ComfyUI-LTXVideo
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Published
1 week ago
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Lightricks
Lightricks
LTX-2 - Still getting mat1 and mat2 shapes cannot be multiplied (1024x62208 and 188160x3840) even with live preview off.
Hi guys, so i've been trying out the LTX-2 workflow on a reasonably fresh install. Python 3.12, pytorch 2.9.0 with cuda 12.8 on an RTX Pro 6000 Blackwell.
I can run the default comfy workflow for LTX-2 which generates clips pretty damn fast, which is awesome! However when I try to use the LTXVideo workflows - which I'd like to do given they're the ones from the team that built this model, I get this error.. consistently
RuntimeError: mat1 and mat2 shapes cannot be multiplied (1024x62208 and 188160x3840)
I've tried about 3-4 different gemma-3-12b models, all seem to work on the comfy workflow, but have real issues with the LTX T2V flows.
I've disabled live preview, on command line and ensured its set to 'none' on the settings panel too..
Any thoughts?
Startup log and all that attached :
Launching ComfyUI from: /home/ace/comfy-dev/ltx-2-test
Adding extra search path checkpoints /home/ace/comfy-dev/_shared_models/checkpoints
Adding extra search path text_encoders /home/ace/comfy-dev/_shared_models/text_encoders
Adding extra search path text_encoders /home/ace/comfy-dev/_shared_models/clip/
Adding extra search path clip /home/ace/comfy-dev/_shared_models/clip
Adding extra search path clip_vision /home/ace/comfy-dev/_shared_models/clip_vision
Adding extra search path configs /home/ace/comfy-dev/_shared_models/configs
Adding extra search path controlnet /home/ace/comfy-dev/_shared_models/controlnet
Adding extra search path diffusion_models /home/ace/comfy-dev/_shared_models/diffusion_models
Adding extra search path diffusion_models /home/ace/comfy-dev/_shared_models/unet
Adding extra search path embeddings /home/ace/comfy-dev/_shared_models/embeddings
Adding extra search path loras /home/ace/comfy-dev/_shared_models/loras
Adding extra search path upscale_models /home/ace/comfy-dev/_shared_models/upscale_models
Adding extra search path latent_upscale_models /home/ace/comfy-dev/_shared_models/latent_upscale_models
Adding extra search path vae /home/ace/comfy-dev/_shared_models/vae
Adding extra search path TTS /home/ace/comfy-dev/_shared_models/tts
Adding extra search path voices /home/ace/comfy-dev/_shared_models/tts/voices
[START] Security scan
[ComfyUI-Manager] Using `uv` as Python module for pip operations.
Using Python 3.12.12 environment at: /home/ace/miniconda3/envs/comfyenv_LTX-2
[DONE] Security scan
## ComfyUI-Manager: installing dependencies done.
** ComfyUI startup time: 2026-01-07 05:04:29.290
** Platform: Linux
** Python version: 3.12.12 | packaged by Anaconda, Inc. | (main, Oct 21 2025, 20:16:04) [GCC 11.2.0]
** Python executable: /home/ace/miniconda3/envs/comfyenv_LTX-2/bin/python3.12
** ComfyUI Path: /home/ace/comfy-dev/ltx-2-test
** ComfyUI Base Folder Path: /home/ace/comfy-dev/ltx-2-test
** User directory: /home/ace/comfy-dev/ltx-2-test/user
** ComfyUI-Manager config path: /home/ace/comfy-dev/ltx-2-test/user/__manager/config.ini
** Log path: /home/ace/comfy-dev/ltx-2-test/user/comfyui.log
Using Python 3.12.12 environment at: /home/ace/miniconda3/envs/comfyenv_LTX-2
Using Python 3.12.12 environment at: /home/ace/miniconda3/envs/comfyenv_LTX-2
Prestartup times for custom nodes:
0.2 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyUI-Manager
Checkpoint files will always be loaded safely.
Total VRAM 97248 MB, total RAM 94169 MB
pytorch version: 2.9.0+cu129
Enabled fp16 accumulation.
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA RTX PRO 6000 Blackwell Workstation Edition : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 89460.0
working around nvidia conv3d memory bug.
Found comfy_kitchen backend cuda: {'available': False, 'disabled': False, 'unavailable_reason': 'libcublasLt.so.13: cannot open shared object file: No such file or directory', 'capabilities': []}
Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}
Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}
Using sage attention
Python version: 3.12.12 | packaged by Anaconda, Inc. | (main, Oct 21 2025, 20:16:04) [GCC 11.2.0]
ComfyUI version: 0.7.0
ComfyUI frontend version: 1.35.9
[Prompt Server] web root: /home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/comfyui_frontend_package/static
Total VRAM 97248 MB, total RAM 94169 MB
pytorch version: 2.9.0+cu129
Enabled fp16 accumulation.
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA RTX PRO 6000 Blackwell Workstation Edition : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 89460.0
Unable to parse pyproject.toml due to lack dependency pydantic-settings, please run 'pip install -r requirements.txt': Expected '=' after a key in a key/value pair (at line 39, column 10)
----------------------------------------------------------------------
[ComfyUI-Manager] NOTICE: Legacy backup exists
- Your old Manager data was backed up to:
/home/ace/comfy-dev/ltx-2-test/user/__manager/.legacy-manager-backup
- Please verify and remove it when no longer needed.
----------------------------------------------------------------------
### Loading: ComfyUI-Manager (V3.39)
[ComfyUI-Manager] network_mode: private
[ComfyUI-Manager] ComfyUI per-queue preview override detected (PR #11261). Manager's preview method feature is disabled. Use ComfyUI's --preview-method CLI option or 'Settings > Execution > Live preview method'.
### ComfyUI Version: v0.7.0-22-ge14f3b66 | Released on '2026-01-05'
Using sage attention
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
[ComfyUI-Manager] The private comfyregistry is not yet supported in `network_mode=private`.
[ComfyUI-Manager] All startup tasks have been completed.
(RES4LYF) Init
(RES4LYF) Importing beta samplers.
(RES4LYF) Importing legacy samplers.
Import times for custom nodes:
0.0 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/websocket_image_save.py
0.0 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyMath
0.0 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/comfyui_essentials
0.0 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/comfyui-videohelpersuite
0.0 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/comfyui-kjnodes
0.0 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyUI-Manager
0.1 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyUI-LTXVideo
0.2 seconds: /home/ace/comfy-dev/ltx-2-test/custom_nodes/RES4LYF
Context impl SQLiteImpl.
Will assume non-transactional DDL.
No target revision found.
Starting server
To see the GUI go to: http://0.0.0.0:9000
got prompt
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 v4.50, 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`.
Loaded processor from /home/ace/comfy-dev/_shared_models/text_encoders - enhancement enabled
Some weights of Gemma3ForConditionalGeneration were not initialized from the model checkpoint at /home/ace/comfy-dev/_shared_models/text_encoders and are newly initialized: ['language_model.lm_head.weight', 'language_model.model.embed_tokens.weight', 'language_model.model.layers.0.input_layernorm.weight', 'language_model.model.layers.0.mlp.down_proj.weight', 'language_model.model.layers.0.mlp.gate_proj.weight', 'language_model.model.layers.0.mlp.up_proj.weight', 'language_model.model.layers.0.post_attention_layernorm.weight', 'language_model.model.layers.0.post_feedforward_layernorm.weight', 'language_model.model.layers.0.pre_feedforward_layernorm.weight', 'language_model.model.layers.0.self_attn.k_norm.weight', 'language_model.model.layers.0.self_attn.k_proj.weight', 'language_model.model.layers.0.self_attn.o_proj.weight', 'language_model.model.layers.0.self_attn.q_norm.weight', 'language_model.model.layers.0.self_attn.q_proj.weight', 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You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
Requested to load _LTXVGemmaTextEncoderModel
loaded completely; 95455.99 MB usable, 9068.28 MB loaded, full load: True
Token indices sequence length is longer than the specified maximum sequence length for this model (1077 > 1024). Running this sequence through the model will result in indexing errors
!!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (1024x62208 and 188160x3840)
Traceback (most recent call last):
File "/home/ace/comfy-dev/ltx-2-test/execution.py", line 518, in execute
output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/execution.py", line 329, in get_output_data
return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/execution.py", line 303, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "/home/ace/comfy-dev/ltx-2-test/execution.py", line 291, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/nodes.py", line 77, in encode
return (clip.encode_from_tokens_scheduled(tokens), )
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/comfy/sd.py", line 207, in encode_from_tokens_scheduled
pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/comfy/sd.py", line 271, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyUI-LTXVideo/gemma_encoder.py", line 321, in encode_token_weights
encoded_input = self(input_ids, attention_mask, padding_side="left")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyUI-LTXVideo/gemma_encoder.py", line 304, in forward
projected = self.feature_extractor_linear(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/comfy-dev/ltx-2-test/custom_nodes/ComfyUI-LTXVideo/gemma_encoder.py", line 189, in forward
return self.aggregate_embed(x)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ace/miniconda3/envs/comfyenv_LTX-2/lib/python3.12/site-packages/torch/nn/modules/linear.py", line 134, in forward
return F.linear(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: mat1 and mat2 shapes cannot be multiplied (1024x62208 and 188160x3840)
Prompt executed in 42.54 seconds
Thanks in advance!
