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.
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
Wan Video
- WanPipeline
- WanImageToVideoPipeline
StableDiffusionXL
- StableDiffusionXLPipeline
- StableDiffusionXLImg2ImgPipeline
- StableDiffusionXLControlNetPipeline
- StableDiffusionXLControlNetImg2ImgPipeline
Installation
Download and extract Diffuse.zip
A fast SSD with plenty of free space is recommended, as model downloads can be large.Run Diffuse.exe
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
ImageToImage
ImageEdit
ImageEdit-Multi
TextToVideo
ImageToVideo