![]() We need to bring the models somewhere without the relevant GPU-accelerated Python frameworks. ![]() Still, there are big hurdles to cross, to name a few: We are just seeing necessary elements coming together on the client side, both in terms of hardware and browser ecosystem. To solve the compute problem, WebGPU is getting matured lately and enables native GPU executions on the browser. WebAssembly allows us to port more lower-level runtimes onto the web. For example, the latest MacBook Pro can have up to 96GB of unified RAM that can be used to store the model weights and a reasonably powerful GPU to run many of the workloads.īuilding special client apps for those applications is one option (which we also support), but won’t it be even more amazing if we can simply open a browser and directly bring AI natively to your browser tab? There is some level of readiness in the ecosystem. The client side is getting pretty powerful. The development of personal computers (even mobile devices) is going in the direction that enables such possibilities. There are many possible benefits, such as cost reduction on the service provider side, as well as an enhancement for personalization and privacy protection. There are a lot of reasons to get some (or all) of the computation to the client side. This project takes a step to change that status quo and bring more diversity to the ecosystem. Additionally, most of the workloads have to run on a specific type of GPUs where popular deep-learning frameworks are readily available. These models are usually big and compute-heavy, which means we have to pipe through all computation requests to (GPU) servers when developing web applications based on these models. Stable diffusion enables the automatic creation of photorealistic images as well as images in various styles based on text input. ![]() Thanks to the open-source effort, developers can now easily compose open-source models together to produce amazing tasks. We have been seeing amazing progress through AI models recently. Please checkout our demo webpage to try it out. To our knowledge, this is the the world’s first stable diffusion completely running on the browser. Everything runs inside the browser with no server support. This project brings stable diffusion models onto web browsers. ![]()
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