
DiffusionBee
The easiest way to run Stable Diffusion locally on macOS with zero configuration.

Optimized cloud-based image generation and model training via Google Colab with persistent storage.

Fast Stable Diffusion, primarily maintained by TheLastBen, is a high-performance distribution of the Stable Diffusion web UI (AUTOMATIC1111/ComfyUI) specifically architected for Google Colab environments. In the 2026 landscape, it remains a critical infrastructure piece for researchers and independent creators who require the power of NVIDIA A100 or L4 GPUs without the overhead of local hardware maintenance. The technical architecture leverages custom-built shell scripts to bypass the standard, slower installation processes of Stable Diffusion, typically reducing boot times from 15 minutes to under 4 minutes. It features a deep integration with Google Drive, allowing for persistent storage of models (CKPT/Safetensors), outputs, and fine-tuned weights (LoRAs). By utilizing Gradio or NGROK tunneling, it provides a secure, web-accessible interface for complex generative tasks. As localized compute costs rise, this Colab-optimized version provides a flexible, 'pay-as-you-go' alternative to managed SaaS platforms, offering unrestricted access to NSFW-filtered content (where allowed by Google's TOS) and full control over the underlying Python environment and Xformers optimizations.
Fast Stable Diffusion, primarily maintained by TheLastBen, is a high-performance distribution of the Stable Diffusion web UI (AUTOMATIC1111/ComfyUI) specifically architected for Google Colab environments.
Explore all tools that specialize in upscale image resolution. This domain focus ensures Fast Stable Diffusion (TheLastBen) delivers optimized results for this specific requirement.
Explore all tools that specialize in lora/dreambooth training. This domain focus ensures Fast Stable Diffusion (TheLastBen) delivers optimized results for this specific requirement.
Uses pre-compiled wheels for Xformers and Triton to bypass the 15-minute compilation process.
Symlinks Google Drive directories to the Colab local instance to prevent re-downloading multi-gigabyte models.
Integrated 'Fast Dreambooth' scripts designed for 16GB VRAM limits (T4 GPUs).
Automatic installation of ControlNet extensions and pre-trained models for structural image guidance.
Uses NGROK to bypass Gradio's 72-hour link limit and provide more stable websocket connections.
Accepts direct Civitai or Hugging Face URLs to fetch models directly into the Colab environment.
Forces the use of memory-efficient attention mechanisms to allow larger batch sizes on lower-tier GPUs.
Log in to a Google Account with active Google Drive storage.
Open the 'fast_stable_diffusion_AUTOMATIC1111.ipynb' notebook from GitHub.
Connect to a GPU runtime (T4, L4, or A100 based on Colab tier).
Execute the 'Install Requirements' cell to initialize the environment.
Mount Google Drive to preserve model data and outputs.
Select the desired Stable Diffusion version (1.5, XL, or 3.0) from the dropdown.
Configure optional NGROK authentication for stable remote connections.
Execute the 'Start Stable-Diffusion' cell to generate the public Gradio URL.
Click the generated link to open the WebUI in a new browser tab.
Manage and download generated assets directly from the 'SD' folder in Google Drive.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its speed and Google Drive integration, though users occasionally struggle with Google's changing terms regarding GPU usage for Stable Diffusion."
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The easiest way to run Stable Diffusion locally on macOS with zero configuration.

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