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The Stable Diffusion WebGPU service allows users to run the Stable Diffusion image generation model directly in their browser using GPU acceleration. It requires the latest version of Chrome with specific experimental flags enabled, and provides customizable settings for generating images. Users can download the model directly to their browser cache and adjust settings such as prompt, negative prompt, number of inference steps, guidance scale, and more. Support is available for troubleshooting common errors and issues.
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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
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