Adding support for other Intel Arc GPUs

Oct 13, 2025 by thesweetdesigns.com 46 views

Make ComfyUI-Hunyuan3DWrapper Compatible with Intel Arc GPU's (xpu)

ComfyUI-Hunyuan3DWrapper is a powerful tool for generating 3D models using AI. However, it is currently only compatible with NVIDIA GPUs, which can be a limitation for users who prefer to use Intel Arc GPUs. In this article, we will explore the possibility of adapting the ComfyUI-Hunyuan3DWrapper code to run on XPU for Intel Arc A series.

ComfyUI-Hunyuan3DWrapper is a Python-based tool that uses the Stable Diffusion pipeline to generate 3D models. The pipeline is built on top of the PyTorch library, which is a popular deep learning framework. However, PyTorch is not compiled with CUDA enabled by default, which means that it is not compatible with Intel Arc GPUs.

When trying to run ComfyUI-Hunyuan3DWrapper on an Intel Arc A770, the tool throws an error message indicating that Torch is not compiled with CUDA enabled. This is because the tool is trying to use the CUDA backend, which is not compatible with Intel Arc GPUs.

To make ComfyUI-Hunyuan3DWrapper compatible with Intel Arc GPUs, we need to modify the code to use the XPU backend instead of CUDA. This involves replacing all occurrences of 'cuda' with 'xpu' in the code.

Here is a step-by-step guide to modifying the ComfyUI-Hunyuan3DWrapper code to use the XPU backend:

List all .py files in the [COMFYUI\custom_nodes\ComfyUI-Hunyuan3DWrapper] folder: Open the folder and list all .py files.
Open each .py file in Notepad: Open each .py file in Notepad and search for 'cuda' or 'cuda' string occurrences.
Replace each 'cuda' occurrence with 'xpu' or 'xpu' string: Replace each 'cuda' occurrence with 'xpu' or 'xpu' string.
Repeat the process for all .py files: Repeat the process for all .py files in the folder.

Here is an example of how to modify the code to use the XPU backend:

import torch
import torch_xpu

# Replace 'cuda' with 'xpu'
device = torch.device('xpu' if torch.cuda.is_available() else 'cpu')

# Create a PyTorch model
model = torch.nn.Sequential(
    torch.nn.Linear(10, 20),
    torch.nn.ReLU(),
    torch.nn.Linear(20, 10)
)

# Move the model to the XPU device
model.to(device)

In conclusion, making ComfyUI-Hunyuan3DWrapper compatible with Intel Arc GPUs requires modifying the code to use the XPU backend instead of CUDA. This involves replacing all occurrences of 'cuda' with 'xpu' in the code. By following the step-by-step guide and example code provided, users can adapt the ComfyUI-Hunyuan3DWrapper code to run on XPU for Intel Arc A series.

Future work includes:

Testing the modified code: Test the modified code to ensure that it works correctly on Intel Arc GPUs.
Optimizing the code: Optimize the code to improve performance on Intel Arc GPUs.
Adding support for other Intel Arc GPUs: Add support for other Intel Arc GPUs, such as the Intel Arc A580.

The author would like to thank the ComfyUI-Hunyuan3DWrapper team for their support and guidance throughout this project.
Q&A: Making ComfyUI-Hunyuan3DWrapper Compatible with Intel Arc GPU's (xpu)

In our previous article, we explored the possibility of adapting the ComfyUI-Hunyuan3DWrapper code to run on XPU for Intel Arc A series. In this article, we will answer some frequently asked questions (FAQs) about making ComfyUI-Hunyuan3DWrapper compatible with Intel Arc GPUs.

A: The main issue is that ComfyUI-Hunyuan3DWrapper is currently only compatible with NVIDIA GPUs, which means that it uses the CUDA backend. However, Intel Arc GPUs use the XPU backend, which is not compatible with the current code.

A: To modify the code to use the XPU backend, you need to replace all occurrences of 'cuda' with 'xpu' in the code. This involves searching for 'cuda' or 'cuda' string occurrences in all .py files in the [COMFYUI\custom_nodes\ComfyUI-Hunyuan3DWrapper] folder and replacing them with 'xpu' or 'xpu' string.

A: Using the XPU backend can provide several benefits, including:

Improved performance: XPU is designed to provide better performance on Intel Arc GPUs, which can lead to faster rendering and better overall performance.
Better compatibility: XPU is designed to work with Intel Arc GPUs, which means that it is more compatible with these devices.
Reduced power consumption: XPU is designed to be more power-efficient than CUDA, which can lead to reduced power consumption and lower energy costs.

A: To test the modified code, you need to run it on an Intel Arc GPU and verify that it works correctly. You can do this by following these steps:

Install the Intel Arc GPU driver: Install the latest Intel Arc GPU driver on your system.
Install the XPU backend: Install the XPU backend on your system.
Modify the code: Modify the code to use the XPU backend.
Run the code: Run the code on an Intel Arc GPU and verify that it works correctly.

A: There are several potential issues with using the XPU backend, including:

Incompatibility with NVIDIA GPUs: The XPU backend is designed to work with Intel Arc GPUs, which means that it may not be compatible with NVIDIA GPUs.
Performance issues: The XPU backend may not provide the same level of performance as the CUDA backend, which can lead to slower rendering and other performance issues.
Compatibility issues: The XPU backend may not be compatible with all software and hardware, which can lead to compatibility issues.

A: To troubleshoot issues with the XPU backend, you need to follow these steps:

Check the system logs: Check the system logs to see if there are any error messages related to the XPU backend.
Check the code: Check the code to see if there are any issues with the XPU backend.
Contact support: Contact support for help with troubleshooting issues with the XPU backend.

In conclusion, making ComfyUI-Hunyuan3DWrapper compatible with Intel Arc GPUs requires modifying the code to use the XPU backend. This involves replacing all occurrences of 'cuda' with 'xpu' in the code. By following the FAQs provided in this article, you can troubleshoot issues with the XPU backend and ensure that it works correctly on Intel Arc GPUs.