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YourVision: AI-powered image editor

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Application features

Smart Mask with Segment Everything
Configurable editing tools
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Optimized for desktop and mobile
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Dark theme support
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Gallery with the generated images
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Plugin support
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Some plugins are already available:

Instalation

First, you will need python v3.10.6 and nodejs v18.16.0 with yarn.

  1. Clone the repository with:

     git clone https://github.com/obraia/YourVision.git

  2. Create and active a python development environment with:

     python -m venv venv
 source .venv/bin/activate or .venv/bin/activate (windows)

  3. Install the python dependencies with:

     pip install -r requirements.txt

  4. Install pytorch for your system NVIDIA/AMD GPU or CPU:

    NVIDIA GPU:

     pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117

    AMD GPU (only linux for now)

    Obs: You will need the latest version of ROCm installed on your linux

     pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.4.2

    CPU

     pip install torch torchvision torchaudio --extra-index-url --extra-index-url https://download.pytorch.org/whl/cpu

  5. You will need to convert .ckpt or .safetensors checkpoints to diffusers with the following command:

     python scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path "path/to/checkpoint.ckpt" --original_config_file "api/weights/sd/inferences/<inference>.yaml" --dump_path "api/weights/sd/diffusers/<diffusers-name>/" --device="cuda:0"

  6. Now run the api with:

     python api/app.py

  7. To install the front-end dependencies:

     cd gui/ & yarn install

  8. And start the application:

     yarn start

Features to be implemented in the future

  • Install script
  • Auto conversion of .ckpt and .safetensors models
  • Translation support (Interface and Prompts)
  • Page with application settings
  • Generated images gallery
  • Creation of shortcuts for the interface
  • Support for predefined generation filters
  • Create layer system
  • Plugins support

Credits