how to train stabilityai/stable-diffusion-2-inpainting via lora trainning?

[StawEndl]

as title,

the error is : Traceback (most recent call last): File "/ai/home/project/sd-scripts-main/train_network.py", line 538, in train(args) File "/ai/home/project/sd-scripts-main/train_network.py", line 408, in train noise_pred = unet(noisy_latents, timesteps, encoder_hidden_states).sample File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/accelerate/utils/operations.py", line 490, in call return convert_to_fp32(self.model_forward(*args, **kwargs)) File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/torch/amp/autocast_mode.py", line 12, in decorate_autocast return func(*args, **kwargs) File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/diffusers/models/unet_2d_condition.py", line 375, in forward sample = self.conv_in(sample) File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 457, in forward return self._conv_forward(input, self.weight, self.bias) File "/ai/home/project/sd-scripts-main/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 453, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Given groups=1, weight of size [320, 9, 3, 3], expected input[2, 4, 64, 64] to have 9 channels, but got 4 channels instead

so how can i train that stabilityai/stable-diffusion-2-inpainting?