V3- Errors when load dreambooth model realisticVisionV51_v51VAE/realisticVisionV60B1_v51VAE

[MedicineStick]

I downloaded the realisticVisionV51_v51 and realisticVisionV60B1_v51 according to the intrudution link, but errors occurred when loading them...

Motion Module Parameters: 417.1376 M

loading controlnet checkpoint from models/SparseCtrl/v3_sd15_sparsectrl_rgb.ckpt ... controlnet image paths: assets/demos/image/RealisticVision_firework.png load motion module from models/Motion_Module/v3_sd15_mm.ckpt load dreambooth model from models/DreamBooth_LoRA/realisticVisionV51_v51VAE.safetensors Traceback (most recent call last): File "/home/tione/notebook/lskong2/softwares/anaconda3/envs/dsd/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/home/tione/notebook/lskong2/softwares/anaconda3/envs/dsd/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/home/tione/notebook/lskong2/projects/5.image_2_video/AnimateDiff/scripts/animate.py", line 196, in main(args) File "/home/tione/notebook/lskong2/softwares/anaconda3/envs/dsd/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/home/tione/notebook/lskong2/projects/5.image_2_video/AnimateDiff/scripts/animate.py", line 126, in main pipeline = load_weights( File "/home/tione/notebook/lskong2/projects/5.image_2_video/AnimateDiff/animatediff/utils/util.py", line 133, in load_weights animation_pipeline.vae.load_state_dict(converted_vae_checkpoint) File "/home/tione/notebook/lskong2/softwares/anaconda3/envs/dsd/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for AutoencoderKL: Missing key(s) in state_dict: "encoder.mid_block.attentions.0.to_q.weight", "encoder.mid_block.attentions.0.to_q.bias", "encoder.mid_block.attentions.0.to_k.weight", "encoder.mid_block.attentions.0.to_k.bias", "encoder.mid_block.attentions.0.to_v.weight", "encoder.mid_block.attentions.0.to_v.bias", "encoder.mid_block.attentions.0.to_out.0.weight", "encoder.mid_block.attentions.0.to_out.0.bias", "decoder.mid_block.attentions.0.to_q.weight", "decoder.mid_block.attentions.0.to_q.bias", "decoder.mid_block.attentions.0.to_k.weight", "decoder.mid_block.attentions.0.to_k.bias", "decoder.mid_block.attentions.0.to_v.weight", "decoder.mid_block.attentions.0.to_v.bias", "decoder.mid_block.attentions.0.to_out.0.weight", "decoder.mid_block.attentions.0.to_out.0.bias". Unexpected key(s) in state_dict: "encoder.mid_block.attentions.0.key.bias", "encoder.mid_block.attentions.0.key.weight", "encoder.mid_block.attentions.0.proj_attn.bias", "encoder.mid_block.attentions.0.proj_attn.weight", "encoder.mid_block.attentions.0.query.bias", "encoder.mid_block.attentions.0.query.weight", "encoder.mid_block.attentions.0.value.bias", "encoder.mid_block.attentions.0.value.weight", "decoder.mid_block.attentions.0.key.bias", "decoder.mid_block.attentions.0.key.weight", "decoder.mid_block.attentions.0.proj_attn.bias", "decoder.mid_block.attentions.0.proj_attn.weight", "decoder.mid_block.attentions.0.query.bias", "decoder.mid_block.attentions.0.query.weight", "decoder.mid_block.attentions.0.value.bias", "decoder.mid_block.attentions.0.value.weight".

[MedicineStick]

downgrade diffuser from 0.23 to 0.11 , problem solved ...