Automatic1111
Long-running web UI for Stable Diffusion, the original community-favourite local image-gen interface.
Automatic1111 is a long-running web UI for Stable Diffusion, the original community-favourite local image-gen interface. It is free and open-source released under the MIT license.
About Automatic1111
Automatic1111 is a long-running web UI for running Stable Diffusion image generation locally.
It is free and open-source under the MIT license, runs entirely on your own machine so prompts and generated images are not sent to external servers, and has a large extension ecosystem adding features like ControlNet, LoRA training, and extra samplers. It supports multiple Stable Diffusion versions including SD 1.5, SD 2.x, and SDXL.
It suits people who want local, private image generation and can meet its requirements: a capable NVIDIA GPU with enough VRAM, plus a Python and Git install that can be a hurdle for non-technical users. It is not for you if you need model families beyond Stable Diffusion, since it focuses on Stable Diffusion only.
Among AI image-generation tools, it is the self-hosted, extensible option rather than a hosted service you sign into.
Sources: github.com, this listing
What it does well
- It is free and open-source released under the MIT license.
- It runs entirely locally, so user prompts and generated images are not sent to external servers.
- It has a large extension ecosystem that adds features such as ControlNet, LoRA training, and additional samplers.
- It supports multiple Stable Diffusion model versions including SD 1.5, SD 2.x, and SDXL.
Where it falls short
- Initial setup requires installing Python and Git, which can be challenging for non-technical users.
- It is focused exclusively on Stable Diffusion models and does not natively support other model families.
- It requires a capable NVIDIA GPU with sufficient VRAM for reasonable generation performance.
Tagged
- Self-hostable
- Supports Local Models
- Web-based
- Free
- Open Source
Compared with similar things
Picked by shared tags inside the AI Image Generation.
- 01Free →DeepSeek Chat
DeepSeek's web chat for DeepSeek-V3 and reasoning models, with open-weights releases.
- 02Free →Open WebUI
Self-hostable web UI for Ollama and OpenAI-compatible endpoints — feels like ChatGPT, runs on your own server.
- 03Freemium →Invoke
Open-source Stable Diffusion suite with a professional canvas, ControlNet pipeline, and team features.
- 04Freemium →n8n
Open-source workflow automation with native LLM nodes — self-host on your own infrastructure.
- 05Freemium →Firecrawl
API that crawls any website and returns clean LLM-ready markdown, including JavaScript-rendered pages.
- 06Freemium →Appsmith
Open-source low-code platform for internal apps, self-hostable and SOC2-certified.
Related reading
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Read guide → - How to Launch Your AI App on Product Hunt
Launch on Product Hunt by preparing for a few weeks: build genuine account activity, line up your assets and a supporter list, and ship at 12:01 AM Pacific (the daily reset) on a weekday. Reply to every comment all day, never ask for upvotes (say 'check it out'), and keep working the week after — that's where most of the lasting value is.
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To get cited by ChatGPT and Perplexity, be the clearest answer in several places at once. Publish answer-first pages with extractable facts, get listed on directories and review sites the engines crawl, and build consistent mentions across Reddit, YouTube, and your own site. Perplexity tends to favour recent content; ChatGPT appears to weight agreement across sources.
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</a>Frequently asked questions
- What is Automatic1111?
- Automatic1111 is a long-running web UI for Stable Diffusion, the original community-favourite local image-gen interface.
- Is Automatic1111 free?
- Automatic1111 is free to use. There is no paid tier as of the last index update.
- What platforms does Automatic1111 support?
- Automatic1111 runs on mac, win, linux.
- What category does Automatic1111 belong to?
- Automatic1111 is in the AI Image Generation category — Text-to-image, image-to-image, inpainting, character LoRAs, and AI-enhanced editing tools.
- What are the downsides of Automatic1111?
- Initial setup requires installing Python and Git, which can be challenging for non-technical users. It is focused exclusively on Stable Diffusion models and does not natively support other model families. It requires a capable NVIDIA GPU with sufficient VRAM for reasonable generation performance.