Local AI for image, video, audio and text.
Amuse is an open-source creative studio for Windows. Generate and edit images, create video, synthesize speech and write with LLMs, using the latest open models on your own GPU.
One app for the whole creative workflow.
Generate, refine and finish your work in one place, on your own machine.
Safetensors, GGUF & ONNX
Load models in the formats the community actually ships.
Video editor
Edit generated clips or your own footage in the built-in editor.
Image & video upscaling
Bring stills and moving media up to a higher resolution.
Feature extraction
Pull feature maps, background masks and poses from images and video.
Frame interpolation
Raise frame rates or turn any clip into smooth slow motion.
Inpainting
Remove unwanted objects or fill areas with generated content.
Advanced image editing
Selection and masking tools for precise, targeted edits.
LoRA & ControlNet
Steer style and composition with adapters and control maps.
Voice generation
Turn text into speech with Supertonic voices.
Speech recognition
Transcribe recordings and video audio with Whisper.
Text generation
Run Qwen and Gemma language models locally.
Media gallery
Organize, browse and manage everything you create.
The open models people are actually using.
New pipelines arrive with regular releases. Check the release notes for the latest additions.
Image
24- Z-Image
- Qwen
- FLUX.1
- FLUX.2
- FLUX.3
- Chroma
- Kandinsky 5
- Stable Diffusion XL
- Stable Diffusion 3
- Ernie Image
- Anima
- JoyAI Image
- PRX-Pixel
- Krea2
- GLM Image
- Ideogram 4
- Boogu
- Lens
- LongCat
- HiDream-O1
- LLaDA Image
- SenseNova U1.5
- MOSS-Image
- Fibo 2.0
Video
8- Wan 2.2
- CogVideoX
- Kandinsky 5
- SkyReels-V2
- Helios
- Motif
- AnyFlow
- MiniMax-H3
Audio
4- ACE-Step XL
- Whisper
- Supertonic v3
- LongCat Audio
Text
5- Qwen 3.0
- Qwen 3.5
- Qwen 3.6
- Qwen 3.8
- Gemma 4.0
Three inference engines, one studio.
Amuse is the reference application for the TensorStack SDK, which brings each model family to the runtime that suits it best.
stable-diffusion.cpp
Fast GGUF and Safetensors diffusion for image and video generation, with CUDA and Vulkan backends.
Hugging Face
Diffusers and Transformers pipelines running in managed Python environments, driven from .NET.
ONNX Runtime
Optimized ONNX models for language, speech recognition, voice and vision tasks such as upscaling.
Pick the backend that fits your hardware.
CUDA
Native GPU acceleration with CUDA 13.0. RTX cards are strongly recommended — their Tensor Cores are designed for AI workloads. Older Pascal and Maxwell cards may work, but aren't recommended.
Requires NVIDIA driver 580.65 or later.
Vulkan
A cross-vendor backend for compatible GPUs, with no need for CUDA or ROCm. Useful for systems without a supported CUDA or ROCm environment.
Support depends on your GPU and its Vulkan driver.
On Windows 11, run Amuse as administrator if setting up an environment fails.
Real-world compatibility and speed depend on GPU model, driver, operating system and backend.
Get Amuse for Windows.
Grab the latest release from GitHub, as a Windows installer or a .zip archive.
- Version
- v3.8.6 — Fibo 2.0
- Released
- Oct 29, 2026
- Platform
- Windows · built on .NET 10
- Installer size
- 407 MB
Prefer to compile it yourself?
Amuse is built on .NET 10 with Visual Studio.
- Install Visual Studio 2026 with the .NET desktop development workload.
- Clone the repository and open the
.slnfile. - Let Visual Studio restore the NuGet packages and dependencies.
- Choose a Debug or Release configuration and build the solution (
Ctrl+Shift+B). - Run
Amuse.exefrom the build output folder.
git clone https://github.com/saddam213/AmuseAI.git
Open source, with bundled dependencies noted.
The Amuse source code is licensed under Apache-2.0. Compiled binaries are distributed under the Amuse 2.0 License, because they bundle third-party software that may carry its own licensing terms.
Your GPU is ready. Are you?
Download Amuse and start creating locally, or see everything it can do at amuse-ai.com.