v3.7.0 - StableDiffusion.cpp Backend

Amuse v3.7.0 introduces a new StableDiffusion.cpp backend and adds support for Qwen 3.8 27B.

Unlike Python-based backends, StableDiffusion.cpp does not require Python or a large Python ML environment, making it easier to install, distribute, and run. It brings support for a growing range of image and video generation models through a lightweight, native backend.

Initial Model Support

The initial implementation supports:

• FLUX.1
• FLUX.2 Klein
• Ideogram 4
• Qwen Image
• Qwen Image Edit
• Anima
• Ernie
• Krea 2
• Z-Image
• LTX-2.3

More models will be implemented in upcoming Amuse builds.

Device Support

The StableDiffusion.cpp backend supports:

• Vulkan
• CUDA
• ROCm

This allows supported models to run across a wider range of hardware, including AMD, Intel, and NVIDIA GPUs, without requiring a Python-based runtime.

More Information: StableDiffusion.cpp https://github.com/leejet/stable-diffusion.cpp

Qwen 3.8 27B

Amuse v3.7.0 also adds support for Qwen 3.8 27B, expanding the range of language models available in Amuse.

Full Changelog: v3.6.3...v3.7.0

v3.6.3 - Basic Chat View

Note: The latest build may not work reliably with AMD devices.
If you’re using an AMD device, I recommend switching to a better-supported alternative such as ComfyUI or AMD Lemonade Server.

ComfyUI for AMD:
https://www.amd.com/en/blogs/2026/amd-comfyui-advancing-professional-quality-generative-ai-ryzen-radeon.html

Lemonade Server for AMD
https://lemonade-server.ai/

Full Changelog: v3.6.2...v3.6.3

v3.6.2 - Gemma4 + Qwen 3.6

Support for a few more mid range LLMs, including:

Qwen 3.0

• Qwen 3.0 14B
• Qwen 3.0 32B

Qwen 3.5

• Qwen 3.5 4B
• Qwen 3.5 9B
• Qwen 3.5 27B

Qwen 3.6

• Qwen 3.6 27B

Gemma 4.0

• Gemma 4.0 2B
• Gemma 4.0 4B
• Gemma 4.0 12B
• Gemma 4.0 31B

Installation

Upgrade from v3.5.7 - v3.6.1 is supported

1. Installer Version

Best for a standard Windows setup with automatic shortcuts.

• New Install & Upgrade:
  1. Download and run Amuse_vX.X.X.exe.
  2. Follow the on-screen instructions.

2. Standalone Version

Best for custom drive locations.

New Install:

1. Download and extract Amuse_vX.X.X.zip to your preferred folder.
2. Run Amuse.exe.

Upgrade:

1. Download and extract Amuse_vX.X.X.zip to a temp folder.
2. Copy and overwrite all files in your existing location
3. Run Amuse.exe.

Note: A fast SSD with plenty of free space is highly recommended, as model downloads can be large.
Note: Windows 11 users may need to Run As Administrator during environment creation if there are failures.

Device Compatibility

This new engine leverages a python based compute backend. Please note the following hardware requirements for this dev release:

• NVIDIA: Supports all CUDA compatible devices (CUDA 13.0).

Full Changelog: v3.6.1...v3.6.2

Amuse v3.6.1 - Bugfixes

• Fix Lora Selector not available
• Fix update zip file deleted before update, zip users will have to manually download this update

Installation

Upgrade from v3.2.0 - v3.6.0 is supported

1. Installer Version

Best for a standard Windows setup with automatic shortcuts.

• New Install & Upgrade:
  1. Download and run Amuse_vX.X.X.exe.
  2. Follow the on-screen instructions.

2. Standalone Version

Best for custom drive locations.

New Install:

1. Download and extract Amuse_vX.X.X.zip to your preferred folder.
2. Run Amuse.exe.

Upgrade:

1. Download and extract Amuse_vX.X.X.zip to a temp folder.
2. Copy and overwrite all files in your existing location
3. Run Amuse.exe.

Note: A fast SSD with plenty of free space is highly recommended, as model downloads can be large.
Note: Windows 11 users may need to Run As Administrator during environment creation if there are failures.

Full Changelog: v3.6.0...v3.6.1