6 mins read

DALLE 3: Discover The (Currently) Most Powerful Text To Image Model

Introduction

OpenAI’s recent announcement of DALL·E 3, the latest iteration of their groundbreaking text-to-image generation model, has a lot to unpack. Let’s discover this release in details, considering its capabilities, safety measures, and its impact on Generative AI.

Directly from OpenAI website showcasing some prompts

About DALL·E 3

DALL·E 3 represents a significant milestone in text-to-image generation, especially when talking about prompt understanding. This innovative closed source model is the latest iteration of DALLE, and it is accessible directly from Bing Image Creator or ChatGPT Plus.

Compared to DALLE-2, the changes are definitely noteworthy: better image quality, better at following instructions and understanding compositions, especially when providing a description with a lot of elements. Moreover, it can also generate text!

One of the most remarkable aspects of DALL·E 3 is its ability to comprehend intricate nuances in your prompts. Unlike its earlier versions, DALL·E 3 can seamlessly translate abstract ideas into visually accurate images. This leap in capability means that users can expect a more refined and precise output from their prompts.

What sets DALL·E apart is its ability to synthesize images with a remarkable level of creativity and fidelity. It excels in combining unrelated concepts in plausible ways, a feat that highlights its advanced understanding of context and semantics. DALL·E is also good (but not perfect!) at rendering text, ensuring that textual inputs are visually represented cohesively and artistically. Moreover, it has the capacity to apply transformations to existing images, further demonstrating its versatility.

One of the key technical achievements of DALL·E 3 is its ability to address a common challenge in text-to-image systems — prompt engineering. Many such systems struggle to accurately translate complex textual descriptions into visual form, often requiring users to carefully construct prompts. DALL·E 3’s advancements in this area represent a significant step forward. It possesses the capacity to generate images that align precisely with the provided text, reducing the burden of prompt engineering and making the text-to-image generation process more intuitive and user-friendly. These technical refinements underscore DALL·E 3’s prowess in bridging the gap between language and visual artistry, marking a remarkable milestone in the field of generative AI.

A Creative Synergy — ChatGPT Integration

DALL·E 3 takes collaboration to a new level with its native integration with ChatGPT. You will need a ChatGPT Plus subscriptions to enjoy this service, and currently only one image at time can be generated (it was 4 during the initial release).

Integration with ChatGPT

Accessibility and Availability

DALL·E 3 is accessible to ChatGPT Plus, Enterprise and Teams customers. Importantly, users retain full ownership of the images generated by DALL·E 3, offering freedom in their use without the need for permissions or restrictions.

If you prefer to try DALLE without subscribing, you can try Bing Image Creator, which also uses DALLE to generate images, even if it might be slower depending on the current demand. However, to get familiar with the tool is definitely a good starting point.

Safety and Ethical Considerations

OpenAI’s unwavering commitment to safety is evident in DALL·E 3. The model has built-in safeguards to prevent the generation of violent, adult, or hateful content. Furthermore, DALL·E 3 is designed to decline requests for images resembling public figures, contributing to a safer online environment. OpenAI’s collaboration with domain experts in stress-testing the model underscores their commitment to mitigating biases and addressing potential misuse.

Opting Out and Creator Control

A notable feature is the ability for creators to opt their images out from the training of future image generation models (I am still not sure how it will be implemented). This empowers creators with more control over their content and its use. OpenAI’s proactive approach in this regard aligns with the growing need for responsible AI usage.

The Speed of AI Advancement

The release of DALL·E 3 serves as a testament to the rapid pace of advancement in the field of generative AI. While it’s not open source and not available for local use (look at Stable Diffusion for this), this innovation shows us that it is actually possible to generate images from complex instructions just using text.

DALL·E 3, however, it still operates within the limits set by OpenAI. In contrast, the free and open-source Stable Diffusion has provided users with a different avenue for text-driven image generation. While DALL·E 3 offers enhanced security measures and safety precautions, it is limited in terms of accessibility and customization. On the other hand, Stable Diffusion, with its open-source nature, grants users greater flexibility and control over the model, enabling them to run it locally and to generate many more concepts that are limited in ChatGPT. Moreover, the recent introduction of Stable Diffusion XL, a newer model based on diffusion techniques, expands the possibilities even further. Stable Diffusion is versatile, not only excelling in generating detailed images from text descriptions but also offering capabilities in inpainting, outpainting, and image-to-image translations guided by textual prompts.

Try for Free

Currently, DALL-E is a paid service offered through APIs or included in ChatGPT with a Plus subscription. However, you can try it for free using Bing Image Creator! It’s a simple interface where you can add prompts and get 2 to 4 images created by DALL-E. There is a sort of credit system; as long as you have credits, you can run it for free, and they renew periodically.

Some Conclusions

In conclusion, DALL·E 3 is definitely a big step in the evolution of text-to-image generation. It embodies the synergy between AI and human creativity, with a focus on both performance and safety. Maybe too much safety? What’s the line between safety and censorship? Anyway, I believe that AI-generated content holds endless possibilities, and it will only get better and accessible to everyone.

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