However, using AI to create digital art is also a very popular application, thanks to services such as Midjourney<\/a> and Stable Diffusion<\/a>. In this blog, we\u2019re going to dive into Stable Diffusion Upscale<\/strong>, so that you can stay ahead of the curve when it comes to collaborating with AI, and present your visions to the world exactly how you want them to be seen.<\/p>\n\n\n\n AI has completely changed the playing field when it comes to living our daily lives. Over the past six months or so, people have been using different artificial intelligence models to assist them with completing their tasks with less effort. <\/p>\n\n\n\n And although alarm bells have been raised recently by tech giants like Tesla, Twitter, and Neurolink\u2019s Elon Musk about the potential threat that AI poses to the continuity of the human race as a whole, there\u2019s no arguing that this genie has truly been let out of the bottle \u2014 and it will never go back in. <\/p>\n\n\n\n Today, anyone with a computer and\/or smartphone has the ability to interact with artificial intelligence like never before<\/a>. And that includes those of us who are interested in art, because there are now AI services that are able to generate images from accurate text prompts and keywords. <\/p>\n\n\n\n This is why digital art is now becoming a winner with many budding and dedicated artists worldwide. Midjourney and DALL-E are probably the most well-known of these AI image generators, followed closely by Craiyon<\/a> and Stable Diffusion. <\/p>\n\n\n\n But how well does Stable Diffusion actually work when it comes to producing quality results? And is that the reason why you need to worry about upscaling the images that it generates? <\/p>\n\n\n\n Let\u2019s take a closer look at the upscale debate\u2026<\/p>\n\n\n\n Although it can be very useful, artificial intelligence isn\u2019t exactly perfect \u2014 well, not yet anyway. And so, this is why many users of Stable Diffusion have noticed some issues with inaccuracies with the AI model\u2019s output, as well as visual degradation of generated images in some cases. <\/p>\n\n\n\n For instance, Stable Diffusion already has a reputation for not being great at generating images that contain human limbs. It also has an issue with faces, which tend to be quite similar, due to the lack of varying ethnic features that were represented in the database used to build the AI. <\/p>\n\n\n\n Then there\u2019s the fact that many users believe Stable Diffusion\u2019s main problem could stem from the fact that the AI was trained with a dataset of images<\/a> that were only 512 \u00d7 512 pixels in resolution. <\/p>\n\n\n\n This resolution was later increased to 768 \u00d7 768 with the Stable Diffusion 2.0 update. But even though the AI is now able to generate images at this higher resolution, the resulting output can still not appear exactly as you would like it to. <\/p>\n\n\n\n So, although the images the AI model generates may have the feel and tone that you were after, the most common complaint against Stable Diffusion is that the final size of the output is generally quite disappointing and very small, which makes it difficult to use for other digital purposes. <\/p>\n\n\n\n Although the images the AI model generates may have the feel and tone that you were after, the most common complaint against Stable Diffusion is that the final size of the output is generally quite disappointing and very small, which makes it difficult to use for other digital purposes. <\/em><\/p>\n<\/blockquote>\n\n\n\n And this is why upscaling your images after they\u2019ve been generated by Stable Diffusion may be an important step that you need to take \u2014 especially if you\u2019re a content creator or digital artist, and you want to display your digital art on your website or for other marketing purposes. <\/p>\n\n\n\n As we\u2019ve just mentioned, by default, Stable Diffusion\u2019s image size is now 768 x 768 pixels. But as any digital artist will tell you, this is actually quite small by today\u2019s standards. Even most social media platforms require at least a 1080 x 1080 resolution for posting images, in order for them to appear acceptable when on screen.<\/p>\n\n\n\n By default, Stable Diffusion\u2019s default image size is now 768 x 768 pixels. But as any digital artist will tell you, this is actually quite small by today\u2019s standards. Even most social media platforms require at least a 1080 x 1080 resolution for posting images, in order for them to appear acceptable when on screen.<\/em><\/p>\n<\/blockquote>\n\n\n\n
\n\n\n\n\n\n\n\nStable Diffusion Upscale<\/h2>\n\n\n\n
\n\n\n\nThe What And Why Of Upscaling<\/h2>\n\n\n\n
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\n\n\n\nSize Does Matter<\/h2>\n\n\n\n
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