Releases: TensorStack-AI/Diffuse
v0.3.7 - Gallery & Preview
Gallery & Preview
Added image/video gallery and preview popup
Features
- Gallery & Preview
- Improved pipeline loading
- Prompt caching
- Other bug-fixes
Full Changelog: v0.3.6...v0.3.7
Installation
1. Installer Version
- Download and run Diffuse_v0.3.7.exe
- Follow the on-screen instructions
2. Portable Version
-
Download and extract Diffuse_v0.3.7.zip
A fast SSD with plenty of free space is recommended, as model downloads can be large. -
Run Diffuse.exe
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 and ROCM based devices
Important
This version will overwrite your current Settings.json, if you have added environments or models you may want to backup this file first
v0.3.6 - Upscale & Interpolation Views
Upscale & Interpolation Views
Support for image & video upscaling, interpolation and feature extraction
Features
- Upscale & Interpolation Views
- Existing Huggingface cache detection
- Diffuse installer (optional)
- Stability and other bug-fixes
- End of
Alphastage
Installation
1. Installer Version
- Download and run Diffuse_v0.3.6.exe
- Follow the on-screen instructions
2. Portable Version
-
Download and extract Diffuse_v0.3.6.zip
A fast SSD with plenty of free space is recommended, as model downloads can be large. -
Run Diffuse.exe
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 and ROCM based devices
v0.3.5 - Environment Manager
Environment Manager
Support for multiple python virtual environments, Vendor, Device and Pipeline based environments
Features
- Isolated python process
- Custom Python virtual environments
- Environment variable support
Installation
-
Download and extract Diffuse_v0.3.5.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.
Device Support
Supports CUDA and ROCM based devices
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.
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
-
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. -
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.
Device Support
Supports CUDA based devices with support for ROCM based devices in active development
