RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 1 but got size 2 for tensor number 1 in the list.

[atbgams]

This error occurs when using any inpaint models, while the same error does not occur when using the standard sd1.5 model

Traceback (most recent call last): File "E:\AI\stable-diffusion-webui\modules\call_queue.py", line 57, in f res = list(func(*args, kwargs)) File "E:\AI\stable-diffusion-webui\modules\call_queue.py", line 36, in f res = func(*args, *kwargs) File "E:\AI\stable-diffusion-webui\modules\txt2img.py", line 110, in txt2img processed = processing.process_images(p) File "E:\AI\stable-diffusion-webui\modules\processing.py", line 785, in process_images res = process_images_inner(p) File "E:\AI\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 59, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, args, kwargs) File "E:\AI\stable-diffusion-webui\modules\processing.py", line 921, in process_images_inner samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) File "E:\AI\stable-diffusion-webui\modules\processing.py", line 1257, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "E:\AI\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 234, in sample samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs)) File "E:\AI\stable-diffusion-webui\modules\sd_samplers_common.py", line 261, in launch_sampling return func() File "E:\AI\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 234, in samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs)) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "E:\AI\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m denoised = model(x, sigmas[i] * s_in, *extra_args) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "E:\AI\stable-diffusion-webui\modules\sd_samplers_cfg_denoiser.py", line 237, in forward x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in)) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "E:\AI\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), kwargs) File "E:\AI\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps return self.inner_model.apply_model(*args, *kwargs) File "E:\AI\stable-diffusion-webui\modules\sd_hijack_utils.py", line 18, in setattr(resolved_obj, func_path[-1], lambda args, kwargs: self(*args, kwargs)) File "E:\AI\stable-diffusion-webui\modules\sd_hijack_utils.py", line 32, in call return self.__orig_func(args, kwargs) File "E:\AI\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model x_recon = self.model(x_noisy, t, cond) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1568, in _call_impl result = forward_call(*args, **kwargs) File "E:\AI\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1337, in forward xc = torch.cat([x] + c_concat, dim=1) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 1 but got size 2 for tensor number 1 in the list.

[atbgams]

The same settings and prompt words will cause this error when using the inpaint model, while the normal model will not

[atbgams]

Finally, the problem was discovered, as long as the value is not 0, an error will be reported