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language:
- en
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<p align="center">
   <img width="30%" src="https://raw.githubusercontent.com/TensorStack-AI/AmuseAI/refs/heads/master/Assets/Amuse-Logo-512.png">
</p>
<div align="center">
   <h1><a href="https://github.com/TensorStack-AI/AmuseAI/releases/download/v3.4.0/Amuse_v3.4.0.exe">Download Amuse v3.4.0</a></h1>
</div>


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# Amuse
Amuse is a high-performance local .NET application for AI image and video generation. Create and process media with a streamlined interface designed for ease of use and seamless integration with modern hardware.

<p align="center" width="100%">
    <img src="https://raw.githubusercontent.com/TensorStack-AI/AmuseAI/master/Assets/Screenshots/TextToImage.PNG">
</p>



## 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.

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## Image Pipelines
- Z-Image
- Qwen
- FLUX.1
- FLUX.2
- Chroma
- Kandinsky5
- StableDiffusion-XL
- StableDiffusion-3

## Video Pipelines
- LTX
- LTX-2
- Wan 2.2
- CogVideoX
- Kandinsky5
- SkyReels-V2
- Helios

## Audio Pipelines
- ACE-Step XL
- Whisper
- Supertonic

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## GPU Support
Amuse utilizes `NVIDIA CUDA 12.8` and `AMD ROCm 7.2` for local hardware acceleration.

### Nvidia GPU Support
Amuse leverages `CUDA 12.8`, providing native support for the latest generation of hardware.<br /> While legacy architectures (Pascal/Maxwell) are technically supported, an RTX-enabled card is strongly recommended to utilize Tensor Cores for efficient generation speeds.
<table>
  <thead>
    <tr>
      <th>Architecture</th>
      <th>Platform Support</th>
      <th>GPU Models</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td><b>Blackwell</b> (SM_100)</td>
      <td>Windows 10, 11, Server 22</td>
      <td>GeForce RTX 5090, 5080, 5070 Ti, 5070; RTX PRO Blackwell series</td>
    </tr>
    <tr>
      <td><b>Ada Lovelace</b> (SM_89)</td>
      <td>Windows 10, 11, Server 22</td>
      <td>GeForce RTX 4090, 4080, 4070 Ti/Super, 4070, 4060 Ti, 4060; RTX 6000/5000/4000 Ada</td>
    </tr>
    <tr>
      <td><b>Ampere</b> (SM_86)</td>
      <td>Windows 10, 11, Server 22</td>
      <td>GeForce RTX 3090 Ti, 3090, 3080 Ti, 3080, 3070 Ti, 3070, 3060 Ti, 3060; RTX A-series (A6000, etc.)</td>
    </tr>
    <tr>
      <td><b>Turing</b> (SM_75)</td>
      <td>Windows 10, 11, Server 22</td>
      <td>GeForce RTX 2080 Ti, 2080 Super, 2070, 2060; GTX 1660 Ti, 1660 Super, 1650</td>
    </tr>
  </tbody>
</table>

> Note: Minimum Driver (NVIDIA): `Version 527.41` or later is required for `CUDA 12.8` compatibility.

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### AMD GPU Support
Amuse leverages `ROCm 7.2`, which introduces a unified software stack for Windows and Linux.<br /> This version is highly optimized for RDNA 3 and the newly released RDNA 4 architectures, offering significant performance gains in local AI inference.

<table>
  <thead>
    <tr>
      <th>Architecture</th>
      <th>Platform Support</th>
      <th>GPU Models</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td><b>gfx1151</b> (STX_Halo)</td>
      <td>Windows 10, 11, Server 22</td>
      <td>Ryzen AI MAX+ Pro 395</td>
    </tr>
    <tr>
      <td><b>gfx110X</b> (RDNA3)</td>
      <td>Windows 10, 11, Server 22</td>
      <td>Radeon PRO W7900/W7800/W7700/V710, RX 7900 XTX/XT/GRE, RX 7800 XT, RX 7700 XT</td>
    </tr>
  </tbody>
</table>

> Note: Minimum Driver (AMD): `Version 26.1.1` or later is required for `ROCM 7.2` compatibility.

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