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Dalle 3 ChatGPT Plus - Full Tutorial and Review

Education


Introduction

DALL-E 3 has recently been released to the public, generating significant excitement among users. However, this article aims to provide an objective review of DALL-E 3, highlighting both its strengths and shortcomings. Below, I will guide you on how to access DALL-E 3, share my experience with various prompts, and discuss the quality of the generated outputs.

How to Access DALL-E 3

There are several ways to access DALL-E 3. One straightforward method is to navigate to bing.com/slre, which offers a free version. Alternatively, if you subscribe to ChatGPT Plus (GPT-4), you can select DALL-E 3 after signing in to chat.openai.com. As this version is currently in beta, it shows promise in understanding and executing prompts thanks to the strong language model behind ChatGPT.

My Experience with DALL-E 3

To test DALL-E 3’s capabilities, I experimented with various prompts. My first request was for a county map of New Jersey. Although I was initially excited, I soon discovered that the model incorrectly spelled "New Jersey" and failed to depict the actual counties. This exemplifies the generative nature of DALL-E 3, which appears to prioritize quantity over accuracy.

Next, I tested the model by asking for a futuristic logo design for a company named "Promo Ambitions AI." While the model failed to correctly interpret the company name, I found one of the generated logos appealing. If you have experience in graphic design software like Photoshop or Illustrator, you can easily refine the creations from DALL-E 3.

Continuing my experiments, I requested a photorealistic image of Elon Musk riding a horse. However, the model's response was underwhelming, as it would not generate images of specific public figures, which felt limiting compared to other platforms like Midjourney.

I then prompted DALL-E 3 with various requests for images of female boxers. Unfortunately, the results were far from satisfying, as many images displayed incorrect representations, further emphasizing the limitations faced when attempting specific subjects.

Another attempt involved asking for a businessman shaking hands with a schoolboy. While the generated image contained a businessman, the proportions between their hands were unrealistic.

Finally, I sought a beneficial diagram to illustrate how machine learning works. The output was unintelligible and unhelpful, showcasing the extent of DALL-E 3's generative limitations.

In contrast, I also wanted to create a street sign in Russian that translates to "good night." Despite my guidance and asking the model to provide the correct translation, the generated outputs were still inaccurate and failed to represent basic language principles.

Overall, while there is much excitement surrounding DALL-E 3, I found its performance underwhelming compared to Midjourney and Adobe’s offerings in photorealism. I would rank DALL-E 3 as a third option at this time.

Conclusion

While there’s a lot of buzz surrounding DALL-E 3, it's essential for users to manage their expectations. By experimenting and providing feedback on its limitations, I hope to contribute to the improvement of this technology. As I continue to explore AI platforms and share my findings through tutorials, I remain eager to stay informed and become an expert in this rapidly evolving field.


Keywords

  • DALL-E 3
  • ChatGPT Plus
  • Tutorial
  • Review
  • Access
  • Prompt
  • Image Generation
  • Photorealism
  • Midjourney
  • Adobe
  • Machine Learning

FAQ

Q: How can I access DALL-E 3?
A: You can access DALL-E 3 by visiting bing.com/slre for a free version or signing in to chat.openai.com if you have a ChatGPT Plus subscription.

Q: What types of images did DALL-E 3 generate?
A: DALL-E 3 generated various images based on prompts, but many lacked accuracy or proper representation, especially with specific subjects like public figures.

Q: How does DALL-E 3 compare to other AI platforms?
A: In my experience, DALL-E 3 falls short compared to Midjourney and Adobe in terms of image quality and accuracy.

Q: Can DALL-E 3 understand prompts well?
A: While DALL-E 3 excels in understanding language prompts, the generated content often lacked detail or accuracy, especially for specific requests.

Q: What are some common issues with DALL-E 3's outputs?
A: Common issues include incorrect spelling, unrealistic proportions, and poor representation of requested subjects or themes.

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