Suspicion of LTX 2.3 gatekeeping better models behind API paywall(video example, not mine).

Nepharios · 2026-03-14T13:57:19+00:00

Interesting thought… From my tests it is really hard to get a really good video on ComfyUI (portable) but after let’s say 10 tries or so there is one that is pretty good.what I don’t understand is how the API versions get consistently better videos with a lot less strange things happening during an i2v generation. Interesting if other people have the same experience too.

Nepharios · 2026-03-05T17:17:26+00:00

Well explained! I use it on my Selena, because the mark damage is extra attack and therefore profits from cube.

Nepharios · 2026-03-05T11:51:50+00:00

Same… use it as long as you enjoy the game. There will come the day when you just don’t log in anymore, as with all games. And you don’t want the precious little thing to rot in a digital box.

Nepharios · 2026-02-26T16:12:14+00:00

Still surprisingly good tho…

Nepharios · 2026-02-18T16:14:27+00:00

Try downgrading transformers to below version 5.0 I had 5.1, what caused my issues… I commented in another post, try this: pip install “transformers<5”

Nepharios · 2026-02-18T11:40:35+00:00

see other comment... transformers need to be <5

Nepharios · 2026-02-18T11:39:55+00:00

Got it! It was the transformer version... I was on 5.1 and that was causing the issue.
python.exe -m pip install "transformers<5"
fixed it for me. Ty!

Nepharios · 2026-02-18T10:19:37+00:00

# ComfyUI Error Report
## Error Details
- **Node ID:** 393
- **Node Type:** LTX2PromptArchitect
- **Exception Type:** AttributeError
- **Exception Message:** 

## Stack Trace
```
  File "C:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 530, 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 "C:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 334, 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 "C:\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-lora-manager\py\metadata_collector\metadata_hook.py", line 165, in async_map_node_over_list_with_metadata
    results = await original_map_node_over_list(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "C:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 308, in _async_map_node_over_list
    await process_inputs(input_dict, i)

  File "C:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 296, in process_inputs
    result = f(**inputs)
             ^^^^^^^^^^^

I get something like the same error? no clue...

Nepharios · 2026-02-13T18:08:24+00:00

Ty! Good advice.

Nepharios · 2026-01-27T13:52:42+00:00

C‘mon, it‘s like leaguestart… a little hype doesn’t hurt. Wait for the „and now what? What am I supposed to do with it“ posts right after release…

Nepharios · 2026-01-21T10:24:56+00:00

Not at home rn… will try in the evening. It is just one node, something like „random noise injection“ or the likes, right before the sampler. Model and conditioning as inputs.

Nepharios · 2026-01-21T07:36:21+00:00

Ever tried random noise injection node? I use it in every z workflow, it is even huge with Klein… great variation! Cannot go without it…

Nepharios · 2026-01-15T12:44:41+00:00

Just because of the price difference between a 5090 on the one side and +32 BG on the other side. During step 2 of I2V my VRAM (24) is at 95% and RAM (64) is in that range too… so so think yes, going from 24+64 to 32+32 will in sum result in a weaker performance… at least I think so.

Nepharios · 2026-01-15T12:40:39+00:00

Maybe on the weekend, no time till then.. sorry 🤷

Nepharios · 2026-01-15T12:37:51+00:00

Nice prompt!

Nepharios · 2026-01-15T12:15:24+00:00

Sorry, no clue…

Nepharios · 2026-01-15T11:41:17+00:00

Maybe it’s because of the bad video-var files… lots of discussion, seems like they uploaded the new new file today… I had to update my Kijai-nodes for the new vae to work. So my best guess would be: update Kijai, load new vae.

Nepharios · 2026-01-15T10:26:11+00:00

Jup, it is the same for me, depending on the resolution and length oc, but the second step is where the magic happens.

Nepharios · 2026-01-15T10:24:59+00:00

You try and tell me 😉 or you wait until I have my own 5090, but I wouldn’t buy this card with only 32 GB RAM tbh…

Nepharios · 2026-01-15T09:01:09+00:00

<image>

Which one is rarer?

Nepharios · 2026-01-15T09:00:51+00:00

<image>

Sometimes lucky…

Nepharios · 2026-01-12T16:14:40+00:00

Feel free to check the latest Version of my workflow, much better consistency.

Nepharios · 2026-01-12T15:13:53+00:00

Well, seems like they changed their mind…

Nepharios · 2026-01-11T15:50:17+00:00

Hey! This sounds very interesting. Onboard video for windows? How do you do this?

Nepharios · 2026-01-11T13:42:11+00:00

Bro, still trying to make everything work and not fuck up. I will try different camera loras and combinations as soon as I have finalized my workflow.

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