Windows-only version of ComfyUI which uses ZLUDA to get better performance with AMD GPUs.
- Changed
start.bat
tocomfyui.bat
because there is already a windows command by that name, which creates some problems. Also addedfix-update.bat
which solves the problem that causes not being able to update to the latest version. - Updated ZLUDA to 3.8.4, thanks to lshqqytiger for still supporting HIP SDK 5.7. Install will install that version from
now on, and if you are already on the previous one please run
patchzluda.bat
once. Of course, remember the first time for every type of model would take extra time. You can still use both zluda's on the same machine btw. But I recommend updating.
Important
📢 REGARDING KEEPING THE APP UP TO DATE
Avoid using the update function from the manager, instead use git pull
, which we
are doing on every start if start.bat
is used. (App Already Does It Every Time You Open It, If You Are Using
comfyui.bat
, So This Way It Is Always Up To Date With Whatever Is On My GitHub Page)
Only use comfy manager to update the extensions
(Manager -> Custom Nodes Manager -> Set Filter To Installed -> Click Check Update On The Bottom Of The Window)
otherwise it breaks the basic installation, and in that case run install.bat
once again.
📢 REGARDING RX 480-580 AND SIMILAR GPUS
After a while we need to keep updating certain packages to keep up with the original app and certain requirements of
some models etc. So, torch is changed over time , but this gave gpu's prior to rdna some negative performance.
So for these gpu's please use fixforrx580.bat
if you are having memory problems too much slowdown etc. This
is not mandatory and it won't just make your gpu faster then before but it would be less problematic then using latest torch
that we use with other gpu's.
📢 RANDOM TIPS & TRICKS REGARDING USING AMD GPU'S
- The generation speed is slower than nvidia counterparts we all know and accept it, but most of the time the out of memory situation at the end with VAE decoding is worse. To overcome this use "--cpu-vae". Add it to commandline_args on comfyui.bat. You can now decode using your system memory (the more the memory the better) and your cpu power. This might be slower but at least it works.
If coming from the very start, you need :
- Git: Download from https://git-scm.com/download/win. During installation don't forget to check the box for "Use Git from the Windows Command line and also from 3rd-party-software" to add Git to your system's PATH.
- Python (3.10.11 or 3.11 from the official website): Install the latest release from python.org. Don't Use Windows Store Version. If you have that installed, uninstall and please install from python.org. During installation remember to check the box for "Add Python to PATH when you are at the "Customize Python" screen.
- Visual C++ Runtime: Download vc_redist.x64.exe and install it.
- Install HIP SDK 5.7.1 from HERE
- Update: HIP 6.1.2 released now, but there are problems so no need to use that one, please be careful about selecting the correct version, "Windows 10 & 11 5.7.1 HIP SDK"
- Add the system variable HIP_PATH, value:
C:\\Program Files\\AMD\\ROCm\\5.7\\
(This is the default folder, if you have installed it on another drive, change if necessary)- Check the variables on the lower part (System Variables), there should be a variable called: HIP_PATH.
- Also check the variables on the lower part (System Variables), there should be a variable called: "Path". Double-click it and click "New" add this: C:\Program Files\AMD\ROCm\5.7\bin
- If you have an AMD GPU below 6800 (6700,6600 etc.), download the recommended library files for your gpu
from Brknsoul Repository
- Go to folder "C:\Program Files\AMD\ROCm\5.7\bin\rocblas", there would be a "library" folder, backup the files inside to somewhere else.
- Open your downloaded optimized library archive and put them inside the library folder (overwriting if necessary): "C:\Program Files\AMD\ROCm\5.7\bin\rocblas\library"
- Reboot your system.
Open a cmd prompt. (Powershell doesn't work, you have to use command prompt.)
git clone https://github.com/patientx/ComfyUI-Zluda
cd ComfyUI-Zluda
install.bat
to start for later use (or create a shortcut to) :
comfyui.bat
also for later when you need to repatch zluda (maybe a torch update etc.) you can use:
patchzluda.bat
- The first generation would take around 10-15 minutes, there won't be any progress or indicator on the webui or cmd window, just wait. Zluda creates a database for use with generation with your gpu.
Note
This might happen with torch changes , zluda version changes and / or gpu driver changes.
- Wipe your pip cache "C:\Users\USERNAME\AppData\Local\pip\cache" You can also do this when venv is active with :
pip cache purge
xformers
isn't usable with zluda so any nodes / packages that require it doesn't work.Flash attention
doesn't work. And lastly usingcodeformer
for face restoration gives "Failed inference: CUDA driver error: unknown error" You should use gfpgan / gpen / restoreformer or other face restoration models.- Have the latest drivers installed for your amd gpu. Also, Remove Any Nvidia Drivers you might have from previous nvidia gpu's.
- If you see zluda errors make sure these three files are inside "ComfyUI-Zluda\venv\Lib\site-packages\torch\lib"
cublas64_11.dll (196kb)
cusparse64_11.dll (193kb)
nvrtc64_112_0.dll (125kb)
If they are there but bigger files run :patchzluda.bat
- If for some reason you can't solve with these and want to start from zero, delete "venv" folder and re-run
install.bat
- If you can't git pull to the latest version, run these commands,
git fetch --all
and thengit reset --hard origin/master
now you can git pull - Problems with
caffe2_nvrtc.dll
: if you are sure you properly installed hip and can see it on path, please DON'T use python from windows store, use the link provided or 3.11 from the official website. After uninstalling python from windows store and installing the one from the website, be sure the delete venv folder, and run install.bat once again. rocBLAS
-error: If you have an integrated GPU by AMD (e.g. AMD Radeon(TM) Graphics) you need to addHIP_VISIBLE_DEVICES=1
to your environment variables. Otherwise it will default to using your iGPU, which will most likely not work. This behavior is caused by a bug in the ROCm-driver.
Keybind | Explanation |
---|---|
Ctrl + Enter |
Queue up current graph for generation |
Ctrl + Shift + Enter |
Queue up current graph as first for generation |
Ctrl + Alt + Enter |
Cancel current generation |
Ctrl + Z /Ctrl + Y |
Undo/Redo |
Ctrl + S |
Save workflow |
Ctrl + O |
Load workflow |
Ctrl + A |
Select all nodes |
Alt + C |
Collapse/uncollapse selected nodes |
Ctrl + M |
Mute/unmute selected nodes |
Ctrl + B |
Bypass selected nodes (acts like the node was removed from the graph and the wires reconnected through) |
Delete /Backspace |
Delete selected nodes |
Ctrl + Backspace |
Delete the current graph |
Space |
Move the canvas around when held and moving the cursor |
Ctrl /Shift + Click |
Add clicked node to selection |
Ctrl + C /Ctrl + V |
Copy and paste selected nodes (without maintaining connections to outputs of unselected nodes) |
Ctrl + C /Ctrl + Shift + V |
Copy and paste selected nodes (maintaining connections from outputs of unselected nodes to inputs of pasted nodes) |
Shift + Drag |
Move multiple selected nodes at the same time |
Ctrl + D |
Load default graph |
Alt + + |
Canvas Zoom in |
Alt + - |
Canvas Zoom out |
Ctrl + Shift + LMB + Vertical drag |
Canvas Zoom in/out |
P |
Pin/Unpin selected nodes |
Ctrl + G |
Group selected nodes |
Q |
Toggle visibility of the queue |
H |
Toggle visibility of history |
R |
Refresh graph |
F |
Show/Hide menu |
. |
Fit view to selection (Whole graph when nothing is selected) |
Double-Click LMB | Open node quick search palette |
Shift + Drag |
Move multiple wires at once |
Ctrl + Alt + LMB |
Disconnect all wires from clicked slot |