- Supports CUDA devices for accelerated processing.
- txt2img and img2img mode.
- Supports for single LoRA.
- Supports for different scheduler types.
- Extract PNG image info from generated images.
- One click install and run script (but you still must install python and git)
- Utilizes Hugging Face Diffusers and Transformers libraries for AI models.
- Employs the Gradio library for the user interface.
- Users can easily change image models.
- Supports uploading new
.safetensors
models (not directly use). - Provides a conversion mechanism to convert
.safetensors
models into the required Diffusers model format. - Changeable image settings (width, height, number of inference step, guidance scale)
- Supports multiple image generation with batch size
- CUDA-enabled device (if using GPU acceleration).
- Install Python 3.10.6 and install git.
- Download the ImageForge repository, git clone https://github.com/berkayguzel06/ImageForge.git.
- Run start-browser.bat