UR error during ComfyUI's tutorial with Stable Diffusion model on Ubuntu with TigerLake-H GT1 #781
Comments
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@ValentinaGalataTNG: |
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.. and: Are u really using the iGPU of the processor? |
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Hi @RogerWeihrauch, Thanks for your reply!
No, I have not. According to the Intel Extension for PyTorch website, the supported Python versions are 3.9, 3.10, 3.11, 3.12. I went with the latest, i.e., 3.12, since this is also the recommended version for ComfyUI (see here):
Regarding your second comment:
That's a good point.... When running the small Python script below with setting import torch
torch.manual_seed(0)
x = torch.rand(47000, 47000, dtype=torch.float32, device='xpu')If I use torch.xpu.device_count()
# 1
torch.xpu.get_device_properties()
# _XpuDeviceProperties(name='Intel(R) UHD Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', driver_version='1.3.29735+27', total_memory=29456MB, max_compute_units=32, gpu_eu_count=32, gpu_subslice_count=2, max_work_group_size=512, max_num_sub_groups=64, sub_group_sizes=[8 16 32], has_fp16=1, has_fp64=0, has_atomic64=1)
torch.xpu.get_device_capability()
# {'driver_version': '1.3.29735+27', 'gpu_eu_count': 32, 'gpu_subslice_count': 2, 'has_atomic64': True, 'has_bfloat16_conversions': False, 'has_fp16': True, 'has_fp64': False, 'has_subgroup_2d_block_io': False, 'has_subgroup_matrix_multiply_accumulate': False, 'has_subgroup_matrix_multiply_accumulate_tensor_float32': False, 'max_compute_units': 32, 'max_num_sub_groups': 64, 'max_work_group_size': 512, 'name': 'Intel(R) UHD Graphics', 'platform_name': 'Intel(R) oneAPI Unified Runtime over Level-Zero', 'sub_group_sizes': [8, 16, 32], 'total_memory': 30887301120, 'type': 'gpu', 'vendor': 'Intel(R) Corporation', 'version': '12.0.0'}So, it does seem to see the GPU and the available memory is 30 Gb which is the size of my RAM. I am suspecting that my GPU is a GPU without its own memory which would explain the memory allocation. I have not been able to find the official Intel documentation on this, but have read some people saying that on StackOverflow. I have not much experience working with GPUs: would that explain the problems with ComfyUI? Obviously, the GPU is there and can be used, as the small Python script above using |
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Hi @ValentinaGalataTNG
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Maybe also an update may help by: git pull.
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Hi @RogerWeihrauch, Thanks again for your suggestions. ✔ I did a
Yes, I am quite sure. I use a single Python venv to install ComfyUI dependencies and intel-extension. See also my notes below.
I removed the previously created venv and created a new one with the following modifications:
# python version
pyenv install 3.11
pyenv local 3.11
# create virtual env
python -m venv comfyui-venv
source comfyui-venv/bin/activate
# python version check
python --version # Python 3.11.11
which python # ${PWD}/comfyui-venv/bin/python
# update pip
pip install --upgrade pip
# install ComfyUI requirements
pip install -r requirements.txt
# https://pytorch-extension.intel.com/installation?platform=gpu&version=v2.5.10%20xpu&os=linux/wsl2&package=pip
python -m pip install torch==2.5.1+cxx11.abi torchvision==0.20.1+cxx11.abi torchaudio==2.5.1+cxx11.abi intel-extension-for-pytorch==2.5.10+xpu oneccl_bind_pt==2.5.0+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
# check package versions installed in last step
pip list
# truncated output
# Package Version
# --------------------------- ----------------
# intel_extension_for_pytorch 2.5.10+xpu
# oneccl-bind-pt 2.5.0+xpu
# torch 2.5.1+cxx11.abi
# torchaudio 2.5.1+cxx11.abi
# torchvision 0.20.1+cxx11.abiWith this venv still being activated, I ran python main.pybut still got the same error. 🫤 |
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@ValentinaGalataTNG:
Definite Guide to setup CoomfyUI for INTEL ARC A770 GPU:
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@ValentinaGalataTNG:
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@RogerWeihrauch, thank you! If I remember correctly, I also tried to set lower values for the image dimensions without much success. |
Describe the bug
Hello, 👋
When trying out ComfyUI's tutorial with the Stable Diffusion model, I get the error
I found GitHub issues related to the problem of allocating more than 4Gb (e.g., #325). So, I also tried setting
but this has not changed anything.
Without setting that environment variable I had out-of-memory issues for the script below. When I set it, the out-of-memory issue is gone. So, I assume the initial problem and the reported
UR errorare not related to this.Also, monitoring the GPU did not reveal anything special: I can see that the Python process uses it before the error appears, but that's it.
I have searched for similar issues and could not find anything specific except for #325. But, as said above, it does not seem to be related to the memory allocation issue.
Used setup
3.12v0.0.2-736-g8d88bfafAfter cloning the ComfyUI repository:
How to reproduce
Logs
Versions
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