These tools are also incredibly versatile, creating figures,
Posted: Mon Jan 06, 2025 4:50 am
Gone are the days when one had to necessarily raise the flag of (blessed) patience and invest hours, days, months and even years creating works of art. In the era of instant gratification, art has also been emancipated from patience , so abhorred in these times.
With AI tools such as DALL-E 2, Midjourney or Stable Diffusion, a short set of words is enough to generate ipso facto (and almost by magic) images that would have previously required a huge amount of work hours.
The so-called "text-to-image generators" are considered to be a milestone of absolutely colossal dimensions in the field of "machine learning", a sub-area of AI.
The creations born from the womb of DALL-E 2, Midjourney, Stable Diffusion and the like are not only instantaneous but also completely new. They are “invented” and, although they use as raw material images created by real humans, they boast of being 100% original.
landscapes and textures. The styles cultivated by this type of software are also very diverse. It doesn't matter if we're talking about photorealism, switzerland number data cubism or manga, AI is able to successfully imitate any style through prompts or textual descriptions in English.
The revolution lurking in the bowels of generative AI is so monumental that the working methods of illustrators, designers, and photographers are already riding the back of the changes . And the (fascinating) debate about the definition of art in the coming years has only just begun.
Image generators are already transforming the creative process of creative professionals
Among those who are rooting for the technology, which is also clearly not without its flaws is Nicolay Mausz, a computer scientist and owner of the German software company flying dog . Mausz sees generative AI as comparable to the first moon landing . Mausz has developed what he claims is the first 100% stable Stable Diffusion extension for Photoshop. Priced at $89, the extension will significantly speed up the work of designers, Mausz told Spiegel . “Generative AI will have a major impact on product design, interior design and fashion. And the advertising industry also has a lot to gain from this technology . In the future, advertisers will work exclusively with this type of tool, from start to finish,” Mausz predicts.
Despite its striking resemblance to the creativity concocted by real-life humans, the creativity emanating from generative AI is at the mercy of 100% technological processes . Basically, Midjourney and company have learned to strip the noise from the images they generate. And to do so, these tools have been previously fed with millions of images and textual descriptions. These images burst into the AI models deliberately unrecognizable and permeated with noise when superimposed on each other. The AI's job is to reverse the process and generate noise-free images from brief text descriptions.
“I was initially really excited about generative AI, but at the same time I thought tha
With AI tools such as DALL-E 2, Midjourney or Stable Diffusion, a short set of words is enough to generate ipso facto (and almost by magic) images that would have previously required a huge amount of work hours.
The so-called "text-to-image generators" are considered to be a milestone of absolutely colossal dimensions in the field of "machine learning", a sub-area of AI.
The creations born from the womb of DALL-E 2, Midjourney, Stable Diffusion and the like are not only instantaneous but also completely new. They are “invented” and, although they use as raw material images created by real humans, they boast of being 100% original.
landscapes and textures. The styles cultivated by this type of software are also very diverse. It doesn't matter if we're talking about photorealism, switzerland number data cubism or manga, AI is able to successfully imitate any style through prompts or textual descriptions in English.
The revolution lurking in the bowels of generative AI is so monumental that the working methods of illustrators, designers, and photographers are already riding the back of the changes . And the (fascinating) debate about the definition of art in the coming years has only just begun.
Image generators are already transforming the creative process of creative professionals
Among those who are rooting for the technology, which is also clearly not without its flaws is Nicolay Mausz, a computer scientist and owner of the German software company flying dog . Mausz sees generative AI as comparable to the first moon landing . Mausz has developed what he claims is the first 100% stable Stable Diffusion extension for Photoshop. Priced at $89, the extension will significantly speed up the work of designers, Mausz told Spiegel . “Generative AI will have a major impact on product design, interior design and fashion. And the advertising industry also has a lot to gain from this technology . In the future, advertisers will work exclusively with this type of tool, from start to finish,” Mausz predicts.
Despite its striking resemblance to the creativity concocted by real-life humans, the creativity emanating from generative AI is at the mercy of 100% technological processes . Basically, Midjourney and company have learned to strip the noise from the images they generate. And to do so, these tools have been previously fed with millions of images and textual descriptions. These images burst into the AI models deliberately unrecognizable and permeated with noise when superimposed on each other. The AI's job is to reverse the process and generate noise-free images from brief text descriptions.
“I was initially really excited about generative AI, but at the same time I thought tha