napoleon Bonaparte and an action hero.

Horrifying and abstract images can also be generated, showcasing the versatility of the AI model.

The AI can generate a wide range of images, from realistic to cartoonish, based on the input and selected style.

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

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