The new feature, which OpenAI calls "outpainting," could be useful to graphic designers who need to create multiple sizes and shapes of a particular image to present in different contexts. A movie promo image, for instance, might require a perfectly square shape in one context, and a tall rectangular shape in another. For the latter, new art is required to fill in the extra space. Now, the editing interface is getting some new buttons to control the expansion of images. In a demo Tuesday, I watched OpenAI engineer David Schnurr extend an image DALL-E had created earlier based on the keywords "two teddy bears mixing sparkling chemicals inside of a laboratory."

Collections of MidJourney arts with instructions how to achieve such results. Also I will post information about effective use of AI engine such as MidJourney, Dall-e and which are the principles of communication with any AI model. If you have Telegram, you can view and join MidJourney AI Generated Art Gallery right away.

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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! OpenAI is slashing the price of its GPT-3 API service by up to two-thirds, according to an announcement on the company's website. The new pricing plan, which is effective September 1, may have a large impact on companies that are building products on top of OpenAI's flagship large language model (LLM). The announcement comes as recent months have seen growing interest in LLMs and their applications in different fields.

Written By: Manuel Chavez Sources: Located at the end of article. What is GTP-3 (Generative Pre-trained Transformer 3)? GTP-3 is a neural network machine learning model trained using data to generate any text. It requires a small amount of input text to generate large volumes of relevant machine generated text. The capabilities of GTP-3 include being able to generate various texts depending on the context. The model predicts statements according to the inputted text and because of its context based nature it can have creative capabilities.

To scale the model up to 12-billion parameters, i.e. GPT-3, a dataset of a similar scale to JFT-300M is created by collecting 250 million text-images pairs from the internet. This dataset does not include MS-COCO, but does include Conceptual Captions and a filtered subset of YFCC100M. To scale the model up to 12-billion parameters, i.e. GPT-3, a dataset of a similar scale to JFT-300M is created by collecting 250 million text-images pairs from the internet.

Adding unique, quality images can be a great help for SEO. Often, when you're writing an article, it's hard to find the right image to illustrate it – especially if you're looking for a royalty-free image. This is where quality images can make all the difference, as a captivating image can help grab the attention of internet users and improve your article's search rankings. Optimizing your images is a good SEO practice. It notably helps to strengthen your semantic power via keywords and ensures your presence in Google images.

Is artificial intelligence about to take over the fashion world, one runway at a time? AI-powered text-to-image generators like OpenAI's Dall-E and Midjourney have gone absolutely viral, and for good reason. Sure, they can produce some seriously nutty imagery, but at the end of the day it's the quality of that output, whether realistic or outlandish, that makes it so captivating -- not to mention useful. That in mind, these programs, though still in beta, are already starting to make their way into creative industries. And yesterday, Twitter got a taste of what the beginnings of text-to-image-generated fashion might look like.

The simplest way to try Stable Diffusion is to use Dream Studio, a tool recently released by Stability.AI. At the moment it only includes generation via text prompt, but soon they promise to add additional features, such as inpainting or image-to-image generation. It gives you a limited number of image generations to play with. Similar tool for neural image generation is Night Cafe. In addition to generation, you can also become part of the community, share your results and take part in discussions.

Just over a century since The Manifesto of Futurist Architecture declared the city must be rethought and rebuilt like an "immense and tumultuous shipyard" – "everywhere dynamic", and the house like a "gigantic machine", it may be that author Antonio Sant'Elia had things the wrong way around. Because although his machine-fetishising sketches inspired our common vision of a science-fiction future – as in Fritz Lang's 1927 film Metropolis, with its technological Tower of Babel an imposing centrepiece – it might be the gigantic machines that are making our houses. Architecture and AI visionaries – forming especially around MIT in the 1950s, through to the later work of MIT Media Lab co-founder Nicholas Negroponte – and design pioneers have long thought about automating the creation of our environments. Now the technology is catching up to their ideas, and a radical shift into AI-assisted design is taking hold, with implications that could radically transform the form, feel and function of the places we inhabit. Completely automated design is not quite there yet. This crop of generative, AI-assisted tools is rather new.