using a rtx 4090 + 192GB RAM I was already able to produde videos longer than 20 sec. BUT.. it seems that there is a frame limit for ffmpeg, which drops an error if you try to save clips, that have more than a certain amount of frames. I'm able to produce clips 23sec long at 50 fps native. if I try to save a 20sec clip at 100 fps (50fps native + interpolation), ffmpeg fails. hopefully someone here can figure it out since google was not able to give me the right answers. I tried both, the native video save node and the save video node by videohelpersuite.

what about this folder? where do I put it?ComfyUI_LTX2_SeqParallel

I have an rtx3090 with 64gb ram and it took a while, but I was able to replicate your woman on the street interview with fewer errors. Audio was smoother than in the version supplied with your files. For some reason, although it's not specified in your prompt, my version also starts with a camcorder autofocus coming into focus effect as the woman approaches . LTX 2 has a weird Flux smoothness quality to the skin that can be pretty creepy at times. Not as creepy in this generation. No British accent. And the videos refuse to say the line about techbros being d--kheads. And the file is only 13MB. Thanks!

3090 here, it takes me 4 minutes to generate a 1240 x 720 video. idk how u did that in 25 sec but this workflow aint for me

Please add first, middle and last frame 🔥

The workflow runs very fast at the first run but any future run need 3x-4x more time, any idea why ? (same settings, adjusted prompt)

# ComfyUI Error Report ## Error Details - **Node ID:** 92:3 - **Node Type:** CLIPTextEncode - **Exception Type:** torch.OutOfMemoryError - **Exception Message:** Allocation on device This error means you ran out of memory on your GPU.

tried img2vid I have 3090 and 64gb ram

I've spent hours trying to get this workflow running, and no matter what it hangs. It seems like the only v2v solution, just wish I could get it to run.

Updated the LTX custom nodes but your recent workflow with firstlastframe nodes might be outdated already? The nodes LTXVFirstLastFrameControl_TTP don't seem to exist in the latest LTX custom nodes?

while yo workflow uses ComfyUI_LTX-2_VRAM_Memory_Management . its only for single gpu made or can turn in multi-gpu?

about the ComfyUI_LTX-2_VRAM_Memory_Management, I was using git clone for that but it couldnt load on comfyui launch. as they wrote on their page, I only kept the 2 folders (comfyui_tensor_parallel_v2 and v3) and deleted the main folder with other files. You wrote to download the 3 folders. which ones?

THanks for your WF. I really wanted to use it but I cant. I mark just T2V but anyway is asking me for mp4 clip, Why ?

[Errno 2] No such file or directory: 'F:\\ComfyUI 3.10\\ComfyUI\\input\\22.mp4'

https://postimg.cc/QHBV6hSB

CreateVideo.execute() missing 1 required positional argument: 'images'
Is there a guide on how to use it? There are so many errors when I try to fix something.

Thanks for your work, I'm getting
Cannot execute because a node is missing the class_type property.: Node ID '#92:258' any idea what it could be ?
Using ComfyUI 0.11.1

Thanks for publish this. I'm having issues getting basic txt2vid to run. First, I had to disable the Gemma 3 model loader and replace it with a LoadClip. I gave gemma_3_12B_it.safetensors but the gemma3 model loader had an error. I loaded a dummy image and video, but then I get "GetVideoComponents 'NoneType' object has no attributes 'get_components'"

Please help !
I have this simple error with the math node but i tried to fix it , but it didn't work
https://postimg.cc/1fsHJtgW

If you have errors, try this version: https://github.com/Tavris1/ComfyUI-Easy-Install

Desktop ComfyUI also has errors for me.

“I managed to make a 30-second video in 5 minutes, but how can I improve the quality? Everything looks very blurry.”

I2V just seems to be a still image with a camera panning in, and out there is no movement at all. Why is this the case?

This is the last one on 5070ti:
CUDA error: invalid argument Search for cudaErrorInvalidValue' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with TORCH_USE_CUDA_DSA` to enable device-side assertions.

Please, help me! I have a 4070 super ti 16 gb vram, 64 Gb DDR4 system RAM

RuntimeError: Sizes of tensors must match except in dimension 2. Expected size 33 but got size 1 for tensor number 1 in the list.

TensorParallelV3: Setting up FFN chunking...

Chunks: 10

Found 96 FFN modules

Wrapped 96 FFN modules

Sampling split indices: [3, 6]

Sigmas chunks: [tensor([1.0000, 0.9937, 0.9875, 0.9812]), tensor([0.9812, 0.9750, 0.9094, 0.7250]), tensor([0.7250, 0.4219, 0.0000])]

Sampling with sigmas tensor([1.0000, 0.9937, 0.9875, 0.9812])

!!! Exception during processing !!! Sizes of tensors must match except in dimension 2. Expected size 33 but got size 1 for tensor number 1 in the list.

Traceback (most recent call last):

File "/home/juanma/ComfyUI/execution.py", line 527, 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/juanma/ComfyUI/execution.py", line 331, in get_output_data

return_values = await asyncmap_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/juanma/ComfyUI/custom_nodes/comfyui-lora-manager/py/metadata_collector/metadata_hook.py", line 168, in async_map_node_over_list_with_metadata

results = await original_map_node_over_list(

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

File "/home/juanma/ComfyUI/execution.py", line 305, in asyncmap_node_over_list

await process_inputs(input_dict, i)

File "/home/juanma/ComfyUI/execution.py", line 293, in process_inputs

result = f(**inputs)

^^^^^^^^^^^

File "/home/juanma/ComfyUI/comfy_api/internal/__init__.py", line 149, in wrapped_func

return method(locked_class, **inputs)

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

File "/home/juanma/ComfyUI/comfy_api/latest/_io.py", line 1710, in EXECUTE_NORMALIZED

to_return = cls.execute(*args, **kwargs)

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

File "/home/juanma/ComfyUI/custom_nodes/ComfyUI-LTXVideo/easy_samplers.py", line 1020, in execute

(_, latent_image) = SamplerCustomAdvanced().execute(

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

File "/home/juanma/ComfyUI/comfy_extras/nodes_custom_sampler.py", line 961, in execute

samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed)

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

File "/home/juanma/ComfyUI/comfy/samplers.py", line 1007, in sample

latent_image, latent_shapes = comfy.utils.pack_latents(latent_image.unbind())

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

File "/home/juanma/ComfyUI/comfy/utils.py", line 1285, in pack_latents

latent = torch.cat(tensors, dim=-1)

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

RuntimeError: Sizes of tensors must match except in dimension 2. Expected size 33 but got size 1 for tensor number 1 in the list.

[KikoStats] Workflow completed in 344.83s

Prompt executed in 344.83 seconds

got prompt

^C

Stopped server

Scheduler service stopped, all schedules cleared

Now audio works, but when video is longer than 5 seconds there is a hum in the audio. how can I fix this? (10 or 8 or 6 sec/24 fps/small video resolution)

very smart workflow, Thank You! running on ubuntu with 5000 series rtx gpu. would not work until i changed the clip loader to ltxv2textecoderloader node. i have 3 gpus so im using the multi-gpu node but even if you just have 1 use this node then everything works like magic. im using gemmafp4 and ltxdistlled19bfp8. seems like you have to have everything matched up in the right combo to work. owner should put this in the notes and take cash donations for all his work. thanks.

im having promblem with the TensorParallelV3Node, cant find it.

CANNOT USE THIS WORKFLOW:

Missing custom nodes that are NOT found when clicking on INSTALL MISSING CUSTOM NODES. These are as follows:

Install RequiredTensorParallelV3Node

in subgraph 'Text to Video (LTX 2.0 Distilled)'

Install RequiredLTXVFirstLastFrameControl_TTP

in subgraph 'Text to Video (LTX 2.0 Distilled)'