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[Bug]: Cant install on Fedora 42 with RX 9070 XT #612

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[Bug]: Cant install on Fedora 42 with RX 9070 XT#612
@jackra1n

Description

@jackra1n
jackra1n
opened on Jun 16, 2025

Checklist

  • The issue exists after disabling all extensions
  • The issue exists on a clean installation of webui
  • The issue is caused by an extension, but I believe it is caused by a bug in the webui
  • The issue exists in the current version of the webui
  • The issue has not been reported before recently
  • The issue has been reported before but has not been fixed yet

What happened?

Installation always fails no matter what configuration i try

Steps to reproduce the problem

./webui.sh

What should have happened?

web UI should install and start

What browsers do you use to access the UI ?

No response

Sysinfo

doesnt work

Console logs

################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye), Fedora 34+ and openSUSE Leap 15.4 or newer.
################################################################

################################################################
Running on jackra1n user
################################################################

################################################################
Repo already cloned, using it as install directory
################################################################

################################################################
Create and activate python venv
################################################################
Requirement already satisfied: pip in ./venv/lib64/python3.11/site-packages (24.3.1)
Collecting pip
  Using cached pip-25.1.1-py3-none-any.whl.metadata (3.6 kB)
Using cached pip-25.1.1-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 24.3.1
    Uninstalling pip-24.3.1:
      Successfully uninstalled pip-24.3.1
Successfully installed pip-25.1.1

################################################################
Launching launch.py...
################################################################
glibc version is 2.41
Check TCMalloc: libtcmalloc_minimal.so.4
libtcmalloc_minimal.so.4 is linked with libc.so,execute LD_PRELOAD=/lib64/libtcmalloc_minimal.so.4
Python 3.11.13 (main, Jun  4 2025, 00:00:00) [GCC 15.1.1 20250521 (Red Hat 15.1.1-2)]
Version: v1.10.1-amd-37-g721f6391
Commit hash: 721f6391993ac63fd246603735e2eb2e719ffac0
Installing torch and torchvision
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121
Collecting torch==2.3.1
  Using cached https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp311-cp311-linux_x86_64.whl (781.0 MB)
Collecting torchvision
  Using cached torchvision-0.22.1-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (6.1 kB)
Collecting filelock (from torch==2.3.1)
  Using cached filelock-3.18.0-py3-none-any.whl.metadata (2.9 kB)
Collecting typing-extensions>=4.8.0 (from torch==2.3.1)
  Using cached typing_extensions-4.14.0-py3-none-any.whl.metadata (3.0 kB)
Collecting sympy (from torch==2.3.1)
  Using cached sympy-1.14.0-py3-none-any.whl.metadata (12 kB)
Collecting networkx (from torch==2.3.1)
  Using cached networkx-3.5-py3-none-any.whl.metadata (6.3 kB)
Collecting jinja2 (from torch==2.3.1)
  Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
Collecting fsspec (from torch==2.3.1)
  Using cached fsspec-2025.5.1-py3-none-any.whl.metadata (11 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
Collecting nvidia-nccl-cu12==2.20.5 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)
Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/cu121/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
Collecting triton==2.3.1 (from torch==2.3.1)
  Using cached https://download.pytorch.org/whl/triton-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (168.1 MB)
Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.3.1)
  Using cached nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting numpy (from torchvision)
  Using cached numpy-2.3.0-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (62 kB)
INFO: pip is looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while.
Collecting torchvision
  Using cached torchvision-0.22.0-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (6.1 kB)
  Using cached torchvision-0.21.0-cp311-cp311-manylinux1_x86_64.whl.metadata (6.1 kB)
  Using cached https://download.pytorch.org/whl/cu121/torchvision-0.20.1%2Bcu121-cp311-cp311-linux_x86_64.whl (7.3 MB)
  Using cached torchvision-0.20.1-cp311-cp311-manylinux1_x86_64.whl.metadata (6.1 kB)
  Using cached https://download.pytorch.org/whl/cu121/torchvision-0.20.0%2Bcu121-cp311-cp311-linux_x86_64.whl (7.3 MB)
  Using cached torchvision-0.20.0-cp311-cp311-manylinux1_x86_64.whl.metadata (6.1 kB)
  Using cached https://download.pytorch.org/whl/cu121/torchvision-0.19.1%2Bcu121-cp311-cp311-linux_x86_64.whl (7.1 MB)
INFO: pip is still looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while.
  Using cached torchvision-0.19.1-cp311-cp311-manylinux1_x86_64.whl.metadata (6.0 kB)
  Using cached https://download.pytorch.org/whl/cu121/torchvision-0.19.0%2Bcu121-cp311-cp311-linux_x86_64.whl (7.1 MB)
  Using cached torchvision-0.19.0-cp311-cp311-manylinux1_x86_64.whl.metadata (6.0 kB)
  Using cached https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp311-cp311-linux_x86_64.whl (7.0 MB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
  Using cached pillow-11.2.1-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (8.9 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.3.1)
  Using cached MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy->torch==2.3.1)
  Using cached https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
Using cached pillow-11.2.1-cp311-cp311-manylinux_2_28_x86_64.whl (4.6 MB)
Using cached typing_extensions-4.14.0-py3-none-any.whl (43 kB)
Using cached filelock-3.18.0-py3-none-any.whl (16 kB)
Using cached fsspec-2025.5.1-py3-none-any.whl (199 kB)
Using cached jinja2-3.1.6-py3-none-any.whl (134 kB)
Using cached MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23 kB)
Using cached networkx-3.5-py3-none-any.whl (2.0 MB)
Using cached numpy-2.3.0-cp311-cp311-manylinux_2_28_x86_64.whl (16.9 MB)
Using cached nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (39.7 MB)
Using cached sympy-1.14.0-py3-none-any.whl (6.3 MB)
Installing collected packages: mpmath, typing-extensions, sympy, pillow, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, MarkupSafe, fsspec, filelock, triton, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch, torchvision
Successfully installed MarkupSafe-3.0.2 filelock-3.18.0 fsspec-2025.5.1 jinja2-3.1.6 mpmath-1.3.0 networkx-3.5 numpy-2.3.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.9.86 nvidia-nvtx-cu12-12.1.105 pillow-11.2.1 sympy-1.14.0 torch-2.3.1+cu121 torchvision-0.18.1+cu121 triton-2.3.1 typing-extensions-4.14.0
Traceback (most recent call last):
  File "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/launch.py", line 48, in <module>
    main()
  File "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/launch.py", line 39, in main
    prepare_environment()
  File "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/modules/launch_utils.py", line 622, in prepare_environment
    raise RuntimeError(
RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

Additional information

I tried installing different version of stable diffusion web UI for like 2 hours but it doesnt seem to work. I was able to install and run ComfyUI in like 3 minutes tho.

Im on Fedora 42, RX 9070 XT, have ROCm 6.3 installed.

I also tried ./webui.sh --use-directml on this repo but then i get:

RuntimeError: Couldn't install onnxruntime-directml.
Command: "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/venv/bin/python" -m pip install onnxruntime-directml --prefer-binary
Error code: 1
stderr: ERROR: Could not find a version that satisfies the requirement onnxruntime-directml (from versions: none)
ERROR: No matching distribution found for onnxruntime-directml

not sure what to do.
tried original AUTOMATIC1111/stable-diffusion-webui, also stable-diffusion-webui-amdgpu-forge and now this stable-diffusion-webui-amdgpu.
tried different python versions, 3.10, 3.11, 3.12.
tried installing pytorch with pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.3 before running webui.sh

trying to run ./webui.sh --use-zluda gives me this:

################################################################
Launching launch.py...
################################################################
glibc version is 2.41
Check TCMalloc: libtcmalloc_minimal.so.4
libtcmalloc_minimal.so.4 is linked with libc.so,execute LD_PRELOAD=/lib64/libtcmalloc_minimal.so.4
WARNING: ZLUDA works best with SD.Next. Please consider migrating to SD.Next.
Python 3.11.13 (main, Jun  4 2025, 00:00:00) [GCC 15.1.1 20250521 (Red Hat 15.1.1-2)]
Version: v1.10.1-amd-37-g721f6391
Commit hash: 721f6391993ac63fd246603735e2eb2e719ffac0
ROCm: agents=['gfx1201']
ROCm: version=None, using agent gfx1201
Traceback (most recent call last):
  File "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/launch.py", line 48, in <module>
    main()
  File "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/launch.py", line 39, in main
    prepare_environment()
  File "/home/jackra1n/dev/archives/stable-diffusion-webui-amdgpu/modules/launch_utils.py", line 622, in prepare_environment
    raise RuntimeError(
RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

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