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Add instructions to install nightly AMD pytorch for windows. #10190

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Oct 4, 2025
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Add instructions to install nightly AMD pytorch for windows. #10190

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Add instructions to install nightly AMD pytorch for windows.
comfyanonymous Oct 4, 2025
2b4d100
Update README.md
comfyanonymous Oct 4, 2025
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26 changes: 19 additions & 7 deletions README.md
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Expand Up @@ -206,7 +206,8 @@ Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints
Put your VAE in: models/vae


### AMD GPUs (Linux only)
### AMD GPUs (Linux)

AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:

```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.4```
Expand All @@ -215,6 +216,23 @@ This is the command to install the nightly with ROCm 7.0 which might have some p

```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.0```


### AMD GPUs (Experimental: Windows and Linux), RDNA 3, 3.5 and 4 only.

These have less hardware support than the builds above but they work on windows. You also need to install the pytorch version specific to your hardware.

RDNA 3 (RX 7000 series):

```pip install --pre torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2/gfx110X-dgpu/```

RDNA 3.5 (Strix halo/Ryzen AI Max+ 365):

```pip install --pre torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2/gfx1151/```

RDNA 4 (RX 9000 series):

```pip install --pre torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2/gfx120X-all/```

### Intel GPUs (Windows and Linux)

(Option 1) Intel Arc GPU users can install native PyTorch with torch.xpu support using pip. More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html)
Expand Down Expand Up @@ -270,12 +288,6 @@ You can install ComfyUI in Apple Mac silicon (M1 or M2) with any recent macOS ve

> **Note**: Remember to add your models, VAE, LoRAs etc. to the corresponding Comfy folders, as discussed in [ComfyUI manual installation](#manual-install-windows-linux).

#### DirectML (AMD Cards on Windows)

This is very badly supported and is not recommended. There are some unofficial builds of pytorch ROCm on windows that exist that will give you a much better experience than this. This readme will be updated once official pytorch ROCm builds for windows come out.

```pip install torch-directml``` Then you can launch ComfyUI with: ```python main.py --directml```

#### Ascend NPUs

For models compatible with Ascend Extension for PyTorch (torch_npu). To get started, ensure your environment meets the prerequisites outlined on the [installation](https://ascend.github.io/docs/sources/ascend/quick_install.html) page. Here's a step-by-step guide tailored to your platform and installation method:
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