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)

Prompt executed in 41.42 seconds

[ghostsquad]

@GeLi1989 please update the issue with the error message to make it easier for people to find this.

Expected all tensors to be on the same device

I'm on commit f9e55d84 dated Jan 15 (today)

commit f9e55d8463da692954d84f51ca354161396fe1b8 (HEAD -> master, origin/master, backup_branch_2024-01-15_12_17_21, backup_branch_2024-01-15_12_17_10)
Author: comfyanonymous <comfyanonymous@protonmail.com>
Date:   Mon Jan 15 03:10:22 2024 -0500

    Only auto enable bf16 VAE on nvidia GPUs that actually support it.

Trying to run this workflow:

https://github.com/cubiq/ComfyUI_Workflows/blob/main/in-out_painting/inpaint.json

and I'm getting this error message:

Error occurred when executing VAEEncodeForInpaint:

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

  File "G:\ComfyUI_windows_portable\ComfyUI\execution.py", line 155, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\ComfyUI_windows_portable\ComfyUI\execution.py", line 85, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\ComfyUI_windows_portable\ComfyUI\execution.py", line 78, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 356, in encode
    pixels[:,:,:,i] *= m