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How Hasura took Leonardo.Ai from first code commit to production in 30 days

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class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 py-1"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000">Time to market cut in half</strong></strong></strong></li><li class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 py-1"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000">700 million AI images generated by 6 million users</strong></strong></strong></li><li class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 py-1"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000">All website user functions route through Hasura</strong></strong></strong></li></ul><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Heralded by some as the next Canva, the hottest GenAI startup in Australia today is <a href="https://leonardo.ai/" class="text-blue-500 hover:text-blue-700 transition-all [&amp;>strong]:text-blue-500 [&amp;>strong]:hover:text-blue-700">Leonardo.Ai</a>. The breakthrough app for AI-driven image generation is in a period of explosive growth. In just under a year after launching, the generative AI content production app is creating 4.5 million new images a day, amassing more than 700 million images generated by a worldwide community of generative AI adopters and enthusiasts. </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">With the drive to move fast and the vision for both scaling up and expanding its offering to multiple clients, such as iOS, the engineers at Leonardo.Ai rely on <a href="https://hasura.io/" class="text-blue-500 hover:text-blue-700 transition-all [&amp;>strong]:text-blue-500 [&amp;>strong]:hover:text-blue-700">Hasura</a> to be the glue that holds everything together.<br></p><figure class="kg-card kg-image-card"><img src="https://lh7-us.googleusercontent.com/4-NA37f4ESFOC8mVP3GXgD4PVrloel01sk0IfRY-_4JQtSM0AVCcoVzm3V4s_8zE7lvQ-0PtG_RlgfIf1U7JOwhb1ioSHSEQ71uNl5dxKvoum3xOIEydJhPofPnIka0eTCbsbEsdzgUdirw6GclYPC0" class="kg-image" alt="" loading="lazy"></figure><h3 id="the-origin-story-breaking-the-bottleneck-with-ai" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5">The origin story: Breaking the bottleneck with AI</h3><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Leonardo's founders met while working at a video game company. Facing high production costs and long development cycles, they looked at emerging AI tools and ways to incorporate generative AI into their game development workflow, especially on the visual creative process. &nbsp;</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">“As we started thinking about how we could leverage the tech through a lens of production use cases for professional use, we came to realize that interacting with AI as a black box would soon lose its novelty. Then there would be a real need for having more control in the process,” said Jachin Bhasme Co-Founder and COO at Leonardo.Ai. “So we started building out a platform to enable creators to use generative AI for production use cases.”</p><h3 id="beyond-the-prompt-a-better-black-box" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5">Beyond the prompt: A better black box</h3><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Leonard.Ai’s solution was to start with the familiar, accessible prompt box seen on popular consumer large language models (LLMs) like ChatGPT and Bard, and build on that to bring a new level of control and fine-tuning to the image creation process. Expanding beyond the prompt, they added features like control nets and a powerful image editor built into the app. </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">“Quickly, people started to realize the versatility of the platform,” Bhasme said. “So within a few months, we started getting organic traction and the platform started to blow up. In terms of our user base, it grew beyond just game development to fashion, architecture, marketing, interior design… a whole range of industries.” </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">In its first year on the market, Leonardo.Ai had 7 million registered users generating images for practically any use case imaginable.</p><h3 id="shipping-an-early-christmas-present-with-hasura" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5">Shipping an early Christmas present with Hasura</h3><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">On November 24, 2022, Peter Runham made the first commit to Leonardo.Ai’s code repository. A month later, on Christmas Eve, the code was pushed up to production. “Our priority was time to market,” Runham, Leonardo.Ai’s CTO and Co-Founder, said.</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Runham and his co-founders coded and crunched at a breakneck speed, but they needed Hasura to meet their goals.</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">“We had to develop very rapidly. Hasura, with its ease of use, easy permission settings, and configuration, let us achieve that very quickly,” Runham said. “We can just plug it in straight to our database and get to work very quickly.”</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Hosted on AWS, the Leonardo.Ai web application uses PostgreSQL as its primary database. Hasura also provides an internal API for the Leonardo.Ai website. Any action a user does on the website routes through Hasura.</p><figure class="kg-card kg-image-card"><img src="https://lh7-us.googleusercontent.com/k2Rnc5fnvV3DgbRR0UEhuEGJbQE-qEevXAJxV6Rc67H1u_2uwN0DRvOB-RQK7gnEQsCSr69ZkxHqAp6cchth_EbNZlIT_Mnsmh-0KtlF63x6QvbbgK5PJHH1eJdmr0HE5EbelbGtNWtOFY9GWwJsb48" class="kg-image" alt="" loading="lazy"></figure><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">“Hasura is the glue between our frontend and backend workloads,” Runham continued. “So whenever you're generating an image on the platform, the platform is talking to Hasura, Hasura then invokes it through an Action, it talks to one of our serverless Lambda functions, which then goes to our AI workloads.” </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">The B2B API available to Leonardo.Ai customers, which uses features including REST endpoints, is also created using Hasura. Creating the B2B API was easy, Runham said, because they could reuse a lot of metadata from their existing Hasura instance. </p><h3 id="why-leonardoai-chose-hasura" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5">Why Leonardo.Ai chose Hasura</h3><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">A common strategy when developing a web app using Next.js is to also use Next.js APIs, but the Leonardo.Ai team had a vision for the future of their app, and they recognized they needed a different approach. A web app was only the beginning. An iOS and Android app was on their roadmap as well. </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">“One of the core reasons that we chose Hasura is because we knew we wanted to support multiple clients and to have a universal API across that,” Runham said. “So it was important to have something that we could pick up on our iOS client and any other future clients that we may have.”</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Runham said that, while the team knew they didn’t want to use Next.js APIs, they did want something with a similar developer experience. </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">“Rather than having to handcraft a REST endpoint for every single function on the platform, we wanted a GraphQL API – that would make it a lot easier to integrate quickly and not always require separate API development. You can just modify permissions, and for more complex business logic it's trivial to set up actions and events that point to serverless functions.,” Runham said. “Hasura was an easy choice that filled all those requirements.” </p><h3 id="%E2%80%9Ckiller%E2%80%9D-permissions-management-2x-speed-to-market" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5">“Killer” permissions management, 2x speed to market</h3><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Hasura’s functionality to granularly manage permissions from a convenient place is another key feature the Leonardo.Ai team needed. “Working out how permissions are going to work on each individual function basis gets quite complex,” Runham said. “So being able to do that in a central location with Hasura is probably the killer feature that ultimately pushed us to use it.” </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Runham added that, because Hasura connects to their database, the team can easily see what data they want to expose and exclude in the APIs they create. “Being able to secure custom Lambda functions behind a permissions matrix is incredibly powerful and we use that feature a lot,” he said.</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">By automating API generation and configuration, Hasura allows developers to focus on what they do best. To facilitate growth in the early stages of the project, Runham said it was very important that the team could easily offload that extra engineering work to enable rapid development. “There's no way we could have got to the market as quickly as we did without it,” he said. “We definitely got to market at least twice as fast because of Hasura.” &nbsp;</p><h3 id="the-future-of-generative-ai-needs-hasura" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000">The future of generative AI needs Hasura</strong></h3><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Leonardo.Ai is revolutionizing content creation, empowering its global community to effortlessly generate ideas and realistic images with its advanced <a href="https://leonardo.ai/" class="text-blue-500 hover:text-blue-700 transition-all [&amp;>strong]:text-blue-500 [&amp;>strong]:hover:text-blue-700">AI art generator</a>. The use cases for generative AI are wide-ranging, spanning from environments to portraits suitable for videos, games, and websites across a variety of industries.</p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">Hundreds of millions of images have already been generated with Leonardo.Ai, and the app has one of the largest generative AI communities globally with a Discord server with more than 1.8 million members; it is the third largest Discord community worldwide. </p><p class="text-hds-m-body1 tb:text-hds-t-body1 db:text-hds-d-body1 text-neutral-700 pb-8 last:pb-0 [&amp;>.button]:mt-4">As Leonardo.Ai continues to evolve, they’ll do it with Hasura. Runham said he’s excited about Hasura v3 and the enhancements that will come along with the next release. “I'm looking forward to the future of Hasura,” he said.</p><h3 id="sign-up-now-for-hasura-cloud-to-get-started" class="pb-1 tex-neutral-700 text-hds-m-h5 [&amp;>strong]:text-hds-m-h5 tb:text-hds-t-h5 tb:[&amp;>strong]:text-hds-t-h5 db:text-hds-d-h5 db:[&amp;>strong]:text-hds-d-h5"><strong class="text-hds-m-body1-bold tb:text-hds-t-body1-bold db:text-hds-d-body1-semi-bold text-neutral-1000"><a href="https://cloud.hasura.io/signup" class="text-blue-500 hover:text-blue-700 transition-all [&amp;>strong]:text-blue-500 [&amp;>strong]:hover:text-blue-700">Sign up</a> now for Hasura Cloud to get started!</strong></h3></div></div></div><div class="flex flex-col tb-l:pl-10 tb-l:border-l border-neutral-200 py-6 tb:py-12 tb-l:py-16 db:py-20"><div class="flex mt-10 tb-l:mt-0 flex-col min-w-[267px] tb:max-w-[267px] gap-[23px] pl-0 justify-start divide-y divide-neutral-200 "><div class="pt-[23px] first:pt-0"><a href="/blog/@hasurahq" class="whitespace-break-spaces avathor-img avathor-item-start"><div class="group block flex-shrink-0"><div class="flex items-center"><div><img class="h-12 w-12 min-w-[48px] shadow rounded-full rounded inline-block" src="https://hasura.io/blog/content/images/2022/02/profile_picture_standard.png" alt="Hasura"/></div><div class="ml-3"><div class="text-hds-m-body1-semi-bold tb:text-hds-t-body1-semi-bold db:text-hds-d-body1-semi-bold text-neutral-800">Hasura</div><div class="text-hds-m-body2 tb:text-hds-t-body2 db:text-hds-d-body2 text-neutral-600">Instant GraphQL API on all your data. G...</div></div></div></div></a></div><div class="flex gap-3 pt-[23px]"><p class="text-hds-m-h6 tb:text-hds-t-h6 db:text-hds-d-h6 text-neutral-700 uppercase">08 Jan, 2024</p><div class="flex items-center "><p class="w-1 h-1 rounded-full bg-neutral-1000 flex items-center justify-center"></p><p class="text-hds-m-h6 tb:text-hds-t-h6 db:text-hds-d-h6 text-neutral-700 pl-3">5 MIN READ</p></div></div><div class="pt-[23px]"><div class="flex items-center"><h6 class="text-hds-m-h6 tb:text-hds-t-h6 db:text-hds-d-h6 uppercase text-neutral-700 contents mr-6">Share</h6><div class="flex items-center pl-6"><a class="mr-5" href="https://twitter.com/intent/tweet?&amp;text=How Hasura took Leonardo.Ai from first code commit to production in 30 days&amp;url=https://hasura.io/blog/how-hasura-took-leonardo-ai-from-first-code-commit-to-production-in-30-days/" target="_blank" rel="noopener noreferrer"><svg class=" w-[18px]" width="20" height="19" viewBox="0 0 20 19" fill="none" 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The breakthrough app for AI-driven image generation is in a period of explosive growth. In just under a year after launching, the generative AI content production app is creating 4.5 million new images a day, amassing more than 700 million images generated by a worldwide community of generative AI adopters and enthusiasts. \u003c/p\u003e\u003cp\u003eWith the drive to move fast and the vision for both scaling up and expanding its offering to multiple clients, such as iOS, the engineers at Leonardo.Ai rely on \u003ca href=\"https://hasura.io/\"\u003eHasura\u003c/a\u003e to be the glue that holds everything together.\u003cbr\u003e\u003c/p\u003e\u003cfigure class=\"kg-card kg-image-card\"\u003e\u003cimg src=\"https://lh7-us.googleusercontent.com/4-NA37f4ESFOC8mVP3GXgD4PVrloel01sk0IfRY-_4JQtSM0AVCcoVzm3V4s_8zE7lvQ-0PtG_RlgfIf1U7JOwhb1ioSHSEQ71uNl5dxKvoum3xOIEydJhPofPnIka0eTCbsbEsdzgUdirw6GclYPC0\" class=\"kg-image\" alt loading=\"lazy\"\u003e\u003c/figure\u003e\u003ch3 id=\"the-origin-story-breaking-the-bottleneck-with-ai\"\u003eThe origin story: Breaking the bottleneck with AI\u003c/h3\u003e\u003cp\u003eLeonardo's founders met while working at a video game company. Facing high production costs and long development cycles, they looked at emerging AI tools and ways to incorporate generative AI into their game development workflow, especially on the visual creative process.  \u003c/p\u003e\u003cp\u003e“As we started thinking about how we could leverage the tech through a lens of production use cases for professional use, we came to realize that interacting with AI as a black box would soon lose its novelty. Then there would be a real need for having more control in the process,” said Jachin Bhasme Co-Founder and COO at Leonardo.Ai. “So we started building out a platform to enable creators to use generative AI for production use cases.”\u003c/p\u003e\u003ch3 id=\"beyond-the-prompt-a-better-black-box\"\u003eBeyond the prompt: A better black box\u003c/h3\u003e\u003cp\u003eLeonard.Ai’s solution was to start with the familiar, accessible prompt box seen on popular consumer large language models (LLMs) like ChatGPT and Bard, and build on that to bring a new level of control and fine-tuning to the image creation process. Expanding beyond the prompt, they added features like control nets and a powerful image editor built into the app. \u003c/p\u003e\u003cp\u003e“Quickly, people started to realize the versatility of the platform,” Bhasme said. “So within a few months, we started getting organic traction and the platform started to blow up. In terms of our user base, it grew beyond just game development to fashion, architecture, marketing, interior design… a whole range of industries.” \u003c/p\u003e\u003cp\u003eIn its first year on the market, Leonardo.Ai had 7 million registered users generating images for practically any use case imaginable.\u003c/p\u003e\u003ch3 id=\"shipping-an-early-christmas-present-with-hasura\"\u003eShipping an early Christmas present with Hasura\u003c/h3\u003e\u003cp\u003eOn November 24, 2022, Peter Runham made the first commit to Leonardo.Ai’s code repository. A month later, on Christmas Eve, the code was pushed up to production. “Our priority was time to market,” Runham, Leonardo.Ai’s CTO and Co-Founder, said.\u003c/p\u003e\u003cp\u003eRunham and his co-founders coded and crunched at a breakneck speed, but they needed Hasura to meet their goals.\u003c/p\u003e\u003cp\u003e“We had to develop very rapidly. Hasura, with its ease of use, easy permission settings, and configuration, let us achieve that very quickly,” Runham said. “We can just plug it in straight to our database and get to work very quickly.”\u003c/p\u003e\u003cp\u003eHosted on AWS, the Leonardo.Ai web application uses PostgreSQL as its primary database. Hasura also provides an internal API for the Leonardo.Ai website. Any action a user does on the website routes through Hasura.\u003c/p\u003e\u003cfigure class=\"kg-card kg-image-card\"\u003e\u003cimg src=\"https://lh7-us.googleusercontent.com/k2Rnc5fnvV3DgbRR0UEhuEGJbQE-qEevXAJxV6Rc67H1u_2uwN0DRvOB-RQK7gnEQsCSr69ZkxHqAp6cchth_EbNZlIT_Mnsmh-0KtlF63x6QvbbgK5PJHH1eJdmr0HE5EbelbGtNWtOFY9GWwJsb48\" class=\"kg-image\" alt loading=\"lazy\"\u003e\u003c/figure\u003e\u003cp\u003e“Hasura is the glue between our frontend and backend workloads,” Runham continued. “So whenever you're generating an image on the platform, the platform is talking to Hasura, Hasura then invokes it through an Action, it talks to one of our serverless Lambda functions, which then goes to our AI workloads.” \u003c/p\u003e\u003cp\u003eThe B2B API available to Leonardo.Ai customers, which uses features including REST endpoints, is also created using Hasura. Creating the B2B API was easy, Runham said, because they could reuse a lot of metadata from their existing Hasura instance. \u003c/p\u003e\u003ch3 id=\"why-leonardoai-chose-hasura\"\u003eWhy Leonardo.Ai chose Hasura\u003c/h3\u003e\u003cp\u003eA common strategy when developing a web app using Next.js is to also use Next.js APIs, but the Leonardo.Ai team had a vision for the future of their app, and they recognized they needed a different approach. A web app was only the beginning. An iOS and Android app was on their roadmap as well. \u003c/p\u003e\u003cp\u003e“One of the core reasons that we chose Hasura is because we knew we wanted to support multiple clients and to have a universal API across that,” Runham said. “So it was important to have something that we could pick up on our iOS client and any other future clients that we may have.”\u003c/p\u003e\u003cp\u003eRunham said that, while the team knew they didn’t want to use Next.js APIs, they did want something with a similar developer experience. \u003c/p\u003e\u003cp\u003e“Rather than having to handcraft a REST endpoint for every single function on the platform, we wanted a GraphQL API – that would make it a lot easier to integrate quickly and not always require separate API development. You can just modify permissions, and for more complex business logic it's trivial to set up actions and events that point to serverless functions.,” Runham said. “Hasura was an easy choice that filled all those requirements.” \u003c/p\u003e\u003ch3 id=\"%E2%80%9Ckiller%E2%80%9D-permissions-management-2x-speed-to-market\"\u003e“Killer” permissions management, 2x speed to market\u003c/h3\u003e\u003cp\u003eHasura’s functionality to granularly manage permissions from a convenient place is another key feature the Leonardo.Ai team needed. “Working out how permissions are going to work on each individual function basis gets quite complex,” Runham said. “So being able to do that in a central location with Hasura is probably the killer feature that ultimately pushed us to use it.” \u003c/p\u003e\u003cp\u003eRunham added that, because Hasura connects to their database, the team can easily see what data they want to expose and exclude in the APIs they create. “Being able to secure custom Lambda functions behind a permissions matrix is incredibly powerful and we use that feature a lot,” he said.\u003c/p\u003e\u003cp\u003eBy automating API generation and configuration, Hasura allows developers to focus on what they do best. To facilitate growth in the early stages of the project, Runham said it was very important that the team could easily offload that extra engineering work to enable rapid development. “There's no way we could have got to the market as quickly as we did without it,” he said. “We definitely got to market at least twice as fast because of Hasura.”  \u003c/p\u003e\u003ch3 id=\"the-future-of-generative-ai-needs-hasura\"\u003e\u003cstrong\u003eThe future of generative AI needs Hasura\u003c/strong\u003e\u003c/h3\u003e\u003cp\u003eLeonardo.Ai is revolutionizing content creation, empowering its global community to effortlessly generate ideas and realistic images with its advanced \u003ca href=\"https://leonardo.ai/\"\u003eAI art generator\u003c/a\u003e. The use cases for generative AI are wide-ranging, spanning from environments to portraits suitable for videos, games, and websites across a variety of industries.\u003c/p\u003e\u003cp\u003eHundreds of millions of images have already been generated with Leonardo.Ai, and the app has one of the largest generative AI communities globally with a Discord server with more than 1.8 million members; it is the third largest Discord community worldwide. \u003c/p\u003e\u003cp\u003eAs Leonardo.Ai continues to evolve, they’ll do it with Hasura. Runham said he’s excited about Hasura v3 and the enhancements that will come along with the next release. “I'm looking forward to the future of Hasura,” he said.\u003c/p\u003e\u003ch3 id=\"sign-up-now-for-hasura-cloud-to-get-started\"\u003e\u003cstrong\u003e\u003ca href=\"https://cloud.hasura.io/signup\"\u003eSign up\u003c/a\u003e now for Hasura Cloud to get started!\u003c/strong\u003e\u003c/h3\u003e","comment_id":"659bf951b56b8a48e0017da2","feature_image":"https://hasura.io/blog/content/images/2024/01/LeonardoAI-og.png","featured":false,"visibility":"public","created_at":"2024-01-08T19:02:01.000+05:30","updated_at":"2024-04-16T20:59:24.000+05:30","published_at":"2024-01-08T19:11:24.000+05:30","custom_excerpt":"“There's no way we could have got to the market as quickly as we did without it,” he said. “We definitely got to market at least twice as fast because of Hasura.” ","codeinjection_head":null,"codeinjection_foot":null,"custom_template":null,"canonical_url":null,"email_recipient_filter":"none","authors":[{"id":"1","name":"Hasura","slug":"hasurahq","profile_image":"https://hasura.io/blog/content/images/2022/02/profile_picture_standard.png","cover_image":"https://hasura.io/blog/content/images/2019/01/hasura_blog_cover_image.jpeg","bio":"Instant GraphQL API on all your data. 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