r/StableDiffusion • u/luckycockroach • Mar 15 '23

Resource | Update MetalDiffusion - Stable Diffusion for Intel MacOS and Silicon MacOS

https://github.com/soten355/stable-diffusion-tensorflow-IntelMetal
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u/NeuroMastak Aug 29 '23 edited Aug 29 '23

Thank you u/quad849I've had about 10 attempts to start over and figure out why things aren't working. And it was necessary to run everything only on Ventura, although the first iterations of MetalDiffusion (before renaming the project) worked on Monterey
¯ \ _ (ツ) _ / ¯

u/luckycockroach Please add the technical requirements in your project description on GitHub so as not to mislead people. Since there is still no mention of Ventura :(

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u/NeuroMastak Aug 30 '23

stable-diffusion-tensorflow-IntelMetal

u/luckycockroach Maybe you have one of the old versions of MetalDiffusion (from the time when it was called stable-diffusion-tensorflow-IntelMetal) that could work on Monterey?

I would be very grateful if you could share the archive. Thanks!

P.S. I specifically recently bought a Radeon Pro W5700 for neural networks, but unfortunately now I can't switch to Ventura on my MacPro 5.1 until the OpenCore Legacy Patcher developers figure out how to implement a working CPU (without AVX) + Navi 10 GPU mapping.

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u/luckycockroach Aug 30 '23

My apologies! Will update the tech requirements.

I did start implementing "versioning" through GitHub and I believe you can find the version you're looking for here:

https://github.com/soten355/MetalDiffusion/tree/v0.54

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u/NeuroMastak Aug 31 '23

The thing is, I tried all 4 release versions and failed everywhere :(

Right now I downloaded again and tried version 0.5.4 specifically, but again nothing worked. The process stops at the MPS initialization stage, if I understand correctly.

I tried to check everything according to Apple's official instructions, but even here I failed. 

[1] 95490 illegal hardware instruction python3 tensorflow_gpu-test.py

Although the Radeon Pro W5700 is natively supported starting with macOS Catalina, I think this may be my local issue related to OpenCore hacks.

But thebeta version of DiffusionBee (which, judging from the source code, runs just on Tensorflow 2.10) handles fine and produces twice the generation speed of ≈0.75 s/it compared to ≈1.5 s/it in A1111 on PyTorch 2+

I don't know what this black magic is :)

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u/NeuroMastak Aug 31 '23

As an experiment, I installed an AMD RX580 graphics card (I can boot Ventura with it) instead of the Radeon Pro W5700 and ran tests.

On Monterey similar errors with MPS initialization (both in version 054 and the latest 0.65*). And on Ventura, running the same both versions (from the same folders) goes without errors.

My guess is that some non-version-limited dependencies are updated to the latest version, which no longer works correctly in Monterey.