v0.4.8 - Multi-LoRA, Inpaint, Weight Caching, Variants

Multi-LoRA, Inpaint, Weight Caching, Variants

This update focuses on making Diffuse easier to use, more flexible, and faster to work with — especially when experimenting with models, LoRAs, and larger images.

What’s New

Inpaint & Outpaint

• Added Inpaint and Outpaint support
• Includes new views and pipeline support

Multi-LoRA Support

• Use multiple LoRAs at the same time
• LoRAs can be added, removed, or changed without restarting the pipeline

Model Variants

• Added support for Hugging Face model variants
• Easily add variants like fp16, bf16, and more

Improved Image Tiling

• Brand-new tiling system
• Faster and more memory-efficient
• Significantly improved image quality, especially at higher resolutions

Pipeline Refresh

• Pipelines (Text-to-Image, Image-to-Image, etc.) can now be changed without unloading model weights
• Reload LoRAs, ControlNets, Upscalers, and Extractors on the fly
• Faster iteration with fewer full reloads

Bug Fixes & Stability Improvements
Various fixes and internal cleanups to improve reliability during model loading and inference.

Full Changelog: v0.4.0...v0.4.8

---

Installation

1. Installer Version

1. Uninstall Diffuse vX.X.X
2. Download and run Diffuse_v0.4.8.exe
3. Follow the on-screen instructions

2. Standalone Version

1. Download and extract Diffuse_v0.4.8.zip
   A fast SSD with plenty of free space is recommended, as model downloads can be large.

2. 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 (Beta Notice)

Diffuse is still in Beta, and during this phase some releases include large internal changes.

For this version, a full uninstall and reinstall is recommended to avoid upgrade issues.
Your downloaded models are not affected and can be kept.

Settings.json will be replaced during installation
If you have added custom environments, paths, or models, please back up your Settings.json file before upgrading.

These upgrade steps are temporary and expected during Beta. The goal is to stabilise updates and avoid full reinstalls for future releases.

v0.4.0 - Memory Modes, Quantization & ROCm 7.2

Memory Modes, Quantization & ROCm 7.2

This release adds memory management and quantization options, giving more control over performance and VRAM usage across different hardware configurations.

---

Features

• INT8 Quantization Support
  Reduce VRAM usage by up to ~30–40% with automatic INT8 quantization during model load. Quantization is applied transparently and requires no manual configuration.

• Memory Modes
  New memory modes simplify how models are distributed across GPU(s) and CPU memory, ranging from maximum performance to minimum VRAM usage. This makes Diffuse more accessible on low-memory systems while still scaling well on high-end hardware.

• ROCm 7.2 Support
  Added support for ROCm 7.2, improving compatibility and stability on supported AMD GPUs.

• Bug Fixes & Stability Improvements
  Various fixes and internal cleanups to improve reliability during model loading and inference.

Full Changelog: v0.3.8...v0.4.0

---

Installation

1. Installer Version

1. Uninstall Diffuse v0.3.X
2. Download and run Diffuse_v0.4.0.exe
3. Follow the on-screen instructions

2. Standalone Version

1. Download and extract Diffuse_v0.4.0.zip
   A fast SSD with plenty of free space is recommended, as model downloads can be large.

2. 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

Important: This release includes many large changes. A full uninstall and reinstall is recommended (your downloaded models are safe to keep).

This version will overwrite your existing Settings.json. If you have added custom environments or models, you may want to back up this file before upgrading.

v0.3.8 - Add Model Wizard

Model Wizard

Add local Models/LoRA from Civitai or Huggingface easily using the new Model Wizard

---

Features

• Add Model Wizard
• Improved scheduler support
• Other bug-fixes

Full Changelog: v0.3.7...v0.3.8

---

Installation

1. Installer Version

1. Uninstall Diffuse v0.3.7
2. Download and run Diffuse_v0.3.8.exe
3. Follow the on-screen instructions

2. Standalone Version

1. Download and extract Diffuse_v0.3.8.zip
   A fast SSD with plenty of free space is recommended, as model downloads can be large.

2. 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

v0.3.7 - 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

1. Download and run Diffuse_v0.3.7.exe
2. Follow the on-screen instructions

2. Portable Version

1. Download and extract Diffuse_v0.3.7.zip
   A fast SSD with plenty of free space is recommended, as model downloads can be large.

2. 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 Alpha stage

---

Installation

1. Installer Version

1. Download and run Diffuse_v0.3.6.exe
2. Follow the on-screen instructions

2. Portable Version

1. Download and extract Diffuse_v0.3.6.zip
   A fast SSD with plenty of free space is recommended, as model downloads can be large.

2. 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

1. Download and extract Diffuse_v0.3.5.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 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

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