Python int too large to convert to C long

[jpgallegoar]

Describe the bug

I got this error when choosing a too large resolution in Hunyuan Video model. Is there a way to fix it?

!!! Exception during processing !!! Python int too large to convert to C long
Traceback (most recent call last):
  File "E:\AI\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 "E:\AI\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 "E:\AI\ComfyUI\execution.py", line 174, in _map_node_over_list
    process_inputs(input_dict, i)
  File "E:\AI\ComfyUI\execution.py", line 163, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "E:\AI\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 1140, in process
    out_latents = model["pipe"](
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "E:\AI\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\diffusion\pipelines\pipeline_hunyuan_video.py", line 576, in __call__
    noise_pred = self.transformer(  # For an input image (129, 192, 336) (1, 256, 256)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\AI\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\modules\models.py", line 775, in forward
    x = block(*single_block_args)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_dynamo\eval_frame.py", line 465, in _fn
    return fn(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\AI\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\modules\models.py", line 401, in forward
    attn = attention(
  File "E:\AI\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\modules\models.py", line 401, in torch_dynamo_resume_in_forward_at_401
    attn = attention(
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_dynamo\eval_frame.py", line 632, in _fn
    return fn(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_functorch\aot_autograd.py", line 1100, in forward
    return compiled_fn(full_args)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 321, in runtime_wrapper
    all_outs = call_func_at_runtime_with_args(
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_functorch\_aot_autograd\utils.py", line 124, in call_func_at_runtime_with_args
    out = normalize_as_list(f(args))
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 667, in inner_fn
    outs = compiled_fn(args)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 488, in wrapper
    return compiled_fn(runtime_args)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\codecache.py", line 1478, in __call__
    return self.current_callable(inputs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\utils.py", line 1977, in run
    return model(new_inputs)
  File "C:\Users\thega\AppData\Local\Temp\torchinductor_thega\m4\cm4tanyectk3tyxslemljxlmhrsbzdffq4s23xkysepq7c65xipp.py", line 196, in call
    triton_poi_fused__scaled_mm__to_copy_ones_0.run(arg0_1, arg1_1, buf0, 2259164160, grid=grid(2259164160), stream=stream0)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 836, in run
    self.autotune_to_one_config(*args, grid=grid, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 729, in autotune_to_one_config
    timings = self.benchmark_all_configs(*args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 704, in benchmark_all_configs
    timings = {
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 705, in <dictcomp>
    launcher: self.bench(launcher, *args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 675, in bench
    return benchmarker.benchmark_gpu(kernel_call, rep=40, fast_flush=True)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\benchmarking.py", line 66, in wrapper
    return fn(self, *args, **kwargs)
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\benchmarking.py", line 201, in benchmark_gpu
    return self.triton_do_bench(_callable, **kwargs, return_mode="median")
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\triton\testing.py", line 106, in do_bench
    fn()
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 663, in kernel_call
    launcher(
  File "<string>", line 13, in launcher
  File "C:\Users\thega\miniconda3\envs\cogsage\lib\site-packages\triton\backends\nvidia\driver.py", line 408, in __call__
    self.launch(*args, **kwargs)
OverflowError: Python int too large to convert to C long

Environment details

Triton-windows 3.0.0 RTX 4090