SDImageGenerator(SDIG) is a text-to-image generation AI desktop app for Windows/Linux. It is still actively under development. The Linux version of the app is coming soon.
| SDImageGenerator v2 | SDIG output sample |
|---|---|
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- Works on CPU/GPU but CPU image generation is slow(Recommended to use GPU for faster image generation)
- The stable diffusion 1.5 model is used as default
- Added model switching (For advanced use)
- Supports dreambooth models (checkpoint files (.ckpt) supported)
- Added textual inversion support(Hugging Face's concepts library models supported)
- Added VAE(Variational autoencoder) support for fine details
- Added CodeFormer support
- Updated full precision mode with float32
- Added high-resolution duplication fix setting
- Image-to-image now supports k-diffusion samplers
- Added Image-to-image mask image support
- Added cancel functionality
- Negative prompt support, use [ ] to use negative prompt
E.g:
a cute [white] dog - Added Attention control support in prompt :
Use "+" to increase attention -
a house, apple++ treeUse "-" to decrease attention -a house, apple- tree - Supports prompt-to-Prompt editing (Cross attention control)
E.g: In the below prompt cat will be replaced with a dog
A cat.swap(dog) riding bicycle - Supports prompt blending
E.g:
car:0.30 boat:0.70 hybrid
For older changelogs, please visit changelog.
- Simple interface
- Portable package, simply extract and run the app
- Image viewer for generated images
- Application logs
- Configurable image generation settings
- Windows 10/11 64-bit
- Recent Nvidia GPU, preferably RTX ( 4 GB or more VRAM memory)
- 12 GB RAM (16+ recommended)
- ~11 GB disk space after installation (on SSD for best performance)
- Qt 5.15.2
If you want to contribute please follow the coding style