Sometime crash in wan2.1 only change the prompt

### Expected Behavior

Prompt executed.

### Actual Behavior

Sometime crash in wan2.1 only change the prompt.
And success in second time.

### Steps to Reproduce

Only change the prompt.And success in second time.

### Debug Logs

```powershell
!!! Exception during processing !!! output with shape [1, 4860, 5120] doesn't match the broadcast shape [2, 4860, 5120]
Traceback (most recent call last):
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\execution.py", line 327, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\execution.py", line 202, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\execution.py", line 174, in _map_node_over_list
process_inputs(input_dict, i)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\execution.py", line 163, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\nodes.py", line 1542, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\nodes.py", line 1509, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\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 "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\sample.py", line 45, 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 "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 1133, 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 "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 1023, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 1008, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 976, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 959, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 738, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "C:\Python310\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\k_diffusion\sampling.py", line 161, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 390, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 939, in __call__
return self.predict_noise(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 942, 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 "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 370, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 206, in calc_cond_batch
return executor.execute(model, conds, x_in, timestep, model_options)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\samplers.py", line 317, in _calc_cond_batch
output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\custom_nodes\ComfyUI-KJNodes\nodes\model_optimization_nodes.py", line 930, in unet_wrapper_function
out = model_function(input, timestep, **c)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\model_base.py", line 133, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\comfy\model_base.py", line 165, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "C:\Python310\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Python310\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\custom_nodes\ComfyUI-KJNodes\nodes\model_optimization_nodes.py", line 719, in teacache_wanvideo_forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, **kwargs)[:, :, :t, :h, :w]
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\custom_nodes\ComfyUI-KJNodes\nodes\model_optimization_nodes.py", line 789, in teacache_wanvideo_forward_orig
should_calc, cache = tea_cache(x, e0, e, kwargs)
File "C:\Python310\lib\site-packages\torch\_dynamo\eval_frame.py", line 632, in _fn
return fn(*args, **kwargs)
File "C:\ai\ComfyUI_windows_portable\ComfyUI2\custom_nodes\ComfyUI-KJNodes\nodes\model_optimization_nodes.py", line 784, in tea_cache
x += cache['previous_residual'].to(x.device)
RuntimeError: output with shape [1, 4860, 5120] doesn't match the broadcast shape [2, 4860, 5120]
```

### Other

_No response_