September 2023In September 2023, OpenAI introduced an updated version of their image generation neural network known as DALL-E 3. This update includes integration of DALL-E 3 with ChatGPT, allowing it to better handle complex queries than the previous version of Dali.
On this page you will find a detailed overview of the updated neural network, a comparison with the previous version, and instructions on how to get free access to DALL-E 3.Yes OpenAI have introduced an updated version of their image generation neural network, known as DALL-E 3. This update includes integration of DALL-E 3 with ChatGPT, allowing it to handle complex queries better than the previous version of Dali.
On this page you will find a detailed overview of the updated neural network, a comparison with the previous version and instructions on how to get free access to DALL-E 3.
DALL-E 3 is the latest neural network model from OpenAI for image generation. It is a continuation of the DALL-E AI line, and it offers even better image generation from textual descriptions. Users can now generate images with even more detail and realism. DALL-E 3 opens up new possibilities for creativity and visual exploration by allowing users to create unique and fantastic images based on textual description alone. This is an important step in the development of generative models and their application in various fields such as design, art and entertainment.
The new version of DALL-E indeed has an impressive number of parameters - 12 billion. These parameters represent the cognitive blocks of the model, which allow artificial intelligence to more deeply understand the nuances and details of a textual description. Thanks to this level of detail, DALL-E can create images with a high degree of attention to the smallest details, bringing users' most complex ideas to life. This opens up new possibilities for creative processes and allows images to be produced with the highest possible accuracy and quality.
For example, when the user requested "Tiny potato kings wearing majestic crowns, sitting on thrones, overseeing their vast potato kingdom filled with potato subjects and potato castles", the neural network was able to create the following image:
This example shows that the neural network carefully processes all the instructions in the query without missing any details, such as the crown on the head or the lock. This is one of the key improvements over the previous version, as now Artificial Intelligence takes into account all parameters in more detail when creating an image.
DALL-E 3, unlike its competitors such as MidJourney, has the advantage that it more often than not provides a result that fully matches the original query. Unlike other models, DALL-E 3 does not miss any of the specified parameters in the query and always considers all details. Thus, users can be confident that they will get the exact result that matches their query when working with DALL-E 3.
DALL-E 3 is capable of handling different themes in different styles. For example, it can handle any theme and create images in the appropriate style. "A paper craft art depicting a girl giving her cat a gentle hug. Both sit amidst potted plants, with the cat purring contentedly while the girl smiles. The scene is adorned with handcrafted paper flowers and leaves." you can get a similar image:
Unlike the previous example, where the DALL-E 3 neural network was used to create images based on text descriptions, it also takes into account additional details and requirements specified in the prompt. For example, if the textual description specifies that the image should contain a smiling girl, DALL-E 3 will certainly take this information into account and add the appropriate detail to the image being created. This demonstrates the high degree of attention to detail and granularity that DALL-E 3 possesses when creating images.
DALL-E 3, in addition to its attention to detail, has an improved ability to handle requests for human images. Unlike previous versions, the new DALL-E 3 has corrected a bug related to the incorrect representation of limbs. Now, no extra legs or fingers appear in the created images, and the proportions of people's bodies have become anatomically correct in various graphic styles. This improvement allows you to create more realistic images of people with a high degree of accuracy and conformity to anatomy.
For example, DALL-E 3 for the query "School girl in the USA, playing with a puppy next to the yellow school bus at the fall" generated the following image:
In the new version of DALL-E 3 the anatomical accuracy of the created images has been improved. Now we see correct proportions of the body, face and shoulders in the frame, as well as correctly drawn hands. The model also successfully creates images of dogs, eliminating possible anomalies that may have appeared in previous versions. This improvement guarantees more realistic and accurate images that meet anatomical standards.
One of the key new features in DALL-E is its integration with ChatGPT, allowing you to get the benefits of both neural networks. OpenAI have combined two of their products into one, which simplifies the imaging process.
You can now use ChatGPT to interact with DALL-E 3. For example, you can generate a full description for DALL-E 3 by querying ChatGPT, or use ChatGPT to refine a description or have collaborative ideation discussions.
The official video from OpenAI shows an example of using DALL-E with ChatGPT, where the neural network responds to a request by creating an image.
Ailib neural network catalog. All information is taken from public sources.
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