# automatic1111/stable-diffusion-webui

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163,743 stars · 30,370 forks · Python · AGPL-3.0

## Links

- GitHub: https://github.com/AUTOMATIC1111/stable-diffusion-webui
- awesome-repositories: https://awesome-repositories.com/repository/automatic1111-stable-diffusion-webui.md

## Topics

`ai` `ai-art` `deep-learning` `diffusion` `gradio` `image-generation` `image2image` `img2img` `pytorch` `stable-diffusion` `text2image` `torch` `txt2img` `unstable` `upscaling` `web`

## Description

Stable Diffusion Web UI is a browser-based interface designed for managing text-to-image generation tasks. It provides a centralized dashboard for controlling generative processes, including native support for multi-stage model architectures to facilitate high-quality image refinement.

The platform distinguishes itself through granular control over the generation process, offering tools for precise parameter management and advanced prompt engineering. Users can customize generation styles and capabilities by integrating external model-extension formats, such as textual inversions, low-rank adaptations, and hypernetworks. A built-in scripting framework further enables the automation of complex workflows, parameter sequencing, and blending techniques.

Beyond core generation, the application includes utilities for image editing and quality enhancement, such as inpainting, outpainting, face restoration, and model merging. The project provides extensive documentation for deployment across various local, cloud, and containerized environments, with specific setup instructions for multiple hardware configurations and operating systems.

## Tags

### Artificial Intelligence & ML

- [Generative AI Dashboards](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generation-utilities/generative-ai-dashboards.md) — Centralizes image generation, model management, and configuration tasks within a unified browser-based dashboard. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
- [Generative Media Models](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/architectures/generative-media-models.md) — Powers the execution and management of complex generative media workflows through a graphical interface. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
- [Generation Parameter Management](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/decoding-generation-controls/generation-controls/generation-parameter-management.md) — Enables precise control over sampling methods, seed values, and output resolution for fine-tuned image synthesis. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
- [Model Extension Modules](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generation-utilities/model-extension-modules.md) — Integrates support for modular extensions like LoRA, Textual Inversion, and Hypernetworks to customize output styles. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
- [Prompt Engineering Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-engineering-tools.md) — Facilitates advanced prompt refinement through features like prompt matrices, attention weighting, and extended input support. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
- [GPU Acceleration Configurations](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-optimization-and-inference/hardware-and-acceleration/hardware-acceleration/gpu-acceleration-configurations.md) — Configures hardware-specific settings to leverage NVIDIA graphics processing units for accelerated computation. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs))

### Part of an Awesome List

- [AI & Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/ai-machine-learning.md) — Browser-based interface for generating images with Stable Diffusion.
- [Chat Interfaces](https://awesome-repositories.com/f/awesome-lists/ai/chat-interfaces.md) — Comprehensive web interface for Stable Diffusion image generation.
- [Generative Media Tools](https://awesome-repositories.com/f/awesome-lists/ai/generative-media-tools.md) — Web interface for Stable Diffusion.
- [Machine Learning Tools](https://awesome-repositories.com/f/awesome-lists/ai/machine-learning-tools.md) — Web interface for running and managing stable diffusion models.
- [Model Serving and Inference](https://awesome-repositories.com/f/awesome-lists/ai/model-serving-and-inference.md) — Web interface for running Stable Diffusion models.
- [Stable Diffusion Ecosystem](https://awesome-repositories.com/f/awesome-lists/ai/stable-diffusion-ecosystem.md) — Expanded web interface for model interaction.

### DevOps & Infrastructure

- [Generative Workflow Automation](https://awesome-repositories.com/f/devops-infrastructure/automation-orchestration/task-execution-frameworks/automation-frameworks/ai-agent-control/generative-workflow-automation.md) — Automates complex generation sequences and batch processing through a built-in scripting framework. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts))

### Graphics & Multimedia

- [Generative Image Enhancements](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/generative-visual-engines/generative-image-enhancements.md) — Enhances visual output quality using integrated tools for facial restoration and multi-model blending. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
- [Inpainting and Outpainting Tools](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/generative-visual-engines/inpainting-and-outpainting-tools.md) — Supports precise image modification through masked content control, specialized masking modes, and color sketching. ([source](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features))
