The API must be enabled at launch, and its wiki guide says the guide may be out of date.
Automation developers should check the running instance’s /docs endpoint and test their integration against the installed version.
Evidence source ↗
Automatic1111
An open-source, self-hosted browser interface for Stable Diffusion image generation, editing, and model workflows.
6 key claims verifiedOur editorial team checked this profile against vendor documentation, product documentation. Supported by 4 documented sources.
Editorial overview
Aggregated Overview
The project documents a broad image-generation and editing toolset, local installation, and an API. No verifiable third-party rating or review-count evidence was found. Setup, hardware, and community support can vary by user environment.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Automatic1111 is an open-source browser interface for running Stable Diffusion locally or in a user-managed environment. It offers text-to-image and image-to-image generation, plus editing features such as inpainting and outpainting.
Its settings expose model checkpoints, samplers, and image-processing options. Users can enable an API for custom integrations, but must manage installation, compute, and updates themselves.
Automatic1111 Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
Creators and technical users who want local Stable Diffusion generation, prompt and image editing controls, and optional API-driven workflows.
Look elsewhere if
Teams seeking a managed hosted service, vendor-provided support, or a low-setup creative editor may prefer another product; this project is installed and run by the user, and should evaluate alternatives such as ComfyUI or InvokeAI instead.
Platforms
Linux, macOS, Self-hosted, Web, Windows
TechZella assessment
6.5/10
Automatic1111 — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- Combines text-to-image, image-to-image, masking, inpainting, and outpainting in a browser interface that users host themselves.
- Offers a documented API mode and an extension mechanism for users who want to connect generation to custom scripts or workflows.
- Exposes detailed generation settings, samplers, model checkpoints, and image-upscaling options through the interface.
Automatic1111 Pros & Cons
Pros
- Combines image generation and editing controls in one browser interface.
- Can be run in a user-managed environment rather than requiring an official hosted account.
- Provides an optional API for scripted generation workflows.
Cons
- Users must install, configure, and maintain the software and computing environment.
- The projectu2019s API wiki notes that its guide may be outdated.
- The project does not list official paid support or a managed hosted plan.
Automatic1111 Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
The Windows setup guide specifies Python and Git prerequisites.
Installation requires local setup rather than account creation in a hosted product.
Evidence source ↗The project lists AGPL-3.0 for the web UI, while it also credits third-party code and models.
Users should review the applicable licenses for the software, model weights, and dependencies they choose.
Evidence source ↗Automatic1111 Pricing & Plans
Open source
$0
one-time
The project lists AGPL-3.0 software and no paid application plan. Local compute, hosting, and model terms are separate.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Automatic1111 Competitors & Alternatives
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
At a glance
Generative AI| Decision factor | Automatic1111 | ComfyUI | InvokeAI |
|---|---|---|---|
| Primary workflow | Browser interface with direct text-to-image and image-to-image controls. | Node-graph interface for composing model and operation workflows. Source ↗ | Creative image-generation application centered on a layer-based canvas and node-based workflows. Source ↗ |
| Image editing and workflow model | Includes mask-based inpainting, outpainting, and image-upscaling controls. | Uses composable nodes and workflows to customize generation and processing steps. Source ↗ | Offers layer-based canvas editing alongside workflows, batch generation, and upscaling. Source ↗ |
| Pricing model | Open-source application for local installation; no official paid plan is listed. | Open-source application with local installation; separate cloud offerings are also documented. Source ↗ | Described by its documentation as free and open-source, self-hosted software. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Direct competitors
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Automatic1111.
Automatic1111 Features
Image generation
- Text-to-image
- Image-to-image
- Sampler selection
- Model checkpoint selection
Image editing
- Mask-based inpainting
- Outpainting
- High-resolution fix
- Image upscaling
Extensibility
- Optional API mode
- Extensions and custom scripts
Demo & Screenshots
Automatic1111 Specifications
| License | AGPL-3.0 |
|---|---|
| Deployment | Self-hosted; container and online-service paths are also documented |
| Interface | Browser-based Gradio interface |
| API | Optional API mode; launch with --api |
| Latest listed release | 1.10.1 |
| Free trial | No separate trial listed; open-source software is installable |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Installation or hosting | Users install and run the web UI locally. The project wiki also lists container and online-service setup paths. Source ↗ |
|---|---|
| Supported desktop environments | The repository documents Windows, Linux, and Apple Silicon installation paths. Source ↗ |
Our evidence-based assessment
TechZella Score
A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
6.5/10Moderate confidence
The project documents a broad image-generation and editing toolset, local installation, and an API. No verifiable third-party rating or review-count evidence was found. Setup, hardware, and community support can vary by user environment.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 4 documented sources.
What TechZella adds
- Combines text-to-image, image-to-image, masking, inpainting, and outpainting in a browser interface that users host themselves.
- Offers a documented API mode and an extension mechanism for users who want to connect generation to custom scripts or workflows.
- Exposes detailed generation settings, samplers, model checkpoints, and image-upscaling options through the interface.
Important limitations
- Users install and maintain the application and its dependencies; the repository’s Windows setup instructions call for Python and Git.
- The API wiki warns that its guide is not maintained and may be out of date; it points users to the running instance’s /docs endpoint.
- The project does not list a vendor-operated hosted plan, managed onboarding, or a paid support offering.
Evidence-backed claimsAutomatic1111 is a browser-based interface for Stable Diffusion. The interface supports text-to-image, image-to-image, inpainting, and outpainting workflows. An API mode is available when enabled at launch. The project’s latest listed release is 1.10.1. The project repository lists AGPL-3.0 as its license. Windows installation instructions require Python and Git prerequisites.
The project wiki describes the web UI as a browser interface based on Gradio.
View source ↗Verified 2026-11-12The repository feature list and wiki document these generation and editing features.
View source ↗Verified 2026-11-12The command-line documentation lists the --api flag and an API-only launch option.
View source ↗Verified 2026-11-12The project’s GitHub releases page marks version 1.10.1 as the latest release.
View source ↗Verified 2026-11-12The repository identifies the AGPL-3.0 license.
View source ↗Verified 2026-11-12The project README lists Python and Git installation steps before running the web UI.
View source ↗Verified 2026-11-12Automatic1111 FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Is Automatic1111 free?
Yes. The project is open-source software under AGPL-3.0 and lists no paid application plan. Users supply their own compute and should check the terms for the models they use.
Does Automatic1111 have an API?
Yes. The project documents an API mode enabled with a launch option. Its wiki advises checking the live instance’s /docs endpoint because the guide may be out of date.
Which operating systems does Automatic1111 support?
The project documents installation paths for Windows, Linux, and Apple Silicon.
Can Automatic1111 edit existing images?
Yes. The documented interface includes image-to-image processing, masking and inpainting, and outpainting.
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