sd-webui-lcm: unable to install LCM

The config attributes {‘force_upcast’: True} were passed to AutoencoderKL, but are not expected and will be ignored. Please verify your config.json configuration file. *** Error loading script: main.py Traceback (most recent call last): File “E:\stable diffusion\stable-diffusion-webui\modules\scripts.py”, line 382, in load_scripts script_module = script_loading.load_module(scriptfile.path) File “E:\stable diffusion\stable-diffusion-webui\modules\script_loading.py”, line 10, in load_module module_spec.loader.exec_module(module) File “<frozen importlib._bootstrap_external>”, line 883, in exec_module File “<frozen importlib._bootstrap>”, line 241, in _call_with_frames_removed File “E:\stable diffusion\stable-diffusion-webui\extensions\sd-webui-lcm\scripts\main.py”, line 71, in <module> pipe = LatentConsistencyModelPipeline.from_pretrained( File “E:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\diffusers\pipelines\pipeline_utils.py”, line 1039, in from_pretrained loaded_sub_model = load_sub_model( File “E:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\diffusers\pipelines\pipeline_utils.py”, line 445, in load_sub_model loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs) File “E:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\diffusers\models\modeling_utils.py”, line 583, in from_pretrained raise ValueError( ValueError: Cannot load <class ‘diffusers.models.autoencoder_kl.AutoencoderKL’> from C:\Users\Tr0uble.cache\huggingface\hub\models–SimianLuo–LCM_Dreamshaper_v7\snapshots\c7f9b672c65a664af57d1de926819fd79cb26eb8\vae because the following keys are missing: decoder.mid_block.attentions.0.value.weight, decoder.mid_block.attentions.0.query.bias, decoder.mid_block.attentions.0.value.bias, decoder.mid_block.attentions.0.query.weight, decoder.mid_block.attentions.0.key.bias, encoder.mid_block.attentions.0.query.bias, encoder.mid_block.attentions.0.value.weight, encoder.mid_block.attentions.0.value.bias, decoder.mid_block.attentions.0.proj_attn.bias, encoder.mid_block.attentions.0.key.bias, encoder.mid_block.attentions.0.key.weight, encoder.mid_block.attentions.0.proj_attn.weight, encoder.mid_block.attentions.0.proj_attn.bias, encoder.mid_block.attentions.0.query.weight, decoder.mid_block.attentions.0.proj_attn.weight, decoder.mid_block.attentions.0.key.weight. Please make sure to pass low_cpu_mem_usage=False and device_map=None if you want to randomly initialize those weights or else make sure your checkpoint file is correct.