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Neural Foundry's avatar

Huge win for AMD users who've been stuck with suboptimal performance! The automatic ROCm selection during installtion is a nice touch since manually configuring GPU backends can be a pain. I'm curious how this compares to DirectML perfomance on the same hardware, since that was the previous workaround. The cross-attention flag support in 7.1.1 should help a lot with memory-intensive workflows.

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kai's avatar
18hEdited

A huge thank you for providing such a great tool!

I’ve been running some initial tests on my system, and it’s working very smoothly and perfectly stable with Python 3.12.11.

As a side note : I noticed a significant performance boost when running it on my manual ComfyUI setup with Python 3.13.9. I don't know if it is just the Python version.

in seconds

Py3.13.9 Py3.12.11 #1...Py3.12.11 #2

1........89,43.........317,63.............176,56

2........87,9...........211,21............223,56

3........88,53..........201,74.............318,05

4........84,86.........189,76.............219,25

AVG..87,6975.....230,085...........239,39

%.......100,00 .....262,36.............272,97 %

system:

Win 11

AMD Ryzen 5 7500F 6-Core Processor

AMD Radeon RX 7800 XT

64GB RAM.

test workflow:

https://openart.ai/workflows/aura_111_111/fantasy-elf-sdxl-cinematic-nsfwsfw-portrait-workflow-hires-fix-vae-ksampler-workflow/JiDA2LC9sKQnvBUbNFRQ

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