web-stable-diffusion and stable-diffusion-webui-colab
These are complements serving different deployment contexts: one enables in-browser inference without server infrastructure, while the other provides a feature-rich UI optimized for cloud notebook environments where server-side computation is available.
About web-stable-diffusion
mlc-ai/web-stable-diffusion
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Leverages Apache TVM Unity's machine learning compilation to transform Hugging Face Stable Diffusion models through TorchDynamo/Torch FX capture, then automatically optimizes them using TensorIR and MetaSchedule for WebGPU execution. The workflow enables Python-first model development that compiles to WebAssembly and JavaScript runtimes, with careful memory management to fit large diffusion models within browser constraints. Integrates with PyTorch, Hugging Face diffusers, Rust tokenizers, and WebGPU for hardware-accelerated inference across diverse client environments.
About stable-diffusion-webui-colab
camenduru/stable-diffusion-webui-colab
stable diffusion webui colab
Provides multiple curated notebook variants (lite, stable, nightly) optimized for Google Colab's free GPU tier, with integrated ControlNet v1.1 support and pre-configured model checkpoints from Hugging Face. Includes specialized branches for DreamBooth/LoRA training and Google Drive persistence, supporting diverse model architectures including inpainting, anime-style, and custom fine-tuned diffusion variants. Bundles the AUTOMATIC1111 WebUI with extension management and PyTorch 2.0 optimization for notebook-based inference without local hardware requirements.
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