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🚀Discover #WebSD | Home: Revolutionizing AI models in web browsers! 🌐🔥 👉 Project: Stable Diffusion = Photorealistic images from text input 🌟 Advantages: Save costs, ensure privacy & personalize experiences 💡 Unleash client-side power with #WebGPU! 💪 🔍More: https://mlc.ai/web-stable-diffusion/ #AI #TechInnovation

Project: Stable Diffusion brings complex AI models to web browsers without server support.
Focus: Enables automatic generation of photorealistic images and diverse styles from text input.
Advantages: Shifts heavy computations to client-side for cost reduction, personalization, and privacy.
Hardware: Explores powerful client-side capabilities, like MacBook Pro with up to 96GB RAM and GPUs.
WebGPU: Testing limits with large-scale AI models; tested on Mac with M1/M2 GPUs in Chrome Canary.
Instructions: Install Chrome Canary, run commands to disable robustness features, enter prompt to generate images.
Demo Features: Render intermediate steps for UNet stage; observe image generation process.
Notes: Current WebGPU spec lacks FP16 support, consuming about 7GB memory; may work on Mac with AMD GPU.
Future: Seeking to optimize gaps in Chrome's WebGPU implementation for efficient execution.
Disclaimer: Demo is for research purposes; adhere to guidelines for stable diffusion models.