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Amuse

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.

Features

  • 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.

Image Pipelines

  • Z-Image
  • Qwen
  • FLUX.1
  • FLUX.2
  • Chroma
  • Kandinsky5
  • StableDiffusion-XL
  • StableDiffusion-3
  • Ernie Image
  • Anima
  • JoyAI Image
  • PRX-Pixel
  • Krea2
  • GLM Image
  • Ideogram4

Video Pipelines

  • LTX
  • LTX-2
  • Wan 2.2
  • CogVideoX
  • Kandinsky5
  • SkyReels-V2
  • Helios

Audio Pipelines

  • ACE-Step XL
  • Whisper
  • Supertonic
  • LongCat Audio

GPU Support

Amuse utilizes NVIDIA CUDA 12.8 for local hardware acceleration.

Nvidia GPU Support

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 527.41 or later is required for CUDA 12.8 compatibility.


AMD GPU Support

AMD GPU's are currently not supported
For AMD devices I recommend ComfyUI or AMD Lemonade Server, these will have full support for AMD.

ComfyUI: https://comfy.org/

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


Intel GPU Support

Intel GPU's are currently not supported
For Intel devices I recommend ComfyUI or Intel AI Playground, these will have full support for Intel.

ComfyUI: https://comfy.org/

Intel AI Playground: https://www.intel.com/content/www/us/en/products/docs/discrete-gpus/arc/software/ai-playground.html