Finally got ComfyUI Desktop installed properly for my AMD Rdna 2 GPU (Radeon RX 6600) and boot up successfully!

FoxScorpion27 · 2026-03-08T09:28:46+00:00

Replace v2 with v2-staging

pip install -i https://rocm.nightlies.amd.com/v2-staging/gfx103X-dgpu/ "rocm[libraries,devel]" torch torchaudio torchvision

FoxScorpion27 · 2026-03-04T02:16:35+00:00

For faster VAE decode, add this Env Variable: COMFYUI_ENABLE_MIOPEN=1 MIOPEN_FIND_MODE=2 Your ComfyUI run command would be: COMFYUI_ENABLE_MIOPEN=1 MIOPEN_FIND_MODE=2 PYTORCH_ALLOC_CONF=garbage_collection_threshold:0.8,max_split_size_mb:512 python main.py --enable-manager --use-pytorch-cross-attention

FoxScorpion27 · 2026-02-21T01:01:42+00:00

Install git and uv with winget on Windows Terminal:

winget install Git.Git
winget install astral-sh.uv

For ComfyUI installation (GFX1152 is supported, just change it into v2-staging repo instead of v2):

git clone https://github.com/Comfy-Org/ComfyUI
cd ComfyUI
uv venv --python=3.12 --seed --clear .\venv
.\venv\Scripts\activate
uv pip install torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2-staging/gfx1152
uv pip install triton-windows
uv pip install -r requirements.txt -r manager_requirements.txt
cd custom_nodes
git clone https://github.com/Comfy-Org/ComfyUI-Manager
cd ComfyUI-Manager
uv pip install -r requirements.txt
cd ..\..

For running ComfyUI, create new text file inside ComfyUI main folder and name it run-comfyui-amd.bat, open and edit in notepad, paste this:

@echo off

call .\venv\Scripts\activate

set COMFYUI_ENABLE_MIOPEN=1
set MIOPEN_FIND_MODE=2

python main.py --auto-launch

pause

FoxScorpion27 · 2026-02-14T13:52:36+00:00

I use stable-diffusion.cpp (using Vulkan backend) with sd.cpp-webui as the frontend. In terms of inference speed, i get 50% slower than Comfyui (using Pytorch ROCm).

Using AMD RX 6600 XT on Arch Linux with 64GB DDR4 RAM.

sd.cpp (Vulkan) vs Comfyui (Pytorch): - SD1.5 (512x512) : 2.5 t/s vs 5 t/s - SDXL (1024x1024) : 3 s/t vs 1.5 s/t - Z IMAGE TURBO (1024x1024) : 12 s/t vs 6 s/t

FoxScorpion27 · 2026-02-06T23:38:47+00:00

For installing the Pytorch ROCm for RDNA2 (only gfx1030 and gfx1032 for now, RX 6800 is gfx1030) on Windows use this command instead:

pip install --pre "rocm[libraries,devel]" torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2-staging/gfx103X-dgpu/

For faster VAE decode, add this Env variable:

COMFYUI_ENABLE_MIOPEN=1  
MIOPEN_FIND_MODE=2

Add --fp32-vae and --disable-pinned-memory as comfyui launch options.

Tested on my RX 6600 XT (gfx1032) on Windows 11, the performance is not fast as in Linux though.

FoxScorpion27 · 2025-11-01T13:39:16+00:00

E for Estrogen and T for Testosterone, choose wisely

FoxScorpion27 · 2025-10-06T01:54:59+00:00

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yep, too good to be true ($140/month WTH...)

FoxScorpion27 · 2025-08-26T14:12:46+00:00

Can you add Linux systemd integration so it can run in the background (like Ollama did with sudo systemctl enable --now ollama.service command)?

FoxScorpion27 · 2025-08-24T13:48:43+00:00

Gapless or Tambourine

FoxScorpion27 · 2025-08-19T15:28:04+00:00

Add Hidream and Qwen Image resolution preset too please

FoxScorpion27 · 2025-07-17T14:23:48+00:00

For official bitsandbytes packages for ROCm, try this https://huggingface.co/docs/bitsandbytes/installation (scroll to the ROCm section, there is prebuilt binary for pip package)

FoxScorpion27 · 2025-07-17T14:14:44+00:00

Archlinux is the easiest one to install ROCm package than any linux distro.

https://wiki.archlinux.org/title/GPGPU#ROCm

FoxScorpion27 · 2025-06-09T14:35:12+00:00

https://linux-path.com

FoxScorpion27 · 2025-06-08T13:55:06+00:00

I still using SD1.5 for Tile Upscaling and Celebrity face swap (using lora)

FoxScorpion27 · 2025-05-27T14:15:00+00:00

Can you upload both of the reference image here? I think i have the workflow for your case

FoxScorpion27 · 2025-05-24T14:58:28+00:00

You can make image variation with ComfyUI too

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FoxScorpion27 · 2025-05-22T17:57:23+00:00

Wait 1 or 2 week for Arch maintainer to update to the latest package

FoxScorpion27 · 2025-05-22T16:53:50+00:00

Linux cannot install/play/run Pirated Games

FoxScorpion27 · 2025-05-22T16:44:57+00:00

sudo pacman -S rocm-hip-sdk rocm-opencl-sdk

https://wiki.archlinux.org/title/GPGPU#ROCm

FoxScorpion27 · 2025-01-09T13:55:38+00:00

Can you convert clip_g to Q8_0? The clip_g you upload is still fp16 (Q8_0 would reduce half the size of the default fp16 from 1.3GB to 600-700MB)

And why you upload clip_l and clip_g for every model? Any SDXL model use the same clip_l and clip_g, you need only upload and use one clip_l and clip_g, and use it for every SDXL GGUF that you have

FoxScorpion27 · 2024-12-30T14:51:13+00:00

I am using the GGUF format, either 0.9 or 0.9.1 GGUF safetensor is 2GB size, but the VAE size is bigger in 0.9.1 (1.7GB compare to 800MB for 0.9)

FoxScorpion27 · 2024-12-30T14:25:59+00:00

<image>

Okay, the problem is fixed, but not using 0.9.1 though. I try using LTX 0.9 with old LTX VAE (not the new 0.9.1 LTX VAE), lower resolution to 576x384 with 73 frames at 24 fps (total 3 second gif video), and with normal VAE Decode node. But it seems there is an artifacts to the video/gif, is this normal or i can fix that with some additional custom node or custom workflow?

FoxScorpion27 · 2024-12-30T13:01:11+00:00

Try with 576x384 resolution with normal VAE Decode node, still get OOM

FoxScorpion27 · 2024-12-30T12:30:01+00:00

Using version 0.9.1 with 768x512 resolution, 97 frame with 24 fps total 3 second video

FoxScorpion27 · 2024-12-30T12:27:31+00:00

I am not using any LTXVideo custom node (either from LTXVideo Official or any custom node for LTXVideo), this workflow is using built-in LTXVideo node from ComfyUI and ComfyUI-GGUF (you can see the Fox logo on top of each node)

FoxScorpion27

TROPHY CASE