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SD Chat - AI Creation Platform ​

An AI creation platform based on Stable Diffusion, supporting both image and video generation. This project integrates multiple advanced AI models and provides a user-friendly web interface for creating AI-generated content.

Demo ​

text-to-image

Roadmap ​

Completed Features ✅ ​

1. Text-to-Image ​

  • Stable Diffusion XL Base 1.0
  • Stable Diffusion 1.5
  • Realistic Vision V5.1
  • Dreamshaper V8
  • Custom prompt support
  • Parameter adjustment
  • Negative prompt support

2. Text-to-Video ​

  • Stable Video Diffusion
  • Custom prompt support
  • Video parameter adjustment
  • Negative prompt support

3. Image-to-Video ​

  • Stable Video Diffusion
  • Custom initial image support
  • Video parameter adjustment
  • Motion intensity control

Under Development 🚧 ​

4. Image Editing ​

  • ControlNet support
  • Image inpainting
  • Image outpainting
  • Prompt-based editing

5. Video Editing ​

  • Video restoration
  • Video style transfer
  • Frame interpolation
  • Video upscaling

Features ​

1. Image Generation ​

  • Multiple high-quality models:
    • Stable Diffusion XL
    • Stable Diffusion 1.5
    • Realistic Vision
    • Dreamshaper
  • Custom generation parameters
  • High-quality output
  • Batch generation support

2. Video Generation ​

  • Based on Stable Video Diffusion
  • Image-to-video conversion
  • Text-to-video generation
  • Adjustable video parameters

3. Interface Features ​

  • Intuitive web interface
  • Real-time preview
  • Parameter control
  • Example prompts

Quick Start ​

Requirements ​

  • MacOS (Apple Silicon)
  • Python 3.10+
  • 32GB RAM (recommended)
  • Disk space: 20GB minimum (for model storage)

Installation ​

  1. Install Conda (skip if already installed):
bash
# Download Miniforge3 (for Apple Silicon)
curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh"
bash Miniforge3-MacOSX-arm64.sh
  1. Create and activate environment:
bash
# Create Python 3.10 environment
conda create -n diffusers python=3.10
conda activate diffusers
  1. Install PyTorch (with MPS acceleration):
bash
# Install PyTorch with MPS support
conda install pytorch torchvision torchaudio -c pytorch-nightly
  1. Clone the project:
bash
git clone https://github.com/samzong/sd-chat.git
cd sd-chat
  1. Install dependencies:
bash
pip install -r requirements.txt

First Run ​

  1. Start the service:
bash
python run.py

Initial run will automatically download required models, which may take some time depending on your network connection.

  1. Access the interface: Open http://localhost:7860 in your browser

Project Structure ​

sd-chat/
├── run.py          # Unified startup script (recommended)
├── api.py          # Image generation service
├── video_api.py    # Video generation service
├── web_ui.py       # Web interface
└── requirements.txt # Project dependencies

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