Ignore Windows stderr flush errors #2462
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A required fix PR has also been raised in the ComfyUI project - Comfy-Org/ComfyUI#11629 |
ltdrdata
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Jan 8, 2026
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While running SDXL turbo API from web (comfyui workflow api [Windows]) I encountered below error -
"Execution error: {\"prompt_id\":\"a7ecfdc4-57a0-42eb-a397-2b4e09923ff5\",\"node_id\":\"9\",\"node_type\":\"KSampler\",\"executed\":[\"2\",\"4\",\"3\",\"6\"],\"exception_message\":\"[Errno 22] Invalid argument\\n\",\"exception_type\":\"OSError\",\"traceback\":[\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\execution.py\\\", line 516, in execute\\n 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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\execution.py\\\", line 330, in get_output_data\\n 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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\execution.py\\\", line 304, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\execution.py\\\", line 292, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\nodes.py\\\", line 1538, in sample\\n return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\nodes.py\\\", line 1505, in common_ksampler\\n samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\sample.py\\\", line 60, in sample\\n 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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\samplers.py\\\", line 1178, in sample\\n 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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\samplers.py\\\", line 1068, in sample\\n return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\samplers.py\\\", line 1050, in sample\\n output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\patcher_extension.py\\\", line 112, in execute\\n return self.original(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\samplers.py\\\", line 994, in outer_sample\\n output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\samplers.py\\\", line 980, in inner_sample\\n samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\patcher_extension.py\\\", line 112, in execute\\n return self.original(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\samplers.py\\\", line 752, in sample\\n samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\mywork\\\\ai\\\\ComfyUI\\\\.venv\\\\Lib\\\\site-packages\\\\torch\\\\utils\\\\_contextlib.py\\\", line 120, in decorate_context\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\comfy\\\\k_diffusion\\\\sampling.py\\\", line 188, in sample_euler\\n for i in trange(len(sigmas) - 1, disable=disable):\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\mywork\\\\ai\\\\ComfyUI\\\\.venv\\\\Lib\\\\site-packages\\\\tqdm\\\\auto.py\\\", line 37, in trange\\n return tqdm(range(*args), **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\mywork\\\\ai\\\\ComfyUI\\\\.venv\\\\Lib\\\\site-packages\\\\tqdm\\\\asyncio.py\\\", line 24, in __init__\\n super().__init__(iterable, *args, **kwargs)\\n\",\" File \\\"C:\\\\mywork\\\\ai\\\\ComfyUI\\\\.venv\\\\Lib\\\\site-packages\\\\tqdm\\\\std.py\\\", line 1096, in __init__\\n self.sp = self.status_printer(self.fp)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\",\" File \\\"C:\\\\mywork\\\\ai\\\\ComfyUI\\\\.venv\\\\Lib\\\\site-packages\\\\tqdm\\\\std.py\\\", line 448, in status_printer\\n getattr(sys.stderr, 'flush', lambda: None)()\\n\",\" File \\\"C:\\\\mywork\\\\ai\\\\ComfyUI\\\\.venv\\\\Lib\\\\site-packages\\\\comfyui_manager\\\\prestartup_script.py\\\", line 346, in flush\\n else:\\n\",\" File \\\"C:\\\\Users\\\\akdesk\\\\AppData\\\\Local\\\\Programs\\\\ComfyUI\\\\resources\\\\ComfyUI\\\\app\\\\logger.py\\\", line 35, in flush\\n try:\\n\"],\"current_inputs\":{\"seed\":[9493899430947],\"steps\":[1],\"cfg\":[1],\"sampler_name\":[\"euler\"],\"scheduler\":[\"simple\"],\"denoise\":[0.51],\"model\":[\"<comfy.model_patcher.ModelPatcher object at 0x000001A106DB4800>\"],\"positive\":[\"[[tensor([[[-3.8917, -2.5113, 4.7167, ..., 0.1904, 0.4180, -0.2969],\\n [ 0.0893, -0.6197, -0.4877, ..., 0.5010, -0.0373, -0.1578],\\n [-0.8100, 0.7784, -0.6064, ..., 0.7569, -0.0574, 0.0363],\\n ...,\\n [ 0.1699, 0.4243, -1.4070, ..., -0.4261, 0.3274, 0.1695],\\n [ 0.1648, 0.4260, -1.4104, ..., -0.4884, 0.2035, 0.0875],\\n [ 0.1954, 0.4995, -1.3730, ..., -0.5655, 0.1199, -0.0789]]]), {'pooled_output': tensor([[-0.7455, 0.1107, -0.6369, ..., -1.5046, -0.4919, 1.4990]])}]]\"],\"negative\":[\"[[tensor([[[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]]]), {'pooled_output': tensor([[0., 0., 0., ..., 0., 0., 0.]])}]]\"],\"latent_image\":[\"{'samples': tensor([[[[ 21.5000, 20.3750, 19.3750, ..., 21.3750, 21.3750, 22.1250],\\n [ 18.3750, 20.1250, 17.6250, ..., 17.5000, 18.1250, 18.0000],\\n [ 19.5000, 19.3750, 18.0000, ..., 19.3750, 17.7500, 20.2500],\\n ...,\\n [ 18.7500, 19.6250, 17.8750, ..., 18.1250, 18.0000, 20.1250],\\n [ 16.3750, 19.0000, 17.8750, ..., 17.8750, 18.1250, 21.1250],\\n [ 21.6250, 22.0000, 21.3750, ..., 21.2500, 21.7500, 20.6250]],\\n\\n [[ -4.2500, -1.0469, -2.9844, ..., -2.3594, -0.1367, 4.0312],\\n [ -0.1123, 6.5625, 0.3242, ..., 2.4375, 2.5469, 2.9375],\\n [ 1.4609, 4.3750, 0.6953, ..., 7.5000, 1.6719, 5.4062],\\n ...,\\n [ 0.2539, 4.7812, 0.6953, ..., 1.3359, 2.4219, 5.4375],\\n [ -2.0469, 3.5469, 1.5156, ..., 1.2969, 2.2656, 5.2812],\\n [ 4.0625, 3.9375, 4.4375, ..., 4.3125, 4.2188, 4.4062]],\\n\\n [[ 9.6250, -0.4023, 3.1094, ..., -0.4258, -0.7266, 8.7500],\\n [ -1.2031, 7.0312, 9.2500, ..., 9.1250, 8.6250, 1.1406],\\n [ 9.6875, 7.6250, 9.0625, ..., 5.8125, 8.9375, 8.8125],\\n ...,\\n [ 9.0625, 7.0938, 8.8750, ..., 9.2500, 9.1250, 9.0625],\\n [ 2.4062, 2.3438, 8.6250, ..., 9.6250, 10.1250, 9.0000],\\n [ 6.5312, 5.8125, 5.7812, ..., 6.0312, 6.1875, 6.7500]],\\n\\n [[ -1.6094, -5.4375, -9.2500, ..., -4.8438, -5.1875, -4.4688],\\n [ -6.0312, -10.1875, -8.0625, ..., -9.0625, -8.9375, -11.5000],\\n [ -4.9062, -8.2500, -8.1250, ..., -9.1250, -7.9062, -6.3750],\\n ...,\\n [ -5.2500, -8.6250, -8.1250, ..., -8.3125, -8.0000, -6.2812],\\n [-10.2500, -11.3750, -8.3750, ..., -7.9688, -8.2500, -6.1250],\\n [ -3.0469, -5.2188, -5.9062, ..., -5.8750, -5.5938, -3.2500]]]])}\"]},\"current_outputs\":[\"9\",\"2\",\"4\",\"12\",\"15\",\"3\",\"6\",\"16\",\"5\",\"10\",\"11\"],\"timestamp\":1767539402262}"This is the fix for the above error