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Description
我运行:
python app.py --pretrained_model_name_or_path /home/ubuntu/文档/GitHub/CharacterFactory/stable-diffusion-2-1
报错信息:
(IDEGAN) ubuntu@ubuntu-all-series:~/文档/GitHub/CharacterFactory$ python app.py --pretrained_model_name_or_path /home/ubuntu/文档/GitHub/CharacterFactory/stable-diffusion-2-1
Loading pipeline components...: 100%|█████████████| 6/6 [00:00<00:00, 7.01it/s]
[all_embeddings loaded] shape = torch.Size([326, 2, 1024]) max: tensor(0.0551, device='cuda:0') min={} tensor(-0.0558, device='cuda:0')
[name_emb_mean loaded] shape = torch.Size([2, 1024]) max: tensor(0.0167, device='cuda:0') min={} tensor(-0.0085, device='cuda:0')
now experiment_name: normal_GAN
[all_embeddings loaded] shape = torch.Size([226, 2, 1024]) max: tensor(0.0551, device='cuda:0') min={} tensor(-0.0558, device='cuda:0')
[name_emb_mean loaded] shape = torch.Size([2, 1024]) max: tensor(0.0187, device='cuda:0') min={} tensor(-0.0092, device='cuda:0')
now experiment_name: man_GAN
[all_embeddings loaded] shape = torch.Size([100, 2, 1024]) max: tensor(0.0527, device='cuda:0') min={} tensor(-0.0484, device='cuda:0')
[name_emb_mean loaded] shape = torch.Size([2, 1024]) max: tensor(0.0131, device='cuda:0') min={} tensor(-0.0100, device='cuda:0')
now experiment_name: woman_GAN
Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True in launch().
experiment_name: man_GAN
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/queueing.py", line 541, in process_events
response = await route_utils.call_process_api(
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/route_utils.py", line 276, in call_process_api
output = await app.get_blocks().process_api(
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/blocks.py", line 1928, in process_api
result = await self.call_function(
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/blocks.py", line 1526, in call_function
prediction = await utils.async_iteration(iterator)
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/utils.py", line 657, in async_iteration
return await iterator.anext()
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/utils.py", line 650, in anext
return await anyio.to_thread.run_sync(
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 2177, in run_sync_in_worker_thread
return await future
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 859, in run
result = context.run(func, *args)
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/utils.py", line 633, in run_sync_iterator_async
return next(iterator)
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/gradio/utils.py", line 816, in gen_wrapper
response = next(iterator)
File "app.py", line 198, in generate_image
Embedding_Manager.load(embedding_path)
File "/home/ubuntu/文档/GitHub/CharacterFactory/models/embedding_manager.py", line 126, in load
ckpt = torch.load(ckpt_path, map_location='cuda')
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/torch/serialization.py", line 815, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/ubuntu/anaconda3/envs/IDEGAN/lib/python3.8/site-packages/torch/serialization.py", line 1033, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.
^CKeyboard interruption in main thread... closing server.
