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Workflow fails after 140s or so on 4090 runpod. Its very weird cause opening the workflow in comfy and running it works. The issue is not related to RAM or VRAM, i've tried with 4090 60+ gb ram with 256x256 resolution and its still the same issue.
Workflow fails after 140s or so on 4090 runpod. Its very weird cause opening the workflow in comfy and running it works. The issue is not related to RAM or VRAM, i've tried with 4090 60+ gb ram with 256x256 resolution and its still the same issue.
Workflow:
Hunyuan-enhance-nolora.json
Installed packages:
torch==2.5.1
torchsde
torchvision==0.20.1
torchaudio==2.5.1
transformers==4.47.0
einops
transformers>=4.28.1
tokenizers>=0.13.3
sentencepiece
safetensors>=0.4.2
aiohttp
pyyaml
Pillow
scipy
tqdm
psutil
kornia>=0.7.1
spandrel
soundfile
opencv-python==4.10.0.84
imageio-ffmpeg==0.5.1
accelerate==1.2.1
diffusers==0.32.1
jax==0.4.38
jaxlib==0.4.38
ml-dtypes==0.5.1
opt-einsum==3.4.0
pillow>=11.1.0
color-matcher==0.5.0
imageio==2.36.1
docutils==0.21.2
ddt==1.7.2
matplotlib==3.10.0
contourpy==1.3.1
cycler==0.12.1
fonttools==4.55.3
kiwisolver==1.4.8
mss==10.0.0
imageio-ffmpeg==0.5.1
GitPython==3.1.44
PyGithub==2.5.0
matrix-client==0.4.0
GitPython
PyGithub
matrix-client==0.4.0
transformers
huggingface-hub>0.20
typer
rich
typing-extensions
toml
Error:
{"19709cef-812e-4e96-9be5-138d811223c9": {"prompt": [0, "19709cef-812e-4e96-9be5-138d811223c9", {"1": {"inputs": {"model": "hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors", "base_precision": "bf16", "quantization": "fp8_e4m3fn", "load_device": "offload_device", "attention_mode": "comfy", "auto_cpu_offload": false}, "class_type": "HyVideoModelLoader", "_meta": {"title": "HunyuanVideo Model Loader"}}, "2": {"inputs": {"enable_vae_tiling": true, "temporal_tiling_sample_size": 8, "spatial_tile_sample_min_size": 256, "auto_tile_size": true, "vae": ["3", 0], "samples": ["9", 0]}, "class_type": "HyVideoDecode", "_meta": {"title": "HunyuanVideo Decode"}}, "3": {"inputs": {"model_name": "hunyuan_video_vae_bf16.safetensors", "precision": "fp16"}, "class_type": "HyVideoVAELoader", "_meta": {"title": "HunyuanVideo VAE Loader"}}, "4": {"inputs": {"llm_model": "Kijai/llava-llama-3-8b-text-encoder-tokenizer", "clip_model": "openai/clip-vit-large-patch14", "precision": "fp16", "apply_final_norm": false, "hidden_state_skip_layer": 2, "quantization": "disabled"}, "class_type": "DownloadAndLoadHyVideoTextEncoder", "_meta": {"title": "(Down)Load HunyuanVideo TextEncoder"}}, "5": {"inputs": {"prompt": ["8", 0], "force_offload": true, "prompt_template": "video", "text_encoders": ["4", 0], "clip_l": ["7", 0]}, "class_type": "HyVideoTextEncode", "_meta": {"title": "HunyuanVideo TextEncode"}}, "6": {"inputs": {"weight": 4.0, "single_blocks": true, "double_blocks": true, "start_percent": 0.0, "end_percent": 0.8}, "class_type": "HyVideoEnhanceAVideo", "_meta": {"title": "HunyuanVideo Enhance A Video"}}, "7": {"inputs": {"clip_name1": "clip_l.safetensors", "clip_name2": "llava_llama3_fp8_scaled.safetensors", "type": "hunyuan_video"}, "class_type": "DualCLIPLoader", "_meta": {"title": "DualCLIPLoader"}}, "8": {"inputs": {"string": "Cute monkey"}, "class_type": "StringConstant", "_meta": {"title": "String Constant"}}, "9": {"inputs": {"width": 256, "height": 960, "num_frames": 49, "steps": 10, "embedded_guidance_scale": 6.0, "flow_shift": 9.0, "seed": 419538752392067, "force_offload": true, "denoise_strength": 1.0, "model": ["1", 0], "hyvid_embeds": ["5", 0], "feta_args": ["6", 0]}, "class_type": "HyVideoSampler", "_meta": {"title": "HunyuanVideo Sampler"}}, "10": {"inputs": {"frame_rate": 16.0, "loop_count": 0, "filename_prefix": "a4f14008-cc9c-4bc2-8992-d0b42c6f1adc", "format": "video/h264-mp4", "pix_fmt": "yuv420p", "crf": 19, "save_metadata": false, "trim_to_audio": false, "pingpong": false, "save_output": true, "images": ["2", 0]}, "class_type": "VHS_VideoCombine", "_meta": {"title": "Video Combine \u00f0\u0178\u017d\u00a5\u00f0\u0178\u2026\u00a5\u00f0\u0178\u2026\u2014\u00f0\u0178\u2026\u00a2"}}}, {}, ["10"]], "outputs": {}, "status": {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "19709cef-812e-4e96-9be5-138d811223c9", "timestamp": 1736757655659}], ["execution_cached", {"nodes": [], "prompt_id": "19709cef-812e-4e96-9be5-138d811223c9", "timestamp": 1736757655694}], ["execution_error", {"prompt_id": "19709cef-812e-4e96-9be5-138d811223c9", "node_id": "9", "node_type": "HyVideoSampler", "executed": ["5", "8", "7", "1", "3", "4", "6"], "exception_message": "None", "exception_type": "KeyError", "traceback": [" File "/workspace/ComfyUI/execution.py", line 327, in execute\n 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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File "/workspace/ComfyUI/execution.py", line 202, in get_output_data\n 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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File "/workspace/ComfyUI/execution.py", line 174, in _map_node_over_list\n process_inputs(input_dict, i)\n", " File "/workspace/ComfyUI/execution.py", line 163, in process_inputs\n results.append(getattr(obj, func)(**inputs))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File "/workspace/ComfyUI/custom_nodes/comfyui-hunyuanvideowrapper/nodes.py", line 1186, in process\n noise_scheduler = scheduler_mapping[scheduler].from_config(scheduler_config)\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n"], "current_inputs": {"width": [256], "height": [960], "num_frames": [49], "steps": [10], "embedded_guidance_scale": [6.0], "flow_shift": [9.0], "seed": [419538752392067], "force_offload": [true], "denoise_strength": [1.0], "model": ["<comfy.model_patcher.ModelPatcher object at 0x71912ac56cd0>"], "hyvid_embeds": ["{'prompt_embeds': tensor([[[-1.0518, 0.1661, 0.0185, ..., 0.4165, -0.9790, -0.2764],\n [-0.5215, -0.3088, 0.0719, ..., 0.0547, 0.0583, -0.3352],\n [-0.9360, 0.3672, -0.2634, ..., 0.2754, -0.7295, -0.5449],\n ...,\n [-0.3625, -0.2195, 0.1948, ..., 0.0221, -0.1300, 0.0028],\n [-0.3604, -0.2205, 0.1942, ..., 0.0215, -0.1274, 0.0067],\n [-0.3625, -0.2203, 0.1931, ..., 0.0226, -0.1270, 0.0085]]],\n device='cuda:0', dtype=torch.float16), 'negative_prompt_embeds': None, 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], device='cuda:0'), 'negative_attention_mask': None, 'prompt_embeds_2': tensor([[-2.0194e-02, -2.8888e-01, -2.0579e-01, -7.7006e-01, 1.7661e+00,\n 1.0612e+00, -1.2519e+00, 1.7392e+00, -4.1809e-01, 1.8882e+00,\n -1.9414e-01, 4.4584e-01, 7.5282e-01, -2.6012e+00, 1.1551e+00,\n -2.5599e-01, -1.1921e+00, -3.7094e-02, -6.3757e-01, -6.8804e-01,\n -1.0480e+00, -2.3331e+00, 3.9256e-01, 1.5001e+00, -7.5755e-01,\n 5.5861e-01, -7.3609e-02, -7.1489e-01, 6.7765e-01, -3.4560e-01,\n -6.4906e-01, 3.8469e-01, -5.7679e-01, -1.4148e+00, 1.4842e+00,\n -5.7450e-01, 4.0904e-01, -1.7375e+00, -4.6431e-01, 7.4386e-01,\n 2.3886e+00, -7.5757e-01, 4.8448e-01, -1.8687e+00, -3.4093e-01,\n -1.7191e+00, -1.0414e+00, 3.0335e-01, -1.7748e+00, -2.9220e+00,\n 1.3003e-02, 1.1794e+00, -9.8237e-01, 3.8260e-01, -1.4706e+00,\n 8.8294e-01, 4.8190e-01, 1.2146e-01, -2.2682e+00, 8.9558e-02,\n -4.0744e-01, -3.0272e-01, 7.1465e-01, 4.9205e-01, 1.6935e+00,\n -1.4457e+00, 1.3512e+00, -1.3472e-01, -1.6839e+00, -4.4131e-02,\n 3.5809e-01, 6.0770e-01, 3.2872e-01, -1.0210e+00, 4.6649e-01,\n -1.0325e+00, -9.5661e-01, 6.0399e-01, -1.3606e+00, -3.4423e-01,\n 1.7017e-01, 1.4563e+00, 1.3962e-01, 4.8085e-01, -1.3802e-01,\n -4.6046e-01, -2.2219e+00, -6.2578e-01, -9.3954e-01, 1.1107e-01,\n 1.7440e-01, -5.6070e-01, 1.3671e+00, -1.4820e-01, -9.7882e-02,\n -1.1593e+00, -1.0105e+00, -5.5084e-01, 1.0217e-02, -9.2796e-01,\n 9.1070e-01, 9.8845e-01, 3.6753e-02, -4.0496e-01, -6.0904e-01,\n -9.4278e-01, 3.8767e-01, 8.5248e-01, -1.0009e+00, -1.0382e+00,\n 1.0864e+00, 3.6907e-01, 8.7247e-01, -5.1122e-01, -2.8593e-01,\n -7.7001e-02, -6.4813e-01, 4.9694e-01, -3.0188e-01, -8.8019e-03,\n -1.0193e+00, 1.0304e+00, 7.7960e-01, -4.4099e-01, -1.5154e+00,\n -4.2628e-01, 2.6058e-01, -6.4820e-01, 1.1124e+00, 5.2176e-01,\n -3.8433e-01, -3.4850e-01, 1.1927e-01, -1.4647e-01, -7.9961e-01,\n -1.1936e+00, 1.9258e+00, 1.2343e+00, 1.1884e+00, -9.3800e-01,\n -1.0112e+00, 3.9821e-01, -7.3297e-01, 6.0645e-01, -5.6244e-01,\n 4.6454e-01, -1.4823e-01, 1.0291e+00, 5.4932e-01, -1.7362e+00,\n 5.5312e-01, -6.0468e-01, -3.5216e-01, 1.4588e+00, 6.9790e-02,\n 2.5712e+00, -1.3581e+00, -1.1459e+00, -1.2818e+00, -2.1010e+00,\n -2.0149e+00, 1.4666e+00, -1.0640e+00, 1.8262e+00, 3.4679e-01,\n 6.9252e-01, -1.3316e+00, -4.0969e-01, -7.6643e-01, -6.1422e-01,\n -1.5933e+00, 1.8877e+00, 4.7449e-03, 1.8327e-01, -1.7430e+00,\n -1.9977e-01, -2.0095e-01, 7.5322e-01, -6.5181e-01, -1.5569e+00,\n 1.8443e+00, 5.8346e-02, -4.3704e-01, 9.9459e-01, 2.6264e-01,\n 3.4705e-01, -4.9008e-01, -1.0818e+00, -7.8452e-01, -1.2428e+00,\n -2.2999e-01, 1.7927e+00, -5.1560e-01, -1.0574e+00, -7.1073e-01,\n -1.1052e-01, -1.6963e+00, -4.1387e-01, -1.4639e+00, 1.0991e+00,\n -7.1354e-01, 8.8840e-01, -3.6918e-02, -1.6583e-01, 4.4048e-01,\n 1.6532e-01, -1.2064e+00, 1.4691e+00, -1.1069e-01, 2.3491e-01,\n -6.4583e-02, 5.0030e-01, 1.0504e+00, -2.1619e-01, -7.9572e-01,\n -1.9993e-02, 4.7612e-01, -4.3882e-01, -1.1234e+00, 1.5444e-01,\n -1.4278e+00, 1.8709e+00, -1.4726e+00, 3.7627e-01, 8.4822e-01,\n 1.0188e+00, 7.2471e-01, -5.5969e-01, 3.0005e-01, -5.5570e-01,\n -1.6393e+00, -1.1510e+00, -2.1683e-01, 1.1224e+00, -5.2515e-01,\n -1.3917e+00, -4.5900e-02, -2.2450e-01, -2.3826e+00, 6.2060e-01,\n 2.0731e-01, -1.4358e-01, 1.8700e+00, 1.2232e+00, -8.1771e-01,\n 8.7137e-01, -5.9331e-01, -8.1200e-01, 3.2923e-01, -1.0026e+00,\n 2.2633e-02, 4.6989e-01, -7.8776e-02, 2.2776e-01, 1.0551e+00,\n -1.0004e+00, 3.6602e+00, -6.3126e-01, 1.3128e+00, 1.6609e-01,\n 3.9640e-01, 1.1346e+00, -1.5602e-01, -3.2876e-01, 3.9398e-01,\n 8.5500e-01, 2.1687e+00, -1.0620e+00, 7.8660e-01, 1.1281e+00,\n -1.0844e+00, 2.6424e-01, -8.4391e-01, 9.4481e-01, -4.5492e-01,\n -1.1072e-01, 1.5887e+00, -1.0752e+00, -1.4934e+00, 1.6941e+00,\n 1.3552e+00, 2.3697e+00, 1.8519e+00, -6.8878e-01, 5.2961e-01,\n 3.9285e-01, 1.0580e+00, -6.1181e-01, 1.9614e-01, -7.4348e-01,\n -1.2493e+00, 3.0285e-02, -1.8701e+00, 2.6190e-01, 2.0162e-01,\n -1.1606e+00, -3.6637e-01, -1.2653e+00, 2.5458e-01, 1.1766e+00,\n 7.2971e-01, -9.3887e-01, -1.4177e+00, 1.6589e+00, -1.7784e-01,\n 3.4522e-02, -6.6671e-01, 4.1250e-01, -7.6643e-01, -2.5723e+00,\n 4.3433e-01, -6.4683e-01, -1.6829e-01, -8.1406e-01, -6.5686e-01,\n -6.1576e-01, 5.5043e-01, -1.2571e+00, -5.1635e-01, -6.7840e-01,\n 1.9793e-01, 1.3644e-01, -7.1954e-01, 4.6383e-01, -1.0408e+00,\n -1.1410e+00, 1.4774e-01, -3.0710e-01, 1.0426e+00, -1.1986e+00,\n 5.5945e-01, -1.7859e-01, -1.5864e+00, -2.1589e+00, 1.2129e+00,\n 3.5508e-01, -1.1266e+00, 1.2066e+00, 1.0296e+00, 6.0207e-01,\n 5.8773e-01, 1.3178e+00, 3.5009e-01, -5.6555e-01, -5.4223e-02,\n -6.2895e-01, 6.6502e-01, 1.3543e+00, 4.8907e-01, -6.2124e-02,\n -1.2907e+00, -5.7518e-01, 8.5177e-01, 5.9501e-01, -4.2328e-01,\n -3.8816e-01, 6.3839e-01, -6.9683e-01, 2.2792e-01, -5.3886e-01,\n 4.8564e-01, -1.4170e+00, -2.2958e-01, 5.8619e-01, -9.2919e-02,\n -1.5105e-01, 1.0541e+00, -3.6654e-01, 4.2490e-01, -1.3398e+00,\n -2.7960e+00, -1.9783e+00, 2.6072e-01, -7.6778e-02, 1.3338e-01,\n 6.3703e-01, -9.8085e-01, 1.5638e+00, -1.7786e+00, -2.4272e-01,\n 9.5870e-01, 9.0193e-01, 1.8332e-01, 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device='cuda:0'), 'negative_prompt_embeds_2': None, 'attention_mask_2': None, 'negative_attention_mask_2': None, 'cfg': None, 'start_percent': None, 'end_percent': None}"], "feta_args": ["{'weight': 4.0, 'single_blocks': True, 'double_blocks': True, 'start_percent': 0.0, 'end_percent': 0.8}"]}, "current_outputs": ["8", "7", "9", "3", "1", "2", "5", "4", "6", "10"], "timestamp": 1736757801453}]]}, "meta": {}}, "cfc611b0-3802-42c1-a16d-19361ffcf023":
The text was updated successfully, but these errors were encountered: