v0.3.2 - Diffuse - Proof Of Concept

Diffuse - Proof Of Concept

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.

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Features

• Automatic installation of isolated portable Python
• Device-specific Python virtual environments
• Automatic model downloads from Huggingface repositories

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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

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Installation

1. Download and extract Diffuse_v0.3.2_CUDA.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.

Device Support

Supports CUDA based devices with support for ROCM based devices in active development