{"4451e79b-ef50-44c6-9682-d10cc510d07f": {"prompt": [0, "4451e79b-ef50-44c6-9682-d10cc510d07f", {"1": {"class_type": "UnetLoaderGGUF", "inputs": {"unet_name": "qwen-image-Q4_K_M.gguf"}}, "2": {"class_type": "CLIPLoader", "inputs": {"clip_name": "qwen_2.5_vl_7b_fp8_scaled.safetensors", "type": "qwen_image", "device": "default"}}, "3": {"class_type": "VAELoader", "inputs": {"vae_name": "qwen_image_vae.safetensors"}}, "4": {"class_type": "CLIPTextEncode", "inputs": {"text": "a beautiful landscape", "clip": ["2", 0]}}, "5": {"class_type": "CLIPTextEncode", "inputs": {"text": "", "clip": ["2", 0]}}, "8": {"class_type": "EmptyLatentImage", "inputs": {"width": 512, "height": 512, "batch_size": 1}}, "12": {"class_type": "ModelSamplingDiscrete", "inputs": {"sampling": "eps", "zsnr": false, "model": ["1", 0]}}, "9": {"class_type": "KSampler", "inputs": {"seed": 42, "steps": 4, "cfg": 4.5, "sampler_name": "euler", "scheduler": "simple", "denoise": 1.0, "model": ["12", 0], "positive": ["4", 0], "negative": ["5", 0], "latent_image": ["8", 0]}}, "10": {"class_type": "VAEDecode", "inputs": {"samples": ["9", 0], "vae": ["3", 0]}}, "11": {"class_type": "SaveImage", "inputs": {"filename_prefix": "Test_DS", "images": ["10", 0]}}}, {"create_time": 1782975756830}, ["11"]], "outputs": {}, "status": {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "4451e79b-ef50-44c6-9682-d10cc510d07f", "timestamp": 1782975756832}], ["execution_cached", {"nodes": [], "prompt_id": "4451e79b-ef50-44c6-9682-d10cc510d07f", "timestamp": 1782975756834}], ["execution_error", {"prompt_id": "4451e79b-ef50-44c6-9682-d10cc510d07f", "node_id": "9", "node_type": "KSampler", "executed": ["5", "1", "3", "2", "12", "4", "8"], "exception_message": "[Errno 22] Invalid argument\n", "exception_type": "OSError", "traceback": ["  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\execution.py\", line 536, 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:\\AI\\ComfyUI_windows_portable\\ComfyUI\\execution.py\", line 336, 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:\\AI\\ComfyUI_windows_portable\\ComfyUI\\execution.py\", line 310, in _async_map_node_over_list\n    await process_inputs(input_dict, i)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\execution.py\", line 298, in process_inputs\n    result = f(**inputs)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\nodes.py\", line 1586, in sample\n    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\nodes.py\", line 1550, in common_ksampler\n    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,\n                                  denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step,\n                                  force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\sample.py\", line 74, 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", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\samplers.py\", line 1444, 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", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\samplers.py\", line 1334, in sample\n    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)\n           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\samplers.py\", line 1316, in sample\n    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\patcher_extension.py\", line 113, in execute\n    return self.original(*args, **kwargs)\n           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\samplers.py\", line 1254, 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", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\samplers.py\", line 1229, in inner_sample\n    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\patcher_extension.py\", line 113, in execute\n    return self.original(*args, **kwargs)\n           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\samplers.py\", line 999, 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", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\torch\\utils\\_contextlib.py\", line 124, in decorate_context\n    return func(*args, **kwargs)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\k_diffusion\\sampling.py\", line 194, in sample_euler\n    for i in trange(len(sigmas) - 1, disable=disable):\n             ~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\comfy\\utils.py\", line 1194, in model_trange\n    pbar = trange(*args, **kwargs, smoothing=1.0)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\auto.py\", line 37, in trange\n    return tqdm(range(*args), **kwargs)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\asyncio.py\", line 24, in __init__\n    super().__init__(iterable, *args, **kwargs)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\std.py\", line 1098, in __init__\n    self.refresh(lock_args=self.lock_args)\n    ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\std.py\", line 1347, in refresh\n    self.display()\n    ~~~~~~~~~~~~^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\std.py\", line 1495, in display\n    self.sp(self.__str__() if msg is None else msg)\n    ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\std.py\", line 459, in print_status\n    fp_write('\\r' + s + (' ' * max(last_len[0] - len_s, 0)))\n    ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\std.py\", line 452, in fp_write\n    fp.write(str(s))\n    ~~~~~~~~^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\python_embeded\\Lib\\site-packages\\tqdm\\utils.py\", line 196, in inner\n    return func(*args, **kwargs)\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-Manager\\prestartup_script.py\", line 335, in write\n    write_stderr(message)\n    ~~~~~~~~~~~~^^^^^^^^^\n", "  File \"C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\app\\logger.py\", line 66, in write\n    super().write(data)\n    ~~~~~~~~~~~~~^^^^^^\n"], "current_inputs": {"seed": [42], "steps": [4], "cfg": [4.5], "sampler_name": ["euler"], "scheduler": ["simple"], "denoise": [1.0], "model": ["<C:\\AI\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-GGUF.nodes.GGUFModelPatcher object at 0x000002206D67A210>"], "positive": ["[[tensor([[[ 5.3544, -1.5500,  2.0055,  ...,  0.1852,  3.3789,  4.8285],\n         [ 4.3154, -0.9710,  0.8936,  ..., -0.4195,  0.8894,  3.4293],\n         [ 3.7530, -1.6055,  3.8669,  ...,  1.3002,  3.1579,  2.4278],\n         ...,\n         [ 7.5307, -1.3539, -2.8275,  ...,  5.5108,  3.2630,  0.6387],\n         [ 4.6162,  1.9089,  1.4369,  ..., -0.5170,  3.8785,  0.4081],\n         [ 2.2491, -0.1046,  3.4716,  ...,  0.1218,  2.0972,  0.3479]]]), {'pooled_output': None}]]"], "negative": ["[[tensor([[[ 2.7814, -5.0152, -0.8391,  ...,  1.1128,  0.8457,  0.4013],\n         [ 1.7155,  0.8206,  3.4768,  ...,  6.1539,  2.0414, -0.7599],\n         [ 5.3807, -0.1688,  0.9788,  ...,  5.0093, -1.0310,  0.8841],\n         [ 3.8683,  2.2930,  1.1149,  ..., -1.0684,  3.3186,  1.7605],\n         [ 1.2955,  3.2033,  5.3520,  ...,  2.1907,  4.1084,  2.1957]]]), {'pooled_output': None}]]"], "latent_image": ["{'samples': 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.]],\n\n         [[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.]],\n\n         [[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.]],\n\n         [[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.]]]]), 'downscale_ratio_spacial': 8}"]}, "current_outputs": ["5", "1", "10", "3", "11", "2", "9", "12", "4", "8"], "timestamp": 1782975773633}]]}, "meta": {}}}