ComfyUI-Zluda

ComfyUI-Zluda adapts a Stable Diffusion interface and backend with ZLUDA enhancements for AMD GPU performance.

github.com/patientx/ComfyUI-Zluda
ComfyUI-Zluda homepage screenshot

About ComfyUI-Zluda

ComfyUI-Zluda is a Windows-only adaptation of ComfyUI, a Stable Diffusion GUI, API and backend with a graph/nodes interface. It uses ZLUDA for AMD GPU systems.

The repository includes items such as an LTX version 2.3 image-to-video workflow that uses the distilled model without upscaling or a second stage. Developer notes state that antivirus tools may flag files in the ZLUDA folder and suggest excluding the folder from scanning.

Key features

  • Graph/nodes interface for Stable Diffusion workflows
  • GUI, API and backend for image generation
  • ZLUDA integration for AMD GPU systems
  • Distilled LTXv2.3 image-to-video workflow included
Best for: Windows users with AMD GPUs who want to run ComfyUI with a nodes-based interface.
Good for
  • Open-source repository for running ComfyUI locally
  • Adapted for AMD GPU systems through ZLUDA
  • Provides both a graphical nodes interface and an API
Watch out for
  • Windows-only, with no stated support for other operating systems
  • Antivirus tools may flag ZLUDA files, requiring a folder exclusion per developer notes

ComfyUI-Zluda at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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ComfyUI-Zluda FAQ

Is ComfyUI-Zluda for Windows only?
Yes, it is described as a Windows-only version of ComfyUI that uses ZLUDA for AMD GPUs.
Why does antivirus software detect files in the ZLUDA folder?
Developer notes say nccl.dll and cufftw.dll are dummy compatibility files and zluda.exe injects DLLs by intercepting Windows API calls, which antivirus tools can flag. The suggested solution is to exclude the ZLUDA or ComfyUI-Zluda folder from scanning.
How is ComfyUI-Zluda different from the mentioned comfyui-rocm project?
The notes state comfyui-rocm uses AMD's official ROCm and PyTorch packages instead of ZLUDA, and supports RDNA1 to RDNA4 GPUs, with some 6000-series mobile GPUs excluded.
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