v3.5.1 - Multi-Python Support, OnnxRuntime Integration, and Architecture Refactor

v3.5.0 - Multi-Python Support, OnnxRuntime Integration, and Architecture Refactor

Amuse v3.5.0 introduces expanded hardware compatibility and a structural refactoring of the core engine. This release adds multi-version Python runtime support, integrates OnnxRuntime execution for Stable Diffusion, and optimizes AMD GPU inference pipelines. Additionally, a rebuilt component-based model system paired with a dedicated model downloader changes how models are registered, fetched, and managed across pipelines.

New Features

Multi-Version Python Support

• The application now supports multiple Python versions concurrently, simplifying dependency management and allowing environment switching without a global version lock.

OnnxRuntime for Stable Diffusion

• Full support for OnnxRuntime has been integrated into the Stable Diffusion pipelines, providing execution speed improvements and reduced VRAM utilization across supported hardware backends.

Component-Based Model System

• The model registry has been re-engineered into a decoupled, modular architecture. Sub-components—such as tokenizers, text encoders, and UNets—can now be managed independently and utilized across different execution pipelines.

Model Downloader

• Introduced a dedicated model management utility that handles background downloads, chunking, integrity validation, and direct installation into the new component system.

---

Installation

This dev build is NOT compatible with previous versions of Amuse or existing ONNX models, full uninstall of Amuse 3.2.0 is REQUIRED.

Like other DEV builds I recommend a full Uninstall + Install,
Upgrade from v3.3.2, v3.3.3, v3.3.4, v3.3.5, v3.3.7, v3.4.0 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.

---

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 12.8).
• AMD: Supports Radeon 7000 GPUs (ROCm 7.2.1).
• Intel: Not Supported.
• Legacy Hardware: If you are using an incompatible device or older AMD hardware, it is highly recommended to stay on v3.2.0 until broader support is ported to the new engine.

---

Developers Note

Only install this version if you are interested in testing development builds. As I am a solo developer with very limited testing resources and only a few devices, things may not work, and features may be missing. Each dev build may require re-installs and other manual processes. Please only install if this is okay; otherwise, wait until a stable release is ready.

Full Changelog: v3.4.0...v3.5.0