intel显卡上ControlNet有报错

[cunkai]

用了ControlNet后 在KSampler那步开始报错

D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\intel_extension_for_pytorch\frontend.py:465: UserWarning: Conv BatchNorm folding failed during the optimize process. warnings.warn( D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\intel_extension_for_pytorch\frontend.py:472: UserWarning: Linear BatchNorm folding failed during the optimize process. warnings.warn( D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\amp\autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling warnings.warn( 0%| | 0/25 [00:00<?, ?it/s]

Error occurred when executing KSampler:

mat1 and mat2 must have the same dtype, but got Half and Float

File "D:\Apps\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\Apps\ComfyUI\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\Apps\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\Apps\ComfyUI\nodes.py", line 1373, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\Apps\ComfyUI\nodes.py", line 1343, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "D:\Apps\ComfyUI\comfy\sample.py", line 43, in sample samples = sampler.sample(noise, positive, negative, 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 "D:\Apps\ComfyUI\comfy\samplers.py", line 829, 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 "D:\Apps\ComfyUI\comfy\samplers.py", line 729, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\Apps\ComfyUI\comfy\samplers.py", line 716, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\Apps\ComfyUI\comfy\samplers.py", line 695, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\Apps\ComfyUI\comfy\samplers.py", line 600, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\Apps\ComfyUI\comfy\k_diffusion\sampling.py", line 143, in sample_euler denoised = model(x, sigma_hat * s_in, **extra_args) File "D:\Apps\ComfyUI\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\Apps\ComfyUI\comfy\samplers.py", line 682, in call return self.predict_noise(*args, **kwargs) File "D:\Apps\ComfyUI\comfy\samplers.py", line 685, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) File "D:\Apps\ComfyUI\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "D:\Apps\ComfyUI\comfy\samplers.py", line 202, in calc_cond_batch c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond)) File "D:\Apps\ComfyUI\comfy\controlnet.py", line 200, 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, **self.extra_args) File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "D:\Apps\ComfyUI\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 269, in forward kwargs["context"] = self.encoder_hid_proj( File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward return F.linear(input, self.weight, self.bias)