【Flux】maximum recursion depth exceeded while calling a Python object

[cheezecrisp]

Expected Behavior

Excuting Flux generation successful

Actual Behavior

Excuting Flux generation, get this error

Steps to Reproduce

https://comfyanonymous.github.io/ComfyUI_examples/flux/flux_dev_example.png

Debug Logs

got prompt
Using xformers attention in VAE
Using xformers attention in VAE
# of Detected SEGS: 2
clip missing: ['text_projection.weight']
Requested to load FluxClipModel_
loaded completely 9.5367431640625e+25 4777.53759765625 True
Requested to load AutoencodingEngine
loaded completely 9.5367431640625e+25 159.87335777282715 True
model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16
model_type FLUX
Requested to load Flux
loaded completely 9.5367431640625e+25 11351.004943847656 True
  0%|                                                                                                                                                                                                                | 0/20 [00:00<?, ?it/s]
!!! Exception during processing !!! maximum recursion depth exceeded while calling a Python object
Traceback (most recent call last):
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 328, 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 "D:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 203, 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 "D:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in _map_node_over_list
    process_inputs(input_dict, i)
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs
    results.append(getattr(obj, func)(**inputs))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1505, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1472, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
    raise e
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\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 "D:\AI\ComfyUI_windows_portable\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:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 117, in KSampler_sample
    return orig_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 51, in KSampler_sample
    return orig_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 1013, 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:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 135, in sample
    return orig_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 911, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 897, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 110, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 866, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 850, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 110, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 100, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 707, 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:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 168, in sample_euler_ancestral
    return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 195, in sample_euler_ancestral_RF
    denoised = model(x, sigmas[i] * s_in, **extra_args)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 379, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 832, in __call__
    return self.predict_noise(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 835, 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:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 175, in sampling_function
    out = orig_fn(*args, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 359, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 195, in calc_cond_batch
    return executor.execute(model, conds, x_in, timestep, model_options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 110, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 308, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 130, in apply_model
    return comfy.patcher_extension.WrapperExecutor.new_class_executor(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", line 110, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 159, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\ldm\flux\model.py", line 204, in forward
    out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None))
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\ldm\flux\model.py", line 120, in forward_orig
    pe = self.pe_embedder(ids)
         ^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\ldm\flux\layers.py", line 22, in forward
    [rope(ids[..., i], self.axes_dim[i], self.theta) for i in range(n_axes)],
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\ldm\flux\layers.py", line 22, in <listcomp>
    [rope(ids[..., i], self.axes_dim[i], self.theta) for i in range(n_axes)],
     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\ComfyUI\comfy\ldm\flux\math.py", line 25, in rope
    out = torch.einsum("...n,d->...nd", pos.to(dtype=torch.float32, device=device), omega)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\functional.py", line 348, in einsum
    import torch.backends.opt_einsum as opt_einsum
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\backends\opt_einsum\__init__.py", line 12, in <module>
    import opt_einsum as _opt_einsum  # type: ignore[import]
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\opt_einsum\__init__.py", line 3, in <module>
    from opt_einsum import blas, helpers, path_random, paths
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\opt_einsum\path_random.py", line 13, in <module>
    from opt_einsum import helpers, paths
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\opt_einsum\paths.py", line 1108, in <module>
    class DynamicProgramming(PathOptimizer):
  File "D:\AI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\opt_einsum\paths.py", line 1143, in DynamicProgramming
    def __init__(self, minimize: str = "flops", cost_cap: Union[bool, int] = True, search_outer: bool = False) -> None:
                                                          ~~~~~^^^^^^^^^^^
  File "typing.py", line 355, in inner
  File "typing.py", line 481, in __getitem__
  File "typing.py", line 700, in Union
  File "typing.py", line 1355, in __init__
  File "typing.py", line 1259, in __init__
  File "typing.py", line 1298, in __setattr__
  File "typing.py", line 1246, in _is_dunder
RecursionError: maximum recursion depth exceeded while calling a Python object

Prompt executed in 55.13 seconds

Other

No response

[ltdrdata]

Disable all custom nodes and try again.

[cheezecrisp]

Disable all custom nodes and try again.

Yes, it was OK after all custom nodes disabled, but it's hard to determinate which one causes problem. I have to check them one by one...

[ltdrdata]

Disable all custom nodes and try again.

Yes, it was OK after all custom nodes disabled, but it's hard to determinate which one causes problem. I have to check them one by one...

Instead of testing one-by-one, you can find the issue with just a few tests by removing half and keeping the other half.
If the issue persists after removing half, remove half again from the remaining custom nodes. If there is no issue after removing half, restore the previously removed custom nodes and remove the remaining custom nodes to test.

By creating two empty folders and moving directories between them, you can quickly switch and test efficiently.