RuntimeError: mat1 and mat2 must have the same dtype

[kritiro17]

changing setting sd_model_checkpoint to v2-1_768-ema-pruned.safetensors [dcd690123c]: RuntimeError
Traceback (most recent call last):
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\modules\shared.py", line 597, in set
self.data_labels[key].onchange()
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\modules\call_queue.py", line 15, in f
res = func(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\webui.py", line 225, in
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\modules\sd_models.py", line 539, in reload_model_weights
checkpoint_config = sd_models_config.find_checkpoint_config(state_dict, checkpoint_info)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\modules\sd_models_config.py", line 106, in find_checkpoint_config
return guess_model_config_from_state_dict(state_dict, info.filename)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\modules\sd_models_config.py", line 81, in guess_model_config_from_state_dict
elif is_using_v_parameterization_for_sd2(sd):
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\modules\sd_models_config.py", line 61, in is_using_v_parameterization_for_sd2
out = (unet(x_test, torch.asarray([999], device=device), context=test_cond) - x_test).mean().item()
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
h = module(h, emb, context)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 84, in forward
x = layer(x, context)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 334, in forward
x = block(x, context=context[i])
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 269, in forward
return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 121, in checkpoint
return CheckpointFunction.apply(func, len(inputs), *args)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\autograd\function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 136, in forward
output_tensors = ctx.run_function(*ctx.input_tensors)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 274, in _forward
x = self.ff(self.norm3(x)) + x
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 76, in forward
return self.net(x)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\extensions-builtin\Lora\lora.py", line 400, in lora_Linear_forward
return torch.nn.Linear_forward_before_lora(self, input)
File "F:\AI\sd-webui-aki\sd-webui-aki-v4.1\python\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype

Is there anything wrong with my setting? Thanks

[tjohn88]

I have the same issue. My videocard is 3060 12Gb