Stable Diffusion Webgpu AI

Stable Diffusion WebGPU Minimal

Experience Stable Diffusion WebGPU Minimal by enabling "Experimental WebAssembly" and "Experimental WebAssembly JavaScript Promise Integration (JSPI)" flags on the latest Chrome browser. Note that each inference step takes approximately 1 minute plus ~10 seconds to run the VAE decoder for image generation. Running UNET on CPU is recommended for optimal results, but it may hang the browser tab. With a minimum of 20 steps, you can achieve acceptable results, but for demo purposes, 3 steps are sufficient. Model files are cached for convenient reuse.

Semrush rank: 11.9m
Location: Reykjavik,Iceland
Release time: Mar. 2023
chrome extensions

Features

  • Model Loading: Load the Stable Diffusion WebGPU Minimal model to initiate the application.
  • Execution: Execute the Stable Diffusion WebGPU Minimal application once the model is loaded.
  • Readiness: The Stable Diffusion WebGPU Minimal application is ready to use after successfully loading and executing the model.

Use Cases:

  • GitHub Follow: Stay updated by following the creator of Stable Diffusion WebGPU Minimal on GitHub.
  • FAQ: Explore commonly asked questions and solutions related to the Stable Diffusion WebGPU Minimal application.

Experience the innovative Stable Diffusion WebGPU Minimal application, enabling the execution of Stable Diffusion Pipeline in-browser using cutting-edge WebAssembly and WebGPU technologies.

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