{"prompt": [1, "42fbd695-5629-4995-a8bc-6efc99d17782", {"1": {"class_type": "LoadAudio", "inputs": {"audio": "gsrt_batch/kgr_stage/audio/r073_rev7_w1_vwin.wav"}, "_meta": {"title": "LoadAudio"}}, "2": {"class_type": "MiniMaxH3AudioWindowT8", "inputs": {"audio": ["1", 0], "scene_start_seconds": 0.0, "scene_duration_seconds": 3.8333, "warmup_seconds": 0.0, "cooldown_seconds": 0.0, "ensure_minimum_context": false}, "_meta": {"title": "MiniMaxH3AudioWindowT8"}}, "3": {"class_type": "VAELoader", "inputs": {"vae_name": "minimax_h3_video_vae_fp16.safetensors"}, "_meta": {"title": "VAELoader"}}, "4": {"class_type": "VAELoader", "inputs": {"vae_name": "minimax_h3_audio_vae_fp32.safetensors"}, "_meta": {"title": "VAELoader"}}, "5": {"class_type": "CLIPLoader", "inputs": {"clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors", "type": "minimax", "device": "default"}, "_meta": {"title": "CLIPLoader"}}, "6": {"class_type": "UNETLoader", "inputs": {"unet_name": "minimax_h3_fl2va_int8_convrot.safetensors", "weight_dtype": "default"}, "_meta": {"title": "UNETLoader"}}, "17": {"class_type": "LoraLoaderModelOnly", "inputs": {"model": ["6", 0], "lora_name": "minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors", "strength_model": 1.0}, "_meta": {"title": "LoraLoaderModelOnly"}}, "7": {"class_type": "MiniMaxH3SigmaShift", "inputs": {"model": ["17", 0], "shift_video": 6.0, "shift_audio": 3.0}, "_meta": {"title": "MiniMaxH3SigmaShift"}}, "18": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/conds/r073_rev7_w1_first.jpg"}, "_meta": {"title": "LoadImage"}}, "19": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/conds/r073_rev7_w1_last.jpg"}, "_meta": {"title": "LoadImage"}}, "8": {"class_type": "MiniMaxH3MultiKeyframeConditioningT8Advanced", "inputs": {"model": ["7", 0], "clip": ["5", 0], "video_vae": ["3", 0], "audio_vae": ["4", 0], "length": ["2", 1], "drive_audio": ["2", 0], "first_frame": ["18", 0], "last_frame": ["19", 0], "keyframe_plan": ["80", 0], "prompt": "3D animation, Pixar-level rendering, cinematic shallow depth of field. A dim forest over leaf-covered ground beside huge buttress tree roots. the green praying mantis warrior (thin green body, blade-like forearms, big round eyes, white bandages wrapped on his forearms) holds his blade up in guard against the red centipede's headless tail-segment while her severed head — a live red horned head on skittering legs — crawls fast across the leaves toward him, jaws snapping. Beat 1 (0 to 2.0 seconds): the mantis holds his guard, blade raised, eyes tracking the severed head as it skitters closer and lunges at him — give the severed head its own clear moment lunging large toward the camera; the headless tail-segment stays apart in the mid-ground, slow. Beat 2 (from 2.0 seconds to the end): the mantis leaps into his counter-strike — a fast exchange, blade meets the lunging head mid-air, and the clip ends mid-exchange with the blade still swinging: no strike has landed yet, the mantis still mid-lunge at the cut. The camera stays locked while the near forest layer counter-slides right in a stratified parallax drift — flat layered slide, no zoom, no dolly-in. Dark low-key forest light, warm rim light on the red centipede's shell. (S1) is the rhino beetle warrior off-screen. During each line only the designated speaker's mouth moves off-screen: the characters speak aloud in sequence: (S1)<d>[中文]青辈 生死之后</d> Identity reference images <Picture 1> <Picture 2> <Picture 3> are the red centipede's official turnaround sheet: stump-face front, arched side, full side profile, dorsal view. They define her true body: a headless tail-segment creature — complete for the whole shot: she never grows a head, eyes, jaws or antennae. Keep her body identity consistent; follow the shot's staging and camera exactly as described.", "width": 1344, "height": 768, "task_type": "FL2VA", "audio_mode": "lock_source", "audio_denoise_strength": 0.0, "add_source_as_reference": false, "prompt_primary_audio_ordinal": 1, "strict_prompt_tags": true, "ref_image_size": "match", "reference_video_policy": "official_2_to_15s", "first_frame_noise_aug": 0.999, "last_frame_noise_aug": 0.999, "reference_visual_noise_aug": 0.999, "ref_images.ref_image_0": ["60", 0], "ref_images.ref_image_1": ["61", 0], "ref_images.ref_image_2": ["62", 0]}, "_meta": {"title": "MiniMaxH3MultiKeyframeConditioningT8Advanced"}}, "9": {"class_type": "RandomNoise", "inputs": {"noise_seed": 990701}, "_meta": {"title": "RandomNoise"}}, "10": {"class_type": "BasicGuider", "inputs": {"model": ["7", 0], "conditioning": ["8", 1]}, "_meta": {"title": "BasicGuider"}}, "11": {"class_type": "KSamplerSelect", "inputs": {"sampler_name": "euler"}, "_meta": {"title": "KSamplerSelect"}}, "12": {"class_type": "BasicScheduler", "inputs": {"model": ["7", 0], "scheduler": "simple", "steps": 9, "denoise": 1.0}, "_meta": {"title": "BasicScheduler"}}, "13": {"class_type": "SamplerCustomAdvanced", "inputs": {"noise": ["9", 0], "guider": ["10", 0], "sampler": ["11", 0], "sigmas": ["12", 0], "latent_image": ["8", 2]}, "_meta": {"title": "SamplerCustomAdvanced"}}, "14": {"class_type": "MiniMaxH3AVDecodeT8", "inputs": {"av_latent": ["13", 0], "video_vae": ["3", 0], "audio_vae": ["4", 0]}, "_meta": {"title": "MiniMaxH3AVDecodeT8"}}, "15": {"class_type": "MiniMaxH3OutputTrimT8", "inputs": {"start_seconds": ["2", 2], "duration_seconds": ["2", 3], "frames": ["14", 0], "audio": ["8", 3], "fps": 24.0}, "_meta": {"title": "MiniMaxH3OutputTrimT8"}}, "16": {"class_type": "VHS_VideoCombine", "inputs": {"images": ["15", 0], "audio": ["15", 1], "frame_rate": 24.0, "loop_count": 0, "filename_prefix": "kgr_out/r073_rev7_w1_seed990701", "format": "video/h264-mp4", "pix_fmt": "yuv420p", "crf": 19, "save_metadata": true, "trim_to_audio": false, "pingpong": false, "save_output": true}, "_meta": {"title": "VHS_VideoCombine"}}, "70": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/anchors_r3/w1_mid_013.jpg"}, "_meta": {"title": "LoadImage"}}, "80": {"class_type": "MiniMaxH3KeyframePlanT8Advanced", "inputs": {"image": ["70", 0], "position_mode": "frame", "position": 13.0, "visual_noise_aug": 0.999, "resize_mode": "center_crop", "enabled": true}, "_meta": {"title": "MiniMaxH3KeyframePlanT8Advanced"}}, "71": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/anchors_r3/w1_mid_079.jpg"}, "_meta": {"title": "LoadImage"}}, "81": {"class_type": "MiniMaxH3KeyframePlanT8Advanced", "inputs": {"image": ["71", 0], "position_mode": "frame", "position": 79.0, "visual_noise_aug": 0.999, "resize_mode": "center_crop", "enabled": true, "previous_plan": ["80", 0]}, "_meta": {"title": "MiniMaxH3KeyframePlanT8Advanced"}}, "60": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/refs_rev7/turn_col1_stump_closeup.jpg"}, "_meta": {"title": "LoadImage"}}, "61": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/refs_rev7/turn_col2_alert_arch.jpg"}, "_meta": {"title": "LoadImage"}}, "62": {"class_type": "LoadImage", "inputs": {"image": "gsrt_batch/kgr_stage/refs_rev7/turn_col3_side_profile.jpg"}, "_meta": {"title": "LoadImage"}}}, {"client_id": "kgr_r073_rev7_w1_seed990701", "create_time": 1791717003451}, ["16"]], "outputs": {}, "status": {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "42fbd695-5629-4995-a8bc-6efc99d17782", "timestamp": 1791717003452}], ["execution_cached", {"nodes": [], "prompt_id": "42fbd695-5629-4995-a8bc-6efc99d17782", "timestamp": 1791717003529}], ["execution_error", {"prompt_id": "42fbd695-5629-4995-a8bc-6efc99d17782", "node_id": "8", "node_type": "MiniMaxH3MultiKeyframeConditioningT8Advanced", "executed": ["62", "4", "80", "17", "6", "19", "7", "1", "60", "5", "18", "61", "2", "70", "3"], "exception_message": "FL2VA cannot include reference media; use Auto or Hybrid\n", "exception_type": "ValueError", "traceback": ["  File \"/root/ComfyUI/execution.py\", line 547, 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 \"/root/ComfyUI/execution.py\", line 352, 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 \"/root/ComfyUI/custom_nodes/ComfyUI-Lora-Manager/py/metadata_collector/metadata_hook.py\", line 171, in async_map_node_over_list_with_metadata\n    results = await original_map_node_over_list(\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n    ...<2 lines>...\n    )\n    ^\n", "  File \"/root/ComfyUI/execution.py\", line 326, in _async_map_node_over_list\n    await process_inputs(input_dict, i)\n", "  File \"/root/ComfyUI/execution.py\", line 314, in process_inputs\n    result = f(**inputs)\n", "  File \"/root/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n    return method(locked_class, **inputs)\n", "  File \"/root/ComfyUI/comfy_api/latest/_io.py\", line 2053, in EXECUTE_NORMALIZED\n    to_return = cls.execute(*args, **kwargs)\n", "  File \"/root/ComfyUI/custom_nodes/minimax-h3-audio-T8/nodes_multikeyframe_advanced.py\", line 293, in execute\n    *build_multikeyframe_conditioning(\n     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n        model=model,\n        ^^^^^^^^^^^^\n    ...<26 lines>...\n        ref_audios=ref_audios,\n        ^^^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\n", "  File \"/root/ComfyUI/custom_nodes/minimax-h3-audio-T8/multikeyframe_advanced.py\", line 1351, in build_multikeyframe_conditioning\n    ) = _build_advanced_conditioning(\n        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n        clip,\n        ^^^^^\n    ...<25 lines>...\n        ref_audios,\n        ^^^^^^^^^^^\n    )\n    ^\n", "  File \"/root/ComfyUI/custom_nodes/minimax-h3-audio-T8/multikeyframe_advanced.py\", line 1143, in _build_advanced_conditioning\n    resolved_task = resolve_task_type(task_type, first_frame, last_frame, has_refs)\n", "  File \"/root/ComfyUI/custom_nodes/minimax-h3-audio-T8/conditioning.py\", line 336, in resolve_task_type\n    raise ValueError(f\"{requested.upper()} cannot include reference media; use Auto or Hybrid\")\n"], "current_inputs": {"model": ["<comfy.model_patcher.ModelPatcherDynamic object at 0x77f5dac3d950>"], "clip": ["<comfy.sd.CLIP object at 0x77f5f0447380>"], "video_vae": ["<comfy.sd.VAE object at 0x77f5f00fe490>"], "audio_vae": ["<comfy.sd.VAE object at 0x77f5f04441a0>"], "length": [107], "drive_audio": ["{'waveform': tensor([[[0.1172, 0.1738, 0.1650,  ..., 0.0000, 0.0000, 0.0000],\n         [0.0456, 0.1035, 0.1471,  ..., 0.0000, 0.0000, 0.0000]]]), 'sample_rate': 24000}"], "first_frame": ["tensor([[[[0.1098, 0.1176, 0.0667],\n          [0.1098, 0.1176, 0.0667],\n          [0.1059, 0.1137, 0.0627],\n          ...,\n          [0.0706, 0.1137, 0.0941],\n          [0.0706, 0.1137, 0.0941],\n          [0.0706, 0.1137, 0.0941]],\n\n         [[0.1098, 0.1176, 0.0667],\n          [0.1098, 0.1176, 0.0667],\n          [0.1059, 0.1137, 0.0627],\n          ...,\n          [0.0706, 0.1137, 0.0941],\n          [0.0706, 0.1137, 0.0941],\n          [0.0706, 0.1137, 0.0941]],\n\n         [[0.1098, 0.1176, 0.0667],\n          [0.1098, 0.1176, 0.0667],\n          [0.1059, 0.1137, 0.0627],\n          ...,\n          [0.0706, 0.1137, 0.0941],\n          [0.0706, 0.1137, 0.0941],\n          [0.0706, 0.1137, 0.0941]],\n\n         ...,\n\n         [[0.6627, 0.6902, 0.6824],\n          [0.6667, 0.6941, 0.6863],\n          [0.6667, 0.6941, 0.6863],\n          ...,\n          [0.3725, 0.2902, 0.2706],\n          [0.3686, 0.2863, 0.2667],\n          [0.3686, 0.2863, 0.2667]],\n\n         [[0.6706, 0.6980, 0.6902],\n          [0.6706, 0.6980, 0.6902],\n          [0.6745, 0.7020, 0.6941],\n          ...,\n          [0.3725, 0.2902, 0.2706],\n          [0.3686, 0.2863, 0.2667],\n          [0.3686, 0.2863, 0.2667]],\n\n         [[0.6706, 0.6980, 0.6902],\n          [0.6745, 0.7020, 0.6941],\n          [0.6745, 0.7020, 0.6941],\n          ...,\n          [0.3725, 0.2902, 0.2706],\n          [0.3686, 0.2863, 0.2667],\n          [0.3686, 0.2863, 0.2667]]]])"], "last_frame": ["tensor([[[[0.0392, 0.0745, 0.0157],\n          [0.0392, 0.0745, 0.0157],\n          [0.0392, 0.0745, 0.0157],\n          ...,\n          [0.0745, 0.1333, 0.0902],\n          [0.0745, 0.1333, 0.0902],\n          [0.0745, 0.1333, 0.0902]],\n\n         [[0.0392, 0.0745, 0.0157],\n          [0.0392, 0.0745, 0.0157],\n          [0.0392, 0.0745, 0.0157],\n          ...,\n          [0.0745, 0.1333, 0.0902],\n          [0.0745, 0.1333, 0.0902],\n          [0.0745, 0.1333, 0.0902]],\n\n         [[0.0392, 0.0745, 0.0157],\n          [0.0392, 0.0745, 0.0157],\n          [0.0392, 0.0745, 0.0157],\n          ...,\n          [0.0745, 0.1333, 0.0902],\n          [0.0745, 0.1333, 0.0902],\n          [0.0745, 0.1333, 0.0902]],\n\n         ...,\n\n         [[0.0039, 0.0118, 0.0118],\n          [0.0039, 0.0118, 0.0118],\n          [0.0039, 0.0118, 0.0118],\n          ...,\n          [0.0157, 0.0078, 0.0039],\n          [0.0157, 0.0078, 0.0039],\n          [0.0157, 0.0078, 0.0039]],\n\n         [[0.0039, 0.0118, 0.0118],\n          [0.0039, 0.0118, 0.0118],\n          [0.0039, 0.0118, 0.0118],\n          ...,\n          [0.0157, 0.0078, 0.0039],\n          [0.0157, 0.0078, 0.0039],\n          [0.0157, 0.0078, 0.0039]],\n\n         [[0.0039, 0.0118, 0.0118],\n          [0.0039, 0.0118, 0.0118],\n          [0.0039, 0.0118, 0.0118],\n          ...,\n          [0.0157, 0.0078, 0.0039],\n          [0.0157, 0.0078, 0.0039],\n          [0.0157, 0.0078, 0.0039]]]])"], "keyframe_plan": ["({'image': tensor([[[[0.2039, 0.2667, 0.1843],\n          [0.2039, 0.2667, 0.1843],\n          [0.2078, 0.2706, 0.1882],\n          ...,\n          [0.1765, 0.1882, 0.1608],\n          [0.1804, 0.1922, 0.1647],\n          [0.1804, 0.1922, 0.1647]],\n\n         [[0.2039, 0.2667, 0.1843],\n          [0.2039, 0.2667, 0.1843],\n          [0.2078, 0.2706, 0.1882],\n          ...,\n          [0.1843, 0.1961, 0.1686],\n          [0.1882, 0.2000, 0.1725],\n          [0.1882, 0.2000, 0.1725]],\n\n         [[0.2039, 0.2667, 0.1843],\n          [0.2039, 0.2667, 0.1843],\n          [0.2078, 0.2706, 0.1882],\n          ...,\n          [0.2000, 0.2118, 0.1843],\n          [0.2039, 0.2157, 0.1882],\n          [0.2039, 0.2157, 0.1882]],\n\n         ...,\n\n         [[0.2549, 0.1961, 0.1608],\n          [0.2549, 0.1961, 0.1608],\n          [0.2588, 0.2000, 0.1647],\n          ...,\n          [0.2392, 0.2235, 0.2157],\n          [0.2392, 0.2235, 0.2157],\n          [0.2392, 0.2235, 0.2157]],\n\n         [[0.2510, 0.1922, 0.1569],\n          [0.2510, 0.1922, 0.1569],\n          [0.2549, 0.1961, 0.1608],\n          ...,\n          [0.2353, 0.2196, 0.2118],\n          [0.2353, 0.2196, 0.2118],\n          [0.2353, 0.2196, 0.2118]],\n\n         [[0.2471, 0.1882, 0.1529],\n          [0.2471, 0.1882, 0.1529],\n          [0.2510, 0.1922, 0.1569],\n          ...,\n          [0.2353, 0.2196, 0.2118],\n          [0.2353, 0.2196, 0.2118],\n          [0.2353, 0.2196, 0.2118]]]]), 'position_mode': 'frame', 'position': 13.0, 'visual_noise_aug': 0.999, 'resize_mode': 'center_crop', 'enabled': True, 'source_ordinal': 1},)"], "prompt": ["3D animation, Pixar-level rendering, cinematic shallow depth of field. A dim forest over leaf-covered ground beside huge buttress tree roots. the green praying mantis warrior (thin green body, blade-like forearms, big round eyes, white bandages wrapped on his forearms) holds his blade up in guard against the red centipede's headless tail-segment while her severed head — a live red horned head on skittering legs — crawls fast across the leaves toward him, jaws snapping. Beat 1 (0 to 2.0 seconds): the mantis holds his guard, blade raised, eyes tracking the severed head as it skitters closer and lunges at him — give the severed head its own clear moment lunging large toward the camera; the headless tail-segment stays apart in the mid-ground, slow. Beat 2 (from 2.0 seconds to the end): the mantis leaps into his counter-strike — a fast exchange, blade meets the lunging head mid-air, and the clip ends mid-exchange with the blade still swinging: no strike has landed yet, the mantis still mid-lunge at the cut. The camera stays locked while the near forest layer counter-slides right in a stratified parallax drift — flat layered slide, no zoom, no dolly-in. Dark low-key forest light, warm rim light on the red centipede's shell. (S1) is the rhino beetle warrior off-screen. During each line only the designated speaker's mouth moves off-screen: the characters speak aloud in sequence: (S1)<d>[中文]青辈 生死之后</d> Identity reference images <Picture 1> <Picture 2> <Picture 3> are the red centipede's official turnaround sheet: stump-face front, arched side, full side profile, dorsal view. They define her true body: a headless tail-segment creature — complete for the whole shot: she never grows a head, eyes, jaws or antennae. Keep her body identity consistent; follow the shot's staging and camera exactly as described."], "width": [1344], "height": [768], "task_type": ["FL2VA"], "audio_mode": ["lock_source"], "audio_denoise_strength": [0.0], "add_source_as_reference": [false], "prompt_primary_audio_ordinal": [1], "strict_prompt_tags": [true], "ref_image_size": ["match"], "reference_video_policy": ["official_2_to_15s"], "first_frame_noise_aug": [0.999], "last_frame_noise_aug": [0.999], "reference_visual_noise_aug": [0.999], "ref_images.ref_image_0": ["tensor([[[[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         ...,\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]]]])"], "ref_images.ref_image_1": ["tensor([[[[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         ...,\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]]]])"], "ref_images.ref_image_2": ["tensor([[[[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         ...,\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]],\n\n         [[1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.],\n          ...,\n          [1., 1., 1.],\n          [1., 1., 1.],\n          [1., 1., 1.]]]])"]}, "current_outputs": ["71", "16", "17", "7", "15", "18", "61", "2", "12", "4", "11", "6", "9", "70", "3", "62", "80", "10", "1", "14", "19", "81", "13", "8", "5", "60"], "timestamp": 1791717009202}]]}, "meta": {}}