The 9 Biggest Problems with DALL-E
While DALL-E has made significant strides since its initial release, it is far from perfect. The art creation tool has a number of issues that need to be addressed, many of which become more apparent with regular use. Inconsistencies and incorrect sizing are just a few examples.
1. Still can't write the text correctly
While AI isn't great at writing text in images, after trying dozens of AI art generators, DALL-E is one of the worst options in this regard. It'll generally be successful with simple requests, but as you can see below, the software still struggles with spelling out the accent marks for the word "Café."
The 9 Biggest Problems with DALL-E Picture 1
You'll also notice that DALL-E doesn't produce legible text for street signs and similar objects.
2. Do not resize images when requested
DALL-E understands the need to create images quite well, but fails to resize them when requested. For example, the author of this article asked the software multiple times to resize images for different blogs; but each time, DALL-E just recreated the images.
Luckily, cropping and resizing images is pretty straightforward. There are plenty of free tools, like Canva, that let you do it. However, it would be nice if you could do it without relying on third-party software.
3. Cannot create realistic images
DALL-E doesn't have too many problems with depth of field, but it's pretty bad at generating realistic images. For example, the author first asked the AI to create an image of a golden retriever in the mountains below (without specifying what kind of image it was).
The 9 Biggest Problems with DALL-E Picture 2
While beautiful, it was clear that the photo was created using AI. So the author then asked DALL-E to make it more photorealistic. However, the result looked even more fake (even a little creepy).
The 9 Biggest Problems with DALL-E Picture 3
Using a photorealistic custom GPT is useful, but you need a premium subscription to access it. Otherwise, you can look to many AI art creation tools that produce photorealistic results, such as Adobe Firefly.
4. Software doesn't listen when you tell it not to do something
One way to write better prompts in Midjourney, ChatGPT, and other AI tools is to say what you don't want the software to do. In many cases, doing so will yield better results. DALL-E is an exception, however.
In many cases, the author asked DALL-E to not include certain elements in his images. However, the tool added them anyway. Sometimes recreating the image will work, but it is better not to do this.
On the contrary, you will rarely encounter this problem when using Adobe Firefly.
5. Inconsistency in some areas
Many AI art creation tools have weaknesses; for example, when testing Photo AI, it was particularly bad at generating hands. DALL-E also had its flaws, with inconsistencies in many areas.
While DALL-E is great at generating images in general, it isn't always good at generating images of people holding objects. It's also bad at generating computer screens. It often gives you a bunch of random shapes. Asking the software to turn off the computer screen can sometimes help.
6. Inconsistent image style
DALL-E can create a number of different types of images; you can create AI art that looks like paintings, and you can also create images that look more 3D. However, this variety in image creation can sometimes lead to inconsistent styles.
When you ask DALL-E to generate an image, you have to be specific about what you want. Otherwise, you might get something random. This isn't a problem if you're just testing the app, but it is if you want a consistent style.
7. Size of the artifact
Making objects in your photos look proportional to their real-life counterparts is important if you care about the accuracy of your photos. Unfortunately, DALL-E sometimes doesn't make things look as expected. For example, if you ask the software to create an image of a person holding a phone in their hand, the phone will sometimes be too big.
Trying to ask the software to make the image wider can help, but this actually makes the problem worse, making the final image look fake. Trying different DALL-E correction requests can help, but overall there is no solution to this problem.
The 9 Biggest Problems with DALL-E Picture 4
8. DALL-E has difficulty creating external materials
At first glance, DALL-E would seem like a great way to create personal calendars, birthday cards, phone wallpapers, etc. However, you will quickly discover that the software does not perform well in this area.
For example, when trying to create a birthday card cover using DALL-E, the author wanted to create an image in the app and then upload it to a service like Moonpig. Unfortunately, the result was a design that included a birthday card in the image.
The 9 Biggest Problems with DALL-E Picture 5
If you really want to use DALL-E for these types of designs, don't say you're going to use it on a birthday card. Instead, specify what you want the program to do, then adjust the size later.
Note : It is best to just create the image in DALL-E and add the text in another application.
9. The image does not show all the optional requirements
Sometimes you don't know the specific AI design you want to use. Turning to the generator and asking them to generate multiple image variations might make sense in these cases. But in my experience, DALL-E tends to be quite "lazy" when the user asks for multiple options.
In many cases, the photos you receive will look very similar, so you have to be specific. It is more effective to create one image after another than to request multiple variations.
While many people still like using DALL-E in general, it is not perfect and you will eventually run into problems. For example, it is not good at creating photorealistic images without a custom GPT. Furthermore, it often fails to remove elements that you do not want in your images. However, you should still try DALL-E to see for yourself if you encounter these problems.
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