lshqqytiger
commented
9 months ago OSError: [Errno 28] No space left on device
Check your disk space.
Closed R-N closed 9 months ago
lshqqytiger
commented
9 months ago OSError: [Errno 28] No space left on device
Check your disk space.
R-N
commented
9 months ago
OSError: [Errno 28] No space left on deviceCheck your disk space.
Ah sorry, must've been because I tried with other checkpoints too and it got full. Let me try again
R-N
commented
9 months ago RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 14745600 bytes.
How much memory do I need? I'm using integrated GPU, 20GB of RAM, and it's still full. The checkpoint is only 2GB (16 bit, pruned). I'll try with half floats checked. I had to use --no-half because I can't generate any image without it with default settings/args, so I thought half floats on my machine is a no-no.
R-N
commented
9 months ago Still not enough memory. Maybe I'll remove no-half and add lowvram
R-N
commented
9 months ago Still can't and this time my C partition gets full although the webui and mamba is in D. I guess it's the pagefile. I'll try freeing up space
lshqqytiger
commented
9 months ago The optimization process requires lots of RAM. You need at least 6GB of VRAM and at least 16GB of RAM, but you're sharing 20GB of RAM with integrated GPU. I recommend using optimized models that can be downloaded from huggingface.
R-N
commented
9 months ago Ok this time it just, idk, crashed? No error or anything. I watched the disk space and I'm sure none were full (lowest were at 5gb free).
R-N
commented
9 months ago The optimization process requires lots of RAM. You need at least 6GB of VRAM and at least 16GB of RAM, but you're sharing 20GB of RAM with integrated GPU. I recommend using optimized models that can be downloaded from huggingface.
Ohh, okay. That's already the minimum even with half and lowvram (if it matters)? It can't be helped then. Thank you
Checklist
What happened?
Can't optimize checkpoint. Assertion error
Steps to reproduce the problem
--no-half-vae --opt-sdp-attention --skip-torch-cuda-test --no-half --olive --use-directmlWhat should have happened?
The checkpoint is optimized
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
Sysinfo
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"D:\\stable-diffusion\\stable-diffusion-webui-directml\\modules\\call_queue.py, line 57, f", "res = list(func(*args, **kwargs))" ], [ "D:\\stable-diffusion\\stable-diffusion-webui-directml\\modules\\call_queue.py, line 36, f", "res = func(*args, **kwargs)" ], [ "D:\\stable-diffusion\\stable-diffusion-webui-directml\\modules\\ui.py, line 1759, optimize", "return optimize_sd_from_ckpt(" ], [ "D:\\stable-diffusion\\stable-diffusion-webui-directml\\modules\\sd_olive_ui.py, line 92, optimize_sd_from_ckpt", "optimize(" ], [ "D:\\stable-diffusion\\stable-diffusion-webui-directml\\modules\\sd_olive_ui.py, line 358, optimize", "assert conversion_footprint and optimizer_footprint" ] ] } ], "CPU": { "model": "AMD64 Family 23 Model 96 Stepping 1, AuthenticAMD", "count logical": 6, "count physical": 6 }, "RAM": { "total": "19GB", "used": "14GB", "free": "5GB" }, "GPU": { "model": "AMD Radeon(TM) Graphics", "total_memory": 5656576 }, "Extensions": [ { "name": "DreamArtist-sd-webui-extension", 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"create ui": 1.3503918647766113, "gradio launch": 0.2568984031677246, "add APIs": 0.010008811950683594, "app_started_callback": 0.0 } }, "Packages": [ "absl-py==2.0.0", "accelerate==0.21.0", "addict==2.4.0", "aenum==3.1.15", "aiofiles==23.2.1", "aiohttp==3.9.1", "aiosignal==1.3.1", "alembic==1.12.0", "altair==5.2.0", "antlr4-python3-runtime==4.9.3", "anyio==3.7.1", "argcomplete==2.0.0", "argon2-cffi-bindings==21.2.0", "argon2-cffi==23.1.0", "arrow==1.3.0", "asttokens==2.4.0", "astunparse==1.6.3", "async-lru==2.0.4", "async-timeout==4.0.3", "atomicwrites==1.4.1", "attrs==23.1.0", "babel==2.12.1", "backcall==0.2.0", "backports.functools-lru-cache==1.6.5", "bagit-profile==1.3.1", "bagit==1.8.1", "basicsr==1.4.2", "bbox-visualizer==0.1.0", "bcrypt==4.1.2", "beanie==1.23.6", "beautifulsoup4==4.12.2", "bleach==6.0.0", "blendmodes==2022", "blinker==1.7.0", "boltons==23.1.1", "bottle==0.12.25", "brotli==1.1.0", "cached-property==1.5.2", "cachetools==5.3.2", "cattrs==23.2.3", "certifi==2023.7.22", "cffi==1.16.0", "chardet==5.2.0", "charset-normalizer==3.2.0", "clean-fid==0.1.35", "click==8.1.3", "clip==1.0", "cmaes==0.10.0", "colorama==0.4.6", "coloredlogs==15.0.1", "colorlog==6.7.0", "comm==0.1.4", "contourpy==1.2.0", "coremltools==7.1", "cssselect2==0.7.0", "cycler==0.12.1", "datasets==2.16.1", "debugpy==1.8.0", "decorator==5.1.1", "defusedxml==0.7.1", "deprecated==1.2.0", "deprecation==2.1.0", "diffusers==0.25.0", "dill==0.3.7", "dinglehopper==0.9.4", "dnspython==2.4.2", "docker==7.0.0", "dynamicprompts==0.30.4", "einops==0.4.1", "entrypoints==0.4", "exceptiongroup==1.1.3", "executing==1.2.0", "facexlib==0.3.0", "fastapi==0.94.0", "fastjsonschema==2.18.1", "ffmpy==0.3.1", "filelock==3.13.1", "filetype==1.2.0", "filterpy==1.4.5", "flask==3.0.0", "flatbuffers==23.5.26", "fonttools==4.45.1", "fqdn==1.5.1", "frozendict==2.3.10", "frozenlist==1.4.1", "fsspec==2023.10.0", "ftfy==6.1.3", "future==0.18.3", "fvcore==0.1.5.post20221221", "gast==0.5.4", 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"jupyter-events==0.7.0", "jupyter-highlight-selected-word==0.2.0", "jupyter-lsp==2.2.0", "jupyter-nbextensions-configurator==0.6.3", "jupyter-server-terminals==0.4.4", "jupyter-server==2.7.3", "jupyter==1.0.0", "jupyterlab-pygments==0.2.2", "jupyterlab-server==2.25.0", "jupyterlab-widgets==3.0.9", "jupyterlab==4.0.6", "kamilib==0.1.13", "keras==2.15.0", "kiwisolver==1.4.5", "kornia==0.6.7", "kraken==4.3.5", "labelme==5.3.1", "lark==1.1.2", "lazy-loader==0.3", "lazy-model==0.2.0", "levenshtein==0.20.9", "libclang==16.0.6", "lightning-utilities==0.10.0", "llvmlite==0.41.1", "lmdb==1.4.1", "lpips==0.1.4", "lxml==4.9.3", "mako==1.2.4", "markdown-it-py==3.0.0", "markdown==3.5.1", "markupsafe==2.1.3", "matplotlib-inline==0.1.6", "matplotlib==3.8.2", "mdurl==0.1.2", "mediapipe==0.10.9", "memory-profiler==0.61.0", "mistune==3.0.1", "ml-dtypes==0.2.0", "motor==3.3.2", "mpmath==1.3.0", "multidict==6.0.4", "multimethod==1.3", "multiprocess==0.70.15", "natsort==8.4.0", "nbclient==0.8.0", 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"protobuf==3.20.3", "psutil==5.9.5", "pure-eval==0.2.2", "py-cpuinfo==9.0.0", "pyaml==23.9.7", "pyarrow-hotfix==0.6", "pyarrow==14.0.2", "pyasn1-modules==0.3.0", "pyasn1==0.5.1", "pycparser==2.21", "pydantic==1.10.13", "pydub==0.25.1", "pyfunctional==1.4.3", "pygments==2.16.1", "pylabel==0.1.55", "pymongo==4.6.1", "pynacl==1.5.0", "pyparsing==3.1.1", "pyqt5-qt5==5.15.2", "pyqt5-sip==12.13.0", "pyqt5==5.15.10", "pyreadline3==3.4.1", "pysocks==1.7.1", "python-bidi==0.4.2", "python-dateutil==2.8.2", "python-dotenv==1.0.0", "python-json-logger==2.0.7", "python-magic==0.4.27", "python-multipart==0.0.6", "pytorch-lightning==1.9.4", "pytz==2023.3.post1", "pywavelets==1.5.0", "pywin32==306", "pywinpty==2.0.11", "pyyaml==6.0.1", "pyzmq==25.1.1", "qtconsole==5.4.4", "qtpy==2.4.1", "rapidfuzz==2.15.2", "realesrgan==0.3.0", "referencing==0.30.2", "regex==2023.10.3", "reportlab==4.0.8", "requests-oauthlib==1.3.1", "requests-unixsocket==0.3.0", "requests==2.31.0", "resize-right==0.0.2", "rfc3339-validator==0.1.4", "rfc3986-validator==0.1.1", "rich==13.7.0", "rpds-py==0.10.3", "rsa==4.9", "safetensors==0.3.1", "scikit-image==0.21.0", "scikit-learn==1.3.1", "scipy==1.11.3", "seaborn==0.13.0", "semantic-version==2.10.0", "send2trash==1.8.2", "sentencepiece==0.1.99", "setuptools==68.2.2", "shapely==1.8.5", "sip==6.7.11", "six==1.16.0", "smmap==5.0.1", "sniffio==1.3.0", "sounddevice==0.4.6", "soupsieve==2.5", "sparklines==0.4.2", "sqlalchemy==2.0.21", "stack-data==0.6.2", "starlette==0.26.1", "statsmodels==0.14.0", "svglib==1.5.1", "sympy==1.12", "tabulate==0.9.0", "tb-nightly==2.16.0a20240101", "tensorboard-data-server==0.7.2", "tensorboard==2.15.1", "tensorflow-estimator==2.15.0", "tensorflow-intel==2.15.0", "tensorflow-io-gcs-filesystem==0.31.0", "tensorflow==2.15.0", "termcolor==1.1.0", "terminado==0.17.0", "tf-keras-nightly==2.16.0.dev2023123010", "thop==0.1.1.post2209072238", "threadpoolctl==3.2.0", "tifffile==2023.9.26", "timm==0.9.2", "tinycss2==1.2.1", "tokenizers==0.13.3", "tomesd==0.1.3", "toml==0.10.2", "tomli==2.0.1", "toolz==0.12.0", "torch-directml==0.1.13.1.dev230413", "torch==1.13.1", "torchdiffeq==0.2.3", "torchmetrics==0.10.3", "torchsde==0.2.6", "torchvision==0.14.1", "tornado==6.3.3", "tqdm==4.66.1", "traitlets==5.10.1", "trampoline==0.1.2", "transformers==4.30.2", "types-python-dateutil==2.8.19.14", "typing-extensions==4.8.0", "typing-utils==0.1.0", "tzdata==2023.3", "ultralytics==8.0.232", "unidecode==1.3.4", "uniseg==0.7.2", "uri-template==1.3.0", "urllib3==2.0.5", "userpath==1.8.0", "uvicorn==0.24.0.post1", "wcwidth==0.2.12", "webcolors==1.13", "webencodings==0.5.1", "websocket-client==1.6.3", "websockets==11.0.3", "werkzeug==3.0.1", "wheel==0.41.2", "widgetsnbextension==4.0.9", "win-inet-pton==1.1.0", "wrapt==1.14.1", "xgboost==2.0.2", "xxhash==3.4.1", "yacs==0.1.8", "yapf==0.40.2", "yarl==1.9.4", "yolosplitter==0.4.5", "zipp==3.17.0" ] } ```Console logs
Console logs
``` (sdwebui) D:\stable-diffusion\stable-diffusion-webui-directml>webui-user2 fatal: No names found, cannot describe anything. Python 3.10.0 | packaged by conda-forge | (default, Nov 20 2021, 02:18:13) [MSC v.1916 64 bit (AMD64)] Version: 1.7.0 Commit hash: cfa6e40e6d7e290b52940253bf705f282477b890 Launching Web UI with arguments: --no-half-vae --opt-sdp-attention --skip-torch-cuda-test --no-half --olive --use-directml 2024-01-02 02:51:17.143597: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. WARNING:tensorflow:From C:\Users\Linearch\AppData\Roaming\Python\Python310\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. no module 'xformers'. Processing without... No SDP backend available, likely because you are running in pytorch versions < 2.0. In fact, you are using PyTorch 1.13.1+cpu. You might want to consider upgrading. no module 'xformers'. Processing without... --olive was integrated into --onnx. Use --onnx instead. No module 'xformers'. Proceeding without it. ============================================================================== You are running torch 1.13.1+cpu. The program is tested to work with torch 2.0.0. To reinstall the desired version, run with commandline flag --reinstall-torch. Beware that this will cause a lot of large files to be downloaded, as well as there are reports of issues with training tab on the latest version. Use --skip-version-check commandline argument to disable this check. ============================================================================== *** "Disable all extensions" option was set, will not load any extensions *** Model oMix_pruned loaded. Applying attention optimization: InvokeAI... done. D:\stable-diffusion\stable-diffusion-webui-directml\modules\ui.py:1326: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead. with gr.Row().style(equal_height=False): D:\stable-diffusion\stable-diffusion-webui-directml\modules\ui.py:1448: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead. with gr.Row().style(equal_height=False): Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Startup time: 29.1s (prepare environment: 0.4s, import torch: 5.0s, import gradio: 3.5s, setup paths: 16.1s, initialize shared: 1.3s, other imports: 0.3s, setup codeformer: 0.2s, scripts list_optimizers: 0.5s, create ui: 1.4s, gradio launch: 0.3s). C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\transformers\models\clip\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn( Optimizing safety_checker [2024-01-02 02:52:38,140] [INFO] [engine.py:179:setup_accelerators] Running workflow on accelerator specs: gpu-dml [2024-01-02 02:52:38,184] [INFO] [engine.py:929:_run_pass] Running pass convert:OnnxConversion C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\transformers\models\clip\modeling_clip.py:284: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if attn_weights.size() != (bsz * self.num_heads, tgt_len, src_len): C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\transformers\models\clip\modeling_clip.py:324: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if attn_output.size() != (bsz * self.num_heads, tgt_len, self.head_dim): [2024-01-02 02:53:04,592] [INFO] [engine.py:929:_run_pass] Running pass optimize:OrtTransformersOptimization [2024-01-02 02:53:43,681] [INFO] [footprint.py:183:create_pareto_frontier] pareto frontier points: 1_OrtTransformersOptimization-0-1f94385ea9940c6a3e4cf02b43af9d6b { "latency-avg": 527.13176 } [2024-01-02 02:53:43,681] [INFO] [engine.py:610:create_pareto_frontier_footprints] Output all 1 models [2024-01-02 02:53:43,682] [INFO] [engine.py:357:run] Run history for gpu-dml: [2024-01-02 02:53:43,691] [INFO] [engine.py:634:dump_run_history] run history: +------------------------------------------------------------------------------------+------------------------------------------------------------------------------------+-----------------------------+----------------+----------------------------+ | model_id | parent_model_id | from_pass | duration_sec | metrics | +====================================================================================+====================================================================================+=============================+================+============================+ | 0bc47fe1d38bbc129af422adee1d5d94 | | | | | +------------------------------------------------------------------------------------+------------------------------------------------------------------------------------+-----------------------------+----------------+----------------------------+ | 0_OnnxConversion-0bc47fe1d38bbc129af422adee1d5d94-16f2a37f9cd543024ce55445ffe26e2b | 0bc47fe1d38bbc129af422adee1d5d94 | OnnxConversion | 26.3953 | | +------------------------------------------------------------------------------------+------------------------------------------------------------------------------------+-----------------------------+----------------+----------------------------+ | 1_OrtTransformersOptimization-0-1f94385ea9940c6a3e4cf02b43af9d6b | 0_OnnxConversion-0bc47fe1d38bbc129af422adee1d5d94-16f2a37f9cd543024ce55445ffe26e2b | OrtTransformersOptimization | 19.5134 | { | | | | | | "latency-avg": 527.13176 | | | | | | } | +------------------------------------------------------------------------------------+------------------------------------------------------------------------------------+-----------------------------+----------------+----------------------------+ [2024-01-02 02:53:43,692] [INFO] [engine.py:372:run] No packaging config provided, skip packaging artifacts Optimized safety_checker Optimizing text_encoder [2024-01-02 02:53:43,715] [INFO] [engine.py:179:setup_accelerators] Running workflow on accelerator specs: gpu-dml [2024-01-02 02:53:43,745] [INFO] [engine.py:929:_run_pass] Running pass convert:OnnxConversion D:\stable-diffusion\stable-diffusion-webui-directml\modules\dml\hijack\transformers.py:13: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. min = torch.tensor(torch.finfo(dtype).min, device="cpu") C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\transformers\models\clip\modeling_clip.py:292: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if causal_attention_mask.size() != (bsz, 1, tgt_len, src_len): [2024-01-02 02:53:50,882] [ERROR] [engine.py:1002:_run_pass] Pass run failed. Traceback (most recent call last): File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\olive\engine\engine.py", line 990, in _run_pass output_model_config = host.run_pass(p, input_model_config, data_root, output_model_path, pass_search_point) File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\olive\systems\local.py", line 32, in run_pass output_model = the_pass.run(model, data_root, output_model_path, point) File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\olive\passes\olive_pass.py", line 371, in run output_model = self._run_for_config(model, data_root, config, output_model_path) File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\olive\passes\onnx\conversion.py", line 121, in _run_for_config return self._convert_model_on_device(model, data_root, config, output_model_path, device, torch_dtype) File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\olive\passes\onnx\conversion.py", line 343, in _convert_model_on_device converted_onnx_model = OnnxConversion._export_pytorch_model( File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\olive\passes\onnx\conversion.py", line 216, in _export_pytorch_model torch.onnx.export( File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\torch\onnx\utils.py", line 504, in export _export( File "C:\Users\Linearch\.conda\envs\sdwebui\lib\site-packages\torch\onnx\utils.py", line 1605, in _export opened_file.write(proto) OSError: [Errno 28] No space left on device [2024-01-02 02:53:50,931] [WARNING] [engine.py:912:_run_passes] Skipping evaluation as model was pruned [2024-01-02 02:53:50,932] [INFO] [engine.py:610:create_pareto_frontier_footprints] Output all 0 models [2024-01-02 02:53:50,934] [INFO] [engine.py:357:run] Run history for gpu-dml: [2024-01-02 02:53:50,934] [INFO] [engine.py:634:dump_run_history] run history: +------------------------------------------------------------------------------------+----------------------------------+----------------+----------------+-----------+ | model_id | parent_model_id | from_pass | duration_sec | metrics | +====================================================================================+==================================+================+================+===========+ | 34c28b143af5f334cba9e8f3bfaf9bc8 | | | | | +------------------------------------------------------------------------------------+----------------------------------+----------------+----------------+-----------+ | 2_OnnxConversion-34c28b143af5f334cba9e8f3bfaf9bc8-16f2a37f9cd543024ce55445ffe26e2b | 34c28b143af5f334cba9e8f3bfaf9bc8 | OnnxConversion | 7.17821 | | +------------------------------------------------------------------------------------+----------------------------------+----------------+----------------+-----------+ [2024-01-02 02:53:50,936] [INFO] [engine.py:372:run] No packaging config provided, skip packaging artifacts *** Error completing request *** Arguments: ('oMix_pruned.safetensors', '', 'vae', 'oMix_pruned', 'oMix_pruned', 'runwayml/stable-diffusion-v1-5', '', 'vae', 'stable-diffusion-v1-5', 'stable-diffusion-v1-5', False, False, False, False, False, True, True, True, True, True, 'euler', False, 512, False, '', '', '') {} Traceback (most recent call last): File "D:\stable-diffusion\stable-diffusion-webui-directml\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "D:\stable-diffusion\stable-diffusion-webui-directml\modules\call_queue.py", line 36, in f res = func(*args, **kwargs) File "D:\stable-diffusion\stable-diffusion-webui-directml\modules\ui.py", line 1759, in optimize return optimize_sd_from_ckpt( File "D:\stable-diffusion\stable-diffusion-webui-directml\modules\sd_olive_ui.py", line 92, in optimize_sd_from_ckpt optimize( File "D:\stable-diffusion\stable-diffusion-webui-directml\modules\sd_olive_ui.py", line 358, in optimize assert conversion_footprint and optimizer_footprint AssertionError --- ```Additional information
274 is similar but it's SDXL so idk