Revolutionary AI model DALL·E 2 Promises to Wow Customers with Images
And you don't even have to go to art school!
Created with DALL-E 2 AI Art Generator using the description below
Show me a photo-realistic image of a cowboy wearing a cowboy hat using AI to paint a beautiful western painting with a paintbrush in his right hand and looking like he's painting. (1st attempt ever)
And you thought what you were reading about ChatGPT was great. Just wait until you see what OpenAI promises to give you with their DALL·E 2 creation. In this article, we'll talk about what DALL-E- is.
Then we'll walk further into the AI world of OpenAI's DALL·E 2. But that's not all. We'll include specifics on both DALL-Es.
Before we can do that, we need to outline the questions we will answer.
What is an AI art generator?
What Is DALL-E, and what is a brief history?
What Is DALL·E 2?
Is DALL·E 2 cost-effective?
Are there AI art generator alternatives to DALL·E 2?
Are there copyright concerns?
What is an AI art generator?
To begin with, an AI art generator is a type of software or tool that uses artificial intelligence (AI) and machine learning algorithms to create art. That sounds reasonable, right? The generator can create images, videos, or music.
Generators use techniques like deep learning, neural networks, and computer vision to analyze and create art that wow people like you.
Some art generators can be trained on a dataset of images or videos. They then take those datasets and generate similar new images or videos.
The capabilities of these AI art generators are amazing. Some of them can be used to apply different styles or filters to an existing image or video. Others can generate new images from natural language descriptions or create abstract or surreal art based on an image.
AI art generators can be used for various purposes, such as creating unique and highly stylized images, generating images for product design, movie special effects, and more. They are considered a powerful tool for art creation and can be used by artists, designers, researchers, and hobbyists. They are widely used in creative industries but also research, education, and personal projects.
By now, you may have surmised that both DALL-E and DALL·E 2 are AI art generators. So which came first, the chicken or the egg? What! Oh, sorry. Which came first, DALL-E or DALL·E 2.
First up is DALL-E.
DALL-E is a large-scale language model developed by OpenAI in December 2020. It is a variant of GPT-3. You can generate images from text prompts, such as "a two-story pink house with a white fence and a red door." It uses a transformer architecture and is trained on a dataset of text and images. The model's name plays on the Pixar character WALL-E's name. It was released with a demo website where users can generate images from text prompts.
What Is DALL·E 2
Next, DALL-E 2 is a follow-up version of the DALL-E model that OpenAI also develops. Like its predecessor, DALL-E 2 is also a large-scale language model. It generates images from text prompts.
However, DALL-E 2 is designed to have improved image generation capabilities. It has a greater focus on image realism and diversity. Additionally, DALL-E 2 is also capable of generating video and audio from text prompts. It was released in June 2021 and was trained on a much larger dataset than DALL-E.
Pricing
Dataconomy Media, The wait is over: DALL-E 2 access is now open to everyone; September 29, 2022.
The chart above has not been verified with OpenAI. ChatGPT recommends you contact them directly to confirm what their pricing schedule is.
To continue, Chat-GPT relayed this information: The cost to use DALL-E 2 would depend on how and where the model is used. OpenAI does not publicize the specific fees for using DALL-E 2, but large language models like DALL-E 2 through the OpenAI API can be expensive, especially for high-volume usage.
Are there alternative AI generators to DALL·E 2?
Do you mean you want me to list ALL the alternatives? There are too many for me to list them. I'll do one better for you. Check out Eric Darnell's article on LinkedIn, 17+ Best AI Art Generators [Free and Paid]. He did an excellent job of listing out those that he researched.
What are the copyright concerns and restrictions for AI art generators?
AI art generators raise many legal and ethical concerns regarding copyright. This is true, particularly regarding using and distributing the images, videos, and other content they generate.
1. One of the main concerns is determining who owns the copyright for the art generated by an AI art generator. In most cases, you would assume that you would be the owner if you created it using AI. Not so fast. Don't be hasty here. This may only be clear if the generator uses pre-existing images or other content as a starting point.
2. Another concern is using copyrighted images or other content as a dataset to train the AI art generator. This could lead to copyright infringement if the images or content are used without the copyright holder's permission.
3. Additionally, AI-generated art may also raise questions about originality and authorship, as it's not always clear if the art is indeed "created" by AI. For example, the question is whether it's possible to be original when the inputs are pre-existing images. It could be a variation of pre-existing images.
Some companies and organizations are developing guidelines and best practices for using AI art generators to address these concerns. Always do your own research on copyright laws. If you need a license or permission, take this step. That research should include your state or location. If in doubt, get legal assistance.
I could write about artificial intelligence and tools you can use when writing forever. But for now, let's recap what we've looked at so far. We followed a simple outline of the questions we were going to answer in the below order.
What is an AI art generator?
What Is DALL-E, and what is a brief history?
What Is DALL·E 2?
Is DALL·E 2 cost-effective?
Are there AI art generator alternatives to DALL·E 2?
Are there copyright concerns?
Let's see, did I miss anything? Nope, that does it for this article, at least. What's next? Go now and subscribe to my Substack news blog. You might find other treasures that you want to read.