# Accelerating ComfyUI Workflows on AMD Instinct™ MI355X GPUs with ROCm

**URL:** <https://devcommunity.amd.com/t/accelerating-comfyui-workflows-on-amd-instinct-mi355x-gpus-with-rocm/521>\
**Category:** Docs\
**Tags:** ai, rocm, guide, comfyui\
**Created:** [May 12, 2026, 9:15am UTC](https://devcommunity.amd.com/t/accelerating-comfyui-workflows-on-amd-instinct-mi355x-gpus-with-rocm/521 "2026-05-12T09:15:19Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Uncy\_AMD](https://dub1.discourse-cdn.com/amd/user_avatar/devcommunity.amd.com/uncy_amd/32/142_2.png) [@Uncy\_AMD](https://devcommunity.amd.com/u/Uncy_AMD)\
**Post date:** [May 12, 2026, 9:15am UTC](https://devcommunity.amd.com/t/accelerating-comfyui-workflows-on-amd-instinct-mi355x-gpus-with-rocm/521/1 "2026-05-12T09:15:19Z")

</div>

![obraz](https://global.discourse-cdn.com/amd/original/1X/aa489f7d7bb1eb1236165ffc2bd4df3121960bf1.jpeg)

[ComfyUI](https://www.comfy.org/) is an open-source, graphical node-based interface for building generative AI workflows using diffusion models. With over 100,000 stars on GitHub, it has become one of the most widely adopted tools for text-to-image, text-to-video, and image-to-3D generation. You can build workflows by connecting nodes in a drag-and-drop visual interface (no coding required). A large community contributes custom nodes and workflow templates, making ComfyUI a versatile front-end for models ranging from 12B to 27B parameters. For background and setup across AMD platforms, see the earlier ROCm blogs [Running ComfyUI on AMD Instinct](https://rocm.blogs.amd.com/software-tools-optimization/comfyui-on-amd/README.html), [Getting Started with ComfyUI on AMD Radeon™ RX 9000 Series GPUs](https://rocm.blogs.amd.com/artificial-intelligence/comfyui-radeon-9000/README.html), and [Running ComfyUI in Windows with ROCm on WSL](https://rocm.blogs.amd.com/software-tools-optimization/rocm-on-wsl/README.html).

The models behind these workflows (Diffusion Transformers or DiTs, rectified flow transformers, and multi-view diffusion networks) are both compute- and memory-intensive, making GPU acceleration critical for practical use. This blog benchmarks three production-relevant ComfyUI workflows on AMD Instinct MI355X and NVIDIA B200 and shows that **MI355X is up to 1.439x faster** [[1]](https://rocm.blogs.amd.com/artificial-intelligence/comfyui/README.html#id9), enabled by PyTorch Attention optimizations for the CDNA4 (gfx950) architecture shipped with [ROCm 7.2.0](https://rocm.docs.amd.com/en/docs-7.2.0/). You can follow along to set up your environment, run ComfyUI, and reproduce these results.

## READ MORE: [Accelerating ComfyUI Workflows on AMD Instinct™ MI355X GPUs with ROCm — ROCm Blogs](https://rocm.blogs.amd.com/artificial-intelligence/comfyui/README.html)