ITADN

Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0!

#79Open0jiuxian0 创建于 2024-12-02
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0jiuxian0commented
# Error 报错 RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm) # Problem description 问题描述 This problem only occurs when I am using this all-in-one ControlNet: **xinsir/controlnet-union-sdxl-1.0** 这个问题只有我在使用这个多合一的controlNet的时候才会出现:**xinsir/controlnet-union-sdxl-1.0** There is no problem when I use this ControlNet specifically for processing OpenPose: **xinsir/controlnet-openpose-sdxl-1.0.** 当我使用这个专门处理OpenPose的ControlNet的时候是没问题的:**xinsir/controlnet-openpose-sdxl-1.0** Other control types also have the same problem. 其他的控制类型也是有相同的问题 ![image](https://github.com/user-attachments/assets/0ec6ebb1-758a-43a4-a6da-482ce066d5c6) ![image](https://github.com/user-attachments/assets/1fc0bec7-0808-4676-ad49-4941e7044333) # System Messgae 系统信息 Windows 11 22H2 GPU: RTX4060 8G Stable Diffusion WebUI: c19d044 # Detail Logs 详细日志 ``` Traceback (most recent call last): File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\call_queue.py", line 74, in f res = list(func(*args, **kwargs)) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\call_queue.py", line 53, in f res = func(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\call_queue.py", line 37, in f res = func(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\txt2img.py", line 109, in txt2img processed = processing.process_images(p) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\processing.py", line 847, in process_images res = process_images_inner(p) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\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 "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\processing.py", line 988, 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 "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions\sd-webui-controlnet\scripts\hook.py", line 470, in process_sample return process.sample_before_CN_hack(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\processing.py", line 1346, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_samplers_kdiffusion.py", line 230, 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 "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_samplers_common.py", line 272, in launch_sampling return func() File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_samplers_kdiffusion.py", line 230, in <lambda> 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 "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral denoised = model(x, sigmas[i] * s_in, **extra_args) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_samplers_cfg_denoiser.py", line 249, in forward x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in)) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\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 "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps return self.inner_model.apply_model(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_models_xl.py", line 43, in apply_model return self.model(x, t, cond) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1582, in _call_impl result = forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_hijack_utils.py", line 22, in <lambda> setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_hijack_utils.py", line 34, in __call__ return self.__sub_func(self.__orig_func, *args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\modules\sd_hijack_unet.py", line 50, in apply_model result = orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py", line 28, in forward return self.diffusion_model( File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions\sd-webui-controlnet\scripts\hook.py", line 905, in forward_webui raise e File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions\sd-webui-controlnet\scripts\hook.py", line 902, in forward_webui return forward(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions\sd-webui-controlnet\scripts\hook.py", line 613, in forward control = param.control_model( File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions\sd-webui-controlnet\scripts\cldm.py", line 32, in forward return self.control_model(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions\sd-webui-controlnet\scripts\cldm.py", line 364, in forward emb = self.time_embed(t_emb) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1582, in _call_impl result = forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\container.py", line 217, in forward input = module(input) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\extensions-builtin\Lora\networks.py", line 584, in network_Linear_forward return originals.Linear_forward(self, input) File "F:\AI\AI Paint\Stable Diffusion\sd-webui-aki-v4.9\python\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward return F.linear(input, self.weight, self.bias) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm) ```
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