(venv) E:\AI\HCP-diffusion\HCP-Diffusion-webui\HCP-Diffusion>python -m hcpdiff.tools.sd2diffusers ^
More? --checkpoint_path "E:\AI\HCP-diffusion\erwin-demo\SD_to_Diffuse_Model\CKPT\meinamix_meinaV11.safetensors" ^
More? --original_config_file "E:\AI\HCP-diffusion\erwin-demo\SD_to_Diffuse_Model\SD1.5-v1-inference.yaml" ^
More? --dump_path "E:\AI\HCP-diffusion\erwin-demo\SD_to_Diffuse_Model\Diffuse_Output"
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
wandb is not available
Traceback (most recent call last):
File "C:\Users\erwin\.pyenv\pyenv-win\versions\3.10.9\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\erwin\.pyenv\pyenv-win\versions\3.10.9\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "E:\AI\HCP-diffusion\HCP-Diffusion-webui\HCP-Diffusion\hcpdiff\tools\sd2diffusers.py", line 385, in <module>
convert_ckpt(args)
File "E:\AI\HCP-diffusion\HCP-Diffusion-webui\HCP-Diffusion\hcpdiff\tools\sd2diffusers.py", line 212, in convert_ckpt
pipe = load_sd_ckpt(
File "C:\Users\erwin\.pyenv\pyenv-win\versions\3.10.9\lib\site-packages\diffusers\pipelines\stable_diffusion\convert_from_ckpt.py", line 1258, in download_from_original_stable_diffusion_ckpt
checkpoint = torch.load(checkpoint_path_or_dict, map_location=device)
File "C:\Users\erwin\.pyenv\pyenv-win\versions\3.10.9\lib\site-packages\torch\serialization.py", line 1028, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "C:\Users\erwin\.pyenv\pyenv-win\versions\3.10.9\lib\site-packages\torch\serialization.py", line 1246, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '\xa0'.
用的是文档的示例 https://hcpdiff.readthedocs.io/zh-cn/latest/user_guides/model_convert.html
最终报错:
windows 系统, HCP-Diffusion版本:commit 9573c9b16d37263d79dd5e4fd4ad45cc5dfc8153 Date: Tue Nov 14 20:47:31 2023 +0800
情况说明如下,我git clone HCP-Diffusion之后,用python -m venv venv 新建虚拟环境,然后激活虚拟环境,输入文档的代码, 并将其中模型目录换成我自己的。 它这个报错, 是我输入的参数有问题嘛?
完整代码如下: