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SDUnity – A Modern, Streamlined Web UI for Stable Diffusion (Work in Progress)

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AsaTyr

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Jun 30, 2025

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SDUnity – A Modern, Streamlined Web UI for Stable Diffusion (Work in Progress)

After the overwhelming feedback I received for my second project, MyLoRA, I figured it’s time to let you all in on the next experiment: SDUnity.

Let’s face it – many current T2I/I2I frameworks are stuck in the past. A1111, Fooocus, ComfyUI, even Forge... all still run on outdated components like Gradio 3, Python 3.10, or legacy Torch versions. Some are slowing down development or have even gone dormant. So I decided: Let’s build something from scratch. Modern. Clean. Focused.

The result?
SDUnity – a work-in-progress, but already functional self-hosted interface for Stable Diffusion that puts everything in one place: generation, model management, tagging, gallery, Civitai browsing, and more. Built with Gradio 5 and up-to-date libraries across the board.

💡 Looking for collaborators! If you’re interested in improving SDUnity, building features or refining the UI/UX – feel free to reach out. Contributors welcome!

🧠 Why SDUnity?

The goal of SDUnity is to streamline the chaotic AI art ecosystem. It’s a single tool where you can:

  • Prompt & generate images,

  • Manage models and LoRAs,

  • Auto-tag content,

  • Browse and import from Civitai,

  • Organize everything with a built-in gallery.

It’s fast, focused, and designed with modern workflows in mind. Just enough features to be powerful, without getting bloated.

🚀 Features at a Glance

🎨 Generator

  • Full prompt and negative prompt control

  • Seed management (fixed/random)

  • Sampler selection, CFG, steps, width/height

  • Clip skip toggle, precision mode, tiling

  • Parallel generation & batch repetition

  • Smooth step streaming preview (WIP)

  • High-res fix & denoise strength

  • LoRA weight sliders

  • Wildcard support via __name__ tokens (wildcards/)

  • GPT‑2 based Prompt Enhancer (adds quality/detail/preset tags) (WIP)

  • NSFW filter toggle

📦 Model Manager & Civitai Browser (🔥 API-Powered)

Managing your models has never felt this smooth. The Model Manager in SDUnity lets you:

  • Browse all local models under models/ and LoRAs under loras/

  • Move, categorize, or delete files

  • Load/unload pipelines from VRAM

But the real game-changer?
Full Civitai API integration.

You can:

  • Search directly from within the UI (SD 1.5, SDXL, Pony tags included)

  • View model versions, metadata, and previews

  • Download models and LoRAs with a single click

  • Or fetch them via terminal using the CLI tool

  • All without ever leaving SDUnity

This feature is one of the smoothest parts of the system and something I'm personally very proud of. It just works.

  • Browse saved generations from generations/

  • Full metadata viewer (prompt, seed, LoRA, model, etc.)

  • Delete unwanted images directly from the UI

✨ Prompt Tag Suggestions

  • Inline autocomplete using fuzzy search (rapidfuzz)

  • Type in the prompt field and press Tab to complete

  • Powered by a local dataset (rebuilt via maintainer script)

  • Based on a1111-sd-webui-tagcomplete, rebuilt with scripts/import_tagcomplete.py

🏷️ Image Tagger

  • Tag anime-style images automatically using WD14

  • Fully local – no web request or upload needed

  • Tags saved into metadata for reuse, filtering or searching

🧰 Setup (Linux – Windows may work)

git clone https://github.com/AsaTyr2018/SDUnity.git
cd SDUnity
sudo ./maintainer.sh install

Start the interface:

/opt/SDUnity/start.sh

Default web UI: http://localhost:7860
All configs can be adjusted via the Settings tab or in sdunity/config.py.

⚠️ Windows Support: The core components are cross-platform, and SDUnity should work on Windows (e.g. via WSL or native Python installs). However, it has not been fully tested yet. Community testers are welcome!

🛠 Maintainer Script

Use maintainer.sh for everything:

sudo ./maintainer.sh install    # First setup  
sudo ./maintainer.sh update     # Pull new changes  
sudo ./maintainer.sh uninstall  # Remove everything

It handles the venv, dependencies, and updates cleanly. You only need git and python3.

📌 Notes

  • Prompt presets live in presets.txt

⚠️ Status: Active Development

Let’s be real: SDUnity is still in early development. Some features are WIP, some polish is missing – but the core is already rock solid and fun to use. If you’re tired of legacy UIs or want something fresh that keeps pace with the AI ecosystem... SDUnity might be what you’ve been looking for.

Check out the repo here:
👉 github.com/AsaTyr2018/SDUnity

Feedback, testers, feature ideas – and especially contributors – are always welcome.
This is just the beginning.

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