Create Your Own AI Art Model with Open Art's Photobooth! (NO CODE BEST DREAMBOOTH)
TLDRIn this video, the host introduces Open Art's Photobooth, a user-friendly AI technology that allows individuals to create their own AI art models. The technology is based on Google's Dream Booth and is particularly adept at generating images from text prompts. The host demonstrates the process by training the AI on various subjects, including themselves, pets, and objects, to produce unique and personalized images. Open Art's platform simplifies the process with a range of preset packages and the ability to train models with as few as 20 to 30 images. The resulting AI-generated images are highly customizable and can be upscaled for better resolution. The video showcases the potential of this technology for creating personalized art, fan art, and even product representations in a desired art style.
Takeaways
- 🎨 The video introduces OpenArt's Photobooth, an AI technology for creating personalized text-to-image generators based on a series of photos.
- 📷 Users can train the AI on various subjects like people, pets, objects, or styles to generate new images, offering a complex image-to-image experience.
- 🌟 The first preset package for creating an AI model with Photobooth is offered free of charge.
- 🚀 OpenArt streamlines the process of using Dreambooth technology, making it accessible for beginners in the AI art space.
- 🤖 The AI can generate images that closely resemble the input photos, as demonstrated by examples of the speaker transformed into different personas.
- 📚 OpenArt provides guidelines for the type and number of images needed for different categories, emphasizing diversity and consent.
- 🛍️ Users have the option to purchase additional preset packages for $5 each, which can enhance the AI model.
- 📱 Uploading images for model training is straightforward and can be done through a computer or phone.
- ⏱️ Training an AI model takes between 30 to 90 minutes, after which users receive an email notification.
- 🔍 The video showcases the ability to upscale and enhance the generated images with various options to improve resolution and facial features.
- 🧪 The technology allows for a wide range of creative possibilities, from transforming pets into different characters to generating art styles and abstract images.
- 🌐 The speaker encourages viewers to explore OpenArt's Photobooth, join the community on Discord, and subscribe to the channel for more content.
Q & A
What is the main feature of Open Art's Photobooth?
-Open Art's Photobooth is a text-to-image generator AI that allows users to take a series of photos of a person, pet, object, or even a style and generate new images based on those.
How does the AI technology in Open Art's Photobooth work?
-The AI technology works by training a model based on the provided photos, which can then generate new images that resemble the subjects or styles of the original images.
What are the different categories available for creating models in Open Art's Photobooth?
-The different categories include person, pet, character, art style, object, and others.
What is a preset package in the context of Open Art's Photobooth?
-A preset package is a pre-defined set of images or styles that can be applied to a model to enhance it or generate a specific type of image.
How many images are required to train a model in Open Art's Photobooth?
-It is recommended to have around 20 to 30 images to train a model effectively.
What are the guidelines for uploading images for a person model in Open Art's Photobooth?
-For a person model, you need 15 close-up portrait photos of the face, three photos of half the body (from chest up), and two photos of the full body. The person should be centered in each photo, and diversity in clothing and background is encouraged.
What is the cost associated with creating a model in Open Art's Photobooth?
-The first preset package is free, and if you choose to train a model without a preset package, you get 400 images free with the model. The cost for model training in beta is $10.
How long does it take to train a model in Open Art's Photobooth?
-The training process takes anywhere from 30 minutes to 90 minutes.
What are the privacy considerations when using Open Art's Photobooth?
-Users must ensure they have consent to use photos of friends and family. Additionally, models are deleted after one month for privacy reasons.
What are the upscaling options available for generated images in Open Art's Photobooth?
-There are several upscaling options available, including 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 created models in Open Art's Photobooth?
-Users can access their previously created models by clicking on 'My AI Models' on the main page of the Open Art website.
What kind of community support does the creator of the video offer for those interested in AI art?
-The creator offers a Discord community where people can access a ton of great resources, including free AI tools, and engage with others interested in AI art.
Outlines
🎥 Introduction to Google's Dream Booth and OpenArt's Photo Booth
The video begins with a greeting to the viewers and an introduction to Google's Dream Booth, an open-source AI research project. Dream Booth 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 then mentions collaborating with OpenArt, a company that has released its own version called Photo Booth, which offers distinct capabilities. The host shares examples of AI-generated images, including one of himself and variations like Napoleon Bonaparte and an action movie hero. The capabilities of Photo Booth are discussed, emphasizing its user-friendly interface and the ability to generate images for various categories such as people, pets, characters, art styles, and objects.
🖼️ Exploring OpenArt's Photo Booth and Its Features
The host takes viewers through the process of using OpenArt's Photo Booth, starting with accessing the main page and clicking on the Photo Booth button. Differentiating features of OpenArt's implementation are highlighted, including the streamlined process for creating AI models. The host discusses the various categories available for image generation and the importance of consent when using photos of people or pets. The video also covers the preset packages available in the store, which can be applied to enhance the AI model, and the option to train a model with custom images. The host explains the process of uploading images, naming the model, and the guidelines for each category, emphasizing the importance of diversity in the images used for training.
🍋 Training an AI Model with OpenArt's Photo Booth
The host demonstrates how to train an AI model using OpenArt's Photo Booth by selecting the 'person' category and uploading a series of images. He discusses the need for an identifier and class for the training object, using 'Lem' and 'lemon character' as examples. The process includes filling out necessary fields, submitting the training request, and waiting for the model to be trained, which takes between 30 minutes to 90 minutes. While waiting, the host explores other models he created, such as an anime-style self-portrait and a model of his dog, showcasing the versatility of the platform. He also discusses the upscaling and enhancement options available for improving the resolution and detail of the generated images.
🚀 Conclusion and Final Thoughts on OpenArt's Photo Booth
The host concludes the video by reflecting on the capabilities of OpenArt's Photo Booth and its potential for generating custom AI models. He emphasizes the high quality of the generated lemon character images and the platform's ability to capture various aspects of the character in different scenarios. The host encourages viewers to check out OpenArt's Photo Booth, join the community on Discord, and subscribe to the channel for more content. He thanks the viewers for watching and looks forward to seeing them in the next video.
Mindmap
Keywords
💡Dream Booth
💡Open Art's Photo Booth
💡Text-to-Image Generation
💡AI Model
💡Predefined Packages
💡Upscaling
💡Art Style
💡Consent
💡Custom AI Model
💡Lemon Character
💡Privacy Guidelines
Highlights
The video introduces Open Art's Photobooth, an AI technology for text-to-image generation similar to Google's Dream Booth.
Photobooth allows users to create AI models based on photos of people, pets, objects, or styles to generate new images.
The presenter partnered with Open Art to showcase their version of Dream Booth, called Photo Booth, with unique capabilities.
Examples of AI-generated images include a model trained on the presenter, resembling him closely in various scenarios.
The process is beginner-friendly, with no coding required, making it accessible for those new to AI Art.
Open Art's website simplifies the process with a straightforward interface and a variety of example images.
Users can select different categories such as person, pet, character, art style, object, or others for custom AI model creation.
Photo Booth offers preset packages for different themes, which can enhance the AI model generation process.
The first preset package is free, and additional packages can be purchased from the store for further customization.
The presenter demonstrates how to train a model with a series of images, emphasizing the importance of consent when using others' images.
Different guidelines are provided for training models on different categories, such as people, pets, or specific objects.
The training process is simple, requiring users to upload images and fill out fields for model identification and class.
Once the model is trained, users can generate a set number of images based on the model, with the first 400 generations included for free.
Open Art provides upscaling and face enhancement options for generated images to improve resolution and detail.
The presenter shares examples of generated images, including realistic and artistic styles, showcasing the versatility of Photo Booth.
The video concludes with a call to action for viewers to try Open Art's Photo Booth and join the community for more AI resources.
The presenter emphasizes the endless possibilities of AI-generated images with Photo Booth, inviting viewers to explore their creativity.