DALL E – Without Registration | OpenAI

DALL E, a generative image AI model, was first released in January 2021. It arrived before other text-to-image generative AI art platforms from Midjourney and AI stability. The previous model, DALL E 2, was released in 2022 and faced huge backlash for generating explicit photorealistic images while showing bias. OpenAI decided to set up a waiting list to control who could use the platform. However, the waitlist was removed and DALL-E 2 was made public in September 2022.

The model generates from indications. A user can obtain accurate images after instructing DALL E in Spanish with short phrases. 


Fun Fact

The name "DALL E" arose from the mixture of Salvador Dalí (the famous Spanish artist) and the Pixar film, WALL E. Since the conception of this model, it has undergone several updates that we will discuss here.


We created these images with DALL E. Due to the content policy and copyright issue, he created similar and surreal images to represent both WALL-E from a futuristic world and the surrealist style of Salvador Dalí.

The evolution of OpenAI DALL E models

All DALL E AI series (DALL E, DALL E 2, and DALL E 3) are text-to-image models that use deep learning techniques to generate images from natural language. The first iteration of DALL-E generated images from text using GPT-3. This model used a discrete vibrational autoencoder (dVAE) that was based on research conducted by Alphabet's DeepMind division. 

In 2022, DALL E 2 was introduced, which generated more realistic images at high resolutions. The model used the Contrast Language-Image (CLIP) pre-training model that was trained on 400 million labeled images. It combines concepts, attributes and styles to generate images for the user. The Image API created images from scratch from text messages, edited pre-existing images from a new message, and created their variations as well. 

OpenAI announced the latest version of DALL-E 3 in September 2023, capable of understanding “many more nuances and details” than its predecessors. The model follows complex instructions more accurately and generates more coherent images. 

The evolution of DALL-E models

DALL E 3: Capabilities and features

DALL E 3 is the new evolutionary leap of 2023 that presents several improvements compared to previous versions. It is available to ChatGPT Plus users with a monthly subscription of $20. However, users can also access it for free through Bing Chat. 

Eliminate Engineering Prompt

DALL E 3 redefines the way images are generated using text prompts. Modern text-to-image conversion systems often fall short by ignoring words or descriptions. This requires users to master the art of prompt engineering. 

DALL E 3 is able to eliminate the complexities of indication engineering by sticking to the text provided. This model acts as a creative partner that allows users to bring their ideas to life. The user can generate visually stunning images from simple sentences or detailed paragraphs. 

Eliminate Engineering Prompt

improved accuracy

Previous DALL E models had problems interpreting complex text prompts and mixing concepts when generating images. The latest DALL E 3 is designed to understand text with accuracy and precision, capturing nuances and details.

improved accuracy

DALL-E 3 creates sharper, more precise images with realism, textures, lighting and a user-selectable background. Text generation and its integration into images has been improved. When using DALL E 3, “quality: HD” can be set to improve details. 

Ethical considerations

At address ethical consideration, OpenAI has made the DALL E 3 model adhering to security and refraining from any bias. This model incorporates measures that restrict the generation of violent, adult or hate-inciting content. The mitigations avoid generating images of public figures by name, thus reducing the risk of misinformation.

Ethical considerations

We asked DALL E to create an image of Salvador Dalí that emphasized his artistic styles rather than the artist's actual image.

OpenAI will also allow artists to exclude their works to avoid lawsuits in the future. Creators will be free to submit images under their rights and request their removal in a form on their website. The future version of DALL E is likely to lock in results similar to any artist's images. 


OpenAI continually researches ways to help users distinguish AI-generated images from human-created art. For the experiment, a tool called provenance classifier determines whether an image has been generated by DALL E 3. 

DALL E 3 Sizes and Styles

DALL-E 3 creates images of sizes 1024×1024, 1024×1792 and 1792×1024 pixels. These sizes can have significant effects on both the style and context of the generated image. For example, a user can generate vertical images for marketing or social content, while horizontal ones for landscapes or digital designs. 

This model was introduced with two new styles: natural and vivid. The natural style is similar to the DALL E 2 style in its "softer" realism. The vivid style generates hyper-realistic and cinematic images. All DALLE generations in ChatGPT are generated in vivid style.

DALL E-3 Sizes and Styles
DALL E-3 Sizes and Styles

The natural style is useful in cases where DALL E 3 exaggerates a subject that is supposed to be simple or realistic. Can be used to generate logos or stock photos.

What can you do with DALL-E 3?

The most important thing a user can do is create any type of image from scratch and the rest of the infinite possibilities. A user can create 3D works of art and sculptures and use the features of other famous painters. It can also be used for product design, interiors or even logos. The DALL-E 3 model offers a range of use cases to help a user or an organization. 

Logo design

Businesses of any scale can use DALL E 3 to create stunning and unique logos that represent their brand. DALL E 3 eliminates the need for a qualified designer by generating logos directly from textual descriptions. This is not a one-size-fits-all solution, but rather an effective and affordable alternative.  

Logo design

The user can enter the textual details of the desired logo and DALL E 3 will display various designs. Companies can quickly iterate between ideas that best fit their brand essence. 

In this way, companies save time and resources while having a wide variety of designs available. They can benefit from quick adjustments, such as seasonal variations of the logo based on events. 


Companies and individuals can use DALL E 3 to create attractive posters that showcase their products and services. The user can enter DALL E 3 different details (color palettes, fonts, motifs, slogans) to generate posters adapted to various advertising media. 

A company can have a unified brand representation across all platforms. DALL E 3 reduces the costs of the traditional design process, strengthening brand recognition and customer loyalty. 

Icon generation

DALLE 3 acts as a custom icon generator where users can choose the icon style, size, and theme for their website or app. You can then generate a custom SVG from the DALLE generator. Create a perfect icon today. 

Once created, the user can increase the brightness and contrast of the image before converting it to an SVG.

How to write an effective image for DALL E?

It is best to imagine the first-hand image that already exists in some kind of online gallery. The user can write short captions or a few words imagining what it would look like. 

  • Be specific with the details. Describe some details about the object or character you want to see in the image. Add information about the setting or background in the style of the medium (marble condition, paint, polaroid photo, etc.).

  • A user can add directive details, for example, "HD photography on a Sony camera, large format portrait on Sony D5200." The additional details help the AI ​​technology hone in on the type of image the user needs.

  • Keep experimenting. Learn the strengths and weaknesses of DALL E 3 by playing with the prompts.
  • Stay informed about the latest model improvements.

Limitations of DALL E

Despite being a powerful model, there are some limitations to the current capabilities of DALL E.

Difficulty generating detailed images

DALL E's performance tends to decline when faced with very specific or technical textual input. This limitation becomes evident when the system must produce images that require capturing intricate details or specific features described in the text. This problem is especially evident when the instructions refer to complex scientific concepts, technical designs, or nuanced artistic elements.

Inconsistent images due to slight changes to text instructions

Small alterations to the textual instructions provided to DALLE can cause considerable changes to the images it produces. Even a single word change or slight tweak to the description can produce very different visual results. This level of sensitivity to input variations presents a challenge for those who need more precise control of the imaging process. 


The integration of DALL E 3 with ChatGPT has revolutionized the way we approach image creation. It allows you to improve instructions and generate visual content in a more collaborative way. This synergy exemplifies the enormous capabilities of machine learning, which offers convenient and innovative solutions for visual content creation. DALL E 3 is a shining example of the endless possibilities that machine learning offers to transform the landscape of visual content generation.

Frequently Asked Questions (FAQs)

Can I access DALL E 3 without a ChatGPT Plus subscription?

DALL E 3 is not available on OpenAI for free users. However, the company claims that it will be added in the latest versions to Labs. A user can access DALL E 3 for free on Bing Image Builder.

Does DALL E 3 have a limit?

Like GPT-4, DALL E 3 has a limit of 40 messages/3 hours. 

I'm stuck in the ideation phase. Can ChatGPT help?

Of course. ChatGPT is great for generating creative ideas. Provide it with details about your brand and it will offer suggestions on themes, symbols, or even possible color combinations.