Tag: Benefits of DALL-E

  • Dall-E vs Midjourney – Comparing Two Revolutionary AI Tools

    AI is no longer a future concept, it is happening now. Technology has evolved a lot and is still growing rapidly. AI has fueled growth by making tasks easier and faster. Dall-E and MidJourney, both are AI-based text-to-image generators that hold the capability to generate mind-blowing digital images just by taking input from you.

    Isn’t it fascinating that you’re just typing something and AI is providing you with the desired images? Actually, it’s really cool stuff to explore and learn.

    Both Dall-E and MidJourney do the same thing which is to generate images from the user query, but certain factors differentiate these two. Here in this article, we will compare Dall-E and MidJourney, so read the whole article and update your knowledge with the latest technology.

    Comparison Between Dall-E and Midjourney

    Comparison Between Dall-E and MidJourney

    AI Image Generators have become the next big thing on the internet. As both are best-known and arguably the most advanced image generators, both of them have the potential to provide you with great results.

    Let us look into the different aspects such as their development, pricing, art quality and others. of  MidJourney and DALL-E to compare and decide which one is the best among these two.

    Development Journey

    Dall-E is an AI system developed by OpenAI, a research laboratory headquartered in san-Fransisco. OpenAI was started by Sam Altman and others in late 2015 to develop AI-based solutions that solve different tasks and make human life much easier. Dall-E is one of the AI solutions by OpenAI that renders services for image creation.

    It is a large language model that was trained on a dataset of text and images, which can generate images from text descriptions, a process known as image generation or image synthesis. It is a 12-billion-parameter version that uses text-image data sets to generate an image from text.

    On the other hand, MidJourney is also an AI-based solution developed by an independent research lab that renders the same services as Dall-E does. Since the intention behind the development of AI is the same, which is to train the AI and make them capable of solving complex real-life problems with ease.

    MidJourney has emerged as a solution that creates realistic images of any input you provide. It is in the beta phase and continuously learning and upgrading with new features and capabilities. To save the interest of Artists, MidJourney also included DMCA takedown policy in their terms of service. This will empower the artists to request the removal of any art piece if they feel it is violating copyright.

    Performance and Capabilities

    Dall-E

    A lot of training with datasets undergoes to train the system to consistently improve the performance and capabilities. Dall-E uses text descriptions in natural language to create high-resolution images and art pieces. Different attributes, concepts, and styles are mixed and matched to deliver the best results and performance.

    Dall-E edit

    On the 6th of April 2022, OpenAI launched the upgraded form of Dall-E with the name Dall-E 2. The concept of photorealism became more advanced and efficient with Dall-E 2 which can create realistic art using the data in the caption. The functionality of creating an image is general in Dall-E 2, but on top of that, it can also add some extra information on the existing image and also create different variations of the given images on the basis of the input you provide.

    Dall-E uses a technology called Clip (Contrastive language image pre-training)  for digital photosynthesis, which is developed by OpenAI. It helps to match the images with their corresponding caption in the best possible way, in simple words it works on text and image pairs. The process of text embedding and image embedding takes place to produce the best result from the given caption.

    MidJourney

    On the other hand, MidJourney also offers great performance and provides high-quality realistic art from natural language commands. By continuously upgrading the technology and removing the flaws in the system, MidJourney has evolved its capabilities a lot from Version 1 to Version 4.

    Every week and month, it releases some updates in the system that further improves the efficiency of the AI. If you compare the results produced by the previous version with the latest version, the image details in the latest version are top-notch with more clarity.

    In the previous version if you search “Alien spaceship over the futuristic city”, you’ll find the image with the spaceship but the placement of the spaceship was not well, even the futuristic city was also looking somehow messy. The latest version improved these flaws, now if you search for the same query, you’ll find a picture in which the spaceship is hovering over the city and even the city also looks much more realistic.

    Hence, the performance and capabilities of both AI-based systems are pretty much similar and deliver the best result in creating high-quality images.

    Quality of Art

    Creating an image undoubtedly becomes easy with Dall-E and MidJourney, both deliver exceptional quality and still improving with different updates. Here we have compared the quality of Art created by Dall-E and MidJourney. We have passed the same input which is ” ships sailing in a stormy sea” and get the below result.

    Comparison in Art Quality of Dall-E and MidJourney

    The left-hand image is created by MidJourney which looks clear and detailed, it recognizes the query very well and renders each keyword efficiently to provide the result. A stormy sea looks cool in the first image with every minute detail like the atmosphere is harmonized with the image providing a look of stormy weather.

    On the other hand, Dall-E has also generated the image of ships in stormy weather, but the image looks simple compared to the MidJourney image. The weather is normal and there is not much effect of the storm visible. It looks like ships in the sea and nothing more.

    Hence, we can say that MidJourney is more precise and accurate in creating images compared to Dall-E. But still, they are in the beta phase and continuously evolving, so it’s too early to judge the quality.

    User Interface and Accessibility

    Dall-E

    In order to use the Dall-E you need to create an account with OpenAI by visiting their official website and clicking on the signup button. You can choose your email address and password to create an account or simply use your existing Gmail account to create an account with OpenAI. After that, you also need to verify your mobile number to continue further.

    Once you complete your signup process, you will get 50 credits for free in your account in the first month and also get 15 credits every month, which you can use for creating an image in Dall-E. Now you’re ready to generate images from a description of natural language.

    In the search bar, you can input your imagination via query and the algorithm automatically generates the best outcome based on your search query. Mix and match the images and try different variations to get the best result from your search. You can also upload an image and suggest any changes to it through your command to create a unique piece of art.

    MidJourney

    MidJourney is currently operating on the discord server only, so to use MidJourney you need an account on the discord. First of all, you need to visit the website of MidJourney and click on the join beta program. After this, you need to accept an invite to the discord server from MidJourney. Now open your discord app and click on the boat shape icon of MidJourney, you can join any newcomer room with the name “newbie”.

    Use the prompt /imagine and start creating images from your imagination and get the result from MidJourney. The more precisely you give the input into the command the more accurate result you’ll get. You can also upload your image and apply different variations to it, this will change your existing image to a new modified image based on the changes you want.

    Price Comparison

    Dall-E

    When you just signup in OpenAI, you’ll get 50 credits for free to generate images in Dall-E and also get 15 credits every month. On top of that, you can purchase additional 115 credits for $15 if you are out of credit. This credit will get utilized every time you hit a search prompt and try different variations.

    Suppose you enter a search query “A girl looking at the moon at night” and hit the generate button. This will create some pictures for you, if you select any picture and try out different variations of the picture then also your credit will get utilized. In this example, one credit is used when you generated an image and one credit is used when you tried out a variation, hence you consumed two credits from your account.

    MidJourney

    The pricing plan for MidJourney is a little bit confusing for beginners as compared to Dall-E because it contains several plans and uses algorithms. Let’s compare each of them one by one, but before comparing the plan you need to be clear about certain terminologies like fast GPU time, relaxed GPU time, and private visibility.

    Fast GPU time: Whenever you enter any prompt for an image creation it will take GPU resources to render the image, the time taken by the GPU to render the image depends on the complexity, details, quality, and more. So fast GPU mode reduces the time to render the images and gives the output as fast as possible.

    Relaxed GPU time: In relaxed mode, GPU doesn’t take your work as a priority and takes its time to render the image.

    Private Visibility: your created images are visible to the public unless you put them into private. Your images will be on the server but visible only to you.

    • Free trial: when you sign up in MidJourney for the first time you will get 25 min/Lifetime fast GPU time. If one image generation takes around 1 minute of time then you can generate 25 images for free with this plan. Keep in mind that every time you generate an image or variation, it will take GPU, hence you’ll be charged minutes while generating a new image and also while creating a variation.

    Relaxed GPU time and private visibility are not provided in the free plan.

    • Basic: You’ll charge $10/month when you opt for this plan. In this plan, you will get 200 min per month of fast GPU time and a personal bot Chat. Relaxed GPU time is still not available in this plan but you can opt for a private visibility feature by paying $20/month additional.
    • Standard: In this plan, you’ll get 15 hrs/month at $30/month inclusive of relaxed GPU time. But in this plan also you need to purchase the private visibility for $20/month if you want.‌‌

    Also, for both the Basic and Standard plans you can purchase additional time if you are out for the given time in your plan. It will charge $4 for 60 minutes.

    • Corporate: This plan is best suited for big design companies that need to generate many art pieces and images. For $600/year, you’ll get 120 hrs/year of fast GPU time and unlimited relaxed GPU time, additionally you’ll get private visibility and a personal bot at no extra cost.

    Comparison of Features

    Features of Dall-E

    • Quick edit of the uploaded image based on the changes you want.
    • Different variations to explore and choose from.
    • Dedicated collection to store generated images in public or private folders.
    • Full usage right to commercialize the created image.
    • Already ensured safety before launching the beta version of Dall-E.

    Features of MidJourney

    • Anyone can join the beta program by using the discord link.
    • Different variations and high-quality images.
    • Diversified pricing plans.
    • Availability of Fast and relaxed mode.
    • Can upload an image and make changes.

    Conclusion

    AI has made work easier and effortless, but still, this technology is evolving and developing. Dall-E and MidJourney both of them are outstanding AI tools that help to generate realistic images through natural language. So, join their beta program and explore the new height of AI.

    FAQ

    Which is better DALL-E or MidJourney?

    DALL-E creates more real-looking images whereas MidJourney is more on different art styles.

    Can you use DALL-E images for free?

    DALL-E 2 is currently free to use, but there is a catch. For the first month, you are allotted 50 free credits to use and 15 free credits after that.

    What type of AI is MidJourney?

    MidJourney is an independent research lab that produces a proprietary artificial intelligence program under the same name that creates images from textual descriptions, similar to OpenAI’s DALL-E and Stable Diffusion.

    How does MidJourney actually work?

    MidJourney is currently only accessible through a Discord bot on their official Discord, by direct messaging the bot, or by inviting the bot to a third-party server.

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  • What Is Dall-E and How Does It Work?

    Have you ever thought that it would be possible when we decide to input any text and simultaneously it would convert or generate an image by deciphering or processing what we want to convey through the write-up? For example, you wrote about an armchair in the shape of an avocado. Then, the image you imagined while writing the above sentence would be generated in front of you after some time. Which seems pretty cool and exciting, right?

    Now, you would be thinking about what made it possible to carry out this work and its mechanism. That is why here in this article, we will talk about everything related to DALL-E, the image-generating software developed by OpenAI and the theory behind its functioning.

    What is DALL-E?
    How Does Dall-E, the Text-To-Image Generator, Work?
    Why Is Dall-E Considered a Breakthrough in Today’s World?
    Does Dall-E Matter to Us?
    Benefits of Using Dall-E in Commercial Sectors
    Other Features That Dall-E Users Can Enjoy

    10 Free Text to Image AI Generators

    What is DALL-E?

    A 12-billion parameter version of the GPT-3, Dall-E is an artificial intelligence model developed by OpenAI capable of generating images from texts. It is the first artificial model that can carry out this phenomenon.

    If you are now thinking about whether Dall-E can provide only simple input text illustrations, then you are pretty wrong. Dall-E can give rise to multiple illustrations with several alternatives on a single write-up. Interestingly, it could represent something more bizarre than what you imagined.

    How Does Dall-E, the Text-To-Image Generator, Work?

    Dall-E is not subjected to only the generation of unique plausible images from various sentences. It can also explore other sides of a complex language structure input in its platform. So, let us look at some of them and see how they work towards it:

    Controlling Multiple Objects

    AI-Generated Images by DALL-E
    AI-Generated Images by DALL-E

    For instance, if there is a phrase containing multiple objects and different relationships, like a baby penguin wearing a blue hat, red gloves, green shirt, and yellow pants.

    Dall-E does not confuse all the apparel with each other but rather combines each piece of information without mixing them up. However, it’s seen that the proper workability of Dall-E depends on how captions have been arranged and on avoiding misrepresentations.

    Conjuring up Both Internal and External Structure

    Dall-E is found to quickly draw both the internal and external structures of an object in an exemplary and exquisite manner like never before. But, the details that Dall-E shows can only be visible if referred to or viewed up close.

    Adding Contextual Details

    While describing a task of translating text to an image, there may be instances where a single caption could give rise to thousands of plausible images, and determining a single image would be hard. Moreover, there could be places where a particular addition of something could make the image more attractive and pleasant to see, but the user may not specify that detail in the caption.

    This is where Dall-E stands relatively superior to other 3-D rendering machines or platforms where you can mention every detail ambiguously. For instance, if your text indicates that an image must include a particular detail that is not clearly stated, then Dall-E fills that detail in that excluded space and renders your image picture-perfect.

    Workability in the World of Fashion

    Next, let us look at how Dall-E fairs in the world of fashion and how it fares in having an excellent fashion sense. Dall-E works efficiently in its capability to provide a range of possibilities whenever two different colour codes are input into text, for example, a yellow and black sweater. Here, it can generate many combinations for how those two colours can be used.

    But when it comes to different colours that are less common like olive or navy are conveyed in the text, Dall-E often gets confused regarding it. Sometimes, it recommends shades of light blue or different shades of blue and, likewise in the case of olive, it recommends different shades of brown or some brighter shades of green.

    Combining Different Concepts

    The creative nature of our language allows us to combine different concepts which are entirely unrelated, like real or imaginary, into one sentence. Along with this fact, Dall-E is also quite capable of combining two imaginary items and generating an image. Although, Dall-E may not always be successful in creating images having unrealistic details. For example, if we want to create a visualization of a snail made of a harp then Dall-E may get confused regarding the forms of the objects or the way it must combine both subjects.

    However, it was an animal which is real, so what about an armchair in the shape of an avocado? Dall-E, in this case, tries to devise a solution closely related to the design and practically functional. But there could be instances when the image would not be adequate to what you wanted.

    Why Is Dall-E Considered a Breakthrough in Today’s World?

    Dall-E is considered a game changer in today’s world because earlier artificial intelligence was able to generate images but needed to see them beforehand to give rise to them. The discovery of Dall-E by OpenAI is revolutionizing the way we use AI with images as a single input of text can now lead to an image being represented closely, resembling what we imagined of it seamlessly.

    Global AI Software Market Revenue from 2018 to 2025
    Global AI Software Market Revenue from 2018 to 2025

    Does Dall-E Matter to Us?

    After getting a brief understanding of the functioning of Dall-E, we may be faced with a common question: will this machine-learning technique be the end for the creative thinkers or designers in the field? If computers can now generate original images through text, what work is left for humans, albeit artists, graphic designers, or illustrators, doing the same work?

    One thing we need to clear out of our minds is that a discovery like Dall-E will not oversee an end to human capabilities or turn out to be a replacement for them but rather be an enhancement to our already evolving workforce.

    No technology, after its introduction into the mainstream world, would be able to take over the existing structure just like that. In addition, Dall-E needs a specific language input to render some complex images. Sometimes those images may not be enough for you or up to your standards, depending on their usability.


    Is AI Going to Take Over the Creative Jobs Too?
    Artificial intelligence is basically everywhere we see and has taken over most jobs. But will it be able to take over creative jobs too?


    Benefits of Using Dall-E in Commercial Sectors

    Even though Dall-E may not be suitable for some purposes, it most definitely is beneficial to sectors like:

    • Ecommerce sites: When generating impactful and customer-oriented product images through different eCommerce sites, Dall-E becomes quite influential. Dall-E is a cheaper and more affordable option where designers can include extended dynamic imagery and a somewhat simpler option before the usual technical design.
    • Real estate sites: Another sector where Dall-E is pretty useful is real estate sites. Here, customers or real estate developers could generate images of structures based on how they want to build the place or buyers looking for places depending upon their favourability and specifications.

    Other Features That Dall-E Users Can Enjoy

    Some other features that users who have chosen Dall-E can enjoy are:

    Editing

    There could be instances where the image generated by Dall-E is not meeting your requirements. Then, Dall-E offers some of the best editing access that allows you to edit and change the image as per your need.

    Variations

    Users can add different types of variations on the image which was generated by Dall-E or even uploaded by the user on its platform inspired by the original picture.

    Here are some security features that Dall-E is said to improve and offer to its users:

    Reducing Misuse

    Because of the unique abilities of Dall-E subjected to creating images from text, it is highly possible to be misused to some significant extent by different people. That is why Dall-E rejects users from uploading realistic images to its platform and also restricts users from creating images that depict the faces of celebrities or politicians to avoid any controversy.

    Eliminating Bias

    Dall-E has implemented a new technique in its security software that prevents it from creating any image containing bias, like tags of a specific gender, caste, or honours. It tries to replicate the true nature of the diversity of the population worldwide.

    Preventing the Creation of Harmful Images

    The content filters of Dall-E have been made efficient and effective to prevent people from violating the content policy. It doesn’t allow people to generate harmful images towards any organization, public figure, or adult content but stays true to its word of enabling creative expression.

    Monitoring

    Dall-E servers are constantly automated and humanly monitored to prevent people from misusing the platform.

    Conclusion

    In the end, after looking at some of the broad aspects of Dall-E, we can say this was machine learning, the artificial language we most probably needed. If you have a common question regarding whether it will take away the human workforce and make more people unemployed. Then, it certainly will not do that because it is still relatively new and needs to expand itself more to perform better in not only generating images out of the text. However, we must agree that this OpenAI development will undoubtedly change the way of working these days.

    That is why, hopefully, after reading the above, you are now aware of Dall-E, its workability, and some other aspects that could also help you as a company in many ways.

    FAQs

    What is DALL-E?

    In simple terms, DALL-E is a machine-learning model designed by OpenAI. It is designed to generate digital images from simple text descriptions.

    What does DALL-E stand for?

    The software, DALL-E is a blend of two names– WALL-E, the animated robot Pixar Character and Salvador Dali, the Spanish surrealist painter.

    How expensive is DALL-E?

    Users can create with DALL-E with 50 free credits during their first month of use,
    and 15 free credits every month. Also, they can buy additional credits in 115-generation increments for $15 with each text prompt worth 1 credit.