Create Your Own AI Art Model with Open Art's Photobooth! (NO CODE BEST DREAMBOOTH)
TLDRThis video introduces Open Art's Photobooth, a user-friendly tool that allows individuals to create their own AI art models without any coding knowledge. The host demonstrates the process of training the AI on various subjects, such as a person, pet, or specific character, to generate new images. The platform offers preset packages for different themes and the ability to upscale and enhance the generated images. With a simple interface and a variety of customization options, Photobooth makes AI art generation accessible to beginners and offers advanced users a streamlined process for creating unique AI models.
Takeaways
- 🎨 Open Art has released a new tool called Photo Booth, which is an open-source AI technology similar to Google's Dream Booth, allowing users to create AI art models from a series of photos.
- 📷 The technology can generate new images based on existing ones, making it a powerful tool for text-to-image generation, such as with stable diffusion models.
- 🤖 Users can train their own AI models with Photo Booth, using photos of a person, pet, object, or even a specific art style to generate new images.
- 🌟 The first preset package for creating a model in Photo Booth is free, and additional preset packages can be purchased from Open Art's store.
- 📚 Open Art provides guidelines for the types of photos needed for different categories, such as person, pet, character, art style, and object.
- 🚀 The process of training a model is straightforward: upload photos, fill out necessary fields (name, identifier, class), and submit a training request.
- ⏱️ Training a model takes between 30 minutes to 90 minutes, after which an email notification is sent to the user.
- 🔍 Once a model is trained, users can generate numerous images with different prompts and can upscale and enhance the generated images for better quality.
- 🧑🤝🧑 The technology has potential applications in various fields, including fan art creation, character visualization in gaming communities, and consistent art style generation.
- 📈 Open Art's Photo Booth offers a simple and seamless process for beginners in the AI Art Space, making it accessible for a wide range of users.
- 🌍 The script showcases various examples of AI-generated images, demonstrating the versatility and creativity enabled by Photo Booth, from realistic portraits to abstract art.
- 🔗 The video encourages viewers to check out Open Art's Photo Booth, join the community on Discord, and subscribe to the channel for more informative content.
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 a tool for generating new images based on a series of photos of a person, pet, object, or style.
What is the purpose of the 'Photo Booth' by Open Art?
-The 'Photo Booth' by Open Art allows users to train their own AI model based on their preferences, such as photos of a person, pet, character, art style, or specific object, and then generate new images that resemble the input.
How does the AI generate images that look like the input photos?
-The AI uses a text-to-image generator technology that learns from the input photos to create new images that share similar characteristics with the original ones.
What is a 'preset package' in the context of Open Art's Photo Booth?
-A 'preset package' in Open Art's Photo Booth is a pre-defined set of images or styles that can be applied to the AI model to generate a specific type of output, such as holiday vibes, characters from movies, or professional scenarios.
What are the guidelines for training a model on a person?
-For training a model on a person, the guidelines include providing 20 to 30 photos, which should include 15 close-up portrait photos of the face, three photos of half the body (from the chest up), and two photos of the full body, with the person centered in each photo.
How long does it take to train an AI model with Open Art's Photo Booth?
-The training process for an AI model with Open Art's Photo Booth takes anywhere from 30 minutes to 90 minutes.
What is the cost associated with using Open Art's Photo Booth?
-The first preset package is completely free. Additional preset packages are available for purchase at $5 each. The model training beta costs $10, which includes 400 images for generation.
What are some of the unique capabilities of Open Art's Photo Booth?
-Unique capabilities include the ability to train on various categories like people, pets, characters, art styles, and objects. It also offers upscaling options and face enhancement for generated images.
How does the privacy of the models created with Open Art's Photo Booth ensure?
-The privacy of the models is ensured by deleting the model after one month of being created. Additionally, users are reminded to get consent from friends and family before using their images.
What are some examples of generated images showcased in the video?
-Examples include an AI-generated image of the presenter as himself, as Napoleon Bonaparte, as an action movie hero, and as an evil demon clown. There are also examples of the presenter's dog as various characters like Indiana Jones and Captain Jack Sparrow.
What is the process for uploading images to train on with Open Art's Photo Booth?
-To upload images, users can select all the images they want to include in the model and drag them into the provided interface on the website. They can also delete any unwanted images from this interface before starting the training.
How can users regenerate more images with the same model?
-Users can regenerate more images by selecting the model they wish to use and clicking on the 'Generate Eight More' button, which will produce additional images based on the trained model.
Outlines
🎥 Introduction to Dream Booth and OpenArt Photo Booth
The video begins with a greeting to viewers and an introduction to a previous video about Google's Dream Booth, an open-source AI research project. Dream Booth enables the creation of new images based on a series of photos, whether of a person, pet, object, or style. The channel collaborates with OpenArt, which has released its own version called Photo Booth. This tool allows users to train their AI model on various subjects. The video showcases various AI-generated images, including ones of the host as different characters, to demonstrate the technology's capabilities.
🖼️ Exploring OpenArt's Photo Booth and Its Features
The host discusses OpenArt's Photo Booth, highlighting its user-friendly interface and the distinct capabilities that set it apart from other implementations of Dream Booth. The platform offers a wide range of example images and allows users to access their previously created AI models. It provides options to create photos for various categories like people, pets, characters, art styles, objects, and others. The host explains the process of using Photo Booth, including selecting categories, applying preset packages, and the importance of consent when using someone's likeness. The video also covers the purchasing process, the inclusion of free images with the model, and the customization options available.
📚 Training an AI Model with OpenArt's Photo Booth
The host guides viewers through the process of training an AI model using OpenArt's Photo Booth. After selecting the category, users can choose a preset package or create a custom model. The first preset package is free, and additional ones can be purchased. The host emphasizes the importance of providing diverse and varied photos for the best results. The video outlines the specific guidelines for different categories, such as the number and type of photos needed for a person or a pet. The host also demonstrates how to upload images and fill out the necessary fields, including naming the model and adding descriptive prompts.
🚀 Generating and Upscaling AI Images with Photo Booth
The host talks about the process of generating AI images once the model is trained, which can take between 30 minutes to 90 minutes. During this time, viewers are shown how to upscale and enhance the generated images using OpenArt's built-in options. The video presents various examples of upscaled images, including anime, art, and other styles. The host also discusses the ability to regenerate images using presets for consistent results. The video concludes with a call to action, encouraging viewers to check out OpenArt's Photo Booth, join the community on Discord, and subscribe to the channel for more content.
Mindmap
Keywords
💡Dream Booth
💡Open Art's Photo Booth
💡Text-to-Image Generator
💡AI Model
💡Stable Diffusion
💡Pixel Art
💡Presets
💡Model Training
💡Upscaler
💡Consent
💡Art Style
Highlights
Open Art has released their own version of Google's dream booth called Photo Booth, which is an AI technology for text-to-image generation.
Photo Booth allows users to take a series of photos and generate new images based on those, functioning as a complex image-to-image training model.
The technology can be used to create images of a person, pet, object, or even replicate a specific style.
An AI-generated image of the presenter looks remarkably similar to the real person, with accurate hair, eyes, and bone structure.
The presenter's image was also generated as Napoleon Bonaparte, demonstrating the technology's ability to mimic historical figures.
An action hero and evil demon clown are among the creative examples generated, showcasing the versatility of the AI model.
Open Art's website offers a simple interface to start with Photo Booth, with a variety of examples provided.
The platform has distinct capabilities and has streamlined the dream Booth process for ease of use.
Users can select categories such as person, pet, character, art style, object, or others to start generating images.
The first preset package for generating AI art images is offered free of charge.
Preset packages range from 80 to 112 photos and can be sorted by categories, enhancing the model's output.
The platform provides free 400 image generations with the purchase of a model during the model training beta phase.
Users can upscale and enhance the generated images with options like face restoration and anime style upscaling.
The presenter demonstrates how to train the AI with a folder of images, creating a 'lemon character' model.
Guidelines for uploading images vary depending on whether it's a person, pet, or character, emphasizing diversity and consent.
The training process takes between 30 to 90 minutes, after which users receive an email notification.
The presenter's dog was also used to create an AI model, generating a variety of unique and realistic images.
The lemon character model generated coherent images across different scenarios, showcasing the model's effectiveness.
The technology offers endless possibilities for generating personalized AI art, from realistic to abstract styles.
