Stable Diffusion Webgpu vs Automatic 1111
Side-by-side comparison · Updated April 2026
| Description | 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. | The "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. |
| Category | Image Generation | Image Generation |
| Rating | No reviews | No reviews |
| Pricing | N/A | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | WebGPUStable Diffusionimage generationbrowserGPU acceleration | Google ColabnotebookStable DiffusionTheLastBen |
| 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 | ||
| 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 | ||
| View Stable Diffusion Webgpu | View Automatic 1111 | |