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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Stable Diffusion web UI
| Date | Stars |
|---|---|
| 2026-07-31 | 7874 |
| 2026-08-02 | 7874 |
| 2026-08-03 | 7873 |
| 2026-08-06 | 7873 |
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growth rate 0.00%/day
# <center>Web-based UI for Stable Diffusion</center> ## Created by [Sygil.Dev](https://github.com/sygil-dev) ## Join us at Sygil.Dev's Discord Server [](https://discord.gg/ttM8Tm6wge) ## Installation instructions for: - **[Windows](https://sygil-dev.github.io/sygil-webui/docs/Installation/windows-installation)** - **[Linux](https://sygil-dev.github.io/sygil-webui/docs/Installation/linux-installation)** ### Want to ask a question or request a feature? Come to our [Discord Server](https://discord.gg/gyXNe4NySY) or use [Discussions](https://github.com/sygil-dev/sygil-webui/discussions). ## Documentation [Documentation is located here](https://sygil-dev.github.io/sygil-webui/) ## Want to contribute? Check the [Contribution Guide](CONTRIBUTING.md) [Sygil-Dev](https://github.com/Sygil-Dev) main devs: * [ZeroCool940711](https://github.com/ZeroCool940711) * [Kasiya13](https://github.com/Kasiya13) ### Project Features: * Built-in image enhancers and upscalers, including GFPGAN and realESRGAN * Generator Preview: See your image as its being made * Run additional upscaling models on CPU to save VRAM * Textual inversion: [Reaserch Paper](https://textual-inversion.github.io/) * K-Diffusion Samplers: A great collection of samplers to use, including: - `k_euler` - `k_lms` - `k_euler_a` - `k_dpm_2` - `k_dpm_2_a` - `k_heun` - `PLMS` - `DDIM` * Loopback: Automatically feed the last generated sample back into img2img * Prompt Weighting & Negative Prompts: Gain more control over your creations * Selectable GPU usage from Settings tab * Word Seeds: Use words instead of seed numbers * Automated Launcher: Activate conda and run Stable Diffusion with a single command * Lighter on VRAM: 512x512 Text2Image & Image2Image tested working on 4GB (with *optimized* mode enabled in Settings) * Prompt validation: If your prompt is too long, you will get a warning in the text output field * Sequential seeds for batches: If you use a seed of 1000 to generate two batches of two images each, four generated images will have seeds: `1000, 1001, 1002, 1003`. * Prompt matrix: Separate multiple prompts using the `|` character, and the system will produce an image for every combination of them. * [Gradio] Advanced img2img editor with Mask and crop capabilities * [Gradio] Mask painting 🖌️: Powerful tool for re-generating only specific parts of an image you want to change (currently Gradio only) # SD WebUI An easy way to work with Stable Diffusion right from your browser. ## Streamlit  **Features:** - Clean UI with an easy to use design, with support for widescreen displays - *Dynamic live preview* of your generations - Easily customizable defaults, right from the WebUI's Settings tab - An integrated gallery to show the generations for a prompt - *Optimized VRAM* usage for bigger generations or usage on lower end GPUs - *Text to Video:* Generate video clips from text prompts right from the WebUI (WIP) - Image to Text: Use [CLIP Interrogator](https://github.com/pharmapsychotic/clip-interrogator) to interrogate an image and get a prompt that you can use to generate a similar image using Stable Diffusion. - *Concepts Library:* Run custom embeddings others have made via textual inversion. - Textual Inversion training: Train your own embeddings on any photo you want and use it on your prompt. - **Currently in development: [Stable Horde](https://stablehorde.net/) integration; ImgLab, batch inputs, & mask editor from Gradio **Prompt Weights & Negative Prompts:** To give a token (tag recognized by the AI) a specific or increased weight (emphasis), add `:0.
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Alejandro Gil · @Sygil-Dev
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aedh carrick
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Johannes Gäßler · Karlsruhe Institute of Technology · Germany
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Alex Volkov · Weights & Biases · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8c7701fa9ea27e41, desc:stable diffusion