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got prompt
model weight dtype torch.bfloat16, manual cast: None
model_type FLOW
FETCH ComfyRegistry Data [DONE]
[ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes
FETCH DATA from: K:\ComfyUI_windows_portable\ComfyUI\user\__manager\cache\1514988643_custom-node-list.json [DONE]
[ComfyUI-Manager] All startup tasks have been completed.
VAE load device: cuda:0, offload device: cpu, dtype: torch.float16
Requested to load ACE15TEModel_
loaded completely;  4673.04 MB loaded, full load: True
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cuda:0, dtype: torch.float16
Requested to load ACEStep15
loaded completely; 6490.42 MB usable, 4565.35 MB loaded, full load: True
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!!! Exception during processing !!! Tensors must have same number of dimensions: got 3 and 4
Traceback (most recent call last):
  File "K:\ComfyUI_windows_portable\ComfyUI\execution.py", line 527, in execute
    output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
                                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\execution.py", line 331, in get_output_data
    return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\execution.py", line 305, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "K:\ComfyUI_windows_portable\ComfyUI\execution.py", line 293, in process_inputs
    result = f(**inputs)
  File "K:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1590, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "K:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1555, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
                                  denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step,
                                  force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 66, 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 "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 1177, 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 "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 1067, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 1049, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 993, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 979, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 751, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "K:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 120, in decorate_context
    return func(*args, **kwargs)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 233, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 952, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 959, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 962, 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 "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 167, in apply_model
    return comfy.patcher_extension.WrapperExecutor.new_class_executor(
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    ...<2 lines>...
        comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.APPLY_MODEL, transformer_options)
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    ).execute(x, t, c_concat, c_crossattn, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 209, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "K:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "K:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
    return forward_call(*args, **kwargs)
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\ace\ace_step15.py", line 1136, in forward
    enc_hidden, enc_mask, context_latents = self.prepare_condition(
                                            ~~~~~~~~~~~~~~~~~~~~~~^
        text_hidden_states, text_attention_mask,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<2 lines>...
        src_latents, chunk_masks, is_covers, precomputed_lm_hints_25Hz=precomputed_lm_hints_25Hz, audio_codes=audio_codes
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "K:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\ace\ace_step15.py", line 1109, in prepare_condition
    context_latents = torch.cat([src_latents, chunk_masks.to(src_latents.dtype)], dim=-1)
RuntimeError: Tensors must have same number of dimensions: got 3 and 4

Prompt executed in 80.67 seconds