Amuse is the flagship demo application for the TensorStack SDK, showcasing high-performance local AI image, video, audio and text generation through a modern, extensible .NET architecture.
- Automatic installation of an isolated, Python environment.
- Safetensors, GGUF, and ONNX support.
- Video Editor for generated or local content.
- Image/Video Upscale for static and moving media.
- Feature Extraction from images and video.
- Video Interpolation for frame rates and slow-motion.
- Image Inpaint to remove objects or fill areas.
- Advanced Image Editing with selection and masking tools.
- Voice Generation (Supertonic).
- Speech Recognition (Whisper).
- Media Gallery for organization and management.
- Lora/ControlNet Support for output control.
- Z-Image
- Qwen
- FLUX.1
- FLUX.2
- Chroma
- Kandinsky5
- StableDiffusion-XL
- StableDiffusion-3
- LTX
- LTX-2
- Wan 2.2
- CogVideoX
- Kandinsky5
- SkyReels-V2
- Helios
- ACE-Step XL
- Whisper
- Supertonic
Amuse utilizes NVIDIA CUDA 12.8 and AMD ROCm 7.2 for local hardware acceleration.
Amuse leverages CUDA 12.8, providing native support for the latest generation of hardware.
While legacy architectures (Pascal/Maxwell) are technically supported, an RTX-enabled card is strongly recommended to utilize Tensor Cores for efficient generation speeds.
| Architecture | Platform Support | GPU Models |
|---|---|---|
| Blackwell (SM_100) | Windows 10, 11, Server 22 | GeForce RTX 5090, 5080, 5070 Ti, 5070; RTX PRO Blackwell series |
| Ada Lovelace (SM_89) | Windows 10, 11, Server 22 | GeForce RTX 4090, 4080, 4070 Ti/Super, 4070, 4060 Ti, 4060; RTX 6000/5000/4000 Ada |
| Ampere (SM_86) | Windows 10, 11, Server 22 | GeForce RTX 3090 Ti, 3090, 3080 Ti, 3080, 3070 Ti, 3070, 3060 Ti, 3060; RTX A-series (A6000, etc.) |
| Turing (SM_75) | Windows 10, 11, Server 22 | GeForce RTX 2080 Ti, 2080 Super, 2070, 2060; GTX 1660 Ti, 1660 Super, 1650 |
Note: Minimum Driver (NVIDIA):
Version 527.41or later is required forCUDA 12.8compatibility.
Amuse currently only supports the 7000 series GPU's (7900XTX & W7900)
For AMD devices I recommend ComfyUI or AMD Lemonade Server, these will have way better support for AMD.
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/