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[Bug]: Interface hangs when trying to use openvino webui with OpenSUSE + A770 #108
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Here's a readout I got after hitting ctrl+c:
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Is there an existing issue for this?
What happened?
I tried installing the openVINO Automatic1111 Webui on openSUSE Tumbleweed just to see if it would work, and it turns out, it mostly does work! I got to create an image with the prompt "Messy Room" using my cpu (an i5 13500), but when I try and switch to my GPU, an Intel Arc A770LE, the ui hangs. I've had it try to generate an image of a messy room for about 45 minutes now, and nothing.
Steps to reproduce the problem
I'm using openSUSE Tumbleweed w/ kernel 6.8.7-1-default. I installed the following packages:
-libmfx1 @23.2.2
-libva2 @2.21.0
-libigdgmml2 22.3.18
-libmfx-gen @24.1.3
-libmfx-gen1_z @24.1.3
I used pyenv to install Python 3.10.6
Followed the directions to install
Pip installed torch 2.1.0 and torchvision 0.16.0 as per the solution given in issue #81 after encountering that issue.
Switched to openVINO gpu and tried to run prompt "Messy room"
What should have happened?
And image should've generated in a few seconds.
Sysinfo
{
"Platform": "Linux-6.8.7-1-default-x86_64-with-glibc2.39",
"Python": "3.10.6",
"Version": "1.6.0",
"Commit": "e5a634da06c62d72dbdc764b16c65ef3408aa588",
"Script path": "/home/cbytes/Downloads/benchmark-launcher-cli-3.1.0-linux/stable-diffusion-webui",
"Data path": "/home/cbytes/Downloads/benchmark-launcher-cli-3.1.0-linux/stable-diffusion-webui",
"Extensions dir": "/home/cbytes/Downloads/benchmark-launcher-cli-3.1.0-linux/stable-diffusion-webui/extensions",
"Checksum": "516631b0530ed47f6ea3a2f72e7663904cadcace2e116f7e6c5780db3c3927e9",
"Commandline": [
"launch.py",
"--skip-torch-cuda-test",
"--precision",
"full",
"--no-half"
],
"Torch env info": {
"torch_version": "2.1.0+cu121",
"is_debug_build": "False",
"cuda_compiled_version": "12.1",
"gcc_version": "(SUSE Linux) 13.2.1 20240206 [revision 67ac78caf31f7cb3202177e6428a46d829b70f23]",
"clang_version": null,
"cmake_version": "version 3.29.2",
"os": "openSUSE Tumbleweed (x86_64)",
"libc_version": "glibc-2.39",
"python_version": "3.10.6 (main, May 8 2024, 04:11:57) [GCC 13.2.1 20240206 [revision 67ac78caf31f7cb3202177e6428a46d829b70f23]] (64-bit runtime)",
"python_platform": "Linux-6.8.7-1-default-x86_64-with-glibc2.39",
"is_cuda_available": "False",
"cuda_runtime_version": null,
"cuda_module_loading": "N/A",
"nvidia_driver_version": null,
"nvidia_gpu_models": null,
"cudnn_version": null,
"pip_version": "pip3",
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"torch==2.1.0",
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"torchmetrics==1.4.0",
"torchsde==0.2.5",
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"conda_packages": null,
"hip_compiled_version": "N/A",
"hip_runtime_version": "N/A",
"miopen_runtime_version": "N/A",
"caching_allocator_config": "",
"is_xnnpack_available": "True",
"cpu_info": [
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"CPU op-mode(s): 32-bit, 64-bit",
"Address sizes: 46 bits physical, 48 bits virtual",
"Byte Order: Little Endian",
"CPU(s): 20",
"On-line CPU(s) list: 0-19",
"Vendor ID: GenuineIntel",
"Model name: 13th Gen Intel(R) Core(TM) i5-13500",
"CPU family: 6",
"Model: 191",
"Thread(s) per core: 2",
"Core(s) per socket: 14",
"Socket(s): 1",
"Stepping: 2",
"CPU(s) scaling MHz: 82%",
"CPU max MHz: 4800.0000",
"CPU min MHz: 800.0000",
"BogoMIPS: 4993.00",
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"Virtualization: VT-x",
"L1d cache: 544 KiB (14 instances)",
"L1i cache: 704 KiB (14 instances)",
"L2 cache: 11.5 MiB (8 instances)",
"L3 cache: 24 MiB (1 instance)",
"NUMA node(s): 1",
"NUMA node0 CPU(s): 0-19",
"Vulnerability Gather data sampling: Not affected",
"Vulnerability Itlb multihit: Not affected",
"Vulnerability L1tf: Not affected",
"Vulnerability Mds: Not affected",
"Vulnerability Meltdown: Not affected",
"Vulnerability Mmio stale data: Not affected",
"Vulnerability Reg file data sampling: Mitigation; Clear Register File",
"Vulnerability Retbleed: Not affected",
"Vulnerability Spec rstack overflow: Not affected",
"Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl",
"Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization",
"Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S",
"Vulnerability Srbds: Not affected",
"Vulnerability Tsx async abort: Not affected"
]
},
"Exceptions": [],
"CPU": {
"model": "x86_64",
"count logical": 20,
"count physical": 14
},
"RAM": {
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"active": "4GB",
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"buffers": "2MB",
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},
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"GIT": "git",
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},
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"n_rows": -1,
"font": "",
"grid_text_active_color": "#000000",
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"save_images_before_highres_fix": false,
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"save_mask": false,
"save_mask_composite": false,
"jpeg_quality": 80,
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"outdir_img2img_samples": "outputs/img2img-images",
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"outdir_grids": "",
"outdir_txt2img_grids": "outputs/txt2img-grids",
"outdir_img2img_grids": "outputs/img2img-grids",
"outdir_save": "log/images",
"outdir_init_images": "outputs/init-images",
"save_to_dirs": true,
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"directories_filename_pattern": "[date]",
"directories_max_prompt_words": 8,
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"ESRGAN_tile_overlap": 8,
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"auto_launch_browser": "Local",
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"list_hidden_files": true,
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"hide_ldm_prints": true,
"api_enable_requests": true,
"api_forbid_local_requests": true,
"api_useragent": "",
"unload_models_when_training": false,
"pin_memory": false,
"save_optimizer_state": false,
"save_training_settings_to_txt": true,
"dataset_filename_word_regex": "",
"dataset_filename_join_string": " ",
"training_image_repeats_per_epoch": 1,
"training_write_csv_every": 500,
"training_xattention_optimizations": false,
"training_enable_tensorboard": false,
"training_tensorboard_save_images": false,
"training_tensorboard_flush_every": 120,
"sd_model_checkpoint": "v1-5-pruned-emaonly.safetensors [6ce0161689]",
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"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==2.18.1",
"nvidia-nvjitlink-cu12==12.4.127",
"nvidia-nvtx-cu12==12.1.105",
"omegaconf==2.2.3",
"open-clip-torch==2.20.0",
"opencv-python==4.9.0.80",
"openvino-telemetry==2024.1.0",
"openvino==2023.2.0",
"orjson==3.10.3",
"packaging==24.0",
"pandas==2.2.2",
"piexif==1.1.3",
"pillow==10.0.1",
"pip==24.0",
"platformdirs==4.2.1",
"pretty-errors==1.2.25",
"protobuf==3.20.0",
"psutil==5.9.5",
"pydantic==1.10.15",
"pydub==0.25.1",
"pyparsing==3.1.2",
"pysocks==1.7.1",
"python-dateutil==2.9.0.post0",
"python-multipart==0.0.9",
"pytorch-lightning==1.9.4",
"pytz==2024.1",
"pywavelets==1.6.0",
"pyyaml==6.0.1",
"realesrgan==0.3.0",
"referencing==0.35.1",
"regex==2024.4.28",
"requests==2.31.0",
"resize-right==0.0.2",
"rpds-py==0.18.1",
"safetensors==0.3.1",
"scikit-image==0.21.0",
"scipy==1.13.0",
"semantic-version==2.10.0",
"sentencepiece==0.2.0",
"setuptools==63.2.0",
"six==1.16.0",
"smmap==5.0.1",
"sniffio==1.3.1",
"soupsieve==2.5",
"starlette==0.26.1",
"sympy==1.12",
"tb-nightly==2.17.0a20240507",
"tensorboard-data-server==0.7.2",
"tifffile==2024.5.3",
"timm==0.9.2",
"tokenizers==0.13.3",
"tomesd==0.1.3",
"tomli==2.0.1",
"toolz==0.12.1",
"torch==2.1.0",
"torchdiffeq==0.2.3",
"torchmetrics==1.4.0",
"torchsde==0.2.5",
"torchvision==0.16.0",
"tqdm==4.66.4",
"trampoline==0.1.2",
"transformers==4.30.2",
"triton==2.1.0",
"typing-extensions==4.11.0",
"tzdata==2024.1",
"urllib3==2.2.1",
"uvicorn==0.29.0",
"wcwidth==0.2.13",
"websockets==11.0.3",
"werkzeug==3.0.3",
"yapf==0.40.2",
"yarl==1.9.4",
"zipp==3.18.1"
]
}
What browsers do you use to access the UI ?
Firefox
Console logs
Additional information
Forgive the directory that I installed this in, I kinda did it just to see if it worked, and it is almost there. I hope someone can help me with getting this to run on OpenSUSE Tumbleweed, i imagine its some tiny tweak.
I'm guessing that it's possibly an issue related to the version of torch/torchvision? I'll also try updating now and running the prompt again when I wake up lol.
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