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Stable Diffusion Webgpu

Run the Stable Diffusion model in your browser with GPU acceleration. Customize settings, troubleshoot errors, and enjoy seamless image generation.

Image Generation Updated 1 hour ago
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Stable Diffusion Webgpu

Stable Diffusion Webgpu's Top Features

GPU acceleration in-browser
Customizable image generation settings
Direct model download to browser cache
Support for experimental WebAssembly flags
Ability to run VAE after each inference step
Error troubleshooting via FAQ
Ported StableDiffusionPipeline from Python to JavaScript
Large memory allocation support with onnxruntime and emscripten+binaryen
FP16 support with recent Chrome versions
Seamless integration with web technologies

Frequently asked questions about Stable Diffusion Webgpu

Open DevTools, go to Application -> Storage, and press 'Clear site data'.

You don't have enough RAM to run SD. Try reloading the tab or browser.

StableDiffusionPipeline was ported from Python to JavaScript, and onnxruntime and emscripten+binaryen were patched to support more than 4GB of memory.

You need Chrome Canary 119 or newer. Chrome Canary 121 or higher is required for FP16 support.

The model is stored in your browser cache.

Settings include prompt, negative prompt, number of inference steps, guidance scale, seed, and running VAE after each step.

Options available are Load model, Run, and Ready.

Yes, you need 'Experimental WebAssembly' and 'Experimental WebAssembly JavaScript Promise Integration (JSPI)' flags enabled.

It influences the number of steps in generating the image.

Consult the FAQ section for common issues or seek support from the service provider.

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