v3.3.3 - Automations

v3.3.3 - Automations

Amuse now supports Automations, allowing you to move beyond single-image generation into high-volume workflows. Whether you're stress-testing a new model with a Seed Batch or processing an entire library of videos, the new Automation engine handles the heavy lifting.

Supported Automation Modes

• Seed Batch: Perfect for finding the "Golden Seed." Generates a specified number of outputs using a unique random seed for each iteration.
• Prompt Lines: Feed Amuse a single .txt file; it will iterate through every line and generate an image/video for each unique prompt.
• Prompt Folder: Point Amuse to a directory. It will scan for every text file and run a generation task based on the contents of each.
• Input Folder: The ultimate batch processor. Automatically run Upscale, Extract, Image or Video tasks on every image or video file found within a selected folder.

How to use

1. Navigate to the Automation tab (or the Automation section in your generation settings).
2. Select your Automation Type from the dropdown.
   • Tip: Hover over the mode to see a detailed tooltip of what it does!
3. Select your source file or folder.
4. Click Automate and let Amuse handle the queue.

Automations.mp4

Installation

This dev build is NOT compatible with previous versions of Amuse or existing ONNX models, full uninstall of Amuse 3.0 is REQUIRED.

Upgrade from v3.3.2 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.

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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 series GPUs only (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.

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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: v3.3.2...v3.3.3

v3.3.2 - New Inference Engine (pre-release)

Amuse v3.3.2 - New Inference Engine (pre-release)

This is a development build introducing a complete re-architecture of the inference engine. We are transitioning away from ONNX Runtime as the primary backend to a more modular engine supporting native Safetensors and GGUF.

This build serves as the first technical preview on the roadmap toward Amuse 4.0.

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Technical Pivot: From ONNX to Native Weights

The legacy ONNX implementation required significant conversion overhead and lacked immediate compatibility with the latest research. The new engine changes this:

• Format Support: Added native loaders for .safetensors and .gguf.
• SOTA Integration: Provides the foundation to run FLUX.2, Z-Image, and LTX-2 without waiting for ONNX-specific optimizations or model conversions.
• Quantization: Automatic quantization to bfloat16, float8 or NF4 data types, support for GGUF allows for advanced bit-depth control (4-bit, 5-bit, 8-bit, etc.), significantly improving VRAM management for high-parameter models on consumer hardware.

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What to Expect in this Dev Build

• New Backend Implementation: This is a ground-up rebuild. Expect instability as we port features over.
• Breaking Changes: Model loading logic has been overhauled. Existing ONNX models from your v3.0 install need to be updated to their Safetensors equivalents.
• Performance: Initial focus is on extensibility and compatibility. Performance tuning for specific AMD/NPU/GPU targets is ongoing.

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Installation

This dev build is NOT compatible with previous versions of Amuse or existing ONNX models, full uninstall of Amuse 3.0 is REQUIRED.

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.

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 series GPUs only (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: v3.2.0...v3.3.2

v3.2.0 - .NET 10.0 + OnnxRuntime v1.23.0

Amuse v3.2.0

This release pushes Amuse into the next generation of performance by migrating the entire stack to .NET 10 and the latest OnnxRuntime.

Improvements

• Runtime Upgrade: .NET 10 We have moved the application to the .NET 10 framework. This transition brings the latest JIT optimizations and improved memory management, ensuring Amuse remains at the forefront of high-performance C# applications.

• Engine Update: OnnxRuntime v1.23.0 The core inference engine has been bumped to v1.23.0. This update provides broader support for the latest model architectures and improved execution providers for faster generation speeds.

• Dependency Modernization All internal NuGet libraries have been updated to their latest stable versions, ensuring better security, stability, and compatibility across the board.

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