What if I get protobuf parsing failed error?

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

What if I get sbox_fatal_memory_exceeded?

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

How did you make it possible?

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

Which version of Chrome is required?

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

Where is the model stored after download?

The model is stored in your browser cache.

What are the options available after downloading the model?

Options available are Load model, Run, and Ready.

Do specific flags need to be enabled in Chrome?

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

What is the PNDM Scheduler?

It influences the number of steps in generating the image.

What if I encounter other issues?

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

Try our new, FREE Youtube Summarizer!

Stable Diffusion Webgpu

Name: Stable Diffusion Webgpu
Brand: Stable Diffusion Webgpu
Rating: 1 (1 reviews)
Author: Stable Diffusion Webgpu

Last updated: August 8, 2024

0 reviews

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.

Join 47,000+ learning AI in 3 minutes daily

Join our free daily newsletter talking about AI News, AI Products, AI tutorials, and more.

Completely free, unsubscribe at any time.

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

Stable Diffusion Webgpu's pricing

Customer Reviews

Share your thoughts

If you've used this product, share your thoughts with other customers

Top Stable Diffusion Webgpu Alternatives

Automatic 1111
Optimize Stable Diffusion Models with AUTOMATIC1111 Notebook on Colab
DiffusionBee
The fastest and easiest AI toolbox for macOS.
DreamBooth
DreamBooth with Stable Diffusion in Colab
Kmeans
Optimized Machine Learning with WebGPU and Specialized Models on kmeans.org
Dreamlook.ai
Finetune and Generate Stable Diffusion Models Faster with dreamlook.ai
Stablematic
Fast and Easy Machine Learning with Stablematic
Devoid
Unlock Creative Potential with Devoid Diffusion AI Generator
QRDiffusion
Create Artistic QR Codes with QR Diffusion
Getimg ai
Expand and Complete Your Images with Stable Diffusion Outpainting