Bonus TIPS:

The original workflow also does this though so probably not an issue with yours

You need to update the ComfyUI-HunyuanVideoWrapper, otherwise it'll think you're trying to do vid2vid and fail because the video length doesn't match the input length (1 single image = 1 frame). That's why it doesn't fail if you set the length to 1.

@half_real Yeah I realized that after posting this thanks.

1, although you can try setting to to something close to 1 like 0.95 to experiment.

Only works if I will update kijai's node?

@midiaplaay yes

@LatentDream :

# ComfyUI Error Report

## Error Details

- Node ID: 30

- Node Type: HyVideoTextEncode

- Exception Type: IndexError

- Exception Message: list index out of range

## Stack Trace

```

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 884, in process

prompt_embeds, negative_prompt_embeds, attention_mask, negative_attention_mask = encode_prompt(self,

^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 809, in encode_prompt

text_inputs = text_encoder.text2tokens(prompt,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 253, in text2tokens

text_tokens = self.processor(

^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\llava\processing_llava.py", line 145, in call

image_inputs = self.image_processor(images, **output_kwargs["images_kwargs"])

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_processing_utils.py", line 41, in call

return self.preprocess(images, **kwargs)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\clip\image_processing_clip.py", line 286, in preprocess

images = make_list_of_images(images)

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_utils.py", line 185, in make_list_of_images

if is_batched(images):

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_utils.py", line 158, in is_batched

return is_valid_image(img[0])

~~~^^^

```

## System Information

- ComfyUI Version: 0.3.12

- Arguments: ComfyUI\main.py

- OS: nt

- Python Version: 3.12.7 (tags/v3.12.7:0b05ead, Oct 1 2024, 03:06:41) [MSC v.1941 64 bit (AMD64)]

- Embedded Python: true

- PyTorch Version: 2.5.1+cu124

## Devices

- Name: cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync

- Type: cuda

- VRAM Total: 25756696576

- VRAM Free: 6986435724

- Torch VRAM Total: 17012097024

- Torch VRAM Free: 21793932

## Logs

```

2025-01-25T18:34:01.701305 - To see the GUI go to: http://127.0.0.1:8188

2025-01-25T18:34:04.631935 - FETCH ComfyRegistry Data: 5/312025-01-25T18:34:04.631935 -

2025-01-25T18:34:10.398169 - got prompt

2025-01-25T18:34:11.839896 - FETCH ComfyRegistry Data: 10/312025-01-25T18:34:11.839896 -

2025-01-25T18:34:12.148021 - encoded latents shape2025-01-25T18:34:12.148021 - 2025-01-25T18:34:12.148021 - torch.Size([1, 16, 1, 60, 40])2025-01-25T18:34:12.148021 -

2025-01-25T18:34:12.149021 - Loading text encoder model (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T18:34:12.385548 - Text encoder to dtype: torch.float16

2025-01-25T18:34:12.413549 - Loading tokenizer (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T18:34:12.466549 - Using a slow image processor as use_fast is unset and a slow processor was saved with this model. use_fast=True will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with use_fast=False.

2025-01-25T18:34:12.469549 - You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the legacy (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set legacy=False. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message.

2025-01-25T18:34:13.117297 - Loading text encoder model (vlm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers

2025-01-25T18:34:17.019510 -

Loading checkpoint shards: 25%|██████████████▎ | 1/4 [00:03<00:11, 3.72s/it]2025-01-25T18:34:19.382231 - FETCH ComfyRegistry Data: 15/312025-01-25T18:34:19.383229 -

2025-01-25T18:34:26.295366 - FETCH ComfyRegistry Data: 20/312025-01-25T18:34:26.295366 -

2025-01-25T18:34:28.945992 -

Loading checkpoint shards: 50%|████████████████████████████▌ | 2/4 [00:15<00:17, 8.55s/it]2025-01-25T18:34:32.952776 - FETCH ComfyRegistry Data: 25/312025-01-25T18:34:32.952776 -

2025-01-25T18:34:40.382987 - FETCH ComfyRegistry Data: 30/312025-01-25T18:34:40.382987 -

2025-01-25T18:34:42.028020 - FETCH ComfyRegistry Data [DONE]2025-01-25T18:34:42.028020 -

2025-01-25T18:34:42.064671 - [ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes

2025-01-25T18:34:42.109674 - nightly_channel: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/remote

2025-01-25T18:34:42.109674 - FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json2025-01-25T18:34:42.109674 - 2025-01-25T18:34:42.302671 - [DONE]2025-01-25T18:34:42.302671 -

2025-01-25T18:34:49.535974 -

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:36<00:00, 9.06s/it]2025-01-25T18:34:49.536973 -

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:36<00:00, 9.06s/it]2025-01-25T18:34:49.536973 -

2025-01-25T18:35:02.702413 - Text encoder to dtype: torch.float16

2025-01-25T18:35:05.675424 - Loading tokenizer (vlm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers

2025-01-25T18:35:05.912915 - !!! Exception during processing !!! list index out of range

2025-01-25T18:35:05.914818 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 884, in process

prompt_embeds, negative_prompt_embeds, attention_mask, negative_attention_mask = encode_prompt(self,

^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 809, in encode_prompt

text_inputs = text_encoder.text2tokens(prompt,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 253, in text2tokens

text_tokens = self.processor(

^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\llava\processing_llava.py", line 145, in call

image_inputs = self.image_processor(images, **output_kwargs["images_kwargs"])

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_processing_utils.py", line 41, in call

return self.preprocess(images, **kwargs)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\clip\image_processing_clip.py", line 286, in preprocess

images = make_list_of_images(images)

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_utils.py", line 185, in make_list_of_images

if is_batched(images):

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_utils.py", line 158, in is_batched

return is_valid_image(img[0])

~~~^^^

IndexError: list index out of range

2025-01-25T18:35:05.916816 - Prompt executed in 55.51 seconds

2025-01-25T18:40:54.194053 - got prompt

2025-01-25T18:40:54.201565 - Failed to validate prompt for output 81:

2025-01-25T18:40:54.201565 - * HyVideoTextEncode 82:

2025-01-25T18:40:54.201565 - - Required input is missing: text_encoders

2025-01-25T18:40:54.201565 - Output will be ignored

2025-01-25T18:40:54.203566 - Failed to validate prompt for output 62:

2025-01-25T18:40:54.203566 - Output will be ignored

2025-01-25T18:40:54.205567 - Failed to validate prompt for output 34:

2025-01-25T18:40:54.205567 - Output will be ignored

2025-01-25T18:40:54.205567 - invalid prompt: {'type': 'prompt_outputs_failed_validation', 'message': 'Prompt outputs failed validation', 'details': '', 'extra_info': {}}

2025-01-25T18:41:11.989066 - got prompt

2025-01-25T18:41:12.275693 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

2025-01-25T18:41:12.276693 - clip missing: ['text_model.embeddings.token_embedding.weight', 'text_model.embeddings.position_embedding.weight', 'text_model.encoder.layers.0.layer_norm1.weight', 'text_model.encoder.layers.0.layer_norm1.bias', 'text_model.encoder.layers.0.self_attn.q_proj.weight', 'text_model.encoder.layers.0.self_attn.q_proj.bias', 'text_model.encoder.layers.0.self_attn.k_proj.weight', 'text_model.encoder.layers.0.self_attn.k_proj.bias', 'text_model.encoder.layers.0.self_attn.v_proj.weight', 'text_model.encoder.layers.0.self_attn.v_proj.bias', 'text_model.encoder.layers.0.self_attn.out_proj.weight', 'text_model.encoder.layers.0.self_attn.out_proj.bias', 'text_model.encoder.layers.0.layer_norm2.weight', 'text_model.encoder.layers.0.layer_norm2.bias', 'text_model.encoder.layers.0.mlp.fc1.weight', 'text_model.encoder.layers.0.mlp.fc1.bias', 'text_model.encoder.layers.0.mlp.fc2.weight', 'text_model.encoder.layers.0.mlp.fc2.bias', 'text_model.encoder.layers.1.layer_norm1.weight', 'text_model.encoder.layers.1.layer_norm1.bias', 'text_model.encoder.layers.1.self_attn.q_proj.weight', 'text_model.encoder.layers.1.self_attn.q_proj.bias', 'text_model.encoder.layers.1.self_attn.k_proj.weight', 'text_model.encoder.layers.1.self_attn.k_proj.bias', 'text_model.encoder.layers.1.self_attn.v_proj.weight', 'text_model.encoder.layers.1.self_attn.v_proj.bias', 'text_model.encoder.layers.1.self_attn.out_proj.weight', 'text_model.encoder.layers.1.self_attn.out_proj.bias', 'text_model.encoder.layers.1.layer_norm2.weight', 'text_model.encoder.layers.1.layer_norm2.bias', 'text_model.encoder.layers.1.mlp.fc1.weight', 'text_model.encoder.layers.1.mlp.fc1.bias', 'text_model.encoder.layers.1.mlp.fc2.weight', 'text_model.encoder.layers.1.mlp.fc2.bias', 'text_model.encoder.layers.2.layer_norm1.weight', 'text_model.encoder.layers.2.layer_norm1.bias', 'text_model.encoder.layers.2.self_attn.q_proj.weight', 'text_model.encoder.layers.2.self_attn.q_proj.bias', 'text_model.encoder.layers.2.self_attn.k_proj.weight', 'text_model.encoder.layers.2.self_attn.k_proj.bias', 'text_model.encoder.layers.2.self_attn.v_proj.weight', 'text_model.encoder.layers.2.self_attn.v_proj.bias', 'text_model.encoder.layers.2.self_attn.out_proj.weight', 'text_model.encoder.layers.2.self_attn.out_proj.bias', 'text_model.encoder.layers.2.layer_norm2.weight', 'text_model.encoder.layers.2.layer_norm2.bias', 'text_model.encoder.layers.2.mlp.fc1.weight', 'text_model.encoder.layers.2.mlp.fc1.bias', 'text_model.encoder.layers.2.mlp.fc2.weight', 'text_model.encoder.layers.2.mlp.fc2.bias', 'text_model.encoder.layers.3.layer_norm1.weight', 'text_model.encoder.layers.3.layer_norm1.bias', 'text_model.encoder.layers.3.self_attn.q_proj.weight', 'text_model.encoder.layers.3.self_attn.q_proj.bias', 'text_model.encoder.layers.3.self_attn.k_proj.weight', 'text_model.encoder.layers.3.self_attn.k_proj.bias', 'text_model.encoder.layers.3.self_attn.v_proj.weight', 'text_model.encoder.layers.3.self_attn.v_proj.bias', 'text_model.encoder.layers.3.self_attn.out_proj.weight', 'text_model.encoder.layers.3.self_attn.out_proj.bias', 'text_model.encoder.layers.3.layer_norm2.weight', 'text_model.encoder.layers.3.layer_norm2.bias', 'text_model.encoder.layers.3.mlp.fc1.weight', 'text_model.encoder.layers.3.mlp.fc1.bias', 'text_model.encoder.layers.3.mlp.fc2.weight', 'text_model.encoder.layers.3.mlp.fc2.bias', 'text_model.encoder.layers.4.layer_norm1.weight', 'text_model.encoder.layers.4.layer_norm1.bias', 'text_model.encoder.layers.4.self_attn.q_proj.weight', 'text_model.encoder.layers.4.self_attn.q_proj.bias', 'text_model.encoder.layers.4.self_attn.k_proj.weight', 'text_model.encoder.layers.4.self_attn.k_proj.bias', 'text_model.encoder.layers.4.self_attn.v_proj.weight', 'text_model.encoder.layers.4.self_attn.v_proj.bias', 'text_model.encoder.layers.4.self_attn.out_proj.weight', 'text_model.encoder.layers.4.self_attn.out_proj.bias', 'text_model.encoder.layers.4.layer_norm2.weight', 'text_model.encoder.layers.4.layer_norm2.bias', 'text_model.encoder.layers.4.mlp.fc1.weight', 'text_model.encoder.layers.4.mlp.fc1.bias', 'text_model.encoder.layers.4.mlp.fc2.weight', 'text_model.encoder.layers.4.mlp.fc2.bias', 'text_model.encoder.layers.5.layer_norm1.weight', 'text_model.encoder.layers.5.layer_norm1.bias', 'text_model.encoder.layers.5.self_attn.q_proj.weight', 'text_model.encoder.layers.5.self_attn.q_proj.bias', 'text_model.encoder.layers.5.self_attn.k_proj.weight', 'text_model.encoder.layers.5.self_attn.k_proj.bias', 'text_model.encoder.layers.5.self_attn.v_proj.weight', 'text_model.encoder.layers.5.self_attn.v_proj.bias', 'text_model.encoder.layers.5.self_attn.out_proj.weight', 'text_model.encoder.layers.5.self_attn.out_proj.bias', 'text_model.encoder.layers.5.layer_norm2.weight', 'text_model.encoder.layers.5.layer_norm2.bias', 'text_model.encoder.layers.5.mlp.fc1.weight', 'text_model.encoder.layers.5.mlp.fc1.bias', 'text_model.encoder.layers.5.mlp.fc2.weight', 'text_model.encoder.layers.5.mlp.fc2.bias', 'text_model.encoder.layers.6.layer_norm1.weight', 'text_model.encoder.layers.6.layer_norm1.bias', 'text_model.encoder.layers.6.self_attn.q_proj.weight', 'text_model.encoder.layers.6.self_attn.q_proj.bias', 'text_model.encoder.layers.6.self_attn.k_proj.weight', 'text_model.encoder.layers.6.self_attn.k_proj.bias', 'text_model.encoder.layers.6.self_attn.v_proj.weight', 'text_model.encoder.layers.6.self_attn.v_proj.bias', 'text_model.encoder.layers.6.self_attn.out_proj.weight', 'text_model.encoder.layers.6.self_attn.out_proj.bias', 'text_model.encoder.layers.6.layer_norm2.weight', 'text_model.encoder.layers.6.layer_norm2.bias', 'text_model.encoder.layers.6.mlp.fc1.weight', 'text_model.encoder.layers.6.mlp.fc1.bias', 'text_model.encoder.layers.6.mlp.fc2.weight', 'text_model.encoder.layers.6.mlp.fc2.bias', 'text_model.encoder.layers.7.layer_norm1.weight', 'text_model.encoder.layers.7.layer_norm1.bias', 'text_model.encoder.layers.7.self_attn.q_proj.weight', 'text_model.encoder.layers.7.self_attn.q_proj.bias', 'text_model.encoder.layers.7.self_attn.k_proj.weight', 'text_model.encoder.layers.7.self_attn.k_proj.bias', 'text_model.encoder.layers.7.self_attn.v_proj.weight', 'text_model.encoder.layers.7.self_attn.v_proj.bias', 'text_model.encoder.layers.7.self_attn.out_proj.weight', 'text_model.encoder.layers.7.self_attn.out_proj.bias', 'text_model.encoder.layers.7.layer_norm2.weight', 'text_model.encoder.layers.7.layer_norm2.bias', 'text_model.encoder.layers.7.mlp.fc1.weight', 'text_model.encoder.layers.7.mlp.fc1.bias', 'text_model.encoder.layers.7.mlp.fc2.weight', 'text_model.encoder.layers.7.mlp.fc2.bias', 'text_model.encoder.layers.8.layer_norm1.weight', 'text_model.encoder.layers.8.layer_norm1.bias', 'text_model.encoder.layers.8.self_attn.q_proj.weight', 'text_model.encoder.layers.8.self_attn.q_proj.bias', 'text_model.encoder.layers.8.self_attn.k_proj.weight', 'text_model.encoder.layers.8.self_attn.k_proj.bias', 'text_model.encoder.layers.8.self_attn.v_proj.weight', 'text_model.encoder.layers.8.self_attn.v_proj.bias', 'text_model.encoder.layers.8.self_attn.out_proj.weight', 'text_model.encoder.layers.8.self_attn.out_proj.bias', 'text_model.encoder.layers.8.layer_norm2.weight', 'text_model.encoder.layers.8.layer_norm2.bias', 'text_model.encoder.layers.8.mlp.fc1.weight', 'text_model.encoder.layers.8.mlp.fc1.bias', 'text_model.encoder.layers.8.mlp.fc2.weight', 'text_model.encoder.layers.8.mlp.fc2.bias', 'text_model.encoder.layers.9.layer_norm1.weight', 'text_model.encoder.layers.9.layer_norm1.bias', 'text_model.encoder.layers.9.self_attn.q_proj.weight', 'text_model.encoder.layers.9.self_attn.q_proj.bias', 'text_model.encoder.layers.9.self_attn.k_proj.weight', 'text_model.encoder.layers.9.self_attn.k_proj.bias', 'text_model.encoder.layers.9.self_attn.v_proj.weight', 'text_model.encoder.layers.9.self_attn.v_proj.bias', 'text_model.encoder.layers.9.self_attn.out_proj.weight', 'text_model.encoder.layers.9.self_attn.out_proj.bias', 'text_model.encoder.layers.9.layer_norm2.weight', 'text_model.encoder.layers.9.layer_norm2.bias', 'text_model.encoder.layers.9.mlp.fc1.weight', 'text_model.encoder.layers.9.mlp.fc1.bias', 'text_model.encoder.layers.9.mlp.fc2.weight', 'text_model.encoder.layers.9.mlp.fc2.bias', 'text_model.encoder.layers.10.layer_norm1.weight', 'text_model.encoder.layers.10.layer_norm1.bias', 'text_model.encoder.layers.10.self_attn.q_proj.weight', 'text_model.encoder.layers.10.self_attn.q_proj.bias', 'text_model.encoder.layers.10.self_attn.k_proj.weight', 'text_model.encoder.layers.10.self_attn.k_proj.bias', 'text_model.encoder.layers.10.self_attn.v_proj.weight', 'text_model.encoder.layers.10.self_attn.v_proj.bias', 'text_model.encoder.layers.10.self_attn.out_proj.weight', 'text_model.encoder.layers.10.self_attn.out_proj.bias', 'text_model.encoder.layers.10.layer_norm2.weight', 'text_model.encoder.layers.10.layer_norm2.bias', 'text_model.encoder.layers.10.mlp.fc1.weight', 'text_model.encoder.layers.10.mlp.fc1.bias', 'text_model.encoder.layers.10.mlp.fc2.weight', 'text_model.encoder.layers.10.mlp.fc2.bias', 'text_model.encoder.layers.11.layer_norm1.weight', 'text_model.encoder.layers.11.layer_norm1.bias', 'text_model.encoder.layers.11.self_attn.q_proj.weight', 'text_model.encoder.layers.11.self_attn.q_proj.bias', 'text_model.encoder.layers.11.self_attn.k_proj.weight', 'text_model.encoder.layers.11.self_attn.k_proj.bias', 'text_model.encoder.layers.11.self_attn.v_proj.weight', 'text_model.encoder.layers.11.self_attn.v_proj.bias', 'text_model.encoder.layers.11.self_attn.out_proj.weight', 'text_model.encoder.layers.11.self_attn.out_proj.bias', 'text_model.encoder.layers.11.layer_norm2.weight', 'text_model.encoder.layers.11.layer_norm2.bias', 'text_model.encoder.layers.11.mlp.fc1.weight', 'text_model.encoder.layers.11.mlp.fc1.bias', 'text_model.encoder.layers.11.mlp.fc2.weight', 'text_model.encoder.layers.11.mlp.fc2.bias', 'text_model.final_layer_norm.weight', 'text_model.final_layer_norm.bias', 'text_projection.weight']

2025-01-25T18:41:12.407692 - clip missing: ['text_projection.weight']

2025-01-25T18:41:12.442692 - SELECTED: input12025-01-25T18:41:12.442692 -

2025-01-25T18:41:12.442692 - ImpactSwitch: invalid select index (ignored)2025-01-25T18:41:12.442692 -

2025-01-25T18:41:12.443692 - !!! Exception during processing !!! 'NoneType' object is not subscriptable

2025-01-25T18:41:12.444693 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 772, in process

text_encoder_1 = text_encoders["text_encoder"]

~~~~~~~~~~~~~^^^^^^^^^^^^^^^^

TypeError: 'NoneType' object is not subscriptable

2025-01-25T18:41:12.444693 - Prompt executed in 0.38 seconds

2025-01-25T18:41:25.575186 - got prompt

2025-01-25T18:41:25.730184 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

2025-01-25T18:41:25.940183 - !!! Exception during processing !!! Error(s) in loading state_dict for CLIPTextModel:

size mismatch for text_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([77, 768]) from checkpoint, the shape in current model is torch.Size([248, 768]).

2025-01-25T18:41:25.950183 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", line 986, in load_clip

clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type, model_options=model_options)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 666, in load_clip

return load_text_encoder_state_dicts(clip_data, embedding_directory=embedding_directory, clip_type=clip_type, model_options=model_options)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 808, in load_text_encoder_state_dicts

m, u = clip.load_sd(c)

^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 232, in load_sd

return self.cond_stage_model.load_sd(sd)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sdxl_clip.py", line 69, in load_sd

return self.clip_l.load_sd(sd)

^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 255, in load_sd

return self.transformer.load_state_dict(sd, strict=False)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 2584, in load_state_dict

raise RuntimeError(

RuntimeError: Error(s) in loading state_dict for CLIPTextModel:

size mismatch for text_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([77, 768]) from checkpoint, the shape in current model is torch.Size([248, 768]).

2025-01-25T18:41:25.951184 - Prompt executed in 0.34 seconds

2025-01-25T18:41:34.605313 - got prompt

2025-01-25T18:41:34.792313 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

2025-01-25T18:41:35.042511 - !!! Exception during processing !!! Error(s) in loading state_dict for CLIPTextModel:

size mismatch for text_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([77, 768]) from checkpoint, the shape in current model is torch.Size([248, 768]).

2025-01-25T18:41:35.043511 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", line 986, in load_clip

clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type, model_options=model_options)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 666, in load_clip

return load_text_encoder_state_dicts(clip_data, embedding_directory=embedding_directory, clip_type=clip_type, model_options=model_options)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 808, in load_text_encoder_state_dicts

m, u = clip.load_sd(c)

^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 232, in load_sd

return self.cond_stage_model.load_sd(sd)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sdxl_clip.py", line 69, in load_sd

return self.clip_l.load_sd(sd)

^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 255, in load_sd

return self.transformer.load_state_dict(sd, strict=False)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 2584, in load_state_dict

raise RuntimeError(

RuntimeError: Error(s) in loading state_dict for CLIPTextModel:

size mismatch for text_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([77, 768]) from checkpoint, the shape in current model is torch.Size([248, 768]).

2025-01-25T18:41:35.044512 - Prompt executed in 0.38 seconds

2025-01-25T18:41:41.825192 - got prompt

2025-01-25T18:41:42.025193 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

2025-01-25T18:41:42.468192 - !!! Exception during processing !!! 'NoneType' object is not subscriptable

2025-01-25T18:41:42.469193 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 772, in process

text_encoder_1 = text_encoders["text_encoder"]

~~~~~~~~~~~~~^^^^^^^^^^^^^^^^

TypeError: 'NoneType' object is not subscriptable

2025-01-25T18:41:42.470193 - Prompt executed in 0.58 seconds

2025-01-25T18:41:52.510662 - got prompt

2025-01-25T18:41:52.571661 - !!! Exception during processing !!! 'NoneType' object is not subscriptable

2025-01-25T18:41:52.571661 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 772, in process

text_encoder_1 = text_encoders["text_encoder"]

~~~~~~~~~~~~~^^^^^^^^^^^^^^^^

TypeError: 'NoneType' object is not subscriptable

2025-01-25T18:41:52.572662 - Prompt executed in 0.01 seconds

2025-01-25T18:42:00.162119 - got prompt

2025-01-25T18:42:00.245117 - !!! Exception during processing !!! 'NoneType' object is not subscriptable

2025-01-25T18:42:00.245117 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 772, in process

text_encoder_1 = text_encoders["text_encoder"]

~~~~~~~~~~~~~^^^^^^^^^^^^^^^^

TypeError: 'NoneType' object is not subscriptable

2025-01-25T18:42:00.246118 - Prompt executed in 0.02 seconds

2025-01-25T18:42:21.879853 - got prompt

2025-01-25T18:42:21.963853 - !!! Exception during processing !!! 'NoneType' object is not subscriptable

2025-01-25T18:42:21.964853 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 772, in process

text_encoder_1 = text_encoders["text_encoder"]

~~~~~~~~~~~~~^^^^^^^^^^^^^^^^

TypeError: 'NoneType' object is not subscriptable

2025-01-25T18:42:21.965853 - Prompt executed in 0.04 seconds

2025-01-25T18:44:57.676971 - got prompt

2025-01-25T18:44:57.938770 - D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-impact-subpack\modules\subcore.py:150: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.

return orig_torch_load(*args, **kwargs) # NOTE: This code simply delegates the call to torch.load, and any errors that occur here are not the responsibility of Subpack.

2025-01-25T18:44:58.805538 - Loads SAM model: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\sams\sam_vit_b_01ec64.pth (device:AUTO)2025-01-25T18:44:58.805538 -

2025-01-25T18:44:59.431492 - model weight dtype torch.float16, manual cast: None

2025-01-25T18:44:59.433491 - model_type EPS

2025-01-25T18:45:17.539870 - Using pytorch attention in VAE

2025-01-25T18:45:17.540869 - Using pytorch attention in VAE

2025-01-25T18:45:18.263869 - VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16

2025-01-25T18:45:18.402869 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

2025-01-25T18:45:27.818869 - Requested to load SDXLClipModel

2025-01-25T18:45:29.854869 - loaded completely 9.5367431640625e+25 1560.802734375 True

2025-01-25T18:45:29.963870 - Token indices sequence length is longer than the specified maximum sequence length for this model (134 > 77). Running this sequence through the model will result in indexing errors

2025-01-25T18:45:29.966870 - Token indices sequence length is longer than the specified maximum sequence length for this model (134 > 77). Running this sequence through the model will result in indexing errors

2025-01-25T18:45:30.013870 - Requested to load SDXL

2025-01-25T18:45:35.282869 - loaded completely 9.5367431640625e+25 4897.0483474731445 True

2025-01-25T18:45:57.049527 -

100%|██████████████████████████████████████████████████████████████████████████████████| 30/30 [00:21<00:00, 1.73it/s]2025-01-25T18:45:57.049527 -

100%|██████████████████████████████████████████████████████████████████████████████████| 30/30 [00:21<00:00, 1.38it/s]2025-01-25T18:45:57.049527 -

2025-01-25T18:45:57.050529 - Requested to load AutoencoderKL

2025-01-25T18:45:57.077528 - loaded completely 9.5367431640625e+25 159.55708122253418 True

2025-01-25T18:46:00.209889 - [Impact Pack] WARN: FaceDetailer is not a node designed for video detailing. If you intend to perform video detailing, please use Detailer For AnimateDiff.2025-01-25T18:46:00.209889 -

2025-01-25T18:46:00.881889 -

2025-01-25T18:46:01.113889 - 0: 640x512 1 face, 39.0ms

2025-01-25T18:46:01.114890 - Speed: 3.0ms preprocess, 39.0ms inference, 13.0ms postprocess per image at shape (1, 3, 640, 512)

2025-01-25T18:46:07.191319 - Detailer: segment skip (enough big)2025-01-25T18:46:07.191319 -

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2025-01-25T18:46:07.722067 - 0: 640x512 1 face, 12.0ms

2025-01-25T18:46:07.722067 - Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 512)

2025-01-25T18:46:13.477369 - Detailer: segment skip (enough big)2025-01-25T18:46:13.478368 -

2025-01-25T18:46:17.420695 - Prompt executed in 79.74 seconds

2025-01-25T18:53:11.707762 - QualityOfLifeSuit_Omar92::NSP ready2025-01-25T18:53:11.707762 -

2025-01-25T18:53:11.708762 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T18:53:11.708762 -

2025-01-25T18:53:11.708762 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T18:53:11.708762 -

2025-01-25T18:53:11.708762 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T18:53:11.709763 -

2025-01-25T18:53:11.710763 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T18:53:11.710763 -

2025-01-25T18:53:11.710763 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T18:53:11.710763 -

2025-01-25T18:53:11.711763 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T18:53:11.711763 -

2025-01-25T18:53:59.798759 - got prompt

2025-01-25T18:53:59.857812 - Requested to load SDXL

2025-01-25T18:54:01.722751 - loaded completely 9.5367431640625e+25 4897.0483474731445 True

2025-01-25T18:54:23.054398 -

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2025-01-25T18:54:23.055389 - Requested to load AutoencoderKL

2025-01-25T18:54:23.082389 - loaded completely 9.5367431640625e+25 159.55708122253418 True

2025-01-25T18:54:25.899578 - [Impact Pack] WARN: FaceDetailer is not a node designed for video detailing. If you intend to perform video detailing, please use Detailer For AnimateDiff.2025-01-25T18:54:25.900578 -

2025-01-25T18:54:26.308578 -

2025-01-25T18:54:26.416606 - 0: 640x512 1 face, 6.0ms

2025-01-25T18:54:26.416606 - Speed: 3.0ms preprocess, 6.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 512)

2025-01-25T18:54:31.821300 - Detailer: segment skip (enough big)2025-01-25T18:54:31.821300 -

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2025-01-25T18:54:32.355827 - 0: 640x512 1 face, 12.0ms

2025-01-25T18:54:32.355827 - Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 512)

2025-01-25T18:54:38.777957 - Detailer: segment skip (enough big)2025-01-25T18:54:38.778957 -

2025-01-25T18:54:41.712759 - Prompt executed in 41.91 seconds

2025-01-25T18:55:17.230228 - got prompt

2025-01-25T18:55:17.242227 - D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-impact-subpack\modules\subcore.py:150: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.

return orig_torch_load(*args, **kwargs) # NOTE: This code simply delegates the call to torch.load, and any errors that occur here are not the responsibility of Subpack.

2025-01-25T18:55:17.865228 - Requested to load SDXL

2025-01-25T18:55:19.617228 - loaded completely 9.5367431640625e+25 4897.0483474731445 True

2025-01-25T18:55:41.400761 -

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2025-01-25T18:55:41.401762 - Requested to load AutoencoderKL

2025-01-25T18:55:41.426761 - loaded completely 9.5367431640625e+25 159.55708122253418 True

2025-01-25T18:55:43.512761 - [Impact Pack] WARN: FaceDetailer is not a node designed for video detailing. If you intend to perform video detailing, please use Detailer For AnimateDiff.2025-01-25T18:55:43.512761 -

2025-01-25T18:55:43.941761 -

2025-01-25T18:55:44.068761 - 0: 640x512 1 face, 7.0ms

2025-01-25T18:55:44.068761 - Speed: 2.0ms preprocess, 7.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 512)

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2025-01-25T18:55:53.079036 - 0: 640x512 1 face, 35.0ms

2025-01-25T18:55:53.079036 - Speed: 5.0ms preprocess, 35.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 512)

2025-01-25T18:56:00.344663 - Detailer: segment skip (enough big)2025-01-25T18:56:00.344663 -

2025-01-25T18:56:02.590730 - Prompt executed in 45.36 seconds

2025-01-25T19:00:45.220629 - got prompt

2025-01-25T19:00:45.226629 - D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-impact-subpack\modules\subcore.py:150: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.

return orig_torch_load(*args, **kwargs) # NOTE: This code simply delegates the call to torch.load, and any errors that occur here are not the responsibility of Subpack.

2025-01-25T19:00:45.254629 - Requested to load SDXL

2025-01-25T19:00:46.888821 - loaded completely 9.5367431640625e+25 4897.0483474731445 True

2025-01-25T19:01:07.844479 -

100%|██████████████████████████████████████████████████████████████████████████████████| 30/30 [00:20<00:00, 1.76it/s]2025-01-25T19:01:07.844479 -

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2025-01-25T19:01:07.845480 - Requested to load AutoencoderKL

2025-01-25T19:01:07.869479 - loaded completely 9.5367431640625e+25 159.55708122253418 True

2025-01-25T19:01:09.907526 - [Impact Pack] WARN: FaceDetailer is not a node designed for video detailing. If you intend to perform video detailing, please use Detailer For AnimateDiff.2025-01-25T19:01:09.907526 -

2025-01-25T19:01:10.292541 -

2025-01-25T19:01:10.388521 - 0: 640x512 1 face, 5.0ms

2025-01-25T19:01:10.388521 - Speed: 3.0ms preprocess, 5.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 512)

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2025-01-25T19:01:17.687428 - Speed: 5.0ms preprocess, 34.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 512)

2025-01-25T19:01:23.804062 - Detailer: segment skip (enough big)2025-01-25T19:01:23.804062 -

2025-01-25T19:01:26.037471 - Prompt executed in 40.81 seconds

2025-01-25T19:03:06.877927 - got prompt

2025-01-25T19:03:08.848329 - encoded latents shape2025-01-25T19:03:08.849329 - 2025-01-25T19:03:08.849329 - torch.Size([1, 16, 1, 60, 40])2025-01-25T19:03:08.849329 -

2025-01-25T19:03:08.850329 - Loading text encoder model (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:03:09.122335 - Text encoder to dtype: torch.float16

2025-01-25T19:03:09.151330 - Loading tokenizer (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:03:09.201329 - Loading text encoder model (llm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-text-encoder-tokenizer

2025-01-25T19:03:09.230336 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:03:09.230336 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:03:09.230336 -

2025-01-25T19:03:09.230336 - !!! Exception during processing !!! No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:03:09.232336 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 684, in loadmodel

text_encoder = TextEncoder(

^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 167, in init

self.model, self.model_path = load_text_encoder(

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 39, in load_text_encoder

text_encoder = AutoModel.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 564, in from_pretrained

return model_class.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4224, in from_pretrained

) = cls._load_pretrained_model(

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4770, in loadpretrained_model

state_dict = load_state_dict(

^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 504, in load_state_dict

with safe_open(checkpoint_file, framework="pt") as f:

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

FileNotFoundError: No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:03:09.234336 - Prompt executed in 2.35 seconds

2025-01-25T19:03:53.774329 - got prompt

2025-01-25T19:03:53.799328 - Loading text encoder model (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:03:54.122327 - Text encoder to dtype: torch.float16

2025-01-25T19:03:54.220327 - Loading tokenizer (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:03:54.273328 - Loading text encoder model (llm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-text-encoder-tokenizer

2025-01-25T19:03:54.298328 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:03:54.299329 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:03:54.299329 -

2025-01-25T19:03:54.299329 - !!! Exception during processing !!! No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:03:54.300327 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 684, in loadmodel

text_encoder = TextEncoder(

^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 167, in init

self.model, self.model_path = load_text_encoder(

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 39, in load_text_encoder

text_encoder = AutoModel.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 564, in from_pretrained

return model_class.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4224, in from_pretrained

) = cls._load_pretrained_model(

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4770, in loadpretrained_model

state_dict = load_state_dict(

^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 504, in load_state_dict

with safe_open(checkpoint_file, framework="pt") as f:

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

FileNotFoundError: No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:03:54.301328 - Prompt executed in 0.52 seconds

2025-01-25T19:03:56.297911 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:03:56.297911 -

2025-01-25T19:03:56.297911 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:03:56.298924 -

2025-01-25T19:03:56.298924 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:03:56.298924 -

2025-01-25T19:03:56.298924 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:03:56.298924 -

2025-01-25T19:03:56.298924 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:03:56.298924 -

2025-01-25T19:03:56.298924 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:03:56.298924 -

2025-01-25T19:03:58.126882 - got prompt

2025-01-25T19:03:58.149881 - Loading text encoder model (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:03:58.386882 - Text encoder to dtype: torch.float16

2025-01-25T19:03:58.495303 - Loading tokenizer (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:03:58.548302 - Loading text encoder model (llm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-text-encoder-tokenizer

2025-01-25T19:03:58.574336 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:03:58.574336 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:03:58.574336 -

2025-01-25T19:03:58.575336 - !!! Exception during processing !!! No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:03:58.576336 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 684, in loadmodel

text_encoder = TextEncoder(

^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 167, in init

self.model, self.model_path = load_text_encoder(

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 39, in load_text_encoder

text_encoder = AutoModel.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 564, in from_pretrained

return model_class.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4224, in from_pretrained

) = cls._load_pretrained_model(

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4770, in loadpretrained_model

state_dict = load_state_dict(

^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 504, in load_state_dict

with safe_open(checkpoint_file, framework="pt") as f:

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

FileNotFoundError: No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:03:58.578336 - Prompt executed in 0.44 seconds

2025-01-25T19:05:00.565587 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:00.565587 -

2025-01-25T19:05:00.565587 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:00.565587 -

2025-01-25T19:05:00.565587 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:00.565587 -

2025-01-25T19:05:00.565587 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:00.565587 -

2025-01-25T19:05:00.565587 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:00.565587 -

2025-01-25T19:05:00.566586 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:00.566586 -

2025-01-25T19:05:02.472795 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:02.472795 -

2025-01-25T19:05:02.472795 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:02.472795 -

2025-01-25T19:05:02.472795 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:02.472795 -

2025-01-25T19:05:02.472795 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:02.472795 -

2025-01-25T19:05:02.472795 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:02.472795 -

2025-01-25T19:05:02.472795 - Error. No naistyles.csv found. Put your naistyles.csv in the custom_nodes/ComfyUI_NAI-mod/CSV directory of ComfyUI. Then press "Refresh".

Your current root directory is: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI

2025-01-25T19:05:02.472795 -

2025-01-25T19:05:04.680517 - got prompt

2025-01-25T19:05:04.699524 - Loading text encoder model (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:05:05.009471 - Text encoder to dtype: torch.float16

2025-01-25T19:05:05.125463 - Loading tokenizer (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:05:05.176464 - Loading text encoder model (llm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-text-encoder-tokenizer

2025-01-25T19:05:05.203463 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:05:05.203463 -

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]2025-01-25T19:05:05.203463 -

2025-01-25T19:05:05.203463 - !!! Exception during processing !!! No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:05:05.204463 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 684, in loadmodel

text_encoder = TextEncoder(

^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 167, in init

self.model, self.model_path = load_text_encoder(

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 39, in load_text_encoder

text_encoder = AutoModel.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 564, in from_pretrained

return model_class.from_pretrained(

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4224, in from_pretrained

) = cls._load_pretrained_model(

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 4770, in loadpretrained_model

state_dict = load_state_dict(

^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\modeling_utils.py", line 504, in load_state_dict

with safe_open(checkpoint_file, framework="pt") as f:

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

FileNotFoundError: No such file or directory: "D:\\ComfyUI_windows_portable_nvidia\\ComfyUI_windows_portable\\ComfyUI\\models\\LLM\\llava-llama-3-8b-text-encoder-tokenizer\\model-00001-of-00004.safetensors"

2025-01-25T19:05:05.205471 - Prompt executed in 0.52 seconds

2025-01-25T19:05:10.119189 - got prompt

2025-01-25T19:05:10.149183 - Loading text encoder model (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:05:10.382084 - Text encoder to dtype: torch.float16

2025-01-25T19:05:10.485083 - Loading tokenizer (clipL) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14

2025-01-25T19:05:11.197818 - Loading text encoder model (vlm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers

2025-01-25T19:05:26.055480 -

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:14<00:00, 3.42s/it]2025-01-25T19:05:26.055480 -

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:14<00:00, 3.70s/it]2025-01-25T19:05:26.055480 -

2025-01-25T19:05:34.647669 - Text encoder to dtype: torch.float16

2025-01-25T19:05:37.668186 - Loading tokenizer (vlm) from: D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers

2025-01-25T19:05:37.897179 - !!! Exception during processing !!! list index out of range

2025-01-25T19:05:37.898178 - Traceback (most recent call last):

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 327, 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 "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 202, in get_output_data

return_values = mapnode_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 174, in mapnode_over_list

process_inputs(input_dict, i)

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 163, in process_inputs

results.append(getattr(obj, func)(**inputs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 884, in process

prompt_embeds, negative_prompt_embeds, attention_mask, negative_attention_mask = encode_prompt(self,

^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\nodes.py", line 809, in encode_prompt

text_inputs = text_encoder.text2tokens(prompt,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-HunyuanVideoWrapper\hyvideo\text_encoder\__init__.py", line 253, in text2tokens

text_tokens = self.processor(

^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\llava\processing_llava.py", line 145, in call

image_inputs = self.image_processor(images, **output_kwargs["images_kwargs"])

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_processing_utils.py", line 41, in call

return self.preprocess(images, **kwargs)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\models\clip\image_processing_clip.py", line 286, in preprocess

images = make_list_of_images(images)

^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_utils.py", line 185, in make_list_of_images

if is_batched(images):

^^^^^^^^^^^^^^^^^^

File "D:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\image_utils.py", line 158, in is_batched

return is_valid_image(img[0])

~~~^^^

IndexError: list index out of range

2025-01-25T19:05:37.899179 - Prompt executed in 27.77 seconds

```

## Attached Workflow

Please make sure that workflow does not contain any sensitive information such as API keys or passwords.

```

{"last_node_id":81,"last_link_id":109,"nodes":[{"id":43,"type":"HyVideoEncode","pos":[-280,430],"size":[420,150],"flags":{},"order":11,"mode":0,"inputs":[{"name":"vae","type":"VAE","link":54},{"name":"image","type":"IMAGE","link":63}],"outputs":[{"name":"samples","type":"LATENT","links":[64],"slot_index":0}],"properties":{"Node name for S&R":"HyVideoEncode"},"widgets_values":[false,64,128,true]},{"id":61,"type":"mxSlider","pos":[-280,-180],"size":[800,30],"flags":{"pinned":false},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"","type":"INT","links":[86,89],"slot_index":0}],"title":"FRAMES","properties":{"Node name for S&R":"mxSlider","value":97,"min":1,"max":301,"step":4,"decimals":0,"snap":true},"widgets_values":[97,97,0],"color":"#000000","bgcolor":"#b30057","shape":1},{"id":5,"type":"HyVideoDecode","pos":[560,-270],"size":[345.4285888671875,150],"flags":{"collapsed":false},"order":15,"mode":0,"inputs":[{"name":"vae","type":"VAE","link":6},{"name":"samples","type":"LATENT","link":4}],"outputs":[{"name":"images","type":"IMAGE","links":[83,87],"slot_index":0}],"properties":{"Node name for S&R":"HyVideoDecode"},"widgets_values":[true,64,192,false]},{"id":68,"type":"HyVideoLoraSelect","pos":[-1010,-380],"size":[380,102],"flags":{},"order":7,"mode":4,"inputs":[{"name":"prev_lora","type":"HYVIDLORA","link":92,"shape":7},{"name":"blocks","type":"SELECTEDBLOCKS","link":null,"shape":7}],"outputs":[{"name":"lora","type":"HYVIDLORA","links":[91],"slot_index":0}],"properties":{"Node name for S&R":"HyVideoLoraSelect"},"widgets_values":["lora Hun\\closeupface-v1.1.safetensors",0.7000000000000001]},{"id":69,"type":"HyVideoLoraSelect","pos":[-1010,-540],"size":[380,102],"flags":{},"order":1,"mode":4,"inputs":[{"name":"prev_lora","type":"HYVIDLORA","link":null,"shape":7},{"name":"blocks","type":"SELECTEDBLOCKS","link":null,"shape":7}],"outputs":[{"name":"lora","type":"HYVIDLORA","links":[92],"slot_index":0}],"properties":{"Node name for S&R":"HyVideoLoraSelect"},"widgets_values":["lora Hun\\closeupface-v1.1.safetensors",0.7000000000000001]},{"id":7,"type":"HyVideoVAELoader","pos":[-280,-310],"size":[379.166748046875,82],"flags":{},"order":2,"mode":0,"inputs":[{"name":"compile_args","type":"COMPILEARGS","link":null,"shape":7}],"outputs":[{"name":"vae","type":"VAE","links":[6,54],"slot_index":0}],"title":"VAE","properties":{"Node name for S&R":"HyVideoVAELoader"},"widgets_values":["hunyuan_video_vae_bf16.safetensors","bf16"]},{"id":63,"type":"Label (rgthree)","pos":[1170,-270],"size":[336.1572265625,25],"flags":{"allow_interaction":true},"order":3,"mode":0,"inputs":[],"outputs":[],"title":"SKIP FIRST JUNKY FRAMES","properties":{"fontSize":25,"fontFamily":"Arial","fontColor":"#ffffff","textAlign":"left","backgroundColor":"transparent","padding":0,"borderRadius":0},"color":"#fff0","bgcolor":"#fff0"},{"id":50,"type":"Note","pos":[-1010,80],"size":[557.0466918945312,58],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[],"title":"GET THE LORA HERE:","properties":{},"widgets_values":["https://huggingface.co/leapfusion-image2vid-test/image2vid-512x320/blob/main/img2vid.safetensors"],"color":"#432","bgcolor":"#653"},{"id":45,"type":"ImageResizeKJ","pos":[-620,190],"size":[315,266],"flags":{},"order":8,"mode":0,"inputs":[{"name":"image","type":"IMAGE","link":81},{"name":"get_image_size","type":"IMAGE","link":null,"shape":7},{"name":"width_input","type":"INT","link":null,"widget":{"name":"width_input"},"shape":7},{"name":"height_input","type":"INT","link":null,"widget":{"name":"height_input"},"shape":7}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[63,108],"slot_index":0},{"name":"width","type":"INT","links":[69],"slot_index":1},{"name":"height","type":"INT","links":[70],"slot_index":2}],"properties":{"Node name for S&R":"ImageResizeKJ"},"widgets_values":[320,480,"lanczos",false,2,0,0,"center"]},{"id":3,"type":"HyVideoSampler","pos":[210,-90],"size":[310,670],"flags":{},"order":14,"mode":0,"inputs":[{"name":"model","type":"HYVIDEOMODEL","link":2},{"name":"hyvid_embeds","type":"HYVIDEMBEDS","link":74},{"name":"samples","type":"LATENT","link":64,"shape":7},{"name":"stg_args","type":"STGARGS","link":null,"shape":7},{"name":"context_options","type":"HYVIDCONTEXT","link":null,"shape":7},{"name":"feta_args","type":"FETAARGS","link":null,"shape":7},{"name":"teacache_args","type":"TEACACHEARGS","link":null,"shape":7},{"name":"width","type":"INT","link":69,"widget":{"name":"width"}},{"name":"height","type":"INT","link":70,"widget":{"name":"height"}},{"name":"num_frames","type":"INT","link":89,"widget":{"name":"num_frames"}}],"outputs":[{"name":"samples","type":"LATENT","links":[4],"slot_index":0}],"properties":{"Node name for 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```

## Additional Context

(Please add any additional context or steps to reproduce the error here)

choose llm_model from Kijai

@myprivacy27091991221 when I choose it I have exactly the same error message as this LLAMA silk or the other

anomaly rectify

I'm a smooth brain. Beyond "install missing custom nodes", and "Update all" in the comfyUI manager what is required? Do we have to manually get stuff from GitHub or something? I also search for Kijai and then "try update". So Update all doesn't actually update all?

@greentheory I think that should be fine? Can you run the workflow now?

@half_real No I can't, its getting stuck on the VAE ComfyUI-HunyuanVideoWrapper node. I updated to 1.0.1

Edit - I swapped out some models to the Kijai specific ones, seems to have fixed it

I am also stuck on sage attention, im not sure what to do here. I dont have sageattn_varlen

@mrbosstv I got it to work by switching to comfy as the attention and using the exact cfgdistill model preloaded instead of the one I had.

load into your venv for comfy "pip install sageattention"

@marviskealan254 could you let me know which folder I need to run this command in please?

Hi, I had the same issue and I found out it's because of the VAE. Download the VAE from Kijai's repo: https://huggingface.co/Kijai/HunyuanVideo_comfy/tree/main (and make sure you are replacing the VAE in the comfyui VAE model folder)

@Matlo I can't believe it! Worked :) They had the same name and size as the one I already had so I didn't even imagined it was different.. thanks for the tip man, this should be on every workflow that use kijai wrapper as a warning in the description.

@Matlo thanks bro I'd never figured it out myself since I hadthis file already

@NoArtifact @TurboCoomer 💕🙏

Oh my goodness, I was getting frustrated because I was SO sure I was using the right vae. But just to put my ego aside I downloaded the same sized one from the link and it worked immediately. DO NOT BE LIKE ME, even if you are pretty sure, just download the linked vae and try again.

@Cyphermodx yeah, and rename it with kijai_ in front so you don't confuse in case the other have it's particular use as well

LatentDream is correct...and also, per OPs questions, yes a seed of 1234 or 1235 is as different to a computer of 1234 vs 23452345234523452345324

@LatentDream hehe, I saw the node. : ) I probably don't have the custom node that shows the actual slider. You don't get a "missing nodes" type message. It just shows as a blank red space to me. I was able to edit the properties of the frames node to enter the frames I wanted. Wow, I didn't know you were the original discoverer of the 201 frames. Thanks! For these short videos, seamless loops make a big difference to me.

An easier fix without adding a LORA for this is to just adjust the img2vid LORA back and forth between 1.0000 and .9999 each time you do a new generation. It seems as long as it has to recalculate the LORA strength it works. This is a possible fix if you are have a video that has 1 second of your image and then goes off the rails completely (as if there is no LORA)

I have the same issue but changing lora weights does not fix it :(

@TurboCoomer So strange. It's not 100% but I just tried 5 generations adjusting img2vid weight in this order: .9999 success. 1.0 success, 1.0001 failed (1 sec then off rails), 1.0 success, .9999 success. 4 out of five (I was using incremental seeds each generation. It's either really good or as if LORA is unloaded after 1 second. If you are getting 1 good result then all bad, you might try the "unload models" and "free model and nodes cache" buttons in ComfyUI (the icons look like a wired mouse controller on the menu bar to me). That might work but it's a lot of loading/unloading time each generation. It appears they are aware of the issue and a commit for ComfyUI update is in the works according to the linked thread. I'm using a 4090 in case that factors into anything.