IDEA-Research / Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
https://arxiv.org/abs/2401.14159
Apache License 2.0
14.85k stars 1.37k forks source link

秋叶整合包报错Running GroundingDINO Inference RuntimeError: shape '[30522, 768]' is invalid for input of size 2822882 #246

Closed XiaoCC closed 1 year ago

XiaoCC commented 1 year ago

秋叶整合包报错请问下要怎么修复 调试了2天了还没弄好 Running GroundingDINO Inference Initializing GroundingDINO GroundingDINO_SwinT_OGC (694MB) final text_encoder_type: bert-base-uncased Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\routes.py", line 394, in run_predict output = await app.get_blocks().process_api( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1075, in process_api result = await self.call_function( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 884, in call_function prediction = await anyio.to_thread.run_sync( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, *args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\sam.py", line 248, in dino_predict boxes_filt, install_success = dino_predict_internal(input_image, dino_model_name, text_prompt, box_threshold) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 136, in dino_predict_internal dino_model = load_dino_model(dino_model_name) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 83, in load_dino_model dino = build_model(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\modelsinit.py", line 17, in build_model model = build_func(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 372, in build_groundingdino model = GroundingDINO( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 108, in init self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\util\get_tokenlizer.py", line 23, in get_pretrained_language_model return BertModel.from_pretrained(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 2301, in from_pretrained state_dict = load_state_dict(resolved_archive_file) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 413, in load_state_dict return safe_load_file(checkpoint_file) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\safetensors\torch.py", line 101, in load_file result[k] = f.get_tensor(k) RuntimeError: shape '[30522, 768]' is invalid for input of size 2822882 提示:Python 运行时抛出了一个异常。请检查疑难解答页面。

XiaoCC commented 1 year ago

python: 3.10.11  •  torch: 2.0.0+cu118  •  xformers: 0.0.17  •  gradio: 3.23.0  • 

rentainhe commented 1 year ago

您好,方便分享一下秋叶整合包的具体位置吗

XiaoCC commented 1 year ago

D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4

XiaoCC commented 1 year ago

Running GroundingDINO Inference Initializing GroundingDINO GroundingDINO_SwinT_OGC (694MB) 2023-05-10 20:10:35,716 - cmd.py [line:540] - INFO: Ignored error after process had died: OSError(9, '句柄无效。', None, 6, None) 2023-05-10 20:10:35,716 - cmd.py [line:553] - INFO: Ignored error after process had died: OSError(9, '句柄无效。', None, 6, None) 2023-05-10 20:10:35,716 - cmd.py [line:540] - INFO: Ignored error after process had died: OSError(9, '句柄无效。', None, 6, None) 2023-05-10 20:10:35,716 - cmd.py [line:553] - INFO: Ignored error after process had died: OSError(9, '句柄无效。', None, 6, None) final text_encoder_type: bert-base-uncased Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\routes.py", line 399, in run_predict output = await app.get_blocks().process_api( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1299, in process_api result = await self.call_function( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1022, in call_function prediction = await anyio.to_thread.run_sync( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, *args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\sam.py", line 248, in dino_predict boxes_filt, install_success = dino_predict_internal(input_image, dino_model_name, text_prompt, box_threshold) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 136, in dino_predict_internal dino_model = load_dino_model(dino_model_name) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 83, in load_dino_model dino = build_model(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models__init__.py", line 17, in build_model model = build_func(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 372, in build_groundingdino model = GroundingDINO( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 108, in init self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\util\get_tokenlizer.py", line 23, in get_pretrained_language_model return BertModel.from_pretrained(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 2301, in from_pretrained state_dict = load_state_dict(resolved_archive_file) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 402, in load_state_dict with safe_open(checkpoint_file, framework="pt") as f: safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer

XiaoCC commented 1 year ago
1 2 未命名
XiaoCC commented 1 year ago

Running GroundingDINO Inference Initializing GroundingDINO GroundingDINO_SwinT_OGC (694MB) final text_encoder_type: bert-base-uncased Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\routes.py", line 399, in run_predict output = await app.get_blocks().process_api( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1299, in process_api result = await self.call_function( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1022, in call_function prediction = await anyio.to_thread.run_sync( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\sam.py", line 248, in dino_predict boxes_filt, install_success = dino_predict_internal(input_image, dino_model_name, text_prompt, box_threshold) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 136, in dino_predict_internal dino_model = load_dino_model(dino_model_name) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 83, in load_dino_model dino = build_model(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models__init__.py", line 17, in build_model model = build_func(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 372, in build_groundingdino model = GroundingDINO( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 108, in init self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\util\get_tokenlizer.py", line 23, in get_pretrained_language_model return BertModel.from_pretrained(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 2301, in from_pretrained state_dict = load_state_dict(resolved_archive_file) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 402, in load_state_dict with safe_open(checkpoint_file, framework="pt") as f: safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer Running GroundingDINO Inference Initializing GroundingDINO GroundingDINO_SwinT_OGC (694MB) final text_encoder_type: bert-base-uncased Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\routes.py", line 399, in run_predict output = await app.get_blocks().process_api( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1299, in process_api result = await self.call_function( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1022, in call_function prediction = await anyio.to_thread.run_sync( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\sam.py", line 248, in dino_predict boxes_filt, install_success = dino_predict_internal(input_image, dino_model_name, text_prompt, box_threshold) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 136, in dino_predict_internal dino_model = load_dino_model(dino_model_name) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 83, in load_dino_model dino = build_model(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models__init.py", line 17, in build_model model = build_func(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 372, in build_groundingdino model = GroundingDINO( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 108, in init self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\util\get_tokenlizer.py", line 23, in get_pretrained_language_model return BertModel.from_pretrained(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 2301, in from_pretrained state_dict = load_state_dict(resolved_archive_file) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 402, in load_state_dict with safe_open(checkpoint_file, framework="pt") as f: safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer Running GroundingDINO Inference Initializing GroundingDINO GroundingDINO_SwinT_OGC (694MB) final text_encoder_type: bert-base-uncased Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\routes.py", line 399, in run_predict output = await app.get_blocks().process_api( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1299, in process_api result = await self.call_function( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1022, in call_function prediction = await anyio.to_thread.run_sync( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, *args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\sam.py", line 248, in dino_predict boxes_filt, install_success = dino_predict_internal(input_image, dino_model_name, text_prompt, box_threshold) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 136, in dino_predict_internal dino_model = load_dino_model(dino_model_name) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 83, in load_dino_model dino = build_model(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models__init__.py", line 17, in build_model model = build_func(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 372, in build_groundingdino model = GroundingDINO( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 108, in init__ self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\util\get_tokenlizer.py", line 23, in get_pretrained_language_model return BertModel.from_pretrained(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 2301, in from_pretrained state_dict = load_state_dict(resolved_archive_file) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 402, in load_state_dict with safe_open(checkpoint_file, framework="pt") as f: safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer Running GroundingDINO Inference Initializing GroundingDINO GroundingDINO_SwinB (938MB) final text_encoder_type: bert-base-uncased Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\connectionpool.py", line 700, in urlopen self._prepare_proxy(conn) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\connectionpool.py", line 996, in _prepare_proxy conn.connect() File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\connection.py", line 419, in connect self.sock = ssl_wrapsocket( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\util\ssl.py", line 449, in ssl_wrap_socket ssl_sock = _ssl_wrap_socketimpl( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\util\ssl.py", line 493, in _ssl_wrap_socket_impl return ssl_context.wrap_socket(sock, server_hostname=server_hostname) File "ssl.py", line 513, in wrap_socket File "ssl.py", line 1071, in _create File "ssl.py", line 1342, in do_handshake ssl.SSLEOFError: EOF occurred in violation of protocol (_ssl.c:1007)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\requests\adapters.py", line 486, in send resp = conn.urlopen( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\connectionpool.py", line 787, in urlopen retries = retries.increment( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\urllib3\util\retry.py", line 592, in increment raise MaxRetryError(_pool, url, error or ResponseError(cause)) urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/config.json (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1007)')))

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\routes.py", line 399, in run_predict output = await app.get_blocks().process_api( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1299, in process_api result = await self.call_function( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\gradio\blocks.py", line 1022, in call_function prediction = await anyio.to_thread.run_sync( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\sam.py", line 248, in dino_predict boxes_filt, install_success = dino_predict_internal(input_image, dino_model_name, text_prompt, box_threshold) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 136, in dino_predict_internal dino_model = load_dino_model(dino_model_name) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\extensions\sd-webui-segment-anything\scripts\dino.py", line 83, in load_dino_model dino = build_model(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models__init__.py", line 17, in build_model model = build_func(args) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 372, in build_groundingdino model = GroundingDINO( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 108, in init self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\groundingdino\util\get_tokenlizer.py", line 23, in get_pretrained_language_model return BertModel.from_pretrained(text_encoder_type) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\modeling_utils.py", line 2079, in from_pretrained config, model_kwargs = cls.config_class.from_pretrained( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\configuration_utils.py", line 538, in from_pretrained config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\configuration_utils.py", line 565, in get_config_dict config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\configuration_utils.py", line 620, in _get_config_dict resolved_config_file = cached_file( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file resolved_file = hf_hub_download( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\utils_validators.py", line 120, in _inner_fn return fn(args, *kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\file_download.py", line 1166, in hf_hub_download metadata = get_hf_file_metadata( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\utils_validators.py", line 120, in _inner_fn return fn(args, kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\file_download.py", line 1498, in get_hf_file_metadata r = _request_wrapper( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\file_download.py", line 407, in _request_wrapper response = _request_wrapper( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\file_download.py", line 442, in _request_wrapper return http_backoff( File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\huggingface_hub\utils_http.py", line 129, in http_backoff response = requests.request(method=method, url=url, kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\requests\api.py", line 59, in request return session.request(method=method, url=url, kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\requests\sessions.py", line 587, in request resp = self.send(prep, send_kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\requests\sessions.py", line 701, in send r = adapter.send(request, **kwargs) File "D:\stable diffusion\sd-webui-aki-v4\sd-webui-aki-v4\py310\lib\site-packages\requests\adapters.py", line 517, in send raise SSLError(e, request=request) requests.exceptions.SSLError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/config.json (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1007)')))

rentainhe commented 1 year ago

requests.exceptions.SSLError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/config.json (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1007)')))

这边不太确定是否能登录上Huggingface,看起来网络有点点小小的问题,可能需要VPN

XiaoCC commented 1 year ago

原来是bert-base-uncased的模型下载不完整导致的,清除缓存重新下载就好了