Automatic 1111 vs Stable Diffusion Webgpu

Side-by-side comparison · Updated April 2026

 Automatic 1111Automatic 1111Stable Diffusion WebgpuStable Diffusion Webgpu
DescriptionThe "fast_stable_diffusion_AUTOMATIC1111" notebook on Google Colab by TheLastBen is designed for efficient deployment and use of Stable Diffusion models. It includes pre-configured scripts and performance markers that enhance the model's functionality. The notebook also contains Google Inc.'s code snippets to ensure smooth integration. Users can enable or disable private outputs as needed.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.
CategoryImage GenerationImage Generation
RatingNo reviewsNo reviews
PricingFreemiumN/A
Starting PriceFreeN/A
Plans
  • Google Colab FreeFree
  • Google Colab Pro$9.99/mo
  • Google Colab Pro+$49.99/mo
Use Cases
  • AI Researchers
  • Data Scientists
  • Developers
  • Machine Learning Engineers
  • Web Developers
  • Digital Artists
  • AI Enthusiasts
  • Educators
Tags
Google ColabnotebookStable DiffusionTheLastBen
WebGPUStable Diffusionimage generationbrowserGPU acceleration
Features
Efficient deployment of Stable Diffusion models
Pre-configured scripts
Performance markers
Google Inc. code snippets
Private output settings
User-friendly
Modifiable scripts
Smooth integration
Practical examples
No special settings required
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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