How to Prompt Images on the Generative AI Platform Images ai

It’s not just photographers, but also conservationists who must contend with these developments. To see these features in action, visit Cloudinary Academy or our YouTube channel. AI models lack a clear understanding of quantities, such as the abstract concept of “four”. Issues also arise when dealing with smaller objects that require intricate details, such as hands. Humans can easily recognise text symbols (such as letters, numbers and characters) written in various different fonts and handwriting. We can also produce text in different contexts, and understand how context can change meaning.

Use AI inpainting to remove unwanted objects from images, or alter any other elements. Just erase part of the image and tell AI what to render in empty space. It possesses specialized knowledge in solidity development, smart contracts, pine script, and a wide range of other solutions, leveraging its advanced Yakov Livshits AI capabilities. The foundation of ChainGPT is rooted in the refinement and extensive training of open-source machine learning models, propelling it to become the advanced AI model it is today. In addition to its expertise in blockchain and crypto, ChainGPT also empowers users to create NFTs.

What is an AI image generator?

AI can handle abstract concepts, so feel free to incorporate them into your prompts. For example, you can request an image that conveys “the feeling of autumn” or “the concept of freedom.” If you’re aiming for historical or futuristic images, specify the time period or era you want the image to reflect. You can use terms like “vibrant,” “pastel,” or “monochrome” to influence the overall color scheme.

Talk with sales to get a tailored demo, free pilot of Jasper with Business features enabled, and a white-glove setup from a dedicated CSM. You can use the images you create using Jasper Art for your personal use and for any commercial projects that include those images. We don’t have any limitations on the types of commercial projects where you could use the images. You can reprint and sell the images as your imagination permits – in digital forms, on the internet, on your website or other sites, on t-shirts, on tote bags, on coffee mugs, you name it!

Ask an NLP Engineer: From GPT Models to the Ethics of AI

DALL-E 2 is a follow-up version of Dall-E and an image AI picture generator by OpenAI that came out in April 2022. It is able to create wider images of different styles as it can zoom an image beyond its original dimensions via an exciting feature called Outpainting. Generative adversarial networks comprise two neural networks, one is a generator, and the other is a discriminator.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

We are exploring the possibility of supporting additional file formats and higher resolutions. This means we currently only support the creation of square images. We do intend to add support for vertical and horizontal images in the near future. A fun perk of Midjourney’s platform is that you get to see everyone else’s inputs and outputs in the Discord chat. Despite originally having the name DALL-E mini, this AI art generator is NOT affiliated with OpenAI or DALL-E 2, rather, it is an open-source alternative. However, the name DALL-E 2 mini is somewhat fitting, as it does everything that DALL-E 2 does, just with less precise renditions.

Indeed, when we ask Stable Diffusion to generate “An image of a woman”, it outputs many images that can each be considered to reflect this prompt. This aspect of the model is valuable because Yakov Livshits each of these images is indeed “An image of a woman”. Additionally, for text-to-image models the “meaning vectors” generally have many more than two “entries” (or “components”).

An A.I.-powered version of Photoshop and the image generator Midjourney live up to the hype. Here, we’ve maintained the height of the original (900px) but increased the width to 1100px. The new areas to the left and right of the original have been created using Generative Fill. Generative Fill works with Cloudinary’s padding Yakov Livshits crop modes and leverages the new gen_fill option for backgrounds (or b_gen_fill for the URL API). Combining these options allows users to achieve a visually pleasing fill that seamlessly matches the original image. We use the Diffusion Model to generate a new image, and we condition this process using the meaning vector.

Manifesting meaning visually

The creation of crowd pieces and filler designs for a game’s background is another intriguing use case. Canva is a versatile and powerful AI art generator that offers a wide range of options. It allows users to create professional-looking designs for different marketing channels, including social media posts, ads, flyers, brochures, and more. An AI art generator refers to software that uses AI to create images from user text inputs, usually within seconds.