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DreamLayer AI

The Cleanest, Fastest Stable Diffusion WebUI.
Built for AI artists, researchers, developers, and prompt engineers. Fully open source, and no hosting required.

⭐ Star to Get Early-Supporter Perks ⭐

 DreamLayer AI - Documentation

DreamLayer-UI


What is DreamLayer AI?

DreamLayer AI is an open-source Stable Diffusion WebUI that keeps the familiar Automatic1111 ⁄ Forge layout you know, replaces the clutter with a modern design system, and runs every generation step on ComfyUI in the background.
No node graph on screen, no server rental, just a lightning-fast local interface for:

  • AI artists producing portfolio-ready images
  • Developers and prompt engineers iterating on prompts and LoRAs
  • Researchers benchmarking new models and samplers

Status:Now live: Open Alpha • Beta V1 ships: Mid-July 2025

⭐ Star the repo for updates & to get early-supporter perks


Quick Start

⭐️ Run with Cursor (Smooth Setup with a Few Clicks)

Easiest way to run DreamLayer 😃 Best for non-technical users

  1. Download this repo
  2. Open the folder in Cursor (an AI-native code editor)
  3. Type run it or press the "Run" button — then follow the guided steps

Cursor will:

  • Walk you through each setup step
  • Install Python and Node dependencies
  • Create a virtual environment
  • Start the backend and frontend
  • Output a localhost:8080 link you can open in your browser

⏱️ Takes about 5-10 minutes. No terminal needed. Just click, run, and you’re in. 🚀

On macOS, PyTorch setup may take a few retries. Just keep pressing Run when prompted. Cursor will guide you through it.

Installation

linux:

./install_linux_dependencies.sh

macOS:

./install_mac_dependencies.sh

Windows:

install_windows_dependencies.ps1

Start Application

linux:

./start_dream_layer.sh

macOS:

./start_dream_layer.sh

Windows:

start_dream_layer.bat

Env Variables

install_dependencies_linux DLVENV_PATH // preferred path to python virtual env. default is /tmp/dlvenv

start_dream_layer DREAMLAYER_COMFYUI_CPU_MODE // if no nvidia drivers available run using CPU only. default is false

Access

Installing Models ⭐️

DreamLayer ships without weights to keep the download small. You have two ways to add models:

a) Closed-source API models

DreamLayer can also call external APIs (OpenAI DALL·E, Flux, Ideogram).

To enable them:

Edit your .env file at dream_layer/.env:

OPENAI_API_KEY=sk-...
BFL_API_KEY=flux-...
IDEOGRAM_API_KEY=id-...

Once a key is present, the model becomes visible in the dropdown. No key = feature stays hidden.

b) Open-source checkpoints (offline)

Step 1: Download .safetensors or .ckpt files from:

  • Hugging Face
  • Civitai
  • Your own training runs

Step 2: Place the models in the appropriate folders (auto-created on first run):

  • Checkpoints/ → # full checkpoints (.safetensors)
  • Lora/ → # LoRA & LoCon files
  • ControlNet/ → # ControlNet models
  • VAE/ → # optional VAEs

Step 3: Click Settings ▸ Refresh Model List in the UI — the models appear in dropdowns.

Tip: Use symbolic links if your checkpoints live on another drive.

The installation scripts will automatically install all dependencies and set up the environment.


Why DreamLayer AI?

🔍 Feature 🚀 How it’s better
Familiar Layout If you’ve used A1111 or Forge, you’ll feel at home in sec. Zero learning curve
Modern UX Responsive design with light & dark themes and a clutter-free interface that lets you work faster
ComfyUI Engine Inside All generation runs on a proven, modular, stable ComfyUI backend. Ready for custom nodes and advanced hacks
Closed-Source Model Support One-click swap to GPT-4o Image, Ideogram V3, Runway Gen-4, Recraft V3, and more
Local first Runs entirely on your GPU with no hosting fees, full privacy, and instant acceleration out of the box

Requirements

  • Python 3.8+
  • Node.js 16+
  • 8GB+ RAM recommended

⭐ Why Star This Repo Now?

Starring helps us trend on GitHub which brings more contributors and faster features.
Early stargazers get perks:

  • GitHub Hall of Fame: Your handle listed forever in the README under Founding Supporter
  • Early Builds: Download private binaries before everyone else
  • Community first hiring: We prioritize contributors and stargazers for all freelance, full-time, and AI artist or engineering roles.
  • Closed Beta Invites: Give feedback that shapes 1.0
  • Discord badge: Exclusive Founding Supporter role

Hit the star button right now and join us at the ground floor ☺️


Get Involved Today

  1. Star this repository.
  2. Watch releases for the July code drop.
  3. Join the Discord (link coming soon) and say hi.
  4. Open issues for ideas or feedback & Submit PRs once the code is live
  5. Share the screenshot on X ⁄ Twitter with #DreamLayerAI to spread the word.

All contributions code, docs, art, tutorials—are welcome!

Contributing

  • Create a PR and follow the evidence requirements in the template.
  • See CHANGELOG Guidelines for detailed contribution process.

📚 Documentation

Full docs will ship with the first code release.

DreamLayer AI - Documentation


License

DreamLayer AI will ship under the GPL-3.0 license when the code is released.
All trademarks and closed-source models referenced belong to their respective owners.


### Made with ❤️ by builders, for builders • See you in July 2025!

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The Most intuitive Stable Diffusion WebUI for AI artists, developers & researchers

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