Bug in controlnet

!!! Exception during processing !!!
Traceback (most recent call last):
  File "F:\Data\Packages\ComfyUI\execution.py", line 151, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
  File "F:\Data\Packages\ComfyUI\execution.py", line 81, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
  File "F:\Data\Packages\ComfyUI\execution.py", line 74, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
  File "F:\Data\Packages\ComfyUI\nodes.py", line 1206, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "F:\Data\Packages\ComfyUI\nodes.py", line 1176, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
  File "F:\Data\Packages\ComfyUI\comfy\sample.py", line 93, 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:\Data\Packages\ComfyUI\comfy\samplers.py", line 733, in sample
    samples = getattr(k_diffusion_sampling, "sample_{}".format(self.sampler))(self.model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\k_diffusion\sampling.py", line 154, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\samplers.py", line 323, in forward
    out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, cond_concat=cond_concat, model_options=model_options, seed=seed)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\k_diffusion\external.py", line 125, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\k_diffusion\external.py", line 151, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\samplers.py", line 311, in apply_model
    out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, cond_concat, model_options=model_options, seed=seed)
  File "F:\Data\Packages\ComfyUI\comfy\samplers.py", line 289, in sampling_function
    cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, model_options)
  File "F:\Data\Packages\ComfyUI\comfy\samplers.py", line 241, in calc_cond_uncond_batch
    c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))
  File "F:\Data\Packages\ComfyUI\comfy\sd.py", line 809, in get_control
    control = self.control_model(x=x_noisy, hint=self.cond_hint, timesteps=t, context=context, y=y)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\cldm\cldm.py", line 283, in forward
    emb = self.time_embed(t_emb)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "F:\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Data\Packages\ComfyUI\comfy\sd.py", line 862, in forward
    return torch.nn.functional.linear(input, self.weight + (torch.mm(self.up.flatten(start_dim=1), self.down.flatten(start_dim=1))).reshape(self.weight.shape).type(self.weight.dtype), self.bias)
RuntimeError: self and mat2 must have the same dtype