home logo Freework.AI
Homeright arrowright arrowStable Diffusion Webgpu
Stable Diffusion Webgpu icon

Stable Diffusion Webgpu

icon imageicon imageicon imageicon imageicon imageAvg rating of 5

Generate images seamlessly with Stable Diffusion WebGPU Demo. Harnessing the power of create-react-app framework, this innovative web-based application is a must-have. Enable JavaScript and use the latest Chrome version with experimental flags for an enhanced experience.

left arrow
right arrow

What is Stable Diffusion Webgpu?

Stable Diffusion WebGPU Demo is a cutting-edge web application that leverages the create-react-app framework to enable users to effortlessly create images. To use this application, simply ensure that JavaScript is enabled and access it through the latest version of Chrome with the "Experimental WebAssembly" and "Experimental WebAssembly JavaScript Promise Integration (JSPI)" flags turned on. This ensures optimal performance and a seamless user experience.

Information

Price
Free

Freework.ai Spotlight

Display Your Achievement: Get Our Custom-Made Badge to Highlight Your Success on Your Website and Attract More Visitors to Your Solution.

Copy Embed Code

Website traffic

  • Monthly visits
    14.51K
  • Avg visit duration
    00:00:16
  • Bounce rate
    79.86%
  • Unique users
    --
  • Total pages views
    18.10K

Access Top 5 countries

Traffic source

Stable Diffusion Webgpu FQA

  • What if I get protobuf parsing failed error?icon plus
  • What if I get sbox_fatal_memory_exceeded?icon plus
  • How did you make it possible?icon plus
  • Can I run it locally?icon plus
  • Can I use your patched onnxruntime to run big LLMs with transformers.js?icon plus

Stable Diffusion Webgpu Use Cases

To download StableDiffusion 2.1 base, press the button below.

If you encounter a protobuf parsing failed error, clear site data in DevTools.

If you receive an sbox_fatal_memory_exceeded error, try reloading the tab or browser.

StableDiffusionPipeline was ported from python to JS to make it possible to run.

You can run Stable Diffusion Webgpu locally by accessing the code on GitHub.

You can use the patched onnxruntime to run big LLMs with transformers.js.

A pull request will be made in the onnxruntime repo.

twitter icon Follow us on Twitter