BasicGearwheel
commented
9 months ago venv "F:\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Version: v1.6.0-2-g4afaaf8a
Commit hash: 4afaaf8a020c1df457bcf7250cb1c7f609699fa7
loading WD14-tagger reqs from F:\stable-diffusion-webui\extensions\stable-diffusion-webui-wd14-tagger\requirements.txt
Checking WD14-tagger requirements.
Launching Web UI with arguments: --autolaunch --medvram-sdxl --xformers --additional-device-ids cpu:0
2023-12-03 12:14:52.629190: 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 F:\stable-diffusion-webui\venv\lib\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.
[AddNet] Updating model hashes...
0it [00:00, ?it/s]
[AddNet] Updating model hashes...
0it [00:00, ?it/s]
dirname: F:\stable-diffusion-webui\localizations
localizations: {'zh-Hans (Stable) [vladmandic]': 'F:\stable-diffusion-webui\extensions\stable-diffusion-webui-localization-zh_Hans\localizations\zh-Hans (Stable) [vladmandic].json', 'zh-Hans (Stable)': 'F:\stable-diffusion-webui\extensions\stable-diffusion-webui-localization-zh_Hans\localizations\zh-Hans (Stable).json', 'zh-Hans (Testing) [vladmandic]': 'F:\stable-diffusion-webui\extensions\stable-diffusion-webui-localization-zh_Hans\localizations\zh-Hans (Testing) [vladmandic].json', 'zh-Hans (Testing)': 'F:\stable-diffusion-webui\extensions\stable-diffusion-webui-localization-zh_Hans\localizations\zh-Hans (Testing).json'}
2023-12-03 12:15:30,912 - ControlNet - INFO - ControlNet v1.1.409
ControlNet preprocessor location: F:\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2023-12-03 12:15:31,272 - ControlNet - INFO - ControlNet v1.1.409
== WD14 tagger /cpu:0, uname_result(system='Windows', node='DESKTOP-F7IDF0A', release='10', version='10.0.19045', machine='AMD64') ==
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
Loading weights [cc6cb27103] from F:\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.ckpt
Creating model from config: F:\stable-diffusion-webui\configs\v1-inference.yaml
Applying attention optimization: xformers... done.
Model loaded in 18.6s (load weights from disk: 6.2s, create model: 1.4s, apply weights to model: 10.1s, apply half(): 0.3s, move model to device: 0.1s, load textual inversion embeddings: 0.2s, calculate empty prompt: 0.3s).
F:\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\metadata_editor.py:399: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
with gr.Row().style(equal_height=False):
F:\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\metadata_editor.py:521: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
cover_image = gr.Image(
Scanning <DirEntry 'wd14-convnext.v2'> as onnx model
Scanning <DirEntry 'wd14-swinv2-v1'> as onnx model
Scanning <DirEntry 'wd14-vit.v2'> as onnx model
Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True in launch().
[Lobe]: Initializing Lobe
Startup time: 87.4s (prepare environment: 15.4s, import torch: 28.7s, import gradio: 2.1s, setup paths: 2.0s, initialize shared: 8.6s, other imports: 1.4s, setup codeformer: 0.3s, load scripts: 7.5s, create ui: 20.4s, gradio launch: 0.9s, add APIs: 0.1s).
FP16 has been disabled because your GPU does not support it.
Exporting v1-5-pruned-emaonly to TensorRT
{'sample': [(1, 4, 64, 64), (2, 4, 64, 64), (8, 4, 96, 96)], 'timesteps': [(1,), (2,), (8,)], 'encoder_hidden_states': [(1, 77, 768), (2, 77, 768), (8, 154, 768)]}
Building TensorRT engine... This can take a while, please check the progress in the terminal.
Building TensorRT engine for F:\stable-diffusion-webui\models\Unet-onnx\v1-5-pruned-emaonly_81761151.onnx: F:\stable-diffusion-webui\models\Unet-trt\v1-5-pruned-emaonly_81761151_cc61_sample=1x4x64x64+2x4x64x64+8x4x96x96-timesteps=1+2+8-encoder_hidden_states=1x77x768+2x77x768+8x154x768.trt
[libprotobuf WARNING **\externals\protobuf\3.0.0\src\google\protobuf\io\coded_stream.cc:604] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING **\externals\protobuf\3.0.0\src\google\protobuf\io\coded_stream.cc:81] The total number of bytes read was 1721604346
[libprotobuf WARNING **\externals\protobuf\3.0.0\src\google\protobuf\io\coded_stream.cc:604] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING **\externals\protobuf\3.0.0\src\google\protobuf\io\coded_stream.cc:81] The total number of bytes read was 1721604346
[W] 'colored' module is not installed, will not use colors when logging. To enable colors, please install the 'colored' module: python3 -m pip install colored
[I] Loading tactic timing cache from F:\stable-diffusion-webui\extensions\Stable-Diffusion-WebUI-TensorRT\timing_caches\timing_cache_win_cc61.cache
WARNING:root:Timing cache file F:\stable-diffusion-webui\extensions\Stable-Diffusion-WebUI-TensorRT\timing_caches\timing_cache_win_cc61.cache not found, falling back to empty timing cache.
[I] Building engine with configuration:
Flags | [REFIT, TF32]
Engine Capability | EngineCapability.DEFAULT
Memory Pools | [WORKSPACE: 8117.31 MiB, TACTIC_DRAM: 8117.31 MiB]
Tactic Sources | [CUBLAS, CUDNN, EDGE_MASK_CONVOLUTIONS, JIT_CONVOLUTIONS]
Profiling Verbosity | ProfilingVerbosity.LAYER_NAMES_ONLY
Preview Features | [FASTER_DYNAMIC_SHAPES_0805, DISABLE_EXTERNAL_TACTIC_SOURCES_FOR_CORE_0805]
Building engine: 50%|█████████████████████████████████▌ | 3/6 [00:00<00:00, 6.14it/s]
socir9
Just like this, the training process stopped.My graphics card/GPU is P104-100.