|
|
--- |
|
|
license: apache-2.0 |
|
|
language: |
|
|
- en |
|
|
--- |
|
|
|
|
|
<p align="center" width="100%"> |
|
|
<img width="35%" src="Assets/Diffuse-Logo-512.png"> |
|
|
</p> |
|
|
|
|
|
`Diffuse` is a Windows desktop UI for `Huggingface Diffusers`. It integrates directly with Python using the Python C API via `CSnakes`, enabling high-performance interop between .NET and Python for running diffusion models. |
|
|
|
|
|
|
|
|
[](https://github.com/TensorStack-AI/Diffuse/releases) |
|
|
[](https://github.com/TensorStack-AI/Diffuse/releases) |
|
|
[](https://github.com/TensorStack-AI/Diffuse/commits/master/) |
|
|
[](https://discord.gg/ptgMMv36Xu) |
|
|
--- |
|
|
|
|
|
[Project Github](https://github.com/TensorStack-AI/Diffuse) | [Download Latest Release](https://github.com/TensorStack-AI/Diffuse/releases) | [Discord](https://discord.gg/ptgMMv36Xu) |
|
|
|
|
|
|
|
|
## Features |
|
|
- Automatic installation of isolated portable Python |
|
|
- Device-specific Python virtual environments |
|
|
- Automatic model downloads from Huggingface repositories |
|
|
|
|
|
--- |
|
|
|
|
|
## Supported Pipelines |
|
|
- **Z-Image:** ZImagePipeline, ZImageImg2ImgPipeline |
|
|
- **Qwen Image:** QwenImagePipeline, QwenImageImg2ImgPipeline, QwenImageEditPlusPipeline |
|
|
- **FLUX.1:** FluxPipeline, FluxImg2ImgPipeline, FluxKontextPipeline, FluxControlNetPipeline |
|
|
- **FLUX.2:** Flux2Pipeline |
|
|
- **Chroma:** ChromaPipeline, ChromaImg2ImgPipeline |
|
|
- **LTX-Video:** LTXPipeline, LTXImageToVideoPipeline |
|
|
- **Wan Video:** WanPipeline, WanImageToVideoPipeline |
|
|
- **CogVideoX:** CogVideoXPipeline, CogVideoXImageToVideoPipeline, CogVideoXVideoToVideoPipeline |
|
|
- **Kandinsky5:** Kandinsky5T2IPipeline, Kandinsky5I2IPipeline, Kandinsky5T2VPipeline, Kandinsky5I2VPipeline |
|
|
- **StableDiffusionXL:** StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline, StableDiffusionXLControlNetPipeline, StableDiffusionXLControlNetImg2ImgPipeline |
|
|
|
|
|
--- |
|
|
|
|
|
## Installation |
|
|
|
|
|
1. Download and extract **Diffuse.zip** |
|
|
*A fast SSD with plenty of free space is recommended, as model downloads can be large.* |
|
|
|
|
|
2. Run **Diffuse.exe** |
|
|
|
|
|
3. Load a model |
|
|
Diffuse will automatically: |
|
|
- Install an isolated portable Python runtime |
|
|
- Create the required virtual environment |
|
|
- Download the selected model from Hugging Face |
|
|
|
|
|
### First-run notice |
|
|
On first launch or when loading a model for the first time, setup may take several minutes while Python, dependencies, and model files are downloaded and initialized. This is expected behavior. |
|
|
|
|
|
No manual Python setup is required. |
|
|
|
|
|
|
|
|
--- |
|
|
|
|
|
## Project Roadmap |
|
|
|
|
|
### Alpha |
|
|
Proof of concept, Focus on core functionality. |
|
|
- Portable Python installation and management |
|
|
- Device-specific virtual environments |
|
|
- Minimal but functional Windows UI |
|
|
- Basic Diffusers pipeline support |
|
|
|
|
|
### Beta |
|
|
Focus on usability, stability, and feature expansion. |
|
|
- Fully isolated Python execution |
|
|
- Installer and deployment tooling |
|
|
- Advanced UI and workflow options |
|
|
- Upscaling and interpolation support |
|
|
- Extractor pipeline support |
|
|
- Stability, performance, and reliability improvements |
|
|
|
|
|
--- |
|
|
|
|
|
## Screenshots |
|
|
|
|
|
### TextToImage |
|
|
<p align="center" width="100%"> |
|
|
<img src="Assets/Screenshots/TextToImage.png"> |
|
|
</p> |
|
|
|
|
|
### ImageToImage |
|
|
<p align="center" width="100%"> |
|
|
<img src="Assets/Screenshots/ImageToImage.png"> |
|
|
</p> |
|
|
|
|
|
### ImageEdit |
|
|
<p align="center" width="100%"> |
|
|
<img src="Assets/Screenshots/ImgeEdit.png"> |
|
|
</p> |
|
|
|
|
|
### ImageEdit-Multi |
|
|
<p align="center" width="100%"> |
|
|
<img src="Assets/Screenshots/ImgeEdit-Multi.png"> |
|
|
</p> |
|
|
|
|
|
### TextToVideo |
|
|
<p align="center" width="100%"> |
|
|
<img src="Assets/Screenshots/TextToVideo.png"> |
|
|
</p> |
|
|
|
|
|
### ImageToVideo |
|
|
<p align="center" width="100%"> |
|
|
<img src="Assets/Screenshots/ImageToVideo.png"> |
|
|
</p> |
