can not load checkpoints

KawaNae commented 1 year ago

Describe the bug

When I tried to load the safetensors file into models/checkpoint, I encountered the following error and could not load it. These safetensors files were used in the stable-diffusion web UI of automatic1111 version.

models/checkpointにsafetensorsファイルを配置して読み込みをしたところ以下のようなエラーが出たため読み込むことができませんでした。これらのsafetensorsファイルはautomatic1111版のstable-diffusion web uiで使用していたものです。

Reproduction

I placed the safetensors file in models/checkpoint このようにmodels/checkpointにsafetensorsファイルを配置し

and when selecting the added checkpoint from the options displayed on the web UI web UI上で表示された選択肢から追加したcheckpointを選択すると

the following message will be shown このようなメッセージが表示されます

Expected behavior

I expected Radiata to switch to the selected checkpoint when I chose it from the options for adding a checkpoint. 期待した動きはweb UI上で表示された選択肢から追加したcheckpointを選択したらそのcheckpointに切り替わる動作です。

System Info

OS:Windows11 CPU:AMD Ryzen 9 3900X GPU:Nvidia RTX3070ti

python version: 3.10.10 COMMANDLINE_ARGS: none

pip list result Package Version

accelerate 0.18.0 aiofiles 23.1.0 aiohttp 3.8.4 aiosignal 1.3.1 altair 4.2.2 antlr4-python3-runtime 4.9.3 anyio 3.6.2 async-timeout 4.0.2 attrs 23.1.0 certifi 2023.5.7 charset-normalizer 3.1.0 click 8.1.3 colorama 0.4.6 colored 1.4.4 coloredlogs 15.0.1 contourpy 1.0.7 cuda-python 11.8.1 cycler 0.11.0 Cython 0.29.34 diffusers 0.16.1 entrypoints 0.4 fastapi 0.95.1 ffmpy 0.3.0 filelock 3.12.0 flatbuffers 23.3.3 fonttools 4.39.3 frozenlist 1.3.3 fsspec 2023.5.0 gradio 3.28.1 gradio_client 0.2.0 h11 0.14.0 httpcore 0.17.0 httpx 0.24.0 huggingface-hub 0.14.1 humanfriendly 10.0 idna 3.4 importlib-metadata 6.6.0 Jinja2 3.1.2 jsonschema 4.17.3 kiwisolver 1.4.4 linkify-it-py 2.0.2 markdown-it-py 2.2.0 MarkupSafe 2.1.2 matplotlib 3.7.1 mdit-py-plugins 0.3.3 mdurl 0.1.2 mpmath 1.3.0 multidict 6.0.4 mypy-extensions 1.0.0 numpy 1.24.3 omegaconf 2.3.0 onnx 1.12.0 onnx-graphsurgeon 0.3.25 onnxruntime 1.13.1 orjson 3.8.12 packaging 23.1 pandas 2.0.1 Pillow 9.5.0 pip 22.3.1 polygraphy 0.43.1 protobuf 3.20.1 psutil 5.9.5 pydantic 1.10.7 pydub 0.25.1 pyparsing 3.0.9 pyre-extensions 0.0.23 pyreadline3 3.4.1 pyrsistent 0.19.3 python-dateutil 2.8.2 python-multipart 0.0.6 pytz 2023.3 pywin32 306 PyYAML 6.0 regex 2023.5.5 requests 2.30.0 safetensors 0.3.1 semantic-version 2.10.0 sentencepiece 0.1.99 setuptools 65.5.0 six 1.16.0 sniffio 1.3.0 starlette 0.26.1 sympy 1.11.1 tensorrt 8.5.3.1 tokenizers 0.13.3 toml 0.10.2 toolz 0.12.0 torch 1.13.1+cu117 torchvision 0.14.1+cu117 tqdm 4.65.0 transformers 4.28.1 typing_extensions 4.5.0 typing-inspect 0.8.0 tzdata 2023.3 uc-micro-py 1.0.2 urllib3 2.0.2 uvicorn 0.22.0 websockets 11.0.3 xformers 0.0.16 yarl 1.9.2 zipp 3.15.0

Additional context

No response

Validations

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ddPn08 commented 1 year ago

f550465 で修正しました。ご確認ください。

Fixed in f550465. please confirm.

KawaNae commented 1 year ago

ありがとうございます。出力された画像からもモデルが切り替わってることが確認できました。

コンソールには以下の表示が出ました

Thank you very much. I was able to confirm that the model has been switched from the generated images.

The following message was displayed in the console:

[INFO] Loading yden-v3-0.safetensors... global_step key not found in model Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.16.layer_norm1.bias', 'vision_model.encoder.layers.4.self_attn.k_proj.bias', 'vision_model.encoder.layers.4.self_attn.v_proj.bias', 'vision_model.encoder.layers.10.self_attn.out_proj.weight', 'vision_model.encoder.layers.10.layer_norm1.weight', 'vision_model.encoder.layers.1.layer_norm1.weight', 'vision_model.encoder.layers.6.mlp.fc1.weight', 'vision_model.encoder.layers.0.self_attn.k_proj.bias', 'vision_model.encoder.layers.7.self_attn.v_proj.bias', 'vision_model.encoder.layers.5.mlp.fc2.bias', 'vision_model.encoder.layers.14.mlp.fc2.bias', 'vision_model.encoder.layers.17.layer_norm2.weight', 'vision_model.encoder.layers.15.mlp.fc1.bias', 'vision_model.encoder.layers.23.layer_norm1.weight', 'vision_model.encoder.layers.5.self_attn.v_proj.weight', 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This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).　
This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> by passing safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 . [INFO] Loaded yden-v3-0.safetensors...

ddPn08 commented 1 year ago

これについては無視で大丈夫です！

You can safely ignore this.

KawaNae commented 1 year ago

分かりました！修正ありがとうございました

I see. thank you for fixing.

ddPn08 / Radiata