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)

[Jasperb3]

Error occurred when executing KSampler Adv. (Efficient):

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)

Some changes were recently made to ComfyUI-Advanced-ControlNet that affect the imported AdvancedControlNet.py for SM

See here: https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet/issues/36

https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet/issues/38

and here: https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet/commit/296a9ef49ce29e826c91e63e85052785825d0dd7

[peteromallet]

Pushed a fix for this - plus some other improvements. Please update and let me know if it's all good.

[Jasperb3]

Works like a charm. Great job. Thanks

[zqlong123]

Error occurred when executing KSampler:

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)

File "F:\Blender_ComfyUI\ComfyUI\execution.py", line 153, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "F:\Blender_ComfyUI\ComfyUI\execution.py", line 83, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "F:\Blender_ComfyUI\ComfyUI\execution.py", line 76, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "F:\Blender_ComfyUI\ComfyUI\nodes.py", line 1299, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\AIT\AITemplate\AITemplate.py", line 176, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample raise e File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample return original_sample(*args, *kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 284, in motion_sample return wrap_function_to_inject_xformers_bug_info(orig_comfy_sample)(model, noise, args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\model_utils.py", line 205, in wrapped_function return function_to_wrap(args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\AIT\AITemplate\AITemplate.py", line 293, in sample samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) File "F:\Blender_ComfyUI\ComfyUI\comfy\samplers.py", line 716, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) File "F:\Blender_ComfyUI\ComfyUI\comfy\samplers.py", line 622, in sample samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "F:\Blender_ComfyUI\ComfyUI\comfy\samplers.py", line 561, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler denoised = model(x, sigma_hat * s_in, *extra_args) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\comfy\samplers.py", line 285, in forward out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\comfy\samplers.py", line 275, in forward return self.apply_model(*args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\comfy\samplers.py", line 272, in apply_model out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 634, in sliding_sampling_function cond, uncond = sliding_calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 615, in sliding_calc_cond_uncond_batch sub_cond_out, sub_uncond_out = calc_cond_uncond_batch(model, sub_cond, sub_uncond, sub_x, sub_timestep, model_options) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 488, in calc_cond_uncond_batch c['control'] = control.get_control(inputx, timestep, c, len(cond_or_uncond)) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\control.py", line 276, in get_control return self.sliding_get_control(x_noisy, t, cond, batched_number) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\control.py", line 281, in sliding_get_control control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\control.py", line 276, in get_control return self.sliding_get_control(x_noisy, t, cond, batched_number) File "F:\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\control.py", line 319, in sliding_get_control control = self.control_model(x=x_noisy.to(self.control_model.dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(self.control_model.dtype), y=y) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "F:\Blender_ComfyUI\ComfyUI\comfy\cldm\cldm.py", line 287, in forward emb = self.time_embed(t_emb) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\container.py", line 215, in forward input = module(input) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "F:\Blender_ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward return F.linear(input, self.weight, self.bias)

[zqlong123]

Can anyone help me solve this problem? ? ?

[peteromallet]

See the soluton above - you need to update the node and Comfy