Post: Stable Diffusion WebGPU

Stable Diffusion WebGPU

Last Updated: August 6, 2023Categories: Image Generator3.4 min read

Stable Diffusion WebGPU: Enhancing Web-Based Image Generation

Stable Diffusion WebGPU Demo is an innovative web-based application that leverages the create-react-app framework to enable users to generate images seamlessly. The application offers a user-friendly interface, optimized inference steps, and utilizes the CPU-based UNET model for superior performance and accuracy. With DevTools compatibility and cached model files, the image generation process is streamlined and efficient.


  • 🔧 Web-Based Image Generation: Generate images through a web-based application using the create-react-app framework.
  • 🔧 User-Friendly Interface: Easily control the image generation process through a user-friendly interface.
  • 🔧 Optimized Inference: Perform a series of inference steps for efficient image generation.
  • 🔧 CPU-based UNET Model: Utilize the UNET model running on the CPU for superior performance and accuracy.
  • 🔧 DevTools Compatibility: Close DevTools to optimize the image generation process.
  • 🔧 Cached Model Files: Benefit from cached model files to avoid repetitive downloads.

Use Cases

  1. 🎮 Gaming Applications: Stable Diffusion WebGPU opens up possibilities for running complex, high-quality games directly within web browsers without sacrificing performance.
  2. 📈 Data Analytics: Users can perform data-intensive tasks, such as big data analysis and machine learning, using GPU acceleration in the browser, reducing the need for extensive server-side processing.
  3. 🌐 Web-Based AI Applications: Stable Diffusion WebGPU enables developers to deploy AI models in the browser with access to greater memory, unlocking more advanced AI functionalities for web applications.

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Stable Diffusion WebGPU brings a new era of GPU computing to web browsers, enabling the execution of high-memory applications without the need for dedicated servers or local installations. Its successful porting of StableDiffusionPipeline and patching of essential tools demonstrate a promising future for web-based GPU computing.


Q: What if I get protobuf parsing failed error?

A: If encountering a protobuf parsing failed error, clearing site data in DevTools can resolve the issue.

Q: What if I get sbox_fatal_memory_exceeded?

A: If facing an sbox_fatal_memory_exceeded error, it indicates insufficient RAM to run Stable Diffusion WebGPU. Reloading the tab or browser might help.

Q: How did you make it possible?

A: The development involved porting StableDiffusionPipeline to JavaScript and patching onnxruntime and emscripten+binaryen for memory allocation and usage above 4GB in the browser.

Q: Why is it so slow?

A: Currently, Stable Diffusion WebGPU lacks multi-threading support and relies on single-core processing. Proposed spec changes and patches aim to improve its speed in the future.

Q: Can I run it locally?

A: Yes, the code for this page is available on GitHub: Stable Diffusion WebGPU Minimal.

Q: Can I use your patched onnxruntime to run big LLMs with transformers.js?

A: Yes, the patched onnxruntime supports up to 8GB of memory, allowing loading weights of up to approximately 4GB. The package @aislamov/onnxruntime-web64 can be used for this purpose.

Q: Are you going to make a pull request in onnxruntime repo?

A: Yes, the developer plans to submit a pull request in the onnxruntime repository, building on previous contributions such as adding GPU acceleration to node.js binding.

Q: What are the minimum system requirements to use Stable Diffusion WebGPU Demo?

A: To access the application, users need to enable JavaScript and use the latest version of Chrome with the “Experimental WebAssembly” and “Experimental WebAssembly JavaScript Promise Integration (JSPI)” flags enabled.

Q: Can I use Stable Diffusion WebGPU Demo for commercial projects?

A: Yes, the tool offers various pricing plans, including enterprise and business options, suitable for commercial use.

Q: Are there any alternatives to Stable Diffusion WebGPU Demo for image generation?

A: Yes, there are alternative AI tools available.

Q: Is there any customer support available for Stable Diffusion WebGPU Demo?

A: Yes, users subscribed to the enterprise and business plans receive dedicated support for their inquiries.

Q: Can I generate images without using the create-react-app framework?

A: No, Stable Diffusion WebGPU Demo relies on the create-react-app framework for its image generation capabilities.

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