Loading weights [e9c624b59e] from E:\AI2\stable-diffusion-webui_23-03-10\models\Stable-diffusion\橙橘XL （橘子）[无需lora，自带热门角色人物]_Beta_5C.safetensors
Failed to load checkpoint, restoring previous
Loading weights [3838a3d200] from E:\AI2\stable-diffusion-webui_23-03-10\models\Stable-diffusion\清新通透_优可youkengi clear anime_v1.0.safetensors
Applying xformers cross attention optimization.
changing setting sd_model_checkpoint to 橙橘XL （橘子）[无需lora，自带热门角色人物]_Beta_5C.safetensors [e9c624b59e]: RuntimeError
Traceback (most recent call last):
File "E:\AI2\stable-diffusion-webui_23-03-10\modules\shared.py", line 568, in set
self.data_labels[key].onchange()
File "E:\AI2\stable-diffusion-webui_23-03-10\modules\call_queue.py", line 15, in f
res = func(*args, **kwargs)
File "E:\AI2\stable-diffusion-webui_23-03-10\webui.py", line 146, in <lambda>
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
File "E:\AI2\stable-diffusion-webui_23-03-10\modules\sd_models.py", line 501, in reload_model_weights
load_model_weights(sd_model, checkpoint_info, state_dict, timer)
File "E:\AI2\stable-diffusion-webui_23-03-10\modules\sd_models.py", line 277, in load_model_weights
model.load_state_dict(state_dict, strict=False)
File "E:\AI2\stable-diffusion-webui_23-03-10\python\lib\site-packages\torch\nn\modules\module.py", line 1671, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for LatentDiffusion:
size mismatch for model.diffusion_model.input_blocks.4.1.proj_in.weight: copying a param with shape torch.Size([640, 640]) from checkpoint, the shape in current model is torch.Size([640, 640, 1, 1]).

Loading weights [e9c624b59e] from E:\AI2\stable-diffusion-webui_23-03-10\models\Stable-diffusion\橙橘XL （橘子）[无需lora，自带热门角色人物]_Beta_5C.safetensorsFailed to load checkpoint, restoring previousLoading weights [3838a3d200] from E:\AI2\stable-diffusion-webui_23-03-10\models\Stable-diffusion\清新通透_优可youkengi clear anime_v1.0.safetensorsApplying xformers cross attention optimization.changing setting sd_model_checkpoint to 橙橘XL （橘子）[无需lora，自带热门角色人物]_Beta_5C.safetensors [e9c624b59e]: RuntimeErrorTraceback (most recent call last):File "E:\AI2\stable-diffusion-webui_23-03-10\modules\shared.py", line 568, in setself.data_labels[key].onchange()File "E:\AI2\stable-diffusion-webui_23-03-10\modules\call_queue.py", line 15, in fres = func(*args, **kwargs)File "E:\AI2\stable-diffusion-webui_23-03-10\webui.py", line 146, in <lambda>shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))File "E:\AI2\stable-diffusion-webui_23-03-10\modules\sd_models.py", line 501, in reload_model_weightsload_model_weights(sd_model, checkpoint_info, state_dict, timer)File "E:\AI2\stable-diffusion-webui_23-03-10\modules\sd_models.py", line 277, in load_model_weightsmodel.load_state_dict(state_dict, strict=False)File "E:\AI2\stable-diffusion-webui_23-03-10\python\lib\site-packages\torch\nn\modules\module.py", line 1671, in load_state_dictraise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(RuntimeError: Error(s) in loading state_dict for LatentDiffusion:size mismatch for model.diffusion_model.input_blocks.4.1.proj_in.weight: copying a param with shape torch.Size([640, 640]) from checkpoint, the shape in current model is torch.Size([640, 640, 1, 1]).size mismatch for model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 2048]) from checkpoint, the shape in current model is torch.Size([640, 768]).