I use ControlNet and AnimateDiffEvo ，something wrong happen

[GeLi1989]

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)

===================== detail message：

got prompt Requested to load AutoencoderKL Loading 1 new model [AnimateDiffEvo] - INFO - Regular AnimateDiff activated - latents passed in (16) less or equal to context_length 16. [AnimateDiffEvo] - INFO - Using motion module mm_sd_v15_v2.ckpt version v2. Requested to load ControlNet Loading 1 new model unload clone 3 40%|#### | 8/20 [00:14<00:21, 1.81s/it] ERROR:root:!!! Exception during processing !!! ERROR:root:Traceback (most recent call last): File "/root/ComfyUI/execution.py", line 153, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/root/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 "/root/ComfyUI/execution.py", line 76, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "/root/ComfyUI/nodes.py", line 1319, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "/root/ComfyUI/nodes.py", line 1289, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "/root/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample raise e File "/root/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 "/root/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 "/root/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/model_utils.py", line 209, in wrapped_function return function_to_wrap(*args, **kwargs) File "/root/ComfyUI/comfy/sample.py", line 101, 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 "/root/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 "/root/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 "/root/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 "/root/miniconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/root/ComfyUI/comfy/k_diffusion/sampling.py", line 137, in sample_euler denoised = model(x, sigma_hat * s_in, **extra_args) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/root/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 "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in call_impl return forward_call(*args, **kwargs) File "/root/ComfyUI/comfy/samplers.py", line 275, in forward return self.apply_model(*args, **kwargs) File "/root/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 "/root/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 632, in sliding_sampling_function cond, uncond = calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options) File "/root/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 488, in calc_cond_uncond_batch c['control'] = control.get_control(input_x, timestep, c, len(cond_or_uncond)) File "/root/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet/control.py", line 182, in get_control return super().get_control(x_noisy, t, cond, batched_number) File "/root/ComfyUI/comfy/controlnet.py", line 174, in get_control control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(dtype), y=y) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/root/ComfyUI/comfy/cldm/cldm.py", line 287, in forward emb = self.time_embed(t_emb) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/container.py", line 217, in forward input = module(input) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/root/ComfyUI/comfy/ops.py", line 28, in forward return super().forward(*args, **kwargs) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, 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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