Latent upscale has some problem

[huibiaoli]

When run by hires.fix flow, i got this error, what should i do?

!!! Exception during processing !!! Traceback (most recent call last): File "/Users/lihuibiao/ComfyUI/execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/Users/lihuibiao/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 "/Users/lihuibiao/ComfyUI/execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "/Users/lihuibiao/ComfyUI/nodes.py", line 1344, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "/Users/lihuibiao/ComfyUI/nodes.py", line 1314, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "/Users/lihuibiao/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 173, in animatediff_sample return orig_comfy_sample(model, noise, *args, **kwargs) File "/Users/lihuibiao/ComfyUI/comfy/sample.py", line 37, 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 "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 755, 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 "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 657, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 644, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 623, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 534, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) File "/opt/homebrew/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/Users/lihuibiao/ComfyUI/comfy/k_diffusion/sampling.py", line 137, in sample_euler denoised = model(x, sigma_hat * s_in, **extra_args) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 272, in __call__ out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 610, in __call__ return self.predict_noise(*args, **kwargs) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 613, 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 "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 258, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "/Users/lihuibiao/ComfyUI/comfy/samplers.py", line 218, in calc_cond_batch output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks) File "/Users/lihuibiao/ComfyUI/comfy/model_base.py", line 97, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() File "/Users/lihuibiao/ComfyUI/custom_nodes/ComfyUI-CoreMLSuite/coreml_suite/models.py", line 23, in __call__ chunked_out = [ File "/Users/lihuibiao/ComfyUI/custom_nodes/ComfyUI-CoreMLSuite/coreml_suite/models.py", line 25, in <listcomp> self.coreml_model(**input_kwargs.coreml_kwargs(self.expected_inputs)), File "/opt/homebrew/lib/python3.10/site-packages/python_coreml_stable_diffusion/coreml_model.py", line 97, in __call__ self._verify_inputs(**kwargs) File "/opt/homebrew/lib/python3.10/site-packages/python_coreml_stable_diffusion/coreml_model.py", line 90, in _verify_inputs raise TypeError( TypeError: Expected shape (1, 4, 64, 64), got (1, 4, 96, 96) for input: sample