Welcome to the installation guide for AMD Radeon GPUs and APUs on Windows!
If you are a user of ComfyUI and have an AMD Radeon graphics card or APU, you will want to make sure you have the stable diffusion software installed for optimal performance. Follow these simple steps to get your AMD hardware up and running smoothly on Windows:
- Visit the AMD website to download the latest drivers and software for your Radeon GPU or APU.
- Run the installation file and follow the on-screen instructions to install the software on your Windows system.
- Once the installation is complete, restart your computer to apply the changes.
- Open the AMD Radeon Settings app to configure the settings and performance options for your GPU or APU.
- Make sure to enable any features or optimizations that are recommended for your specific hardware and usage scenario.
By following these steps, you can ensure that your AMD Radeon GPU or APU is running smoothly and efficiently on your Windows system with ComfyUI. Enjoy enhanced graphics performance and stability for all your computing needs!
For more information and support, visit the AMD support website or check out the ComfyUI community forums for additional tips and tricks.
Using ComfyUI with AMD hardware – this should be fine with the latest version of ComfyUI (Jun 2024) and using the APUs and discreet GPUs.
Beginner's Guide to ComfyUI and Stable Diffusion
Udemy – https://bit.ly/SDGenStart
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Recommended GPUs
https://geni.us/fU2hq8 (and no these are not the same as recommended for gaming – there's a reason for that)
APUs are fine, but performance will be limited.
Detailed instructions
https://cutt.ly/UDEMY-YT—How-to-Install-AMD-ComfyUI
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you are running it on the integrated gpu of your cpu as far as i can tell since its marked as gpuTM instead of its actual model number
Nice tutorial, thanks!
Is there a faster way to launch comfyui than trough the anaconda console next time I run it?
I have had trouble with directml not freeing memory and eventually causing my PC to hang, thankfully I found a fork of ComfyUI that uses ZLuda, you might want to try that fork to see how it compares.