Stable Diffusion on AMD RDNA3

• rocm-build

  7 168 0.0 C++

  build scripts for ROCm

Short answer no. Long answer "in theory" yes. I tried this [1] but gave up as building rocm + deps takes up to 6h :/ Official statement [2]

[1] https://github.com/xuhuisheng/rocm-build

• ROCm

  198 3,637 0.0 Python

  Discontinued AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]

  

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• arch4edu

  2 573 10.0 Shell

  Arch Linux Repository for Education

  

For anyone on Arch, there is a third-party repository called arch4edu[0] that provides up to date builds of ROCm and its dependencies. On my iGPU, OpenCL sometimes work, sometimes crashes. Even finding a list of supported hardware is close to impossible. The whole situation is just ridiculous and makes AMD look bad.

[0] https://github.com/arch4edu/arch4edu

• HIPIFY

  11 318 0.0 C++

  Discontinued HIPIFY: Convert CUDA to Portable C++ Code [Moved to: https://github.com/ROCm/HIPIFY] (by ROCm-Developer-Tools)

  

> Thus, the idea is that through typically negligible effort porting to HiP, your code becomes vendor-independent.

Here, the big AMD mistake was to rename those function prefixes in the first place. It's a mistake that they could have avoided...

What a lot of SW codebases did to support AMD (see PyTorch code notably): codebase is still CUDA, have the conversion pass to HIP done at build time.

See https://github.com/ROCm-Developer-Tools/HIPIFY/blob/amd-stag... for the Perl script to do it.

Then comes the problem of AMD not supporting ROCm HIP on most of their hardware or user base.

On Windows, the ROCm HIP SDK is private and only available under NDA. This means that while you can use Blender w/ HIP on Windows, the Blender builds that you compile yourself will not be able to use ROCm HIP.

On Linux, the supported GPUs are few and far between, Vega20 onwards are supported today. APUs, RDNA1, and lower end RDNA2 w/o unsupported hacks (6700 XT and below) are excluded.

• stable-diffusion-webui

  2,808 129,975 9.9 Python

  Stable Diffusion web UI

Here are a list of potential issues https://github.com/AUTOMATIC1111/stable-diffusion-webui/disc...

That said we (Nod.ai team) will add support for xformers soon so you can opt in for xformers anyway.

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